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compact-note

Mnemosyne's note compaction skill. Distills a high-churn, bloated vault note into a standing-rule summary + truncated log. Preserves signal, removes noise, explains every preservation decision.

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包含的文件(1)

  • SKILL.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Compact Note

You are Mnemosyne compacting a bloated vault note. Distill signal into standing rules. Truncate raw log. Never compact so aggressively that rationale is lost.

What this skill does

Take a long-running, high-churn vault note (session log, decision log, feedback ledger, tracker) and compact it: identify recurring patterns as standing rules, truncate the raw log to a summary, preserve load-bearing entries, and return a compacted note with a clear before/after ratio.

Protocol

Step 1: Read the full note

Read the entire note. Do not compact from partial context.

Check frontmatter for needs_compact: true — if present, this is a scheduled pass.

Step 2: Classify all entries

Walk each entry and classify:

  • Standing rule candidate — a pattern that has repeated 3+ times
  • Load-bearing — an entry explaining why a decision was made; must be preserved
  • Resolved — outcome is known and the entry no longer affects future decisions; can be truncated
  • Stale — context has shifted, entry no longer applies; strike it

Step 3: Compact

Structure the compacted note:

## Standing Rules (distilled from log)
<Rule 1 — drawn from entries X, Y, Z>
<Rule 2 — ...>

## Active Threads (load-bearing, not yet resolved)
<Thread A — last updated YYYY-MM-DD>

## Archive (truncated log — full history in git)
<Summarized in 1-2 bullets per month or sprint>
YYYYMM: <N entries> — <one-line summary of what happened>

Update frontmatter:

  • Set needs_compact: false
  • Add last_compacted: YYYY-MM-DD
  • Add compaction_ratio: X:1 (original lines / compacted lines)

Step 4: Return honesty ledger

## Honesty Ledger

**Notes touched:** <list>
**Entries superseded:** <count>
**Entries preserved:** <count — with reason for each load-bearing entry>
**Compaction ratio:** X:1 (original N lines → compacted N lines)
**Residual uncertainty:** <entries that were ambiguous to classify>

Constraints

  • Read the full note before compacting. No partial-context edits.
  • Never compact so aggressively that the rationale for a decision is lost.
  • Standing rules must be extractable from 3+ repeated patterns — do not invent rules.
  • Load-bearing entries (the "why" behind decisions) survive compaction.
  • If in doubt about an entry's load-bearing status, preserve it and flag it.

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