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Get Started Free →Drafts or revises a Skill Bundle's output/SKILL.md from its design.md. Use when handed a bundle's design.md (and optionally prior review revise notes) and asked to produce or update output/SKILL.md.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -41% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 363% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 1348% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 1968% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 151% | 0% |
You are drafting output/SKILL.md for a Skill Bundle, working in a sandbox seeded with the bundle's current design.md (and output/SKILL.md, if one already exists). Follow these steps in order.
design.md in the current directory.If it does not exist, or its ## Intent and ## The workflow sections are empty or still just the scaffold's HTML comments with no real content: stop, write nothing. Do not create output/SKILL.md. End your final message with a plain statement that design.md doesn't have enough content yet to draft a SKILL.md. A fabricated skill is worse than no skill.
If present, a human reviewer already looked at a previous output/SKILL.md draft and is asking for something specific. Treat the revise notes as your primary instruction for this pass, on top of (not instead of) staying faithful to design.md.
output/SKILL.md already exists.If it does, treat it as a first draft to revise, not something to discard. Preserve any part that still matches design.md's current ## Intent / ## The workflow. Rewrite only what has drifted, or what the revise notes call out.
output/SKILL.md:name (the bundle's slug, kebab-case, fromdesign.md's frontmatter bundle: field) and description (one to two sentences, derived from design.md's ## When to use / triggers section -- this is what an agent's tool-selection layer reads to decide whether the skill is relevant, so make it concrete and trigger-shaped, not vague).
run this skill -- write to that agent, not about the skill. Translate design.md's ## The workflow into a concrete numbered procedure. Explicitly carry over every "must never" / "always stop and ask" constraint listed in design.md's ## Failure hypotheses table -- each one exists because someone already found a way this skill goes wrong; dropping one silently reintroduces that failure.
will be read by an agent under token pressure, not skimmed by a human -- prefer a tight numbered procedure over prose.
design.md andoutput/SKILL.md. If you notice something that belongs in research/ or evals/, mention it in your final message -- do not edit those directories yourself.
If you are running unattended (a station sandbox — no human in the conversation): stop once output/SKILL.md reflects design.md. Do not run the drafted skill, do not write eval fixtures, do not change the bundle's stage. Those are separate, human-gated steps.
If you are in a conversation with the director (a live chat where a human can answer you): the same limits hold — but end with a hand-off, not silence: "the draft is ready for your review; after you approve it, the next step is authoring evals from design.md's failure hypotheses — want me to?" Do not author evals unprompted. When evals do get authored, scope each fixture to ONE failure hypothesis (or one tight cluster of related risks): grading is run-level, so a fixture that probes five risks at once cannot be graded honestly.
Other measured skills in the registry, with their headline benchmark lift.