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Interviews the user, analyzes their workflow, then creates specialized agents with distinct personalities, adaptive model routing (Fast/Think/Deep/Strategic), weekly learning metrics, visual architecture docs, and inter-agent coordination. USE WHEN: user wants to create an agent team/council, build specialized AI personas, set up multi-agent workflows, 'build me a team of agents', 'create agents for my workflow', 'set up an agent council', 'I want specialized AI assistants', 'build me a crew'. DON'T USE WHEN: user wants a single skill (use skill-creator), wants to install existing skills (use clawhub), or wants to chat with existing agents (just route to them).\"\n---\n\n# Council Builder\n\nBuild a team of specialized AI agent personas tailored to the user's actual needs. Each agent gets a distinct personality, self-improvement capability, and clear coordination rules.\n\n## Workflow\n\n### Phase 1: Discovery\n\nInterview the user to understand their world. Ask in batches of 2-3 questions max.\n\n**Round 1 - Identity:**\n- What do you do? (profession, main activities, industry)\n- What tools and platforms do you use daily?\n\n**Round 2 - Pain Points:**\n- What tasks eat most of your time?\n- Where do you feel you need the most help?\n\n**Round 3 - Preferences:**\n- What language(s) do you work in? (for agent communication style)\n- Any specific domains you want covered? (coding, content, finance, research, scheduling, etc.)\n\n**Optional - History Analysis:**\nIf the user has existing OpenClaw history, scan it for patterns:\n- Check `memory/` files for recurring tasks\n- Check existing workspace structure for active projects\n- Check installed skills for current capabilities\n\nDo NOT proceed to Phase 2 until confident you understand the user's needs. Ask follow-up questions if anything is unclear.\n\n### Phase 2: Planning\n\nBased on discovery, design the council:\n\n1. **Determine agent count**: 3-7 agents. Fewer is better. Each agent must earn its existence.\n2. **Define each agent**: Name, role, specialties, personality angle\n3. **Map coordination**: Which agents feed data to which\n4. **Present the plan** to the user in a clear table:\n\n```\n| Agent | Role | Specialties | Personality |\n|-------|------|-------------|-------------|\n| [Name] | [One-line role] | [Key areas] | [Personality angle] |\n```\n\n5. **Get explicit approval** before building. Allow adjustments.\n\n**Naming agents:**\n- Give them memorable, short names (not generic like \"Agent 1\")\n- Names should hint at their role but feel like characters\n- Can be inspired by any theme the user likes, or choose strong standalone names\n- See `references/example-councils.md` for naming patterns and complete council examples across different industries\n\n### Phase 3: Building\n\nRun the initialization script first to create the directory skeleton:\n```bash\n./scripts/init-council.sh <workspace-path> <agent-name-1> <agent-name-2> ...\n```\n\nThen, for each approved agent, populate the files. Read `references/soul-philosophy.md` before writing any SOUL.md.\n\n**Directory structure per agent:**\n```\nagents/[agent-name]/\n├── SOUL.md           # Personality, role, rules (see soul-philosophy.md)\n├── AGENTS.md         # Agent-specific coordination rules\n├── memory/           # Agent's memory directory\n├── .learnings/       # Self-improvement logs\n│   ├── LEARNINGS.md\n│   ├── ERRORS.md\n│   └── FEATURE_REQUESTS.md\n└── [workspace dirs]  # Role-specific output directories\n```\n\n**For each agent's SOUL.md:**\n1. Read `references/soul-philosophy.md` for the writing guide\n2. Read `assets/SOUL-TEMPLATE.md` for the structure\n3. Customize deeply for this agent's role and personality\n4. Every SOUL must be unique. No copy-paste between agents.\n\n**For each agent's AGENTS.md:**\n1. Use `assets/AGENT-AGENTS-TEMPLATE.md` as base\n2. Define what this agent reads from and writes to\n3. Define handoff rules with other agents\n\n**For .learnings/ files:**\n1. Copy structure from `assets/LEARNINGS-TEMPLATE.md`\n2. Initialize empty log files\n\n**For the root AGENTS.md:**\n1. Use `assets/ROOT-AGENTS-TEMPLATE.md` as base\n2. Create the routing table for all agents\n3. Define file coordination map\n4. Set up enforcement rules\n5. Add adaptive model routing thresholds (Fast, Think, Deep, Strategic)\n\n### Phase 4: Adaptive Routing Setup\n\nRead `references/adaptive-routing.md`.\n\nSet up an adaptive routing section in root AGENTS.md:\n- Default to Fast\n- Escalation thresholds for Think, Deep, Strategic\n- De-escalation rule back to Fast after heavy reasoning\n- High-tier model rate-limit fallback behavior\n\nAlso create visual architecture doc:\n- `docs/architecture/ADAPTIVE-ROUTING-LEARNING.md` using `assets/ADAPTIVE-ROUTING-LEARNING-TEMPLATE.md`\n\n### Phase 5: Self-Improvement Setup\n\nRead `references/self-improvement.md` for the complete system.\n\nEach agent gets built-in self-improvement:\n- `.learnings/` directory with proper templates\n- Detection triggers in SOUL.md (corrections, errors, gaps)\n- Promotion rules (learning → SOUL.md / AGENTS.md / TOOLS.md)\n- Cross-agent learning sharing via `shared/learnings/CROSS-AGENT.md`\n- Periodic review instructions\n- Weekly learning metrics file at `memory/learning-metrics.json` (use `assets/LEARNING-METRICS-TEMPLATE.json`)\n\n### Phase 6: Verification\n\nAfter building everything:\n1. List all created files for the user\n2. Show the routing table\n3. Show the coordination map\n4. Confirm everything is in place\n\n### Phase 7: Expansion (On-Demand)\n\nWhen the user asks to add, modify, or remove agents:\n\n**Adding an agent:**\n1. Mini-discovery: What does this agent need to do?\n2. Create full agent structure (same as Phase 3)\n3. Update root AGENTS.md routing table\n4. Update coordination map\n\n**Modifying an agent:**\n1. Read the current SOUL.md\n2. Apply changes while preserving personality consistency\n3. Update related coordination rules if needed\n\n**Removing an agent:**\n1. Ask for confirmation\n2. Reassign the agent's responsibilities to other agents\n3. Update routing table and coordination map\n4. Move agent files to trash (never delete)\n\n## Key Principles\n\n1. **Each agent is a character, not a template.** Different personality, different voice, different strengths. 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