📊 An open, reproducible benchmark for AI professional-work quality.

Everyone ships "AI skills." Almost nobody measures whether the output is any good. This is an open benchmark that does — think of it as a SWE-bench for professional work: PRDs, OKRs, roadmaps, postmortems, GTM plans and more, scored on a fixed rubric by an LLM judge.

🏆 See the live leaderboard Methodology & code ↗ 📝 Grade your own work

## How it's scored

For each skill, a representative held-out case is run, then a judge model rates the output 1–5 on four dimensions:

Structure — follows the expected shape for this kind of artifact.
Completeness — covers what the task needs; nothing important missing.
Usefulness — specific and genuinely useful to a professional, not generic.
Grounding — stays grounded in the input; no invented facts or metrics.

## Why it's credible

1. Reproducible & open. The harness, cases, and results are in the repo — run it yourself with `node evals/run-evals.mjs`.
2. Blind to the author. The judge sees the skill's stated purpose and the output, not the model or author name.
3. It catches real failures. A recent run flagged three skills at ~2.0/5; a fix lifted them to 4.75/5. Scores move when quality moves.
4. Honest coverage. 15 of 180 skills are scored today and the set is growing — we don't claim a number we can't show.

## Submit your skill to the benchmark

The benchmark is open. To get a skill scored:

1. Open a PR adding `skills/<name>/SKILL.md` and a case in `evals/cases.json` (or use the submit-a-skill form).
2. The PR check validates structure and scores the changed skill automatically, posting the result on your PR.
3. Skills that clear the bar (aim for ≥ 4.0/5) get merged and appear on the leaderboard.

→ View the current standings