/benchmark-optimization-loop
Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
$ npx -y skills add 23ag1/completely --skill benchmark-optimization-loop --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/benchmark-optimization-loop
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
A quality-first harness for autonomous AI coding agents. It turns "the agent said it's done" into *"here's the proof — graded by an independent, default-FAIL checker."* Done is earned, not asserted.
Repo: 23ag1/completely
Other skills on completely.
- /auto
Run completely AUTONOMOUSLY — loop the FULL task engine over the Beads queue, a fresh `claude -p` per task, until the queue is empty. Same complete recipe as /completely:control. Backed by `cmpl auto`. Run it in the FOREGROUND (blocking) — nested workers only run while the
Open skill - /check
Run all configured quality checks (lint, types, tests) in one pass with terse output — reports "clean" when green, and only the failing check's output when not. Token-frugal; configured via completely.toml [check] or auto-detected per stack (front+back). Use before committing or
Open skill - /completely
Overview and entry point for the completely harness — a quality-first agent workflow unifying GSD (planning depth), Ralph (autonomous loop), and Beads (the spine), under deterministic gate hooks and a default-FAIL evaluator. Use to see what's installed, the command surface, and
Open skill - /control
Run completely UNDER CONTROL — execute the SINGLE next Beads task through the FULL task engine (understand → map → plan-check → parallel subagents → TDD → checks → reviewers → verifier → evaluator → debug-on-fail → commit → close), in this session, showing every step and pausing
Open skill - /init
Scaffold the completely thin layer into the current repository — Definition of Done, the harness rules snippet in CLAUDE.md, and an optional project-specific quality command. Use when setting up claude-harness in a new project, or when the user says "harness init", "set up the
Open skill - /plan
Plan a phase or feature DIRECTLY into Beads — no PLAN.md, no markdown bridge. Runs GSD-style socratic discovery + decomposition + a goal-backward self-check, then emits a structured plan that `cmpl plan-apply` materializes as a Beads epic + worker-contract tasks + dependency
Open skill