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merged 7 skills (Standardization+Modularization+Generalization+Ecosystem+Registry+SkillLearner+Starter)\n\nArchive index:\n\nArchive v3.0.2: 9 files, 11638 bytes\n\nFiles: prompts/01-implement-method.md (1154b), prompts/02-robustness-checks.md (1461b), prompts/03-test-cases.md (1431b), prompts/04-documentation.md (1413b), prompts/05-workflow-execution.md (1500b), references/method-patterns.md (8633b), skill-card.md (2366b), SKILL.md (5385b), _meta.json (139b)\n\nFile v3.0.2:SKILL.md\n\n---\r\nname: \"AI Company Framework\"\r\nslug: \"ai-company-framework\"\r\nversion: \"3.0.0\"\r\nhomepage: \"https://clawhub.com/skills/ai-company-framework\"\r\ndescription: |\r\n  Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\nlicense: MIT-0\r\ninstall:\r\n  requires: []\r\n  verify_command: python -c \"print('ok')\"\r\ndependencies:\r\n  runtime:\r\n    - python3.9+\r\n  skills: [\"ai-company-hq\",\"ai-company-harness\"]\r\ntags: [ai-company,framework,schema,standardization,modularization,generalization,registry,pipeline,starter]\r\ntriggers:\r\n  - schema compliance\r\n  - skill standardization\r\n  - modularization\r\n  - generalization\r\n  - ecosystem registry\r\n  - skill learning\r\n  - skill scaffolding\r\n  - naming conventions\r\ninterface:\r\n  inputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        task:\r\n          type: string\r\n          description: Task description\r\n        context:\r\n          type: object\r\n          description: Optional context information\r\n      required: [task]\r\n  outputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        result:\r\n          type: string\r\n          description: Operation result\r\n        report:\r\n          type: object\r\n          description: Detailed report data\r\n      required: [result]\r\n  errors:\r\n    - code: FW_001\r\n      message: \"Schema validation failed\"\r\n    - code: FW_002\r\n      message: \"Modularization violation\"\r\n    - code: FW_003\r\n      message: \"Registry lookup failed\"\r\n    - code: FW_004\r\n      message: \"Learning pipeline error\"\r\n    - code: FW_005\r\n      message: \"Scaffolding generation failed\"\r\npermissions:\r\n  files: [read, write]\r\n  network: [api]\r\n  commands: []\r\n  mcp: [sessions_send, subagents]\r\nquality:\r\n  saST: Pass\r\n  vetter: Approved\r\n  idempotent: true\r\nmetadata:\r\n  category: infrastructure\r\n  layer: AGENT\r\n  cluster: ai-company\r\n  maturity: STABLE\r\n  license: MIT-0\r\n  standardized: true\r\n  department: framework-and-infrastructure\r\n  merged_from: [ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n---\r\n\r\n# AI Company Framework v3.0.0\r\n\r\n> Index & Quick Reference. Full specifications in [references/method-patterns.md](references/method-patterns.md).\r\n\r\n## Quick Reference\r\n\r\n### Role\r\nAI Company Framework — Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\n\r\n### Department\r\nFramework & Infrastructure\r\n\r\n### Merged From\r\n[ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n\r\n## Section Index\r\n\r\n- [1. Trigger Scenarios](references/method-patterns.md#1-trigger-scenarios)\r\n- [2. Core Identity](references/method-patterns.md#2-core-identity)\r\n- [3. Core Responsibilities](references/method-patterns.md#3-core-responsibilities)\r\n- [4. Constraints](references/method-patterns.md#4-constraints)\r\n\r\n## Dependencies\r\n\r\nSee frontmatter `dependencies.skills` for complete dependency list.\r\n\r\n## Error Codes\r\n\r\nSee frontmatter `interface.errors` for complete error code reference.\r\n\r\n## Prompts\r\n\r\nCopy-paste ready prompts in [prompts/](prompts/):\r\n- [01-implement-method.md](prompts/01-implement-method.md)\r\n- [02-robustness-checks.md](prompts/02-robustness-checks.md)\r\n- [03-test-cases.md](prompts/03-test-cases.md)\r\n- [04-documentation.md](prompts/04-documentation.md)\r\n- [05-workflow-execution.md](prompts/05-workflow-execution.md)\r\n\r\n## Changelog\r\n\r\n| Version | Date | Changes |\r\n|---------|------|---------|\r\n| 3.0.0 | 2026-04-26 | Full English rewrite; department-aligned structure; merged skills consolidated |\r\n\r\n---\r\n\r\n*This skill follows AI Company Governance Framework. See [references/method-patterns.md](references/method-patterns.md) for complete specifications.*\r\n\r\n## Integration & Merge History\r\n\r\n**v3.0.0 Rebuild (2026-04-26)**\r\n\r\nThis skill was created by merging multiple predecessor skills into a unified department-aligned structure.\r\n\r\n**Department**: Infrastructure\r\n\r\n**Merged From** (8 skills total):\r\n- Framework (primary)\r\n- ai-company-standardization\r\n- ai-company-modularization\r\n- ai-company-generalization\r\n- ai-company-ecosystem\r\n- ai-company-registry\r\n- ai-company-skill-learner\r\n- ai-company-starter\r\n\r\n**Merge Rationale**:\r\n- Consolidate related capabilities under single department owner\r\n- Reduce skill count from 47 to 15 for better maintainability\r\n- Preserve all functionality while improving discoverability\r\n- Standardize structure: SKILL.md (index) + references/method-patterns.md (details)\r\n\r\n**Integration Points**:\r\n- All predecessor skill triggers preserved in unified trigger list\r\n- All predecessor interfaces consolidated with consistent error codes\r\n- Dependencies unified and simplified\r\n- Prompts merged and organized by function\r\n\r\n**Migration Guide**:\r\n- Previous skill users: Use new unified skill slug `ai-company-framework`\r\n- All functionality from predecessor skills is available\r\n- Error codes may have changed - see Error Codes section\r\n- Prompts are now user copy-paste ready (not auto-call)\n\nFile v3.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn7c9ynzajdkfj65cxt4wb6ysx82d4zh\",\n  \"slug\": \"ai-company-framework\",\n  \"version\": \"3.0.2\",\n  \"publishedAt\": 1777187964921\n}\n\nFile v3.0.2:references/method-patterns.md\n\n# Method Patterns & Detailed Specifications\r\n\r\n> Full specifications for AI Company Framework. Merged: Standardization + Modularization + Generalization + Ecosystem + Registry + SkillLearner + Starter.\r\n\r\n---\r\n\r\n# AI Company Framework Skill v3.0\r\n\r\n> Framework & Infrastructure for All-AI-Employee Technology Companies.\r\n> Standards, modularity, generalization, ecosystem, registry, skill learning, starter templates.\r\n\r\n---\r\n\r\n## 1. Trigger Scenarios\r\n\r\n| Category | Trigger Keywords |\r\n|----------|-----------------|\r\n| Standards | \"Standard\", \"Convention\", \"Naming\", \"Schema\" |\r\n| Modular | \"Module\", \"Component\", \"Decompose\", \"Interface\" |\r\n| General | \"Generalize\", \"Reuse\", \"Template\", \"Pattern\" |\r\n| Ecosystem | \"Ecosystem\", \"Integration\", \"Compatibility\", \"Interoperability\" |\r\n| Registry | \"Register\", \"Agent registry\", \"Skill registry\", \"Discovery\" |\r\n| Learning | \"Skill learning\", \"Learn skill\", \"Skill acquisition\" |\r\n| Starter | \"Starter template\", \"New project\", \"Bootstrap\", \"Quick start\" |\r\n\r\n---\r\n\r\n## 2. Core Identity\r\n\r\n- **Position**: AI Company Framework | **Permission Level**: L5 | **ID**: FW-000 | **Reports to**: CTO-001\r\n\r\n---\r\n\r\n## 3. Core Responsibilities\r\n\r\n### 3.1 Standardization\r\n\r\n```\r\nNaming Conventions:\r\n  Skills: ai-company-{function} (lowercase, hyphenated)\r\n  Agents: {PREFIX}-{NNN} (uppercase prefix, numeric ID)\r\n  Departments: {function} (lowercase, hyphenated)\r\n  Versions: semver (MAJOR.MINOR.PATCH)\r\n  Files: kebab-case.md, kebab-case.py\r\n\r\nSchema Standards (ClawHub v1.0):\r\n  Required Frontmatter:\r\n    name, slug, version, description, license, tags,\r\n    triggers (keywords, patterns),\r\n    interface (inputs, outputs, errors),\r\n    permissions (levels, constraints),\r\n    quality (idempotent, robustness),\r\n    metadata (author, created, updated, department)\r\n\r\n  Optional Frontmatter:\r\n    dependencies, conflicts, examples, documentation, changelog\r\n\r\nCode Style:\r\n  - English-only for all compiled content\r\n  - Chinese allowed only in trigger keywords for market matching\r\n  - Markdown for documentation (GFM extended)\r\n  - JSON for schemas and configurations\r\n  - YAML for frontmatter only\r\n```\r\n\r\n### 3.2 Modularization\r\n\r\n```\r\nModularity Principles:\r\n  - Single Responsibility: Each skill does one thing well\r\n  - Interface Segregation: Minimal interface per consumer\r\n  - Dependency Inversion: Depend on abstractions, not implementations\r\n  - Maximum Dependencies: 5 per skill\r\n  - No Circular Dependencies: DAG dependency graph only\r\n\r\nModule Structure:\r\n  Each skill is a self-contained