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skill-sneg55-agent-starter-remember · by sneg55

Review auto-memory entries and propose promotions to CLAUDE.md, CLAUDE.local.md, or shared memory. Also detects outdated, conflicting, and duplicate entries across memory layers.

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Install

$ agentstack add skill-sneg55-agent-starter-remember

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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 - present proposals for user approval.

Steps

1. Gather all memory layers

Read CLAUDE.md and CLAUDE.local.md from the project root (if they exist). Your auto-memory content is already in your system prompt - review it there. Note which team memory sections exist, if any.

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

2. Classify each auto-memory entry

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

| Destination | What belongs there | Examples | |---|---|---| | CLAUDE.md | Project conventions and instructions for Claude that all contributors should follow | "use bun not npm", "API routes use kebab-case", "test command is bun test", "prefer functional style" | | CLAUDE.local.md | Personal instructions for Claude specific to this user, not applicable to other contributors | "I prefer concise responses", "always explain trade-offs", "don't auto-commit", "run tests before committing" | | Team memory | Org-wide knowledge that applies across repositories (only if team memory is configured) | "deploy PRs go through #deploy-queue", "staging is at staging.internal", "platform team owns infra" | | Stay in auto-memory | Working notes, temporary context, or entries that don't clearly fit elsewhere | Session-specific observations, uncertain patterns |

Important distinctions:

  • CLAUDE.md and CLAUDE.local.md contain instructions for Claude, not user preferences for external tools (editor theme, IDE keybindings, etc. don't belong in either)
  • Workflow practices (PR conventions, merge strategies, branch naming) are ambiguous - ask the user whether they're personal or team-wide
  • 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 CLAUDE.md or CLAUDE.local.md → propose removing from auto-memory
  • Outdated: CLAUDE.md or CLAUDE.local.md entries contradicted by newer auto-memory entries → propose updating the older layer
  • Conflicts: Contradictions between any two layers → propose resolution, noting which is more recent

Success criteria: All cross-layer issues 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 to resolve
  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 CLAUDE.md for cleanup.

Success criteria: User can review and approve/reject each proposal individually.

Rules

  • Present ALL proposals before making any changes
  • Do NOT modify files without explicit user approval
  • Do NOT create new files unless the target doesn't exist yet
  • Ask about ambiguous entries - don't guess

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.