field-harvest
SolidScans git history of field projects to detect patterns worth backporting to the meta-harness (Mode A), and logs session work to the knowledge hub when a session ends (Mode B). Triggers on "save this pattern", "make this reusable across projects", "can we automate this repetition?", "push this to FH", "reverse absorption", "harvest pattern", "session log", "log today's work", "sync to hub".
Install
Quality Score: 79/100
Skill Content
Details
- Author
- chrono-meta
- Repository
- chrono-meta/forge-harness
- Created
- 2 months ago
- Last Updated
- today
- Language
- Shell
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
harvest-loop
An 8-step self-evolution pipeline that runs after field sessions end (field-harvest → contention-layer → challenger + persona-innovator → synthesizer → Critic agent → harness-doctor → verify-bidirectional → curator), absorbing session learnings back into the FH ecosystem. Runs automatically at session end in the main dev environment; proposes execution first for external users. Triggered by "session harvest", "learning absorption", "fh evolution", or "harvest-loop". (The phrase "run the pipeline" is ceded to pipeline-conductor — use that for end-to-end verification sweeps.)
harvest
Mines Claude Code session transcripts for the corrections that earn artifacts, the intake stage of the kitchen's loop. Extracts what the user actually said across recent sessions (via a bundled script that reduces multi-MB transcripts to user turns), dispatches readers to classify corrections, redirects, and repeated failures, dedups against the standing harness, and hands surviving candidates to the forge with evidence counts. Use on a cadence (end of a heavy week, after a project push), when a correction feels familiar, or before claiming a harness has no gaps; skip when recent sessions were light or single-topic.
dialogue-harvest
Mines improvement insights from long-form AI dialogue logs and long texts — an external or pasted corpus, not the current session (current-session wrap-up belongs to harvest-loop). First operation is sycophancy removal — separates speakers, strips the counterpart's agreement/restatement spans, converts the user's own utterances into falsifiable propositions, and labels each proposition induced (frame first introduced by the counterpart) or independent (originated with the user). Ships a drop counter so removed material is visible, never silently lost. Triggered by "mine insights from this chat log", "이 대화록에서 통찰 캐줘", "strip the agreement and show me what's actually mine", "동조 걷어내고 알맹이만", "what did I actually contribute in this thread".