{"enrichment":{"faq":[{"a":"lab:autoresearch automatically improves plugin skills through iterative mutations and deterministic evaluation. It mutates skills one change at a time, scores each mutation against fixed criteria, commits improvements that pass, and reverts failures. You can target the weakest skill dimension or run a full sweep overnight using the /loop command.","q":"How does lab:autoresearch auto improve plugin skills?"},{"a":"Yes. lab:autoresearch supports running overnight skill optimization loops with targeted or sweep strategies. Use /loop to launch an optimization run\u2014target a specific weak dimension for focused improvement or execute a full sweep across all skill aspects. The loop runs deterministic evaluation on each mutation and commits only successful changes.","q":"Can I run overnight skill optimization loops with lab:autoresearch?"},{"a":"lab:autoresearch detects and reverts skill regressions while keeping successful improvements. Each mutation is scored against deterministic criteria; if a change degrades performance, it's automatically reverted. Only mutations that pass evaluation are committed, ensuring your skills improve without degradation.","q":"Does lab:autoresearch detect and revert skill regressions?"},{"a":"lab:autoresearch scores and tracks the weakest skill dimensions for focused optimization. It evaluates each skill against deterministic criteria and identifies which aspects need the most work. You can then use targeted /loop runs to concentrate improvements on those specific weak areas rather than optimizing blindly.","q":"How does lab:autoresearch score and track skill weaknesses?"},{"a":"lab:autoresearch performs automated skill mutation testing by making one change at a time to your plugin skills, evaluating each mutation deterministically, and keeping or reverting based on results. This iterative skill enhancement approach builds a mutation history and maintains a backlog of deferred optimizations for continuous refinement.","q":"What is automated skill mutation testing in lab:autoresearch?"}],"shadow_tags":["self-optimizing","mutation-testing","deterministic-scoring","skill-refinement","regression-detection","iterative-improvement","automated-evaluation","plugin-development","performance-tuning","quality-assurance"],"summary_rewrite":"lab:autoresearch runs a self-improving loop that mutates plugin skills one change at a time, scores each against deterministic criteria, and commits improvements while reverting failures. Target the weakest skill or run a full sweep overnight with /loop."},"files":[{"bytes":4678,"path":"lab/autoresearch/SKILL.md","sha256":"c72c8d11ef020e4fd1c53774ea2834697f18c0967ea08d3d1970034701223d16","url":"https://skillfed.io/files/oliver-kriska/claude-elixir-phoenix/autoresearch/9352fd72/SKILL.md"}],"id":"oliver-kriska/claude-elixir-phoenix/autoresearch","links":{"html":"https://skillfed.io/oliver-kriska/claude-elixir-phoenix/autoresearch","md":"https://skillfed.io/oliver-kriska/claude-elixir-phoenix/autoresearch.md","repo":"https://github.com/oliver-kriska/claude-elixir-phoenix"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":35,"language":"Python","last_updated":"2026-07-27","license":"MIT","name":"lab:autoresearch","publisher":"oliver-kriska","stars":507},"relations":{"similar":[{"id":"akillness/jeo-skills/autoresearch"},{"id":"FlorianBruniaux/claude-code-ultimate-guide/autoresearch"},{"id":"jdrhyne/agent-skills/autoresearch-loop"},{"id":"akillness/jeo-skills/skill-autoresearch"},{"id":"kbanc85/claudia/auto-research"},{"id":"oliver-kriska/claude-elixir-phoenix/plugin-dev-workflow"},{"id":"rllm-org/hive/hive"},{"id":"oldwinter/skills/darwin-skill"},{"id":"alchaincyf/darwin-skill/darwin-skill"},{"id":"Factory-AI/factory-plugins/autoresearch"}]},"slug":{"owner":"oliver-kriska","repo":"claude-elixir-phoenix","skill":"autoresearch"},"version":"9352fd72"}