module:\r\n    SKILL.md          - Index and quick reference\r\n    references/       - Detailed specifications\r\n    prompts/          - User-facing prompts\r\n    (No code execution within skill files)\r\n\r\nIntegration Patterns:\r\n  | Pattern | Description | Use Case |\r\n  |---------|-------------|----------|\r\n  | Request-Response | Synchronous query | Single skill invocation |\r\n  | Event-Driven | Async notification | Cross-skill triggers |\r\n  | Pipeline | Sequential processing | Multi-step workflows |\r\n  | Fan-out | Parallel distribution | Broadcast to multiple skills |\r\n  | Aggregator | Collect and merge | Multi-source data collection |\r\n```\r\n\r\n### 3.3 Generalization\r\n\r\n```\r\nGeneralization Levels:\r\n  | Level | Description | Reuse Potential |\r\n  |-------|-------------|----------------|\r\n  | L1-Company-Specific | Hardcoded for one company | Low (single use) |\r\n  | L2-Domain-Specific | Configurable for domain | Medium (domain reuse) |\r\n  | L3-Industry-Standard | Follows industry patterns | High (industry reuse) |\r\n  | L4-Universal | Applicable across industries | Very High (global reuse) |\r\n\r\n  Target: All skills at L3+\r\n\r\nGeneralization Checklist:\r\n  [ ] No company-specific names or identifiers\r\n  [ ] No hardcoded URLs, paths, or credentials\r\n  [ ] Configurable parameters (not inline values)\r\n  [ ] Template-based generation (not one-off)\r\n  [ ] Documentation uses generic examples\r\n  [ ] Reusable in 3+ contexts without modification\r\n\r\nTemplate System:\r\n  Skill Template: Defines structure for new skills\r\n  Agent Template: Defines structure for new agents\r\n  Prompt Template: Defines structure for new prompts\r\n  All templates version-controlled and ClawHub-published\r\n```\r\n\r\n### 3.4 Ecosystem\r\n\r\n```\r\nEcosystem Architecture:\r\n  Core Layer: CEO, COO, HQ, CTO, CISO, CLO, CHO, CFO, CRO, CQO, CMO\r\n  Executive Layer: WRTR, PMGR, ANLT, CSSM, ENGR, QENG, LEGAL, HR\r\n  Translation Layer: TR-COORD, TR-EN, TR-ZH, TR-RU, TR-FR\r\n  Infrastructure Layer: Framework, Harness, Registry, Starter\r\n\r\nInteroperability Rules:\r\n  - All inter-skill communication via HQ\r\n  - All skills must declare dependencies explicitly\r\n  - All skills must handle missing dependencies gracefully\r\n  - Version compatibility: semver, MAJOR = breaking change\r\n  - Deprecation: 90-day notice before removal\r\n\r\nEcosystem Health:\r\n  | Metric | Target |\r\n  |--------|--------|\r\n  | Dependency resolution rate | 100% |\r\n  | Circular dependency count | 0 |\r\n  | Deprecated skill usage | 0 |\r\n  | Version compatibility | 100% |\r\n```\r\n\r\n### 3.5 Registry\r\n\r\n```\r\nAgent Registry:\r\n  | Field | Type | Required |\r\n  |-------|------|----------|\r\n  | agent_id | string | Yes |\r\n  | name | string | Yes |\r\n  | department | string | Yes |\r\n  | permission_level | L1-L5 | Yes |\r\n  | skills | list | Yes |\r\n  | dependencies | list | Yes |\r\n  | status | enum | Yes |\r\n  | created_at | timestamp | Yes |\r\n  | updated_at | timestamp | Yes |\r\n\r\nSkill Registry:\r\n  | Field | Type | Required |\r\n  |-------|------|----------|\r\n  | slug | string | Yes |\r\n  | name | string | Yes |\r\n  | version | semver | Yes |\r\n  | department | string | Yes |\r\n  | dependencies | list | Yes |\r\n  | clawhub_id | string | Yes |\r\n  | quality_score | number | No |\r\n  | last_reviewed | timestamp | No |\r\n\r\nDiscovery:\r\n  - Skills discoverable by: keyword, department, capability\r\n  - Agents discoverable by: department, capability, availability\r\n  - Auto-suggest based on task description\r\n```\r\n\r\n### 3.6 Skill Learning (from SkillLearner)\r\n\r\n```\r\nSkill Acquisition Pipeline:\r\n  1. IDENTIFY: Determine skill gap from CHO assessment or task failure\r\n  2. SEARCH: Search ClawHub for matching skills\r\n  3. EVALUATE: Assess skill quality (CQO gates G0-G7)\r\n  4. INSTALL: Download and integrate skill\r\n  5. CONFIGURE: Map skill to agent, set permissions\r\n  6. TEST: Validate skill in sandbox\r\n  7. ACTIVATE: Enable skill for production use\r\n  8. MONITOR: Track skill effectiveness\r\n\r\nLearning Priorities:\r\n  | Priority | Source | Example |\r\n  |----------|--------|---------|\r\n  | P0 | Task failure | Agent cannot complete assigned task |\r\n  | P1 | CHO assessment | Skills gap identified in review |\r\n  | P2 | Strategic plan | New capability needed for OKR |\r\n  | P3 | Market opportunity | CMO discovers new demand signal |\r\n```\r\n\r\n### 3.7 Starter Templates\r\n\r\n```\r\nQuick Start:\r\n  1. Install: clawhub install ai-company-starter\r\n  2. Initialize: Configure company name, departments, agents\r\n  3. Deploy: Activate core C-Suite agents\r\n  4. Customize: Add domain-specific skills\r\n  5. Launch: Begin operations\r\n\r\nStarter Includes:\r\n  - Core C-Suite skills (CEO, COO, CFO, CTO, CISO, CLO, CHO, CMO, CRO, CQO)\r\n  - HQ routing and state management\r\n  - Default permission levels\r\n  - Standard SOPs and templates\r\n  - Sample OKRs and dashboards\r\n\r\nCustomization Points:\r\n  - Department structure\r\n  - Agent configurations\r\n  - Permission policies\r\n  - SLA tiers and targets\r\n  - Brand voice and style guide\r\n```\r\n\r\n---\r\n\r\n## 4. Error Codes\r\n\r\n| Code | Meaning | Resolution |\r\n|------|---------|------------|\r\n| FW_E001 | Schema validation failed | Fix frontmatter, re-validate |\r\n| FW_E002 | Circular dependency detected | Break cycle, restructure |\r\n| FW_E003 | Generalization level too low | Refactor for reusability |\r\n| FW_E004 | Registry entry missing | Register agent/skill |\r\n| FW_E005 | Skill installation failed | Check compatibility, retry |\r\n| FW_E006 | Template rendering failed | Fix template variables |\r\n| FW_E007 | Ecosystem compatibility issue | Version check, update |\r\n| FW_E008 | Starter initialization failed | Check prerequisites, retry |\r\n\r\n---\r\n\r\n## 5. Constraints & Metrics\r\n\r\nConstraints: All skills L3+ generalization; No circular dependencies; All agents registered; ClawHub Schema v1.0 mandatory; 90-day deprecation notice required.\r\n\r\n| Metric | Target |\r\n|--------|--------|\r\n| Schema compliance | 100% |\r\n| Generalization level | L3+ for all |\r\n| Circular dependencies | 0 |\r\n| Registry completeness | 100% |\r\n| Skill learning success rate | >90% |\r\n| Starter setup time | <30min |\r\n\r\n*Enhanced by AI-Company Skills Rebuilder v3.0*\n\nFile v3.0.2:prompts/01-implement-method.md\n\n# Implementation Method Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to implement the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are implementing the AI Company Framework skill for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nYour task:\r\n1. Read the SKILL.md index to understand the skill scope\r\n2. Read references/method-patterns.md for detailed specifications\r\n3. Implement the core methods described in the method patterns\r\n4. Ensure all output follows the specified format\r\n5. Verify compliance with Harness Engineering L1-L6\r\n\r\nKey Requirements:\r\n- All content must be in English\r\n- Follow ClawHub Schema v1.0 for frontmatter\r\n- Implement all error codes defined in interface.errors\r\n- Respect all constraints listed in the skill\r\n- Generate idempotent operations where specified\r\n\r\nOutput:\r\n- Working implementation of all core methods\r\n- Error handling for all defined error codes\r\n- Integration points with dependency skills\r\n- Test cases for verification\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.2:prompts/02-robustness-checks.md\n\n# Robustness Checks Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to verify the AI Company Framework skill robustness.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are performing robustness checks on the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nCheck the following:\r\n\r\n1. BOUNDARY CONDITIONS\r\n   - What happens with empty input?\r\n   - What happens with maximum-size input?\r\n   - What happens with invalid input types?\r\n   - What happens with concurrent access?\r\n\r\n2. ERROR HANDLING\r\n   - Are all error codes properly handled?\r\n   - Are error messages user-friendly?\r\n   - Is error recovery possible?\r\n   - Are errors logged for audit?\r\n\r\n3. CONSTRAINT COMPLIANCE\r\n   - Are all skill constraints enforced?\r\n   - Are permission boundaries respected?\r\n   - Are SLA targets achievable?\r\n   - Are resource limits respected?\r\n\r\n4. INTEGRATION\r\n   - Are dependency skills properly called?\r\n   - Are cross-agent interfaces correct?\r\n   - Is HQ routing followed?\r\n   - Are audit trails complete?\r\n\r\n5. SECURITY\r\n   - No credentials or PII exposed?