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auto-evolution

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Memory-driven self-evolution layer for Agent Skills. Captures usage patterns, learns from errors, and automatically generates reusable knowledge. Use when you want your agent to learn from experience, track skill effectiveness, or generate improvement suggestions.

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1.2k downloads
Updated 3/11/2026

Package Files

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SKILL.md

Auto-Evolution: Memory-Driven Self-Evolution for Agent Skills

Transform your agent from a static assistant into a learning system that evolves with every interaction.

What Makes This Different

Traditional Skills:  User → Agent → Output (static)

Auto-Evolution:      User → Agent → Output
                              ↓
                        [Capture] → [Memory] → [Learn] → [Evolve]
                              ↓
                     Agent gets smarter over time

Quick Start

1. Enable Hooks

Add to your .claude/settings.json:

{
  "hooks": {
    "PreToolUse": [{"matcher": "Read|Write|Edit|Bash", "hooks": [{"type": "command", "command": "bash .claude/skills/evolution/hooks/capture.sh \"$TOOL_NAME\" \"$TOOL_INPUT\""}]}],
    "PostToolUse": [{"matcher": "Bash", "hooks": [{"type": "command", "command": "bash .claude/skills/evolution/hooks/capture.sh post-bash \"$TOOL_OUTPUT\" \"$EXIT_CODE\""}]}],
    "Stop": [{"matcher": "", "hooks": [{"type": "command", "command": "bash .claude/skills/evolution/hooks/reflect.sh"}]}]
  }
}

2. Work Normally

Just use Claude Code as you always do. The system silently captures:

  • Which skills you use
  • Commands that succeed or fail
  • Patterns that repeat

3. See Your Evolution

At session end, open reports/dashboard.html for a visual summary.


Core Concepts

Three-Layer Memory System

LayerPurposeRetentionExample
EpisodicRaw events7 days"Used layout.md at 14:32"
SemanticPatterns30 days"TypeScript errors often follow X"
ProceduralHow-to knowledgePermanentReady-to-use skill drafts

The Evolution Loop

┌─────────────────────────────────────────────────────────┐
│                                                          │
│   ┌──────────┐     ┌──────────┐     ┌──────────┐        │
│   │  Capture │ ──▶ │  Analyze │ ──▶ │  Evolve  │        │
│   │  Events  │     │  Patterns│     │  Skills  │        │
│   └──────────┘     └──────────┘     └──────────┘        │
│        ▲                                   │            │
│        │           ┌──────────┐           │            │
│        └────────── │  Memory  │ ◀─────────┘            │
│                    │  System  │                         │
│                    └──────────┘                         │
│                                                          │
└─────────────────────────────────────────────────────────┘

Commands

/retrospective - Session Review

Ask Claude to generate a session retrospective:

User: /retrospective

Produces:

  • Skills used with frequency counts
  • Errors encountered and resolutions
  • Patterns detected
  • Improvement suggestions

/evolve - Promote Knowledge

When you discover a reusable pattern:

User: This error handling approach is useful. /evolve it to a skill.

Claude will:

  1. Extract the pattern
  2. Create a skill draft in community/
  3. Add validation criteria

/dashboard - Visual Report

User: /dashboard

Opens the visual evolution dashboard showing:

  • Session statistics
  • Memory state
  • Skill effectiveness heatmap
  • Improvement opportunities

Configuration

Edit config.json:

{
  "memory": {
    "episodic_ttl_days": 7,
    "semantic_ttl_days": 30,
    "pattern_threshold": 3
  },
  "capture": {
    "ignore_exit_codes": [1],
    "ignore_patterns": ["grep|rg|test"],
    "force_patterns": ["error|fatal|panic"]
  },
  "evolution": {
    "auto_draft": true,
    "require_validation": true,
    "min_occurrences": 3
  }
}

File Structure

evolution/
├── SKILL.md           # This file
├── config.json        # All settings
├── memory/
│   ├── episodes.jsonl # Raw events (append-only)
│   ├── patterns.json  # Detected patterns
│   └── drafts/        # Skill candidates
├── hooks/
│   ├── lib.sh         # Shared utilities
│   ├── capture.sh     # Event capture
│   └── reflect.sh     # Session reflection
├── reports/
│   ├── dashboard.html # Visual dashboard
│   └── sessions/      # Session reports
├── templates/
│   └── skill.md       # Skill template
└── community/
    └── README.md      # Contribution guide

Quality Gates

Skills evolve through stages:

[Detected] ──▶ [Draft] ──▶ [Validated] ──▶ [Promoted]
    │             │            │              │
    │             │            │              └─ Becomes official skill
    │             │            └─ Verified to work
    │             └─ Structured documentation
    └─ Pattern appears 3+ times

Integration

Works with any skills library. Just copy evolution/ to your .claude/skills/ directory.

For advanced integration, see ARCHITECTURE.md.

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

78/100Analyzed 3/28/2026

Well-structured skill about memory-driven self-evolution with clear documentation, structured steps, and useful metadata. Provides concrete configuration examples and command definitions. Some implementation details reference ARCHITECTURE.md which isn't included, but the core concept and quick start are actionable. Tags are generic (llm, testing) but the skill is highly reusable across projects.

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Metadata

Licenseunknown
Version-
Updated3/11/2026
Publishersquirrel289

Tags

llmtesting