Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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Capture durable session learnings, stage for human promotion to 05-knowledge/lizard, and propose skill/CLAUDE.md patches. Triggered by /harvest, SessionEnd hook staging, or nightly enhance. Never writes durable knowledge without your approval.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Adapted from dwarves-kit harvest hook + vault lizard pipeline. Prevents tacit knowledge dying in the transcript.
/harvest — manual end-of-session/harvest promote — curate staging → lizard drafts (uses harvest-curator)stop hook (.cursor/hooks/harvest-stager.sh)Scan the current session for:
Append to 04-projects/harness/harvest/staging-<YYYY-MM-DD>.md:
## <HH:MM> — <trigger>
- type: correction|fact|process|skill-gap
- source: <file or "session">
- text: <one paragraph max>
- proposed_home: <path or "new lizard note">
Dedup: skip if same fact already in staging today or in 05-knowledge.
/harvest promote)Spawn harvest-curator (Sonnet). It writes /tmp/harvest-curate-<date>.md.
Lead (Opus) presents to the user:
05-knowledge/lizard/YYYY-MM-DD-<slug>.mdOnly after approval: write durable files. Update 05-knowledge/lizard/index.md.
One line to 01-daily/journal/<today>.md:
Harvest: <n> staged, <m> promoted, <k> folded
/memory-hygiene monthly for environment-dependent facts in ~/.claude/.../memory/.If you want harvest to run unattended, schedule a job that invokes the skills in this order. There is nothing to install first, since COG ships no hooks.
/memory-hygiene
/harvest promote # only if the staging file is non-empty
/content-factory # only if scheduled
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Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
中文简介正在准备中。当前显示原文说明。
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
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Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.
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Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
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Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing
中文简介正在准备中。当前显示原文说明。
Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
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