dialogue-harvest

Solid

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".

AI & Automation 14 stars 1 forks Updated today MIT

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Skill Content

# dialogue-harvest Extracts the load-bearing propositions from a long AI-human dialogue (or long text) after removing the counterpart's sycophancy. Fills the gap between FH's loading assets (corpus-grounding-expander, video-ingest) and its mining assets (frontier-digest = feed items, field-harvest = git history, harvest-loop = session records): none of those mines an *argument-shaped* corpus, and a naive summarizer run on an AI dialogue returns "the user made several excellent points" — worthless, because most of the volume is agreement. **Why the first operation is sycophancy removal**: AI dialogue logs are dominated by agreement and restatement. Without stripping them first, extraction inflates the user's contribution; without provenance labeling (Step 4), "my insight" and "a frame the counterpart planted" are indistinguishable — which is exactly the failure this skill exists to prevent. ## Triggers - "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" / "이 대화에서 내 몫이 뭐였지" - "turn this dialogue into propositions" / "이 대담 명제로 정리해줘" - `/dialogue-harvest {path or pasted log}` **Boundary**: wrapping up the *current session* → `harvest-loop`; this skill mines an external/pasted dialogue corpus. ## Step 0. Input Acquisition 1. **Path provided** → Read the file. 2. **Pasted log** → use as-is. 3. **No speaker structure detectable** (no turn markers, no n...

Details

Author
chrono-meta
Repository
chrono-meta/forge-harness
Created
3 months ago
Last Updated
today
Language
Shell
License
MIT

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