← ClaudeAtlas

find-skillslisted

Find reusable skills from the vercel-labs/skills registry (especially by task keywords), evaluate fit, and suggest how to install/adapt them for MicroClaw.
SALDAPAL/microclaw · ★ 1 · AI & Automation · score 75
Install: claude install-skill SALDAPAL/microclaw
# Find Skills (vercel-labs/skills) Use this skill when users ask: - "Do we already have a skill for X?" - "Find skills for <task>" - "What existing skill can I reuse instead of writing from scratch?" Primary source: - https://github.com/vercel-labs/skills ## Discovery workflow 1. Clarify the target task in one sentence. 2. Search the registry by keywords (task, toolchain, framework, platform). 3. For each candidate skill, extract: - Skill name/path - What problem it solves - Required tools/dependencies - Any platform assumptions 4. Recommend one best-fit skill and one fallback. 5. If none fit exactly, propose adaptation steps for MicroClaw. ## Useful commands Search repo metadata quickly: ```bash curl -s "https://api.github.com/repos/vercel-labs/skills/contents" ``` Search issues/paths by keyword (example): ```bash curl -s "https://api.github.com/search/code?q=repo:vercel-labs/skills+keyword" ``` Fetch raw README/skill docs when needed: ```bash curl -sL "https://raw.githubusercontent.com/vercel-labs/skills/main/README.md" ``` ## Output format When returning results, use this structure: 1. Best match 2. Why it fits 3. Requirements 4. Install/adapt steps for MicroClaw 5. Alternative options ## MicroClaw adaptation hints - Convert upstream skill metadata to local `SKILL.md` frontmatter (`name`, `description`, optional `platforms`/`deps`). - Keep instructions actionable with `bash`, file tools, and existing MCP tools. - If upstream skill assumes anoth