gather-documentation

What problem does it solve?

This Skill helps you systematically gather and structure reference material for building skills or researching technologies without inventing details.

Core Features & Use Cases

• LLM-consumable doc ingestion: checks for llms-full.txt / llms.txt and prioritizes llms-full.txt as complete ground truth.
• Discovery → Retrieval → Synthesis pipeline: identifies official docs and relevant GitHub sources, retrieves authoritative content, then synthesizes it into skill-ready material.
• Fabrication-safe verification: audits every specific technical claim (API names, payload fields, defaults, error codes) against fetched sources.

Real-world example

Researching an unfamiliar API by first ingesting its llms-full.txt (when available), then adding GitHub repo patterns and issue gotchas, and finally producing a structured skill outline that only includes claims verified from retrieved sources.

Quick Start

Tell the AI: Gather documentation for the technology by first checking for llms-full.txt and llms.txt at the official docs site, then retrieve the key official pages and supporting GitHub examples, and finally verify that each technical claim in the output is traced to retrieved sources.