Scan installed SKILL.md frontmatter and rank skills by relevance to a user task.
npx skills add https://github.com/nonlinear/skills --skill use-for
Please help me install this Agent Skill. Skill: use-for Source: https://github.com/nonlinear/skills/tree/main/use-for Command: npx skills add https://github.com/nonlinear/skills --skill use-for
This frontmatter-driven tool analyzes installed SKILL.md entries to surface the most relevant skills for a user's current task by scanning use_for descriptions and presenting top matches with contextually relevant metadata.
Ask your AI assistant to show me the best skills for organizing a project plan and it will return top matches with names and descriptions.
High-intent search queries and answers about installing and using this skill.
To discover AI assistant skills, this tool scans local SKILL.md frontmatter to extract use_for descriptions, compares your task context against each entry, and ranks candidates by relevance to return a concise list of top matches.
Yes, you can search your local skill inventory by asking your AI assistant a natural language question, which triggers a frontmatter scan of installed SKILL.md files to match your query context against use_for metadata and surface relevant skills.
Metadata-driven skill discovery ranks results by comparing your provided context against the use_for descriptions and names found in local SKILL.md frontmatter, generating a relevance-ordered list of candidate skills with their names and descriptions.
No external dependencies are required to scan installed SKILL.md frontmatter, as the tool operates entirely on your local skill base to extract metadata, evaluate use_for descriptions, and return ranked candidate skills without external packages.
The best way to find a skill for organizing a project plan is to ask your AI assistant directly, prompting the tool to scan local SKILL.md frontmatter, evaluate use_for descriptions, and return top ranked matches with their names and summaries.
A local skill search returns no matching candidates when installed SKILL.md files lack use_for descriptions in their frontmatter, preventing the tool from extracting the necessary metadata to compare against your task context and rank results.
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