.github/skills/engineering-team/self-improving-agent/SKILL.md
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.
npx skillsauth add desenyon/infinitecontex self-improving-agentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Auto-memory captures. This plugin curates.
Claude Code's auto-memory (v2.1.32+) automatically records project patterns, debugging insights, and your preferences in MEMORY.md. This plugin adds the intelligence layer: it analyzes what Claude has learned, promotes proven patterns into project rules, and extracts recurring solutions into reusable skills.
| Command | What it does |
|---------|-------------|
| /si:review | Analyze MEMORY.md — find promotion candidates, stale entries, consolidation opportunities |
| /si:promote | Graduate a pattern from MEMORY.md → CLAUDE.md or .claude/rules/ |
| /si:extract | Turn a proven pattern into a standalone skill |
| /si:status | Memory health dashboard — line counts, topic files, recommendations |
| /si:remember | Explicitly save important knowledge to auto-memory |
┌─────────────────────────────────────────────────────────┐
│ Claude Code Memory Stack │
├─────────────┬──────────────────┬────────────────────────┤
│ CLAUDE.md │ Auto Memory │ Session Memory │
│ (you write)│ (Claude writes)│ (Claude writes) │
│ Rules & │ MEMORY.md │ Conversation logs │
│ standards │ + topic files │ + continuity │
│ Full load │ First 200 lines│ Contextual load │
├─────────────┴──────────────────┴────────────────────────┤
│ ↑ /si:promote ↑ /si:review │
│ Self-Improving Agent (this plugin) │
│ ↓ /si:extract ↓ /si:remember │
├─────────────────────────────────────────────────────────┤
│ .claude/rules/ │ New Skills │ Error Logs │
│ (scoped rules) │ (extracted) │ (auto-captured)│
└─────────────────────────────────────────────────────────┘
/plugin marketplace add alirezarezvani/claude-skills
/plugin install self-improving-agent@claude-code-skills
clawhub install self-improving-agent
./scripts/codex-install.sh --skill self-improving-agent
| File | Who writes | Scope | Loaded |
|------|-----------|-------|--------|
| ./CLAUDE.md | You (+ /si:promote) | Project rules | Full file, every session |
| ~/.claude/CLAUDE.md | You | Global preferences | Full file, every session |
| ~/.claude/projects/<path>/memory/MEMORY.md | Claude (auto) | Project learnings | First 200 lines |
| ~/.claude/projects/<path>/memory/*.md | Claude (overflow) | Topic-specific notes | On demand |
| .claude/rules/*.md | You (+ /si:promote) | Scoped rules | When matching files open |
1. Claude discovers pattern → auto-memory (MEMORY.md)
2. Pattern recurs 2-3x → /si:review flags it as promotion candidate
3. You approve → /si:promote graduates it to CLAUDE.md or rules/
4. Pattern becomes an enforced rule, not just a note
5. MEMORY.md entry removed → frees space for new learnings
Auto-memory is excellent at recording what Claude learns. But it has no judgment about:
That's what this plugin does.
When you promote a learning, it moves from Claude's scratchpad (MEMORY.md) to your project's rule system (CLAUDE.md or .claude/rules/). The difference matters:
Promoted rules have higher priority and load in full (not truncated at 200 lines).
Not everything belongs in CLAUDE.md. Use .claude/rules/ for patterns that only apply to specific file types:
# .claude/rules/api-testing.md
---
paths:
- "src/api/**/*.test.ts"
- "tests/api/**/*"
---
- Use supertest for API endpoint testing
- Mock external services with msw
- Always test error responses, not just happy paths
This loads only when Claude works with API test files — zero overhead otherwise.
Analyzes MEMORY.md and topic files to identify:
Takes a proven pattern and generates a complete skill:
/plugin install or clawhub publishMonitors command output for errors. When detected, appends a structured entry to auto-memory with:
Token overhead: Zero on success. ~30 tokens only when an error is detected.
| Platform | Memory System | Plugin Works? |
|----------|--------------|---------------|
| Claude Code | Auto-memory (MEMORY.md) | ✅ Full support |
| OpenClaw | workspace/MEMORY.md | ✅ Adapted (reads workspace memory) |
| Codex CLI | AGENTS.md | ✅ Adapted (reads AGENTS.md patterns) |
| GitHub Copilot | .github/copilot-instructions.md | ⚠️ Manual promotion only |
testing
When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions "form optimization," "lead form conversions," "form friction," "form fields," "form completion rate," or "contact form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.
development
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.
testing
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
development
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.