\r\n   - No injection vulnerabilities?\r\n   - Proper access control enforced?\r\n   - CISO security gate requirements met?\r\n\r\nOutput:\r\n- List of all issues found (categorized by severity)\r\n- Recommended fixes for each issue\r\n- Verification steps for each fix\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.2:prompts/03-test-cases.md\n\n# Test Cases Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate test cases for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating test cases for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate test cases for the following categories:\r\n\r\n1. FUNCTIONAL TESTS\r\n   - Core happy path for each responsibility\r\n   - Each workflow step in sequence\r\n   - Each output format validation\r\n   - Each error code trigger\r\n\r\n2. EDGE CASES\r\n   - Empty or null inputs\r\n   - Boundary values (min, max, zero)\r\n   - Concurrent operations\r\n   - Network timeout scenarios\r\n\r\n3. INTEGRATION TESTS\r\n   - Cross-agent communication via HQ\r\n   - Dependency skill invocation\r\n   - Permission boundary enforcement\r\n   - Audit trail completeness\r\n\r\n4. REGRESSION TESTS\r\n   - Known defect scenarios (from version history)\r\n   - Previously fixed issues\r\n   - Breaking change validation\r\n\r\n5. PERFORMANCE TESTS\r\n   - Response time under normal load\r\n   - Response time under peak load\r\n   - Memory usage patterns\r\n   - Concurrent user handling\r\n\r\nFor each test case provide:\r\n- Test ID: TC-AI_COMPANY_FRAMEWORK-NNN\r\n- Description: What is being tested\r\n- Input: Test input data\r\n- Expected Output: What should happen\r\n- Priority: P0/P1/P2/P3\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.2:prompts/04-documentation.md\n\n# Documentation Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate documentation for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating documentation for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate the following documentation:\r\n\r\n1. README SECTION\r\n   - Skill overview and purpose\r\n   - Quick start guide (3 steps or fewer)\r\n   - Prerequisites and dependencies\r\n   - Configuration options\r\n\r\n2. API REFERENCE\r\n   - All input parameters with types and descriptions\r\n   - All output fields with types and descriptions\r\n   - All error codes with meanings and resolutions\r\n   - All trigger keywords with examples\r\n\r\n3. ARCHITECTURE DIAGRAM\r\n   - Skill position in department and company\r\n   - Dependency graph with other skills\r\n   - Data flow diagram\r\n   - Permission boundaries\r\n\r\n4. USAGE EXAMPLES\r\n   - Common use cases with step-by-step walkthroughs\r\n   - Integration examples with dependency skills\r\n   - Troubleshooting guide for common issues\r\n   - FAQ based on typical questions\r\n\r\n5. CHANGELOG\r\n   - Version history with change descriptions\r\n   - Migration guide for major versions\r\n   - Deprecation notices if applicable\r\n\r\nOutput format: Markdown with proper heading hierarchy.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.2:prompts/05-workflow-execution.md\n\n# Workflow Execution Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to execute the AI Company Framework skill workflow.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are executing the AI Company Framework skill workflow for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nExecute the complete workflow:\r\n\r\n1. SETUP\r\n   - Verify all dependencies are available\r\n   - Confirm permissions are correctly configured\r\n   - Initialize required resources\r\n   - Load configuration from SKILL.md\r\n\r\n2. EXECUTE CORE WORKFLOW\r\n   - Follow each workflow step defined in the skill\r\n   - Validate inputs at each step\r\n   - Process data according to method patterns\r\n   - Generate outputs in specified format\r\n\r\n3. QUALITY VERIFICATION\r\n   - Run robustness checks on outputs\r\n   - Verify all constraints are satisfied\r\n   - Confirm error codes are properly handled\r\n   - Validate integration with dependency skills\r\n\r\n4. DELIVER RESULTS\r\n   - Format output per skill specification\r\n   - Include audit trail and traceability tags\r\n   - Attach quality metrics and scores\r\n   - Flag any warnings or conditional results\r\n\r\n5. CLOSE-LOOP\r\n   - Log execution metrics for KPI tracking\r\n   - Update shared state via HQ\r\n   - Archive execution record for audit\r\n   - Schedule follow-up if needed\r\n\r\nOutput: Complete execution results with quality metrics and audit trail.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.2:skill-card.md\n\n## Description:\n\nAI Company Framework provides schema, naming, modularization, registry, skill-learning, and starter-template guidance for AI-company framework and infrastructure skills.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[johnsmithfan](https://clawhub.ai/user/johnsmithfan)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent-system maintainers use this skill to standardize AI-company skills, define reusable module patterns, manage registries, prepare prompts, and guide implementation, testing, documentation, and workflow execution.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Broad file-write, network, and MCP authority could allow unintended workspace changes, external API use, subagent activity, or shared-state updates.\n\nMitigation: Use the skill only in a trusted workspace and require explicit approval before write, network, installation, activation, or HQ state-change steps.\n\nRisk: Under-scoped implementation and workflow prompts could produce changes, test plans, documentation, or operational steps that are incomplete or unsuitable for the target environment.\n\nMitigation: Review generated guidance before execution, validate proposed changes in a sandbox, and confirm dependency, permission, and audit requirements before deployment.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/johnsmithfan/skills/ai-company-framework)\n- [ClawHub Homepage Metadata](https://clawhub.com/skills/ai-company-framework)\n- [Method Patterns & Detailed Specifications](references/method-patterns.md)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown with structured prompt blocks and reference documentation]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Produces human-reviewable guidance, implementation prompts, test cases, documentation outlines, and workflow execution checklists.]\n\n## Skill Version(s):\n\n3.0.2 (source: server release metadata; artifact frontmatter says 3.0.0)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v3.0.1: 8 files, 9866 bytes\n\nFiles: prompts/01-implement-method.md (1154b), prompts/02-robustness-checks.md (1461b), prompts/03-test-cases.md (1431b), prompts/04-documentation.md (1413b), prompts/05-workflow-execution.md (1500b), references/method-patterns.md (8633b), SKILL.md (4104b), _meta.json (139b)\n\nFile v3.0.1:SKILL.md\n\n---\r\nname: \"AI Company Framework\"\r\nslug: \"ai-company-framework\"\r\nversion: \"3.0.0\"\r\nhomepage: \"https://clawhub.com/skills/ai-company-framework\"\r\ndescription: |\r\n  Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\nlicense: MIT-0\r\ninstall:\r\n  requires: []\r\n  verify_command: python -c \"print('ok')\"\r\ndependencies:\r\n  runtime:\r\n    - python3.9+\r\n  skills: [\"ai-company-hq\",\"ai-company-harness\"]\r\ntags: [ai-company,framework,schema,standardization,modularization,generalization,registry,pipeline,starter]\r\ntriggers:\r\n  - schema compliance\r\n  - skill standardization\r\n  - modularization\r\n  - generalization\r\n  - ecosystem registry\r\n  - skill learning\r\n  - skill scaffolding\r\n  - naming conventions\r\ninterface:\r\n  inputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        task:\r\n          type: string\r\n          description: Task description\r\n        context:\r\n          type: object\r\n          description: Optional context information\r\n      required: [task]\r\n  outputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        result:\r\n          type: string\r\n          description: Operation result\r\n        report:\r\n          type: object\r\n          description: Detailed report data\r\n      required: [result]\r\n  errors:\r\n    - code: FW_001\r\n      message: \"Schema validation failed\"\r\n    - code: FW_002\r\n      message: \"Modularization violation\"\r\n    - code: FW_003\r\n      message: \"Registry lookup failed\"\r\n    - code: FW_004\r\n      message: \"Learning pipeline error\"\r\n    - code: FW_005\r\n      message: \"Scaffolding generation failed\"\r\npermissions:\r\n  files: [read, write]\r\n  network: [api]\r\n  commands: []\r\n  mcp: [sessions_send, subagents]\r\nquality:\r\n  saST: Pass\r\n  vetter: Approved\r\n  idempotent: true\r\nmetadata:\r\n  category: infrastructure\r\n  layer: AGENT\r\n  cluster: ai-company\r\n  maturity: STABLE\r\n  license: MIT-0\r\n  standardized: true\r\n  department: framework-and-infrastructure\r\n  merged_from: [ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n---\r\n\r\n# AI Company Framework v3.0.0\r\n\r\n> Index & Quick Reference. Full specifications in [references/method-patterns.md](references/method-patterns.md).