{"id":"4a9dcf31-3984-49ca-b3df-c14037829a3f","entityType":"agent","slug":"clawhub-heldinhow-super-proactive","name":"Super Proactive V2","canonicalUrl":"https://www.xpersona.co/agent/clawhub-heldinhow-super-proactive","canonicalPath":"/agent/clawhub-heldinhow-super-proactive","generatedAt":"2026-10-10T10:42:50.141Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T07:16:57.762Z","emptyReason":null},"description":"Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... Skill: Super Proactive V2 Owner: heldinhow Summary: Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... 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outdated ratings and verbose sections were removed.\n- No functional or code changes—documentation update only.\n\nv1.0.0 | 2026-02-15T02:04:49.797Z | auto\n\nSuper Proactive Agent v1.0.0 — Initial unified release combining top memory and proactive agent skills.\n\n- Merges 11 top-rated agent skills into a single proactive + memory architecture.\n- Introduces a three-tier memory system: episodic, semantic, and procedural.\n- Adds Write-Ahead Logging (WAL) with immediate decision logging to SESSION-STATE.md.\n- Provides an autonomous cron system for scheduled research, summarization, and queue checks.\n- Implements a task queue with clear states: Ready, In Progress, Done, Blocked.\n- Offers setup instructions, best practices, and usage examples for easy onboarding.\n\nArchive index:\n\nArchive v1.0.1: 2 files, 2069 bytes\n\nFiles: _meta.json (134b), SKILL.md (3580b)\n\nFile v1.0.1:SKILL.md\n\n# Super Proactive Agent\n\n**The ultimate proactive + memory system for AI agents.** Combines the best of 11 top-rated skills into one unified architecture.\n\n---\n\n## Why This Skill?\n\nMost AI agents just wait for prompts. This skill transforms your agent into a proactive partner that:\n- Anticipates needs without being asked\n- Remembers everything important\n- Runs background tasks autonomously\n- Gets better over time\n\n---\n\n## Architecture Overview\n\n```\nworkspace/\n+-- MEMORY.md              # Long-term memory (curated learnings)\n+-- SESSION-STATE.md       # Working buffer (HOT - survives flush)\n+-- memory/\n|   +-- YYYY-MM-DD.md     # Daily logs (episodic)\n+-- QUEUE.md              # Task queue (Ready/In Progress/Done)\n+-- skills/               # Procedural memory\n```\n\n---\n\n## Core Features\n\n### 1. WAL Protocol (Write-Ahead Logging)\n\nThe agent writes critical details to SESSION-STATE.md BEFORE responding. Every decision, correction, and important detail is logged immediately.\n\n```bash\n# Example: Log a decision\necho \"$(date) - Decision: Using model for generation\" >> SESSION-STATE.md\n```\n\n### 2. Three-Tier Memory System\n\n- **Episodic** (memory/YYYY-MM-DD.md) - What happened today\n- **Semantic** (MEMORY.md) - What I know (long-term)\n- **Procedural** (skills/) - How to do things\n\n### 3. Autonomous Crons\n\nRun background tasks without prompting:\n- Every 30min: Check queue, health, memory\n- Every 4h: Research topic, update insights\n- Daily 18h: Summary, cleanup\n\n### 4. Working Buffer\n\nSESSION-STATE.md survives context flush. Always read/write this file for:\n- Current project context\n- Pending decisions\n- Active tasks\n\n### 5. Task Queue\n\nQUEUE.md with states:\n- **Ready** - Tasks to do\n- **In Progress** - Currently working\n- **Done** - Completed\n- **Blocked** - Waiting\n\n---\n\n## Quick Setup\n\n### 1. File Structure\nCreate these files in your workspace:\n```bash\nmkdir -p memory/$(date +%Y-%m-%d)\ntouch SESSION-STATE.md QUEUE.md\n```\n\n### 2. Update HEARTBEAT.md\n```markdown\n## Every Heartbeat (~30 min)\n- [ ] Check QUEUE.md for Ready tasks\n- [ ] Process queue if In Progress empty\n- [ ] Verify services\n\n## Every 4 Hours\n- [ ] Research topic\n- [ ] Update memory\n\n## Daily (18:00 UTC)\n- [ ] Summary, cleanup\n```\n\n### 3. Memory First\nALWAYS search memory before answering.