Agent skill
review
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Install this agent skill to your Project
npx add-skill https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/auto-memory-pro/skills/review
SKILL.md
/si:review — Analyze Auto-Memory
Performs a comprehensive audit of Claude Code's auto-memory and produces actionable recommendations.
Usage
/si:review # Full review
/si:review --quick # Summary only (counts + top 3 candidates)
/si:review --stale # Focus on stale/outdated entries
/si:review --candidates # Show only promotion candidates
What It Does
Step 1: Locate memory directory
# Find the project's auto-memory directory
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
# Fallback: check common path patterns
# ~/.claude/projects/<user>/<project>/memory/
# ~/.claude/projects/<absolute-path>/memory/
# List all memory files
ls -la "$MEMORY_DIR"/
If memory directory doesn't exist, report that auto-memory may be disabled. Suggest checking with /memory.
Step 2: Read and analyze MEMORY.md
Read the full MEMORY.md file. Count lines and check against the 200-line startup limit.
Analyze each entry for:
-
Recurrence indicators
- Same concept appears multiple times (different wording)
- References to "again" or "still" or "keeps happening"
- Similar entries across topic files
-
Staleness indicators
- References files that no longer exist (
findto verify) - Mentions outdated tools, versions, or commands
- Contradicts current CLAUDE.md rules
- References files that no longer exist (
-
Consolidation opportunities
- Multiple entries about the same topic (e.g., three lines about testing)
- Entries that could merge into one concise rule
-
Promotion candidates — entries that meet ALL criteria:
- Appeared in 2+ sessions (check wording patterns)
- Not project-specific trivia (broadly useful)
- Actionable (can be written as a concrete rule)
- Not already in CLAUDE.md or
.claude/rules/
Step 3: Read topic files
If MEMORY.md references or the directory contains additional files (debugging.md, patterns.md, etc.):
- Read each one
- Cross-reference with MEMORY.md for duplicates
- Check for entries that belong in the main file (high value) vs. topic files (details)
Step 4: Cross-reference with CLAUDE.md
Read the project's CLAUDE.md (if it exists) and compare:
- Are there MEMORY.md entries that duplicate CLAUDE.md rules? (→ remove from memory)
- Are there MEMORY.md entries that contradict CLAUDE.md? (→ flag conflict)
- Are there MEMORY.md patterns not yet in CLAUDE.md that should be? (→ promotion candidate)
Also check .claude/rules/ directory for existing scoped rules.
Step 5: Generate report
Output format:
📊 Auto-Memory Review
Memory Health:
MEMORY.md: {{lines}}/200 lines ({{percent}}%)
Topic files: {{count}} ({{names}})
CLAUDE.md: {{lines}} lines
Rules: {{count}} files in .claude/rules/
🎯 Promotion Candidates ({{count}}):
1. "{{pattern}}" — seen {{n}}x, applies broadly
→ Suggest: {{target}} (CLAUDE.md / .claude/rules/{{name}}.md)
2. ...
🗑️ Stale Entries ({{count}}):
1. Line {{n}}: "{{entry}}" — {{reason}}
2. ...
🔄 Consolidation ({{count}} groups):
1. Lines {{a}}, {{b}}, {{c}} all about {{topic}} → merge into 1 entry
2. ...
⚠️ Conflicts ({{count}}):
1. MEMORY.md line {{n}} contradicts CLAUDE.md: {{detail}}
💡 Recommendations:
- {{actionable suggestion}}
- {{actionable suggestion}}
When to Use
- After completing a major feature or debugging session
- When
/si:statusshows MEMORY.md is over 150 lines - Weekly during active development
- Before starting a new project phase
- After onboarding a new team member (review what Claude learned)
Tips
- Run
/si:review --quickfrequently (low overhead) - Full review is most valuable when MEMORY.md is getting crowded
- Act on promotion candidates promptly — they're proven patterns
- Don't hesitate to delete stale entries — auto-memory will re-learn if needed
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
audit-website
Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.
firecrawl
Web search and scraping via Firecrawl API. Use when you need to search the web, scrape websites (including JS-heavy pages), crawl entire sites, or extract structured data from web pages. Requires FIRECRAWL_API_KEY environment variable.
computer-use
Full desktop computer use for headless Linux servers. Xvfb + XFCE virtual desktop with xdotool automation. 17 actions (click, type, scroll, screenshot, drag, etc). Unlike OpenClaw's browser tool, operates at the X11 level so websites cannot detect automation. Includes VNC for live viewing.
social-media-analyzer
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.
business-growth-skills
4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
contract-and-proposal-writer
Contract & Proposal Writer
Didn't find tool you were looking for?