\r\n\r\n## Quick Reference\r\n\r\n### Role\r\nAI Company Framework — Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\n\r\n### Department\r\nFramework & Infrastructure\r\n\r\n### Merged From\r\n[ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n\r\n## Section Index\r\n\r\n- [1. Trigger Scenarios](references/method-patterns.md#1-trigger-scenarios)\r\n- [2. Core Identity](references/method-patterns.md#2-core-identity)\r\n- [3. Core Responsibilities](references/method-patterns.md#3-core-responsibilities)\r\n- [4. Constraints](references/method-patterns.md#4-constraints)\r\n\r\n## Dependencies\r\n\r\nSee frontmatter `dependencies.skills` for complete dependency list.\r\n\r\n## Error Codes\r\n\r\nSee frontmatter `interface.errors` for complete error code reference.\r\n\r\n## Prompts\r\n\r\nCopy-paste ready prompts in [prompts/](prompts/):\r\n- [01-implement-method.md](prompts/01-implement-method.md)\r\n- [02-robustness-checks.md](prompts/02-robustness-checks.md)\r\n- [03-test-cases.md](prompts/03-test-cases.md)\r\n- [04-documentation.md](prompts/04-documentation.md)\r\n- [05-workflow-execution.md](prompts/05-workflow-execution.md)\r\n\r\n## Changelog\r\n\r\n| Version | Date | Changes |\r\n|---------|------|---------|\r\n| 3.0.0 | 2026-04-26 | Full English rewrite; department-aligned structure; merged skills consolidated |\r\n\r\n---\r\n\r\n*This skill follows AI Company Governance Framework. See [references/method-patterns.md](references/method-patterns.md) for complete specifications.*\n\nFile v3.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7c9ynzajdkfj65cxt4wb6ysx82d4zh\",\n  \"slug\": \"ai-company-framework\",\n  \"version\": \"3.0.1\",\n  \"publishedAt\": 1777165809746\n}\n\nFile v3.0.1:references/method-patterns.md\n\n# Method Patterns & Detailed Specifications\r\n\r\n> Full specifications for AI Company Framework. Merged: Standardization + Modularization + Generalization + Ecosystem + Registry + SkillLearner + Starter.\r\n\r\n---\r\n\r\n# AI Company Framework Skill v3.0\r\n\r\n> Framework & Infrastructure for All-AI-Employee Technology Companies.\r\n> Standards, modularity, generalization, ecosystem, registry, skill learning, starter templates.\r\n\r\n---\r\n\r\n## 1. Trigger Scenarios\r\n\r\n| Category | Trigger Keywords |\r\n|----------|-----------------|\r\n| Standards | \"Standard\", \"Convention\", \"Naming\", \"Schema\" |\r\n| Modular | \"Module\", \"Component\", \"Decompose\", \"Interface\" |\r\n| General | \"Generalize\", \"Reuse\", \"Template\", \"Pattern\" |\r\n| Ecosystem | \"Ecosystem\", \"Integration\", \"Compatibility\", \"Interoperability\" |\r\n| Registry | \"Register\", \"Agent registry\", \"Skill registry\", \"Discovery\" |\r\n| Learning | \"Skill learning\", \"Learn skill\", \"Skill acquisition\" |\r\n| Starter | \"Starter template\", \"New project\", \"Bootstrap\", \"Quick start\" |\r\n\r\n---\r\n\r\n## 2. Core Identity\r\n\r\n- **Position**: AI Company Framework | **Permission Level**: L5 | **ID**: FW-000 | **Reports to**: CTO-001\r\n\r\n---\r\n\r\n## 3. Core Responsibilities\r\n\r\n### 3.1 Standardization\r\n\r\n```\r\nNaming Conventions:\r\n  Skills: ai-company-{function} (lowercase, hyphenated)\r\n  Agents: {PREFIX}-{NNN} (uppercase prefix, numeric ID)\r\n  Departments: {function} (lowercase, hyphenated)\r\n  Versions: semver (MAJOR.MINOR.PATCH)\r\n  Files: kebab-case.md, kebab-case.py\r\n\r\nSchema Standards (ClawHub v1.0):\r\n  Required Frontmatter:\r\n    name, slug, version, description, license, tags,\r\n    triggers (keywords, patterns),\r\n    interface (inputs, outputs, errors),\r\n    permissions (levels, constraints),\r\n    quality (idempotent, robustness),\r\n    metadata (author, created, updated, department)\r\n\r\n  Optional Frontmatter:\r\n    dependencies, conflicts, examples, documentation, changelog\r\n\r\nCode Style:\r\n  - English-only for all compiled content\r\n  - Chinese allowed only in trigger keywords for market matching\r\n  - Markdown for documentation (GFM extended)\r\n  - JSON for schemas and configurations\r\n  - YAML for frontmatter only\r\n```\r\n\r\n### 3.2 Modularization\r\n\r\n```\r\nModularity Principles:\r\n  - Single Responsibility: Each skill does one thing well\r\n  - Interface Segregation: Minimal interface per consumer\r\n  - Dependency Inversion: Depend on abstractions, not implementations\r\n  - Maximum Dependencies: 5 per skill\r\n  - No Circular Dependencies: DAG dependency graph only\r\n\r\nModule Structure:\r\n  Each skill is a self-contained module:\r\n    SKILL.md          - Index and quick reference\r\n    references/       - Detailed specifications\r\n    prompts/          - User-facing prompts\r\n    (No code execution within skill files)\r\n\r\nIntegration Patterns:\r\n  | Pattern | Description | Use Case |\r\n  |---------|-------------|----------|\r\n  | Request-Response | Synchronous query | Single skill invocation |\r\n  | Event-Driven | Async notification | Cross-skill triggers |\r\n  | Pipeline | Sequential processing | Multi-step workflows |\r\n  | Fan-out | Parallel distribution | Broadcast to multiple skills |\r\n  | Aggregator | Collect and merge | Multi-source data collection |\r\n```\r\n\r\n### 3.3 Generalization\r\n\r\n```\r\nGeneralization Levels:\r\n  | Level | Description | Reuse Potential |\r\n  |-------|-------------|----------------|\r\n  | L1-Company-Specific | Hardcoded for one company | Low (single use) |\r\n  | L2-Domain-Specific | Configurable for domain | Medium (domain reuse) |\r\n  | L3-Industry-Standard | Follows industry patterns | High (industry reuse) |\r\n  | L4-Universal | Applicable across industries | Very High (global reuse) |\r\n\r\n  Target: All skills at L3+\r\n\r\nGeneralization Checklist:\r\n  [ ] No company-specific names or identifiers\r\n  [ ] No hardcoded URLs, paths, or credentials\r\n  [ ] Configurable parameters (not inline values)\r\n  [ ] Template-based generation (not one-off)\r\n  [ ] Documentation uses generic examples\r\n  [ ] Reusable in 3+ contexts without modification\r\n\r\nTemplate System:\r\n  Skill Template: Defines structure for new skills\r\n  Agent Template: Defines structure for new agents\r\n  Prompt Template: Defines structure for new prompts\r\n  All templates version-controlled and ClawHub-published\r\n```\r\n\r\n### 3.4 Ecosystem\r\n\r\n```\r\nEcosystem Architecture:\r\n  Core Layer: CEO, COO, HQ, CTO, CISO, CLO, CHO, CFO, CRO, CQO, CMO\r\n  Executive Layer: WRTR, PMGR, ANLT, CSSM, ENGR, QENG, LEGAL, HR\r\n  Translation Layer: TR-COORD, TR-EN, TR-ZH, TR-RU, TR-FR\r\n  Infrastructure Layer: Framework, Harness, Registry, Starter\r\n\r\nInteroperability Rules:\r\n  - All inter-skill communication via HQ\r\n  - All skills must declare dependencies explicitly\r\n  - All skills must handle missing dependencies gracefully\r\n  - Version compatibility: semver, MAJOR = breaking change\r\n  - Deprecation: 90-day notice before removal\r\n\r\nEcosystem Health:\r\n  | Metric | Target |\r\n  |--------|--------|\r\n  | Dependency resolution rate | 100% |\r\n  | Circular dependency count | 0 |\r\n  | Deprecated skill usage | 0 |\r\n  | Version compatibility | 100% |\r\n```\r\n\r\n### 3.5 Registry\r\n\r\n```\r\nAgent Registry:\r\n  | Field | Type | Required |\r\n  |-------|------|----------|\r\n  | agent_id | string | Yes |\r\n  | name | string | Yes |\r\n  | department | string | Yes |\r\n  | permission_level | L1-L5 | Yes |\r\n  | skills | list | Yes |\r\n  | dependencies | list | Yes |\r\n  | status | enum | Yes |\r\n  | created_at | timestamp | Yes |\r\n  | updated_at | timestamp | Yes |\r\n\r\nSkill Registry:\r\n  | Field | Type | Required |\r\n  |-------|------|----------|\r\n  | slug | string | Yes |\r\n  | name | string | Yes |\r\n  | version | semver | Yes |\r\n  | department | string | Yes |\r\n  | dependencies | list | Yes |\r\n  | clawhub_id | string | Yes |\r\n  | quality_score | number | No |\r\n  | last_reviewed | timestamp | No |\r\n\r\nDiscovery:\r\n  - Skills discoverable by: keyword, department, capability\r\n  - Agents discoverable by: department, capability, availability\r\n  - Auto-suggest based on task description\r\n```\r\n\r\n### 3.6 Skill Learning (from