capability-evolver
FeaturedSelf-evolution workflow for the agent. Before substantive work, recall past outcomes from evolution memory; while editing, detect improvement signals; at task end, record the outcome; when reusable, distill or search the EvoMap network for proven genes/capsules. Use when the user starts non-trivial work (a feature, a fix, a refactor) or asks the agent to "evolve", "learn from this", or "remember how this went".
Install
Quality Score: 90/100
Skill Content
Details
- Author
- Dianel555
- Repository
- Dianel555/DSkills
- Created
- 7 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
self-evolution
Self-evolution system for AI agents. Enables an agent without continuous memory to accumulate experience, internalize lessons, and proactively improve — becoming better than yesterday, every day. Triggers: scheduled nightly run (/schedule or external cron), manual "self-evolve", weekly deep review
evolve
Analyzes agent/skill failures, drafts prompt/permission fixes. Triggers: improve agent, refine skill, system prompt, optimize agent.
evolving-ai-agents
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.