القائمة
Run system self-evolution cycle (SEAI framework). Use when user asks for self-evolution, system improvement, SEAI cycle, /evolve, or to analyze evolution history.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when you need to generate or enhance user interface and user experience designs.
Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks Clawdbot to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
Collaborative thinking partner for exploring complex problems through questioning
Use when you need to access and apply superpowers within your Claude projects.
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
Use when you need to analyze your own reasoning process to improve accuracy.
| name | evolve |
| description | Run system self-evolution cycle (SEAI framework). Use when user asks for self-evolution, system improvement, SEAI cycle, /evolve, or to analyze evolution history. |
7-phase SEAI cycle: Analyze → Reflect → Generate improvements → Learn → Adapt → Evaluate → Plan next. Feeds into the gene pool: successful strategies become reusable genes for future cycles.
# Single evolution cycle (safe mode — asks before applying)
python3 _scripts/self_evolution.py cycle --safe
# Multiple continuous cycles
python3 _scripts/self_evolution.py continuous --iterations 3 --safe
# View evolution history and trends
python3 _scripts/self_evolution.py analyze --iterations 5 --report
/reflect → observe system behavior (self_reflection.py)
/evolve → generate system improvements (self_evolution.py) ← here
/insights → manage insight lifecycle (insight_enhancement.py)
/skill-evolve → score + improve skills + genes (skill_evolution.py)
/gene → view and apply proven genes
_logs/evolution_log.json — full iteration history with phases, improvements, and metrics