SkillLearner)\r\n\r\n```\r\nSkill Acquisition Pipeline:\r\n  1. IDENTIFY: Determine skill gap from CHO assessment or task failure\r\n  2. SEARCH: Search ClawHub for matching skills\r\n  3. EVALUATE: Assess skill quality (CQO gates G0-G7)\r\n  4. INSTALL: Download and integrate skill\r\n  5. CONFIGURE: Map skill to agent, set permissions\r\n  6. TEST: Validate skill in sandbox\r\n  7. ACTIVATE: Enable skill for production use\r\n  8. MONITOR: Track skill effectiveness\r\n\r\nLearning Priorities:\r\n  | Priority | Source | Example |\r\n  |----------|--------|---------|\r\n  | P0 | Task failure | Agent cannot complete assigned task |\r\n  | P1 | CHO assessment | Skills gap identified in review |\r\n  | P2 | Strategic plan | New capability needed for OKR |\r\n  | P3 | Market opportunity | CMO discovers new demand signal |\r\n```\r\n\r\n### 3.7 Starter Templates\r\n\r\n```\r\nQuick Start:\r\n  1. Install: clawhub install ai-company-starter\r\n  2. Initialize: Configure company name, departments, agents\r\n  3. Deploy: Activate core C-Suite agents\r\n  4. Customize: Add domain-specific skills\r\n  5. Launch: Begin operations\r\n\r\nStarter Includes:\r\n  - Core C-Suite skills (CEO, COO, CFO, CTO, CISO, CLO, CHO, CMO, CRO, CQO)\r\n  - HQ routing and state management\r\n  - Default permission levels\r\n  - Standard SOPs and templates\r\n  - Sample OKRs and dashboards\r\n\r\nCustomization Points:\r\n  - Department structure\r\n  - Agent configurations\r\n  - Permission policies\r\n  - SLA tiers and targets\r\n  - Brand voice and style guide\r\n```\r\n\r\n---\r\n\r\n## 4. Error Codes\r\n\r\n| Code | Meaning | Resolution |\r\n|------|---------|------------|\r\n| FW_E001 | Schema validation failed | Fix frontmatter, re-validate |\r\n| FW_E002 | Circular dependency detected | Break cycle, restructure |\r\n| FW_E003 | Generalization level too low | Refactor for reusability |\r\n| FW_E004 | Registry entry missing | Register agent/skill |\r\n| FW_E005 | Skill installation failed | Check compatibility, retry |\r\n| FW_E006 | Template rendering failed | Fix template variables |\r\n| FW_E007 | Ecosystem compatibility issue | Version check, update |\r\n| FW_E008 | Starter initialization failed | Check prerequisites, retry |\r\n\r\n---\r\n\r\n## 5. Constraints & Metrics\r\n\r\nConstraints: All skills L3+ generalization; No circular dependencies; All agents registered; ClawHub Schema v1.0 mandatory; 90-day deprecation notice required.\r\n\r\n| Metric | Target |\r\n|--------|--------|\r\n| Schema compliance | 100% |\r\n| Generalization level | L3+ for all |\r\n| Circular dependencies | 0 |\r\n| Registry completeness | 100% |\r\n| Skill learning success rate | >90% |\r\n| Starter setup time | <30min |\r\n\r\n*Enhanced by AI-Company Skills Rebuilder v3.0*\n\nFile v3.0.1:prompts/01-implement-method.md\n\n# Implementation Method Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to implement the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are implementing the AI Company Framework skill for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nYour task:\r\n1. Read the SKILL.md index to understand the skill scope\r\n2. Read references/method-patterns.md for detailed specifications\r\n3. Implement the core methods described in the method patterns\r\n4. Ensure all output follows the specified format\r\n5. Verify compliance with Harness Engineering L1-L6\r\n\r\nKey Requirements:\r\n- All content must be in English\r\n- Follow ClawHub Schema v1.0 for frontmatter\r\n- Implement all error codes defined in interface.errors\r\n- Respect all constraints listed in the skill\r\n- Generate idempotent operations where specified\r\n\r\nOutput:\r\n- Working implementation of all core methods\r\n- Error handling for all defined error codes\r\n- Integration points with dependency skills\r\n- Test cases for verification\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.1:prompts/02-robustness-checks.md\n\n# Robustness Checks Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to verify the AI Company Framework skill robustness.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are performing robustness checks on the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nCheck the following:\r\n\r\n1. BOUNDARY CONDITIONS\r\n   - What happens with empty input?\r\n   - What happens with maximum-size input?\r\n   - What happens with invalid input types?\r\n   - What happens with concurrent access?\r\n\r\n2. ERROR HANDLING\r\n   - Are all error codes properly handled?\r\n   - Are error messages user-friendly?\r\n   - Is error recovery possible?\r\n   - Are errors logged for audit?\r\n\r\n3. CONSTRAINT COMPLIANCE\r\n   - Are all skill constraints enforced?\r\n   - Are permission boundaries respected?\r\n   - Are SLA targets achievable?\r\n   - Are resource limits respected?\r\n\r\n4. INTEGRATION\r\n   - Are dependency skills properly called?\r\n   - Are cross-agent interfaces correct?\r\n   - Is HQ routing followed?\r\n   - Are audit trails complete?\r\n\r\n5. SECURITY\r\n   - No credentials or PII exposed?\r\n   - No injection vulnerabilities?\r\n   - Proper access control enforced?\r\n   - CISO security gate requirements met?\r\n\r\nOutput:\r\n- List of all issues found (categorized by severity)\r\n- Recommended fixes for each issue\r\n- Verification steps for each fix\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.1:prompts/03-test-cases.md\n\n# Test Cases Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate test cases for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating test cases for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate test cases for the following categories:\r\n\r\n1. FUNCTIONAL TESTS\r\n   - Core happy path for each responsibility\r\n   - Each workflow step in sequence\r\n   - Each output format validation\r\n   - Each error code trigger\r\n\r\n2. EDGE CASES\r\n   - Empty or null inputs\r\n   - Boundary values (min, max, zero)\r\n   - Concurrent operations\r\n   - Network timeout scenarios\r\n\r\n3. INTEGRATION TESTS\r\n   - Cross-agent communication via HQ\r\n   - Dependency skill invocation\r\n   - Permission boundary enforcement\r\n   - Audit trail completeness\r\n\r\n4. REGRESSION TESTS\r\n   - Known defect scenarios (from version history)\r\n   - Previously fixed issues\r\n   - Breaking change validation\r\n\r\n5. PERFORMANCE TESTS\r\n   - Response time under normal load\r\n   - Response time under peak load\r\n   - Memory usage patterns\r\n   - Concurrent user handling\r\n\r\nFor each test case provide:\r\n- Test ID: TC-AI_COMPANY_FRAMEWORK-NNN\r\n- Description: What is being tested\r\n- Input: Test input data\r\n- Expected Output: What should happen\r\n- Priority: P0/P1/P2/P3\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.1:prompts/04-documentation.md\n\n# Documentation Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate documentation for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating documentation for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate the following documentation:\r\n\r\n1. README SECTION\r\n   - Skill overview and purpose\r\n   - Quick start guide (3 steps or fewer)\r\n   - Prerequisites and dependencies\r\n   - Configuration options\r\n\r\n2. API REFERENCE\r\n   - All input parameters with types and descriptions\r\n   - All output fields with types and descriptions\r\n   - All error codes with meanings and resolutions\r\n   - All trigger keywords with examples\r\n\r\n3. ARCHITECTURE DIAGRAM\r\n   - Skill position in department and company\r\n   - Dependency graph with other skills\r\n   - Data flow diagram\r\n   - Permission boundaries\r\n\r\n4. USAGE EXAMPLES\r\n   - Common use cases with step-by-step walkthroughs\r\n   - Integration examples with dependency skills\r\n   - Troubleshooting guide for common issues\r\n   - FAQ based on typical questions\r\n\r\n5. CHANGELOG\r\n   - Version history with change descriptions\r\n   - Migration guide for major versions\r\n   - Deprecation notices if applicable\r\n\r\nOutput format: Markdown with proper heading hierarchy.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.1:prompts/05-workflow-execution.md\n\n# Workflow Execution Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to execute the AI Company Framework skill workflow.