\n\n---\n\n## Usage Examples\n\n### Checking Queue\n```bash\n# Read current queue\ncat QUEUE.md\n```\n\n### Adding Task\n```markdown\n## Ready\n- Research topic\n```\n\n### Logging Decision\n```bash\necho \"$(date) - Decision: Updated configuration\" >> SESSION-STATE.md\n```\n\n---\n\n## Best Practices\n\n1. **Write immediately** - If important, log NOW\n2. **Search before answering** - Never guess, search memory\n3. **Use sessions** - Keep SESSION-STATE.md for working context\n4. **Curate MEMORY.md** - Review daily logs weekly, keep insights\n5. **Be proactive** - Anticipate needs, dont just wait\n\n---\n\n## Merged From\n\n| Skill | Rating | Best For |\n|-------|--------|----------|\n| elite-longterm-memory | 3.617 | Memory architecture |\n| proactive-agent | 3.520 | WAL + Autonomous Crons |\n| memory-setup | 3.536 | Configuration |\n| memory-hygiene | 3.530 | Cleanup |\n| agent-autonomy-kit | 3.483 | Task queue |\n| agent-memory | 3.490 | Agent memory |\n| neural-memory | 3.481 | Neural patterns |\n| cognitive-memory | - | Human-like memory |\n| proactive-solvr | 3.437 | Problem solving |\n| proactive-tasks | 3.379 | Goals to Tasks |\n| memory-manager | - | Management |\n\n---\n\n## Author\n\n**Super Proactive** - Merged skill by Clawdinho\nBased on 11 top-rated OpenClaw skills\n\n---\n\n## Version\n\n**v1.0.0** - Initial merged release\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn74nrx32v4n0423jptzg1v5kx80ssnf\",\n  \"slug\": \"super-proactive\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1771121242664\n}\n\nArchive v1.0.0: 2 files, 2326 bytes\n\nFiles: _meta.json (134b), SKILL.md (4168b)\n\nFile v1.0.0:SKILL.md\n\n# Super Proactive Agent\n\n**The ultimate proactive + memory system for AI agents.** Combines the best of 11 top-rated skills into one unified architecture.\n\n**Rating:** 3.8+ (merged from elite-longterm-memory, proactive-agent, agent-autonomy-kit)\n\n---\n\n## Why This Skill?\n\nMost AI agents just wait for prompts. This skill transforms your agent into a proactive partner that:\n- Anticipates needs without being asked\n- Remembers everything important\n- Runs background tasks autonomously\n- Gets better over time\n\n---\n\n## Architecture Overview\n\n```\nworkspace/\n├── MEMORY.md              # Long-term memory (curated learnings)\n├── SESSION-STATE.md       # Working buffer (HOT - survives flush)\n├── memory/\n│   └── YYYY-MM-DD.md     # Daily logs (episodic)\n├── QUEUE.md              # Task queue (Ready/In Progress/Done)\n└── skills/               # Procedural memory\n```\n\n---\n\n## Core Features\n\n### 1. WAL Protocol (Write-Ahead Logging)\n**From: proactive-agent v3.1.0**\n\nThe agent writes critical details to SESSION-STATE.md BEFORE responding. Every decision, correction, and important detail is logged immediately.\n\n```bash\n# Example: Log a decision\necho \"$(date) - Decision: Using MiniMax-M2 model for generation\" >> SESSION-STATE.md\n```\n\n### 2. Three-Tier Memory System\n**From: elite-longterm-memory + memory-manager + cognitive-memory**\n\n- **Episodic** (memory/YYYY-MM-DD.md) - What happened today\n- **Semantic** (MEMORY.md) - What I know (long-term)\n- **Procedural** (skills/) - How to do things\n\n### 3. Autonomous Crons\n**From: proactive-agent v3.1.0**\n\nRun background tasks without prompting:\n- Every 30min: Check queue, health, memory\n- Every 4h: Research topic, update insights\n- Daily 18h: Summary, cleanup\n\n### 4. Working Buffer\n**From: proactive-agent**\n\nSESSION-STATE.md survives context flush. Always read/write this file for:\n- Current project context\n- Pending