start
SolidOpen a new autoresearch experiment loop — dedicated `ar/…` git branch, `./.ar/` state, and a measured baseline noise floor so later gains can be told apart from run-to-run scatter. Invoke ONLY when explicitly asked to start an autoresearch run, open an experiment loop, or `/ar:start` — e.g. "autoresearch this", "start an ar run", "set up a loop to minimise X". Do NOT auto-fire on ordinary optimisation work. "Make this faster", "improve the accuracy", "tune these hyperparameters", "benchmark this", "find the best configuration" are normal requests to handle directly, not loops. Warranted only when many measured iterations under a locked harness are wanted — it creates a git branch and a commit on first use.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- emaballarin
- Repository
- emaballarin/ccplugins
- Created
- 3 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
resume
Run the autoresearch experiment loop — propose one change, measure it, keep it only if it beats the noise floor, repeat. Use to resume or continue an autoresearch run, for `/ar:resume`, for "keep iterating", "next experiment", "continue optimising", or whenever `./.ar/ar.jsonl` exists and the loop should advance. Reconstructs everything from disk, so it survives compaction, `/clear`, and a fresh session. Requires `/ar:start` to have run first.
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.
status
Print the current autoresearch run's state — goal, baseline, noise floor, best-so-far, run tallies, budget, branch, and the last few iterations. Use for `/ar:status`, "how is the loop doing", "what's the best so far", or any read-only check on an autoresearch experiment. Reconstructs everything from `./.ar/ar.jsonl` on disk, so it works in a fresh session with no prior history. Strictly read-only — never iterates, edits, commits, or reverts.