llm-api-docs

Collect LLM API documentation from providers using Playwright MCP into Markdown summaries.

1|Updated Jan 12, 2026
One-click install
npx skills add https://github.com/fnf-ax-team/CC_ax_team --skill llm-api-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-api-docs
Source: https://github.com/fnf-ax-team/CC_ax_team/tree/main/skills/llm-api-docs
Command: npx skills add https://github.com/fnf-ax-team/CC_ax_team --skill llm-api-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the collection and normalization of official LLM API documentation from providers, ensuring up-to-date details on models, pricing, and features.

Core Features & Use Cases

  • Dynamic web scraping: Uses Playwright MCP to resolve client-side rendering and capture structured model data.
  • Cross-provider coverage: Targets Gemini, Claude, Grok, and OpenAI API docs with consistent output.
  • Output-ready format: Produces a standardized Markdown document per provider with sections for models, pricing, and usage limits.

Quick Start

Example: "Gemini API 문서 가져와줘" to start collecting Gemini docs. The skill navigates to the correct page, waits for content to render, captures a DOM snapshot, and saves the results to gemini_api_docs_YYYYMMDD.md. Subsequent requests can fetch other providers in the same fashion.

Frequently Asked Questions about llm-api-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scrape official LLM API documentation for models and pricing?

To scrape official LLM API documentation for models and pricing, this Skill uses Playwright MCP to dynamically render provider pages and capture structured DOM snapshots. It targets Gemini, Claude, Grok, and OpenAI, outputting normalized Markdown files summarizing models, pricing, and limits.

What is the best way to automate collecting OpenAI and Claude API docs into Markdown?

Automating the collection of OpenAI and Claude API docs into Markdown is best handled by using Playwright MCP for dynamic web scraping. This approach resolves client-side rendering and produces standardized Markdown documents with sections for models and usage limits.

Do I need a Playwright MCP setup to scrape Gemini API documentation?

Yes, you need a Playwright MCP setup, including a project .mcp.json file, to scrape Gemini API documentation. This environment is required to handle dynamic page rendering and capture structured model data across providers.

Can I fetch Grok API pricing and usage limits using web scraping?

Yes, you can fetch Grok API pricing and usage limits using web scraping with Playwright MCP. The Skill navigates to the correct provider page, waits for content to render, and saves the structured results to a Markdown file.

Why does scraping LLM API documentation fail with static HTTP requests?

Scraping LLM API documentation fails with static HTTP requests because provider pages rely on client-side rendering. Playwright MCP resolves this by executing JavaScript to render content dynamically before capturing the DOM snapshot.