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Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making changes.

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  • SKILL.md3.3 KB
  • .skill_id24 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Memory Review

Goal

Review the user's memory landscape and produce a clear report of proposed changes, grouped by action type. Do not apply changes until the user approves them.

Steps

1. Gather all memory layers

Read OPENSPACE.md and OPENSPACE.local.md from the project root if they exist. Review auto-memory from the memory section and MEMORY.md; use memory_read for topic files when needed. Note team memory only as unavailable unless this deployment explicitly has a team memory backend.

Success criteria: you have the contents of all available memory layers and can compare them.

2. Classify each auto-memory entry

For each substantive auto-memory entry, determine the best destination:

DestinationWhat belongs thereExamples
OPENSPACE.mdProject conventions and instructions for OpenSpace that all contributors should followuse uv not raw pip; API routes use kebab-case; test command is pytest; prefer functional style
OPENSPACE.local.mdPersonal instructions specific to this user or machine, not applicable to other contributorsconcise responses; explain tradeoffs; do not auto-commit; run tests before committing
Auto-memory topicDurable cross-session user, feedback, project, or reference memory that does not belong in static project instructionsuser role, durable feedback, external reference pointers, uncertain but useful context
Stay putWorking notes, temporary context, or entries that do not clearly fit elsewheresession-specific observations, uncertain patterns

Important distinctions:

  • OPENSPACE.md and OPENSPACE.local.md contain instructions for the agent, not arbitrary external-tool preferences.
  • Workflow practices such as PR conventions, merge strategy, and branch naming can be personal or team-wide; ask the user when unclear.
  • When unsure, ask rather than guess.

Success criteria: each entry has a proposed destination or is flagged as ambiguous.

3. Identify cleanup opportunities

Scan across all layers for:

  • Duplicates: auto-memory entries already captured in OPENSPACE.md or OPENSPACE.local.md.
  • Outdated entries: static instructions contradicted by newer auto-memory.
  • Conflicts: contradictions between any two layers; propose a resolution and note which evidence is newer.
  • Overloaded index lines: MEMORY.md entries that contain content that belongs in a topic file.

Success criteria: all cross-layer issues are identified.

4. Present the report

Output a structured report grouped by action type:

  1. Promotions: entries to move, with destination and rationale.
  2. Cleanup: duplicates, outdated entries, conflicts, and index cleanup.
  3. Ambiguous: entries where you need the user's input on destination.
  4. No action needed: brief note on entries that should stay put.

If auto-memory is empty, say so and offer to review OPENSPACE.md for cleanup.

Rules

  • Present all proposals before making changes.
  • Do not modify files without explicit user approval.
  • Do not create new files unless the approved target does not exist yet.
  • Ask about ambiguous entries; do not guess.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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