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skill: offline-mine pi session JSONL logs into reusable, verified knowledge (skills, memory, docs)","maintainers":[{"name":"mbotond","email":"botond.molnar@blackbelt.hu"},{"name":"mrbence","email":"dbence10@gmail.com"},{"name":"robertcsakany","email":"robert.csakany@blackbelt.hu"},{"name":"norbert.herczeg","email":"norbert.herczeg@blackbelt.hu"}],"readme":"# @blackbelt-technology/pi-dashboard-distill-session-knowledge\n\nA pi skill that offline-mines your pi session JSONL logs into reusable, verified\nknowledge — routing distilled patterns into `skill_manage`, `memory`, and\n`docs`. It loads by natural-language trigger (\"mine my sessions\", \"distill\nsession knowledge\") in any pi session.\n\nThe skill is a thin wrapper over the deterministic engine\n[`@blackbelt-technology/pi-dashboard-session-distiller`](https://www.npmjs.com/package/@blackbelt-technology/pi-dashboard-session-distiller),\ndeclared here as a runtime dependency and invoked through its\n`distill-session-knowledge` bin.\n\n## Install\n\nAdd the package to a pi project so its skill is discovered:\n\n```bash\nnpm install @blackbelt-technology/pi-dashboard-distill-session-knowledge\n```\n\nThen, in a pi session, say \"mine my sessions\" or \"distill session knowledge\".\n\n## What it does\n\nWalks sessions newer than a watermark, extracts five objective-anchored signal\nclasses (faults, `ask_user` decisions, corrections, procedures, docs), promotes\nonly patterns recurring across `>= N` sessions, and presents a routing plan for\nreview. It is **dry-run by default** — nothing is written until you review and\napply. See the engine package for the algorithm and privacy details.\n\n## License\n\nMIT\n","readmeFilename":"README.md"}