SE

self-improving-agent

Analyzes project memory to promote recurring solutions into enforced rules and reusable skills.

Install

mkdir -p .claude/skills/self-improving-agent && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8135" && unzip -o skill.zip -d .claude/skills/self-improving-agent && rm skill.zip

Installs to .claude/skills/self-improving-agent

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
415 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Analyze MEMORY.md for patterns
  • Promote patterns to CLAUDE.md or rules
  • Extract solutions into reusable skills
  • Monitor memory health and capacity

How it works

The skill analyzes the auto-generated MEMORY.md file to identify recurring patterns, then provides commands to graduate these patterns into enforced project rules or standalone skills.

Inputs & outputs

You give it
Project memory patterns
You get back
Promoted rules or extracted skills

When to use self-improving-agent

  • Review auto-memory patterns
  • Promote patterns to enforced rules
  • Clean up stale project memory
  • Create custom project rules

About this skill

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

CommandWhat it does
/si:memory-reviewAnalyze MEMORY.md — find promotion candidates, stale entries, consolidation opportunities
/si:promoteGraduate a pattern from MEMORY.md → CLAUDE.md or .claude/rules/
/si:extractTurn a proven pattern into a standalone skill
/si:memory-statusMemory health dashboard — line counts, topic files, recommendations
/si:rememberExplicitly 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:memory-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

FileWho writesScopeLoaded
./CLAUDE.mdYou (+ /si:promote)Project rulesFull file, every session
~/.claude/CLAUDE.mdYouGlobal preferencesFull file, every session
~/.claude/projects/<path>/memory/MEMORY.mdClaude (auto)Project learningsFirst 200 lines
~/.claude/projects/<path>/memory/*.mdClaude (overflow)Topic-specific notesOn demand
.claude/rules/*.mdYou (+ /si:promote)Scoped rulesWhen matching files open

The promotion lifecycle

1. Claude discovers pattern → auto-memory (MEMORY.md)
2. Pattern recurs 2-3x → /si:memory-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 install or clawhub 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

PlatformMemory SystemPlugin Works?
Claude CodeAuto-memory (MEMORY.md)✅ Full support
OpenClawworkspace/MEMORY.md✅ Adapted (reads workspace memory)
Codex CLIAGENTS.md✅ Adapted (reads AGENTS.md patterns)
GitHub Copilot.github/copilot-instructions.md⚠️ Manual promotion only

Related

When not to use it

  • Managing project files unrelated to agent memory
  • Directly editing memory without analysis

Prerequisites

Claude CodeMEMORY.md file

Limitations

  • Limited to patterns captured in auto-memory
  • Requires manual approval for promotion

How it compares

It transforms passive auto-memory logs into active, enforced project knowledge, unlike manual documentation methods.

Compared to similar skills

self-improving-agent side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
self-improving-agent (this skill)121moReviewIntermediate
prompt-optimize139moNo flagsAdvanced
ai-cost-optimizer95moCautionIntermediate
ccs-delegation28moNo flagsIntermediate

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