Skip to content

Preparing Archive

Core
6d 1h ago
Reviewed

context7-auto-research

Automatically fetch latest library/framework documentation for Claude Code via Context7 API

.agents/skills/context7-auto-research TypeScript
TY
JA
BA
4+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."

context7-auto-research

Overview

Automatically fetch latest library/framework documentation for Claude Code via Context7 API

When to Use

  • When you need up-to-date documentation for libraries and frameworks
  • When asking about React, Next.js, Prisma, or any other popular library

Installation

npx skills add -g BenedictKing/context7-auto-research

Step-by-Step Guide

  1. Install the skill using the command above
  2. Configure API key (optional, see GitHub repo for details)
  3. Use naturally in Claude Code conversations

Examples

See GitHub Repository for examples.

Best Practices

  • Configure API keys via environment variables for higher rate limits
  • Use the skill's auto-trigger feature for seamless integration

Troubleshooting

See the GitHub repository for troubleshooting guides.

Related Skills

  • tavily-web, exa-search, firecrawl-scraper, codex-review

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/context7-auto-research

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
0%
1
0%
No explicit validation signals were parsed for this skill yet, but the module remains available for inspection and chat launch.

Recommended for this workflow

Adjacent modules that complement this skill surface

Loading content
Cart