Agent skill · Backend & API

documentation-lookup

Use when the user needs current library, framework, or API documentation and version-specific code examples.

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill documentation-lookup --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: bundled/skills/documentation-lookup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Documentation Lookup Use current official documentation instead of relying on memory when the answer depends on a library, framework, API, or version. ## Workflow 1. Identify the exact project, package, and version from the request or local dependency files. 2. Prefer an installed documentation set, package source, or purpose-built connector, API, or CLI that reaches the official primary source.

More from Vibe-Skills
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About this skill
What does the documentation-lookup skill do?

Use when the user needs current library, framework, or API documentation and version-specific code examples.

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill documentation-lookup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going