/evolve

Evolve Command

Implementation

Run the instinct CLI using the plugin root path:

python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" evolve [--generate]

Or if CLAUDE_PLUGIN_ROOT is not set (manual installation):

python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py evolve [--generate]

Analyzes instincts and clusters related ones into higher-level structures:

• Commands: When instincts describe user-invoked actions
• Skills: When instincts describe auto-triggered behaviors
• Agents: When instincts describe complex, multi-step processes

Usage

/evolve                    # Analyze all instincts and suggest evolutions
/evolve --generate         # Also generate files under evolved/{skills,commands,agents}

Evolution Rules

→ Command (User-Invoked)

When instincts describe actions a user would explicitly request:

• Multiple instincts about "when user asks to..."
• Instincts with triggers like "when creating a new X"
• Instincts that follow a repeatable sequence

Example:

• new-table-step1: "when adding a database table, create migration"
• new-table-step2: "when adding a database table, update schema"
• new-table-step3: "when adding a database table, regenerate types"

→ Creates: new-table command

→ Skill (Auto-Triggered)

When instincts describe behaviors that should happen automatically:

• Pattern-matching triggers
• Error handling responses
• Code style enforcement

Example:

• prefer-functional: "when writing functions, prefer functional style"
• use-immutable: "when modifying state, use immutable patterns"
• avoid-classes: "when designing modules, avoid class-based design"

→ Creates: functional-patterns skill

→ Agent (Needs Depth/Isolation)

When instincts describe complex, multi-step processes that benefit from isolation:

• Debugging workflows
• Refactoring sequences
• Research tasks

Example:

• debug-step1: "when debugging, first check logs"
• debug-step2: "when debugging, isolate the failing component"
• debug-step3: "when debugging, create minimal reproduction"
• debug-step4: "when debugging, verify fix with test"

→ Creates: debugger agent

What to Do

1. Detect current project context
2. Read project + global instincts (project takes precedence on ID conflicts)
3. Group instincts by trigger/domain patterns
4. Identify:
   • Skill candidates (trigger clusters with 2+ instincts)
   • Command candidates (high-confidence workflow instincts)
   • Agent candidates (larger, high-confidence clusters)
5. Show promotion candidates (project -> global) when applicable
6. If --generate is passed, write files to:
   • Project scope: ~/.claude/homunculus/projects/<project-id>/evolved/
   • Global fallback: ~/.claude/homunculus/evolved/

Output Format

============================================================
  EVOLVE ANALYSIS - 12 instincts
  Project: my-app (a1b2c3d4e5f6)
  Project-scoped: 8 | Global: 4
============================================================

High confidence instincts (>=80%): 5

## SKILL CANDIDATES
1. Cluster: "adding tests"
   Instincts: 3
   Avg confidence: 82%
   Domains: testing
   Scopes: project

## COMMAND CANDIDATES (2)
  /adding-tests
    From: test-first-workflow [project]
    Confidence: 84%

## AGENT CANDIDATES (1)
  adding-tests-agent
    Covers 3 instincts
    Avg confidence: 82%

Ontology Integration

--generate로 새 command/skill을 생성할 때, .claude/ontology/index.json이 존재하면:

1. 생성된 구조체의 트리거 도메인이 기존 domain_*와 겹치는지 확인한다
2. 겹치는 도메인이 있으면 해당 도메인의 constraints[]를 생성 파일에 포함시킨다
3. 완전히 새로운 도메인을 다루는 구조체라면 docs/features/ spec 파일 생성 후 /ontology-sync를 실행한다

Flags

• --generate: Generate evolved files in addition to analysis output

Generated File Format

Command

---
name: new-table
description: Create a new database table with migration, schema update, and type generation
command: /new-table
evolved_from:
  - new-table-migration
  - update-schema
  - regenerate-types
---

# New Table Command

[Generated content based on clustered instincts]

## Steps
1. ...
2. ...

Skill

---
name: functional-patterns
description: Enforce functional programming patterns
evolved_from:
  - prefer-functional
  - use-immutable
  - avoid-classes
---

# Functional Patterns Skill

[Generated content based on clustered instincts]

Agent

---
name: debugger
description: Systematic debugging agent
model: sonnet
evolved_from:
  - debug-check-logs
  - debug-isolate
  - debug-reproduce
---

# Debugger Agent

[Generated content based on clustered instincts]