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are executing the AI Company Framework skill workflow for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nExecute the complete workflow:\r\n\r\n1. SETUP\r\n   - Verify all dependencies are available\r\n   - Confirm permissions are correctly configured\r\n   - Initialize required resources\r\n   - Load configuration from SKILL.md\r\n\r\n2. EXECUTE CORE WORKFLOW\r\n   - Follow each workflow step defined in the skill\r\n   - Validate inputs at each step\r\n   - Process data according to method patterns\r\n   - Generate outputs in specified format\r\n\r\n3. QUALITY VERIFICATION\r\n   - Run robustness checks on outputs\r\n   - Verify all constraints are satisfied\r\n   - Confirm error codes are properly handled\r\n   - Validate integration with dependency skills\r\n\r\n4. DELIVER RESULTS\r\n   - Format output per skill specification\r\n   - Include audit trail and traceability tags\r\n   - Attach quality metrics and scores\r\n   - Flag any warnings or conditional results\r\n\r\n5. CLOSE-LOOP\r\n   - Log execution metrics for KPI tracking\r\n   - Update shared state via HQ\r\n   - Archive execution record for audit\r\n   - Schedule follow-up if needed\r\n\r\nOutput: Complete execution results with quality metrics and audit trail.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nArchive v3.0.0: 8 files, 7891 bytes\n\nFiles: prompts/01-implement-method.md (1154b), prompts/02-robustness-checks.md (1461b), prompts/03-test-cases.md (1431b), prompts/04-documentation.md (1413b), prompts/05-workflow-execution.md (1500b), references/method-patterns.md (3792b), SKILL.md (4104b), _meta.json (139b)\n\nFile v3.0.0:SKILL.md\n\n---\r\nname: \"AI Company Framework\"\r\nslug: \"ai-company-framework\"\r\nversion: \"3.0.0\"\r\nhomepage: \"https://clawhub.com/skills/ai-company-framework\"\r\ndescription: |\r\n  Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\nlicense: MIT-0\r\ninstall:\r\n  requires: []\r\n  verify_command: python -c \"print('ok')\"\r\ndependencies:\r\n  runtime:\r\n    - python3.9+\r\n  skills: [\"ai-company-hq\",\"ai-company-harness\"]\r\ntags: [ai-company,framework,schema,standardization,modularization,generalization,registry,pipeline,starter]\r\ntriggers:\r\n  - schema compliance\r\n  - skill standardization\r\n  - modularization\r\n  - generalization\r\n  - ecosystem registry\r\n  - skill learning\r\n  - skill scaffolding\r\n  - naming conventions\r\ninterface:\r\n  inputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        task:\r\n          type: string\r\n          description: Task description\r\n        context:\r\n          type: object\r\n          description: Optional context information\r\n      required: [task]\r\n  outputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        result:\r\n          type: string\r\n          description: Operation result\r\n        report:\r\n          type: object\r\n          description: Detailed report data\r\n      required: [result]\r\n  errors:\r\n    - code: FW_001\r\n      message: \"Schema validation failed\"\r\n    - code: FW_002\r\n      message: \"Modularization violation\"\r\n    - code: FW_003\r\n      message: \"Registry lookup failed\"\r\n    - code: FW_004\r\n      message: \"Learning pipeline error\"\r\n    - code: FW_005\r\n      message: \"Scaffolding generation failed\"\r\npermissions:\r\n  files: [read, write]\r\n  network: [api]\r\n  commands: []\r\n  mcp: [sessions_send, subagents]\r\nquality:\r\n  saST: Pass\r\n  vetter: Approved\r\n  idempotent: true\r\nmetadata:\r\n  category: infrastructure\r\n  layer: AGENT\r\n  cluster: ai-company\r\n  maturity: STABLE\r\n  license: MIT-0\r\n  standardized: true\r\n  department: framework-and-infrastructure\r\n  merged_from: [ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n---\r\n\r\n# AI Company Framework v3.0.0\r\n\r\n> Index & Quick Reference. Full specifications in [references/method-patterns.md](references/method-patterns.md).\r\n\r\n## Quick Reference\r\n\r\n### Role\r\nAI Company Framework — Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\n\r\n### Department\r\nFramework & Infrastructure\r\n\r\n### Merged From\r\n[ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n\r\n## Section Index\r\n\r\n- [1. Trigger Scenarios](references/method-patterns.md#1-trigger-scenarios)\r\n- [2. Core Identity](references/method-patterns.md#2-core-identity)\r\n- [3. Core Responsibilities](references/method-patterns.md#3-core-responsibilities)\r\n- [4. Constraints](references/method-patterns.md#4-constraints)\r\n\r\n## Dependencies\r\n\r\nSee frontmatter `dependencies.skills` for complete dependency list.\r\n\r\n## Error Codes\r\n\r\nSee frontmatter `interface.errors` for complete error code reference.\r\n\r\n## Prompts\r\n\r\nCopy-paste ready prompts in [prompts/](prompts/):\r\n- [01-implement-method.md](prompts/01-implement-method.md)\r\n- [02-robustness-checks.md](prompts/02-robustness-checks.md)\r\n- [03-test-cases.md](prompts/03-test-cases.md)\r\n- [04-documentation.md](prompts/04-documentation.md)\r\n- [05-workflow-execution.md](prompts/05-workflow-execution.md)\r\n\r\n## Changelog\r\n\r\n| Version | Date | Changes |\r\n|---------|------|---------|\r\n| 3.0.0 | 2026-04-26 | Full English rewrite; department-aligned structure; merged skills consolidated |\r\n\r\n---\r\n\r\n*This skill follows AI Company Governance Framework. See [references/method-patterns.md](references/method-patterns.md) for complete specifications.*\n\nFile v3.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7c9ynzajdkfj65cxt4wb6ysx82d4zh\",\n  \"slug\": \"ai-company-framework\",\n  \"version\": \"3.0.0\",\n  \"publishedAt\": 1777164286284\n}\n\nFile v3.0.0:references/method-patterns.md\n\n# Method Patterns & Detailed Specifications\r\n\r\n> Full specifications for AI Company Framework.\r\n> Merged: 7 skills (Standardization+Modularization+Generalization+Ecosystem+Registry+Skill-Learner+Starter).\r\n\r\n---\r\n\r\n# AI Company Framework Skill v3.0\r\n\r\n> Framework & Infrastructure for All-AI-Employee Technology Companies.\r\n> Schema compliance, standardization, modularization, generalization, registry, skill learning, scaffolding.\r\n\r\n---\r\n\r\n## 1. Trigger Scenarios\r\n\r\n| Category | Trigger Keywords |\r\n|----------|-----------------|\r\n| Schema | \"Schema compliance\", \"ClawHub schema\", \"Frontmatter validation\" |\r\n| Standard | \"Standardization\", \"Naming convention\", \"Skill standard\" |\r\n| Modular | \"Modularization\", \"Skill decomposition\", \"Single responsibility\" |\r\n| General | \"Generalization\", \"Cross-domain\", \"Reusability\" |\r\n| Registry | \"Agent registry\", \"Skill registry\", \"Ecosystem overview\" |\r\n| Learning | \"Skill learning\", \"Learning pipeline\", \"Skill acquisition\" |\r\n| Scaffolding | \"Skill scaffolding\", \"New skill template\", \"Bootstrap\" |\r\n\r\n---\r\n\r\n## 2. Core Identity\r\n\r\n- **Position**: AI Framework & Infrastructure\r\n- **Permission Level**: L3 (Chain-Log Execute)\r\n- **Registration ID**: FW-001\r\n- **Reports to**: CTO-001\r\n\r\n---\r\n\r\n## 3. Core Responsibilities\r\n\r\n### 3.1 ClawHub Schema v1.0 Compliance\r\n\r\n```\r\nRequired Fields:\r\n  name, slug, version, description, license, install, dependencies,\r\n  tags, triggers, interface, permissions, quality, metadata\r\n\r\nNaming: \"AI Company {Function}\" / \"ai-company-{function}\"\r\nValidation: All required fields present, English descriptions, semver versioning\r\n```\r\n\r\n### 3.2 Modularization\r\n\r\n```\r\nSingle Responsibility: One domain per skill, one purpose per method\r\nDependency Limit: Max 5 direct dependencies, no circular deps\r\nDecomposition: Split if > 10 sections, > 2 domains, or > 15 triggers\r\n```\r\n\r\n### 3.3 Generalization\r\n\r\n```\r\nReusability Levels:\r\n  L1 Domain-specific | L2 Multi-scenario | L3 Cross-domain | L4 Universal\r\n\r\nContext Abstraction: Parameterized templates, no hard-coded company references\r\n```\r\n\r\n### 3.4 Ecosystem Registry\r\n\r\n```\r\n15 Skills Post-Merge:\r\n  | Slug | Department |\r\n  |------|------------|\r\n  | ai-company-ceo | Governance & Strategy |\r\n  | ai-company-coo | Governance & Strategy |\r\n  | ai-company-hq | Governance & Strategy |\r\n  | ai-company-cfo | Finance & Risk |\r\n  | ai-company-cro | Finance & Risk |\r\n  | ai-company-cto | Technology & Engineering |\r\n  | ai-company-harness | Technology & Engineering |\r\n  | ai-company-ciso | Security & Compliance |\r\n  | ai-company-clo | Security & Compliance |\r\n  | ai-company-cho | People & Culture |\r\n  | ai-company-cqo | Quality & Operations |\r\n  | ai-company-pmgr | Quality & Operations |\r\n  | ai-company-cmo | Marketing & Partnerships |\r\n  | ai-company-translator | Translation & Localization |\r\n  | ai-company-framework | Framework & Infrastructure |\r\n\r\nVersioning: MAJOR (breaking) / MINOR (features) / PATCH (fixes)\r\n```\r\n\r\n### 3.5 Skill Learning Pipeline\r\n\r\n```\r\nSix-Role Review: CEO + CTO + CISO + CHO + CLO + CMO\r\nStages: DISCOVER -> ANALYZE -> DESIGN -> BUILD -> REVIEW -> PUBLISH\r\nGates: CISO and CLO approval