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Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. Start with the skills.sh registry via `npx skills find`; if there are no good matches, fall back to a GitHub deep search for SKILL.md patterns before concluding no skill exists.
4 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 6 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Perform a search for a highly specific skill handling esoteric quantum circuit optimization in OpenQASM 2.0. If no matching skill is found anywhere after checking registry and GitHub, how should you respond? Provide the output report covering query searched, registry status, GitHub fallback status, best candidate if found, and install command or direct status statement.
| Checked | Without skill | With skill |
|---|---|---|
| The response plainly states that no matching candidate exists when both the primary search and fallback return no results. | Passed | Passed |
| The search command includes "DISABLE_TELEMETRY=1". | Missed | Passed |
The instructions your model reads when the skill loads.
This skill discovers reusable skills before you reinvent one locally. The preferred route is fast registry search first, then a GitHub-aware fallback only if the registry does not surface a good candidate.
npx skills find <query> and use a concrete query, not an empty interactive search.Use when:
Do not use when:
DISABLE_TELEMETRY=1 npx -y skills find <query>.npx -y skills add.test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.