decisions\n- Active tasks\n\n### 5. Task Queue\n**From: agent-autonomy-kit + proactive-tasks**\n\nQUEUE.md with states:\n- **Ready** - Tasks to do\n- **In Progress** - Currently working\n- **Done** - Completed\n- **Blocked** - Waiting\n\n---\n\n## Quick Setup\n\n### 1. File Structure\nCreate these files in your workspace:\n```bash\nmkdir -p memory/$(date +%Y-%m-%d)\ntouch SESSION-STATE.md QUEUE.md\n```\n\n### 2. Update HEARTBEAT.md\n```markdown\n## Every Heartbeat (~30 min)\n- [ ] Check QUEUE.md for Ready tasks\n- [ ] Process queue if In Progress empty\n- [ ] Verify services\n\n## Every 4 Hours\n- [ ] Research topic\n- [ ] Update memory\n\n## Daily (18:00 UTC)\n- [ ] Summary, cleanup\n```\n\n### 3. Memory First\nALWAYS search memory before answering:\n```\nmemory_search query=\"what was we working on\"\n```\n\n---\n\n## Usage Examples\n\n### Checking Queue\n```bash\n# Read current queue\ncat QUEUE.md\n```\n\n### Adding Task\n```markdown\n## Ready\n- Research MiniMax API pricing\n```\n\n### Logging Decision\n```bash\necho \"$(date) - Decision: API key updated to production\" >> SESSION-STATE.md\n```\n\n---\n\n## Best Practices\n\n1. **Write immediately** - If important, log NOW\n2. **Search before answering** - Never guess, search memory\n3. **Use sessions** - Keep SESSION-STATE.md for working context\n4. **Curate MEMORY.md** - Review daily logs weekly, keep insights\n5. **Be proactive** - Anticipate needs, don't just wait\n\n---\n\n## Cron Jobs (Optional)\n\nAdd to OpenClaw gateway:\n```json\n{\n  \"name\": \"research\",\n  \"schedule\": \"0 */4 * * *\",\n  \"task\": \"Research topic, save to memory\"\n}\n```\n\n---\n\n## Merged From\n\n| Skill | Rating | Best For |\n|-------|--------|----------|\n| elite-longterm-memory | 3.617 | Memory architecture |\n| proactive-agent | 3.520 | WAL + Autonomous Crons |\n| memory-setup | 3.536 | Configuration |\n| memory-hygiene | 3.530 | Cleanup |\n| agent-autonomy-kit | 3.483 | Task queue |\n| agent-memory | 3.490 | Agent memory |\n| neural-memory | 3.481 | Neural patterns |\n| cognitive-memory | - | Human-like memory |\n| proactive-solvr | 3.437 | Problem solving |\n| proactive-tasks | 3.379 | Goals→Tasks |\n| memory-manager | - | Management |\n\n---\n\n## Author\n\n**Super Proactive** - Merged skill by Clawdinho\nBased on 11 top-rated OpenClaw skills\n\n---\n\n## Version\n\n**v1.0.0** - Initial merged release\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn74nrx32v4n0423jptzg1v5kx80ssnf\",\n  \"slug\": \"super-proactive\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1771121089797\n}","readmeExcerpt":"Skill: Super Proactive V2 Owner: heldinhow Summary: Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... Tags: latest:1.0.1 Version history: v1.0.1 | 2026-02-15T02:07:22.664Z | auto - Documentation in SKILL.md was streamlined for clarity and consistency. - File structure section reformatted for improved readabi","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"workspace/\n+-- MEMORY.md              # Long-term memory (curated learnings)\n+-- SESSION-STATE.md       # Working buffer (HOT - survives flush)\n+-- memory/\n|   +-- YYYY-MM-DD.md     # Daily logs (episodic)\n+-- QUEUE.md              # Task queue (Ready/In Progress/Done)\n+-- skills/               # Procedural memory"},{"language":"bash","snippet":"# Example: Log a decision\necho \"$(date) - Decision: Using model for generation\" >> SESSION-STATE.md"},{"language":"bash","snippet":"mkdir -p memory/$(date +%Y-%m-%d)\ntouch SESSION-STATE.md QUEUE.md"},{"language":"markdown","snippet":"## Every Heartbeat (~30 min)\n- [ ] Check QUEUE.md for Ready tasks\n- [ ] Process queue if In Progress empty\n- [ ] Verify services\n\n## Every 4 Hours\n- [ ] Research topic\n- [ ] Update memory\n\n## Daily (18:00 UTC)\n- [ ] Summary, cleanup"},{"language":"bash","snippet":"# Read current queue\ncat QUEUE.md"},{"language":"markdown","snippet":"## Ready\n- Research topic"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"# Super Proactive Agent\n\n**The ultimate proactive + memory system for AI agents.