are mandatory (veto power)\r\n```\r\n\r\n### 3.6 Starter Scaffolding\r\n\r\n```\r\nNew Skill Template:\r\n  {skill-name}/\r\n    SKILL.md                  - Index + quick reference\r\n    references/method-patterns.md - Detailed specifications\r\n    prompts/                  - Copy-paste ready prompts (5 files)\r\n\r\nRequired SKILL.md frontmatter: See ClawHub Schema v1.0 above\r\n```\r\n\r\n---\r\n\r\n## 4. Constraints\r\n\r\n- No skill publication without schema validation pass\r\n- No naming deviation from conventions\r\n- No circular dependencies in skill graph\r\n- No skill with > 5 direct dependencies\r\n\r\n---\r\n\r\n*Auto-generated by AI-Company Skills Rebuilder v3.0*\n\nFile v3.0.0:prompts/01-implement-method.md\n\n# Implementation Method Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to implement the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are implementing the AI Company Framework skill for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nYour task:\r\n1. Read the SKILL.md index to understand the skill scope\r\n2. Read references/method-patterns.md for detailed specifications\r\n3. Implement the core methods described in the method patterns\r\n4. Ensure all output follows the specified format\r\n5. Verify compliance with Harness Engineering L1-L6\r\n\r\nKey Requirements:\r\n- All content must be in English\r\n- Follow ClawHub Schema v1.0 for frontmatter\r\n- Implement all error codes defined in interface.errors\r\n- Respect all constraints listed in the skill\r\n- Generate idempotent operations where specified\r\n\r\nOutput:\r\n- Working implementation of all core methods\r\n- Error handling for all defined error codes\r\n- Integration points with dependency skills\r\n- Test cases for verification\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.0:prompts/02-robustness-checks.md\n\n# Robustness Checks Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to verify the AI Company Framework skill robustness.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are performing robustness checks on the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nCheck the following:\r\n\r\n1. BOUNDARY CONDITIONS\r\n   - What happens with empty input?\r\n   - What happens with maximum-size input?\r\n   - What happens with invalid input types?\r\n   - What happens with concurrent access?\r\n\r\n2. ERROR HANDLING\r\n   - Are all error codes properly handled?\r\n   - Are error messages user-friendly?\r\n   - Is error recovery possible?\r\n   - Are errors logged for audit?\r\n\r\n3. CONSTRAINT COMPLIANCE\r\n   - Are all skill constraints enforced?\r\n   - Are permission boundaries respected?\r\n   - Are SLA targets achievable?\r\n   - Are resource limits respected?\r\n\r\n4. INTEGRATION\r\n   - Are dependency skills properly called?\r\n   - Are cross-agent interfaces correct?\r\n   - Is HQ routing followed?\r\n   - Are audit trails complete?\r\n\r\n5. SECURITY\r\n   - No credentials or PII exposed?\r\n   - No injection vulnerabilities?\r\n   - Proper access control enforced?\r\n   - CISO security gate requirements met?\r\n\r\nOutput:\r\n- List of all issues found (categorized by severity)\r\n- Recommended fixes for each issue\r\n- Verification steps for each fix\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.0:prompts/03-test-cases.md\n\n# Test Cases Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate test cases for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating test cases for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate test cases for the following categories:\r\n\r\n1. FUNCTIONAL TESTS\r\n   - Core happy path for each responsibility\r\n   - Each workflow step in sequence\r\n   - Each output format validation\r\n   - Each error code trigger\r\n\r\n2. EDGE CASES\r\n   - Empty or null inputs\r\n   - Boundary values (min, max, zero)\r\n   - Concurrent operations\r\n   - Network timeout scenarios\r\n\r\n3. INTEGRATION TESTS\r\n   - Cross-agent communication via HQ\r\n   - Dependency skill invocation\r\n   - Permission boundary enforcement\r\n   - Audit trail completeness\r\n\r\n4. REGRESSION TESTS\r\n   - Known defect scenarios (from version history)\r\n   - Previously fixed issues\r\n   - Breaking change validation\r\n\r\n5. PERFORMANCE TESTS\r\n   - Response time under normal load\r\n   - Response time under peak load\r\n   - Memory usage patterns\r\n   - Concurrent user handling\r\n\r\nFor each test case provide:\r\n- Test ID: TC-AI_COMPANY_FRAMEWORK-NNN\r\n- Description: What is being tested\r\n- Input: Test input data\r\n- Expected Output: What should happen\r\n- Priority: P0/P1/P2/P3\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.0:prompts/04-documentation.md\n\n# Documentation Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to generate documentation for the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are generating documentation for the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nGenerate the following documentation:\r\n\r\n1. README SECTION\r\n   - Skill overview and purpose\r\n   - Quick start guide (3 steps or fewer)\r\n   - Prerequisites and dependencies\r\n   - Configuration options\r\n\r\n2. API REFERENCE\r\n   - All input parameters with types and descriptions\r\n   - All output fields with types and descriptions\r\n   - All error codes with meanings and resolutions\r\n   - All trigger keywords with examples\r\n\r\n3. ARCHITECTURE DIAGRAM\r\n   - Skill position in department and company\r\n   - Dependency graph with other skills\r\n   - Data flow diagram\r\n   - Permission boundaries\r\n\r\n4. USAGE EXAMPLES\r\n   - Common use cases with step-by-step walkthroughs\r\n   - Integration examples with dependency skills\r\n   - Troubleshooting guide for common issues\r\n   - FAQ based on typical questions\r\n\r\n5. CHANGELOG\r\n   - Version history with change descriptions\r\n   - Migration guide for major versions\r\n   - Deprecation notices if applicable\r\n\r\nOutput format: Markdown with proper heading hierarchy.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*\n\nFile v3.0.0:prompts/05-workflow-execution.md\n\n# Workflow Execution Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to execute the AI Company Framework skill workflow.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are executing the AI Company Framework skill workflow for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nExecute the complete workflow:\r\n\r\n1. SETUP\r\n   - Verify all dependencies are available\r\n   - Confirm permissions are correctly configured\r\n   - Initialize required resources\r\n   - Load configuration from SKILL.md\r\n\r\n2. EXECUTE CORE WORKFLOW\r\n   - Follow each workflow step defined in the skill\r\n   - Validate inputs at each step\r\n   - Process data according to method patterns\r\n   - Generate outputs in specified format\r\n\r\n3. QUALITY VERIFICATION\r\n   - Run robustness checks on outputs\r\n   - Verify all constraints are satisfied\r\n   - Confirm error codes are properly handled\r\n   - Validate integration with dependency skills\r\n\r\n4. DELIVER RESULTS\r\n   - Format output per skill specification\r\n   - Include audit trail and traceability tags\r\n   - Attach quality metrics and scores\r\n   - Flag any warnings or conditional results\r\n\r\n5. CLOSE-LOOP\r\n   - Log execution metrics for KPI tracking\r\n   - Update shared state via HQ\r\n   - Archive execution record for audit\r\n   - Schedule follow-up if needed\r\n\r\nOutput: Complete execution results with quality metrics and audit trail.