self-evolve
SolidCapture reusable patterns from a finished project and lift them into framework-level priors (contracts, modules, skeletons) that future projects inherit. Run only when the user explicitly requests self-evolution; the orchestrator executes the workflow.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- tettethu
- Repository
- tettethu/VibeGame
- Created
- 1 weeks ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
artist-self-evolve
Distill stable art-generation patterns from a completed project, so future projects produce comparable assets without re-discovering the prompts. Lead-dispatched only — orchestrator invokes this skill from its `self-evolve` flow with a `game-slug` message; do not self-trigger.
capability-evolver
Self-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".
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