labautoresearch
FeaturedSelf-improving loop for plugin skills. Reads program.md, proposes one mutation per iteration, evaluates against deterministic scorer, keeps improvements via git, reverts failures. Targets weakest skill+dimension. Use with /loop for overnight runs.
Install
Quality Score: 97/100
Skill Content
Details
- Author
- oliver-kriska
- Repository
- oliver-kriska/claude-elixir-phoenix
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
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autoresearch
Autoresearch v2. Meta-Harness-informed self-improving skill loop. Upgrades from Karpathy hill-climbing to trace-informed diagnosis: full execution trace access, counterfactual diagnosis after regressions, additive-only safety valve, multi-candidate filesystem. Runs on any skill that produces scoreable output. Also runs on CLAUDE.md routing logic itself. If you can score it, you can autoresearch it.
autoresearch
Autonomous experiment loop: edit code, commit, run benchmark, extract metrics, keep improvements or revert, repeat forever. Use this skill when the user asks to "run autoresearch", "start an experiment loop", "optimize a metric autonomously", "autonomous experiments", "benchmark loop", "keep/discard experiments", "optimize test speed", "optimize bundle size", "optimize build time", "run experiments overnight", "speed up my tests", "make my build faster", "reduce compile time", "keep trying until it's faster", "run experiments while I sleep", "overnight optimization", "edit-measure-keep loop", "autoresearch status", or mentions "autoresearch", "experiment loop", "autonomous optimization". Always use this skill when the user wants to iteratively and autonomously improve any measurable metric — even if they don't use the word "autoresearch". Also use when the user asks about the status of a running autoresearch session or wants to cancel/stop one.
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