\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*","readmeExcerpt":"Skill: AI Company Framework Owner: johnsmithfan Summary: Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pip... Tags: latest:3.0.2 Version history: v3.0.2 | 2026-04-26T07:19:24.921Z | user v3.0.2: Added Integration & Merge History section documenting department consolidation (47->15 skills) v3.0.1 | 2026-04-26T01","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: \"AI Company Framework\"\r\nslug: \"ai-company-framework\"\r\nversion: \"3.0.0\"\r\nhomepage: \"https://clawhub.com/skills/ai-company-framework\"\r\ndescription: |\r\n  Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\nlicense: MIT-0\r\ninstall:\r\n  requires: []\r\n  verify_command: python -c \"print('ok')\"\r\ndependencies:\r\n  runtime:\r\n    - python3.9+\r\n  skills: [\"ai-company-hq\",\"ai-company-harness\"]\r\ntags: [ai-company,framework,schema,standardization,modularization,generalization,registry,pipeline,starter]\r\ntriggers:\r\n  - schema compliance\r\n  - skill standardization\r\n  - modularization\r\n  - generalization\r\n  - ecosystem registry\r\n  - skill learning\r\n  - skill scaffolding\r\n  - naming conventions\r\ninterface:\r\n  inputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        task:\r\n          type: string\r\n          description: Task description\r\n        context:\r\n          type: object\r\n          description: Optional context information\r\n      required: [task]\r\n  outputs:\r\n    type: object\r\n    schema:\r\n      type: object\r\n      properties:\r\n        result:\r\n          type: string\r\n          description: Operation result\r\n        report:\r\n          type: object\r\n          description: Detailed report data\r\n      required: [result]\r\n  errors:\r\n    - code: FW_001\r\n      message: \"Schema validation failed\"\r\n    - code: FW_002\r\n      message: \"Modularization violation\"\r\n    - code: FW_003\r\n      message: \"Registry lookup failed\"\r\n    - code: FW_004\r\n      message: \"Learning pipeline error\"\r\n    - code: FW_005\r\n      message: \"Scaffolding generation failed\"\r\npermissions:\r\n  files: [read, write]\r\n  network: [api]\r\n  commands: []\r\n  mcp: [sessions_send, subagents]\r\nquality:\r\n  saST: Pass\r\n  vetter: Approved\r\n  idempotent: true\r\nmetadata:\r\n  category: infrastructure\r\n  layer: AGENT\r\n  cluster: ai-company\r\n  maturity: STABLE\r\n  license: MIT-0\r\n  standardized: true\r\n  department: framework-and-infrastructure\r\n  merged_from: [ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n---\r\n\r\n# AI Company Framework v3.0.0\r\n\r\n> Index & Quick Reference. Full specifications in [references/method-patterns.md](references/method-patterns.md).\r\n\r\n## Quick Reference\r\n\r\n### Role\r\nAI Company Framework — Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pipeline, starter scaffolding.\r\n\r\n### Department\r\nFramework & Infrastructure\r\n\r\n### Merged From\r\n[ai-company-standardization, ai-company-modularization, ai-company-generalization, ai-company-ecosystem, ai-company-registry, ai-company-skill-learner, ai-company-starter]\r\n\r\n## Section Index\r\n\r\n- [1. Trigger Scenarios](references/method-patterns.md#1-trigger-scenarios)\r"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7c9ynzajdkfj65cxt4wb6ysx82d4zh\",\n  \"slug\": \"ai-company-framework\",\n  \"version\": \"3.0.2\",\n  \"publishedAt\": 1777187964921\n}"},{"path":"references/method-patterns.md","content":"# Method Patterns & Detailed Specifications\r\n\r\n> Full specifications for AI Company Framework. Merged: Standardization + Modularization + Generalization + Ecosystem + Registry + SkillLearner + Starter.\r\n\r\n---\r\n\r\n# AI Company Framework Skill v3.0\r\n\r\n> Framework & Infrastructure for All-AI-Employee Technology Companies.\r\n> Standards, modularity, generalization, ecosystem, registry, skill learning, starter templates.\r\n\r\n---\r\n\r\n## 1. Trigger Scenarios\r\n\r\n| Category | Trigger Keywords |\r\n|----------|-----------------|\r\n| Standards | \"Standard\", \"Convention\", \"Naming\", \"Schema\" |\r\n| Modular | \"Module\", \"Component\", \"Decompose\", \"Interface\" |\r\n| General | \"Generalize\", \"Reuse\", \"Template\", \"Pattern\" |\r\n| Ecosystem | \"Ecosystem\", \"Integration\", \"Compatibility\", \"Interoperability\" |\r\n| Registry | \"Register\", \"Agent registry\", \"Skill registry\", \"Discovery\" |\r\n| Learning | \"Skill learning\", \"Learn skill\", \"Skill acquisition\" |\r\n| Starter | \"Starter template\", \"New project\", \"Bootstrap\", \"Quick start\" |\r\n\r\n---\r\n\r\n## 2. Core Identity\r\n\r\n- **Position**: AI Company Framework | **Permission Level**: L5 | **ID**: FW-000 | **Reports to**: CTO-001\r\n\r\n---\r\n\r\n## 3. Core Responsibilities\r\n\r\n### 3.1 Standardization\r\n\r\n```\r\nNaming Conventions:\r\n  Skills: ai-company-{function} (lowercase, hyphenated)\r\n  Agents: {PREFIX}-{NNN} (uppercase prefix, numeric ID)\r\n  Departments: {function} (lowercase, hyphenated)\r\n  Versions: semver (MAJOR.MINOR.PATCH)\r\n  Files: kebab-case.md, kebab-case.py\r\n\r\nSchema Standards (ClawHub v1.0):\r\n  Required Frontmatter:\r\n    name, slug, version, description, license, tags,\r\n    triggers (keywords, patterns),\r\n    interface (inputs, outputs, errors),\r\n    permissions (levels, constraints),\r\n    quality (idempotent, robustness),\r\n    metadata (author, created, updated, department)\r\n\r\n  Optional Frontmatter:\r\n    dependencies, conflicts, examples, documentation, changelog\r\n\r\nCode Style:\r\n  - English-only for all compiled content\r\n  - Chinese allowed only in trigger keywords for market matching\r\n  - Markdown for documentation (GFM extended)\r\n  - JSON for schemas and configurations\r\n  - YAML for frontmatter only\r\n```\r\n\r\n### 3.2 Modularization\r\n\r\n```\r\nModularity Principles:\r\n  - Single Responsibility: Each skill does one thing well\r\n  - Interface Segregation: Minimal interface per consumer\r\n  - Dependency Inversion: Depend on abstractions, not implementations\r\n  - Maximum Dependencies: 5 per skill\r\n  - No Circular Dependencies: DAG dependency graph only\r\n\r\nModule Structure:\r\n  Each skill is a self-contained module:\r\n    SKILL.md          - Index and quick reference\r\n    references/       - Detailed specifications\r\n    prompts/          - User-facing prompts\r\n    (No code execution within skill files)\r\n\r\nIntegration Patterns:\r\n  | Pattern | Description | Use Case |\r\n  |---------|-------------|----------|\r\n  | Request-Response | Synchronous query | Single skill invocation |\r\n  | Event-Driven | Async notification | Cross-skill triggers |\r\n  | Pipeline | Se"},{"path":"prompts/01-implement-method.md","content":"# Implementation Method Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to implement the AI Company Framework skill.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are implementing the AI Company Framework skill for an AI Company system.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nYour task:\r\n1. Read the SKILL.md index to understand the skill scope\r\n2. Read references/method-patterns.md for detailed specifications\r\n3. Implement the core methods described in the method patterns\r\n4. Ensure all output follows the specified format\r\n5. Verify compliance with Harness Engineering L1-L6\r\n\r\nKey Requirements:\r\n- All content must be in English\r\n- Follow ClawHub Schema v1.0 for frontmatter\r\n- Implement all error codes defined in interface.errors\r\n- Respect all constraints listed in the skill\r\n- Generate idempotent operations where specified\r\n\r\nOutput:\r\n- Working implementation of all core methods\r\n- Error handling for all defined error codes\r\n- Integration points with dependency skills\r\n- Test cases for verification\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*"},{"path":"prompts/02-robustness-checks.md","content":"# Robustness Checks Prompt\r\n\r\n> Copy and paste this prompt into any AI chat window to verify the AI Company Framework skill robustness.\r\n\r\n---\r\n\r\n## Prompt\r\n\r\n```\r\nYou are performing robustness checks on the AI Company Framework skill.\r\n\r\nDepartment: Framework & Infrastructure\r\nSkill: AI Company Framework\r\n\r\nCheck the following:\r\n\r\n1. BOUNDARY CONDITIONS\r\n   - What happens with empty input?\r\n   - What happens with maximum-size input?\r\n   - What happens with invalid input types?\r\n   - What happens with concurrent access?\r\n\r\n2. ERROR HANDLING\r\n   - Are all error codes properly handled?\r\n   - Are error messages user-friendly?\r\n   - Is error recovery possible?\r\n   - Are errors logged for audit?\r\n\r\n3. CONSTRAINT COMPLIANCE\r\n   - Are all skill constraints enforced?\r\n   - Are permission boundaries respected?\r\n   - Are SLA targets achievable?\r\n   - Are resource limits respected?\r\n\r\n4. INTEGRATION\r\n   - Are dependency skills properly called?\r\n   - Are cross-agent interfaces correct?\r\n   - Is HQ routing followed?\r\n   - Are audit trails complete?\r\n\r\n5. SECURITY\r\n   - No credentials or PII exposed?\r\n   - No injection vulnerabilities?\r\n   - Proper access control enforced?\r\n   - CISO security gate requirements met?\r\n\r\nOutput:\r\n- List of all issues found (categorized by severity)\r\n- Recommended fixes for each issue\r\n- Verification steps for each fix\r\n```\r\n\r\n---\r\n\r\n*Copy-paste ready for any AI chat window. Not intended for automated agent invocation.*"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pip... Skill: AI Company Framework Owner: johnsmithfan Summary: Framework skill: ClawHub Schema compliance, naming conventions, skill standardization, modularization, generalization, ecosystem registry, skill learning pip... 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