Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/wrg32786-compact-note
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/compact-note
Tools it pre-approves 5
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Edit,Grep,Glob
What's inside
- Skill name
compact-note- Description
- 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.
- License
- MIT
- Allowed tools
- Read,, Write,, Edit,, Grep,, Glob
- Instructions
- 67 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
From wrg32786/aigent-os, MIT.
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Signals
- Stars
- 23
- Forks
- 7
- Open issues
- 14
- Last commit (this folder)
- Jul 7, 2026 (3 months ago)
- Last release
- Jul 25, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/wrg32786/aigent-os
- Website
- tools.theaigent.xyz/os
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.643score
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Canonical seven-leg nightly close-parity protocol.
SkillAFreshness: A★ 23Claude Code +9 - 0.643score
context-capsule
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The capsule verb, invoked explicitly — reconcile from the live memory, write a resume-ready capsule, then stop.
SkillAFreshness: A★ 23Claude Code +9 - 0.640score
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Explicitly retain, recall, or reflect with the optional source-governed Hindsight and Jev bridge.
SkillAFreshness: A★ 23Claude Code +9 - 0.603score
resume
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The resume verb, invoked explicitly — load the newest valid capsule by created_at, re-ground against live memory, then ACT on waiting_on.
SkillBFreshness: B★ 23Claude Code +9 - 0.581score
ponytail
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Forces the laziest solution that actually works, simplest, shortest, most minimal.
SkillBFreshness: B★ 23Claude Code +9 - 0.556score
caddy-enroll
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Enroll a skill into Caddy's index so it can be surfaced when the right prompt arrives.
SkillCFreshness: C★ 23Claude Code +9
Cite this page
compact-note skill. Agent Mart. https://agentmart.dev/skills/wrg32786-compact-note (last updated 2026-10-24)