** Combines the best of 11 top-rated skills into one unified architecture.\n\n---\n\n## Why This Skill?\n\nMost AI agents just wait for prompts. This skill transforms your agent into a proactive partner that:\n- Anticipates needs without being asked\n- Remembers everything important\n- Runs background tasks autonomously\n- Gets better over time\n\n---\n\n## Architecture Overview\n\n```\nworkspace/\n+-- MEMORY.md              # Long-term memory (curated learnings)\n+-- SESSION-STATE.md       # Working buffer (HOT - survives flush)\n+-- memory/\n|   +-- YYYY-MM-DD.md     # Daily logs (episodic)\n+-- QUEUE.md              # Task queue (Ready/In Progress/Done)\n+-- skills/               # Procedural memory\n```\n\n---\n\n## Core Features\n\n### 1. WAL Protocol (Write-Ahead Logging)\n\nThe agent writes critical details to SESSION-STATE.md BEFORE responding. Every decision, correction, and important detail is logged immediately.\n\n```bash\n# Example: Log a decision\necho \"$(date) - Decision: Using model for generation\" >> SESSION-STATE.md\n```\n\n### 2. Three-Tier Memory System\n\n- **Episodic** (memory/YYYY-MM-DD.md) - What happened today\n- **Semantic** (MEMORY.md) - What I know (long-term)\n- **Procedural** (skills/) - How to do things\n\n### 3. Autonomous Crons\n\nRun background tasks without prompting:\n- Every 30min: Check queue, health, memory\n- Every 4h: Research topic, update insights\n- Daily 18h: Summary, cleanup\n\n### 4. Working Buffer\n\nSESSION-STATE.md survives context flush. Always read/write this file for:\n- Current project context\n- Pending decisions\n- Active tasks\n\n### 5. Task Queue\n\nQUEUE.md with states:\n- **Ready** - Tasks to do\n- **In Progress** - Currently working\n- **Done** - Completed\n- **Blocked** - Waiting\n\n---\n\n## Quick Setup\n\n### 1. File Structure\nCreate these files in your workspace:\n```bash\nmkdir -p memory/$(date +%Y-%m-%d)\ntouch SESSION-STATE.md QUEUE.md\n```\n\n### 2. Update HEARTBEAT.md\n```markdown\n## Every Heartbeat (~30 min)\n- [ ] Check QUEUE.md for Ready tasks\n- [ ] Process queue if In Progress empty\n- [ ] Verify services\n\n## Every 4 Hours\n- [ ] Research topic\n- [ ] Update memory\n\n## Daily (18:00 UTC)\n- [ ] Summary, cleanup\n```\n\n### 3. Memory First\nALWAYS search memory before answering.\n\n---\n\n## Usage Examples\n\n### Checking Queue\n```bash\n# Read current queue\ncat QUEUE.md\n```\n\n### Adding Task\n```markdown\n## Ready\n- Research topic\n```\n\n### Logging Decision\n```bash\necho \"$(date) - Decision: Updated configuration\" >> SESSION-STATE.md\n```\n\n---\n\n## Best Practices\n\n1. **Write immediately** - If important, log NOW\n2. **Search before answering** - Never guess, search memory\n3. **Use sessions** - Keep SESSION-STATE.md for working context\n4. **Curate MEMORY.md** - Review daily logs weekly, keep insights\n5. **Be proactive** - Anticipate needs, dont just wait\n\n---\n\n## Merged From\n\n| Skill | Rating | Best For |\n|-------|--------|----------|\n| elite-longterm-memory | 3.617 | Memory architecture |\n| proact"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn74nrx32v4n0423jptzg1v5kx80ssnf\",\n  \"slug\": \"super-proactive\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1771121242664\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... Skill: Super Proactive V2 Owner: heldinhow Summary: Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... 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