How to install self-improving-agent
npx skills add https://github.com/alirezarezvani/claude-skills --skill self-improving-agentFull instructions (SKILL.md)
Source of truth, from alirezarezvani/claude-skills.
name: "self-improving-agent" description: "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."
Self-Improving Agent
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.
Quick Reference
| 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 |
How It Fits Together
┌─────────────────────────────────────────────────────────┐
│ 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)│
└─────────────────────────────────────────────────────────┘
Installation
Claude Code (Plugin)
/plugin marketplace add alirezarezvani/claude-skills
/plugin install self-improving-agent@claude-code-skills
OpenClaw
clawhub install self-improving-agent
Codex CLI
./scripts/codex-install.sh --skill self-improving-agent
Memory Architecture
Where things live
| 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 |
The promotion lifecycle
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
Core Concepts
Auto-memory is capture, not curation
Auto-memory is excellent at recording what Claude learns. But it has no judgment about:
- Which learnings are temporary vs. permanent
- Which patterns should become enforced rules
- When the 200-line limit is wasting space on stale entries
- Which solutions are good enough to become reusable skills
That's what this plugin does.
Promotion = graduation
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:
- MEMORY.md: "I noticed this project uses pnpm" (background context)
- CLAUDE.md: "Use pnpm, not npm" (enforced instruction)
Promoted rules have higher priority and load in full (not truncated at 200 lines).
Rules directory for scoped knowledge
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.
Agents
memory-analyst
Analyzes MEMORY.md and topic files to identify:
- Entries that recur across sessions (promotion candidates)
- Stale entries referencing deleted files or old patterns
- Related entries that should be consolidated
- Gaps between what MEMORY.md knows and what CLAUDE.md enforces
skill-extractor
Takes a proven pattern and generates a complete skill:
- SKILL.md with proper frontmatter
- Reference documentation
- Examples and edge cases
- Ready for
/plugin installorclawhub publish
Hooks
error-capture (PostToolUse → Bash)
Monitors command output for errors. When detected, appends a structured entry to auto-memory with:
- The command that failed
- Error output (truncated)
- Timestamp and context
- Suggested category
Token overhead: Zero on success. ~30 tokens only when an error is detected.
Platform Support
| 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 |
Related
- Claude Code Memory Docs
- pskoett/self-improving-agent — inspiration
- playwright-pro — sister plugin in this repo
Related skills
More from alirezarezvani/claude-skills and the wider catalog.
marketing-skills
Directory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself.
engineering-skills
Index of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle.
finance-skills
Router/index for the 2 finance skills bundled in this plugin: financial-analyst (ratio analysis, DCF valuation, budget variance, rolling forecasts) and saas-metrics-coach (ARR/MRR, churn, CAC/LTV, NRR, quick ratio). Use when a finance request doesn't obviously match one skill and you need to pick the right one (e.g., 'analyze these financials', 'how healthy are my SaaS metrics').
business-growth-skills
Router/index for the 4 business & growth skills bundled in this plugin: customer-success-manager (health scoring, churn risk, expansion), sales-engineer (RFP analysis, competitive matrices, PoC planning), revenue-operations (pipeline, forecast accuracy, GTM efficiency), and contract-and-proposal-writer. Use when a growth/revenue request doesn't obviously match one skill and you need to pick the right one (e.g., 'which accounts are at risk', 'should we bid on this RFP').
engineering-advanced-skills
Index of 37 advanced engineering agent skills for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Use when browsing or choosing among the POWERFUL-tier engineering skills: agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, changelog/release automation, reliability (SLO/chaos/flags/operators), platform ops.
product-skills
Router/index for the 12 product skills bundled in this plugin (RICE prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding). Use when a product request doesn't obviously match one skill and you need to pick the right one (e.g., 'help me prioritize features', 'plan a product experiment').