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research-docs

Retrieve coding documentation and persist structured findings to research files.

2|Updated Nov 18, 2025
One-click install
npx skills add https://github.com/dkmaker/ida-ai --skill research-docs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-docs
Source: https://github.com/dkmaker/ida-ai/tree/main/.claude/skills/research-docs
Command: npx skills add https://github.com/dkmaker/ida-ai --skill research-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, jq, and includes scripts (resource) components.

What problem does it solve?

This Skill helps teams and developers quickly locate and compile authoritative coding documentation, automatically checking existing research before performing new lookups to avoid duplication and wasted API calls.

Core Features & Use Cases

  • Memory-aware research: always consults research/CLAUDE.md to reuse prior work.
  • AI-Optimized persistence: stores results in research/<topic>.md with a consistent, structured format.
  • Documentation-focused: prioritizes official docs and trusted sources to provide reliable guidance.

Quick Start

Ask Claude Code to "research Python asyncio best practices" and the skill will check existing research, fetch docs from Perplexity, and save results to research/<topic>.md.

Frequently Asked Questions about research-docs

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

FAQPage Schema
How do I automate finding and organizing coding documentation for APIs and frameworks?▼

Automate coding documentation research by asking Claude Code to research a topic—the Skill checks existing research files to avoid duplication, fetches authoritative docs via Perplexity, and saves structured findings to research/<topic>.md with code examples and AI-optimized sections.

Can I reuse previous documentation research to avoid redundant lookups?▼

Yes, the Skill maintains memory context by consulting research/CLAUDE.md before each new research task, reusing prior work and preventing wasted API calls on duplicate documentation searches.

What sources does this Skill prioritize when researching coding documentation?▼

The Skill prioritizes official documentation, GitHub repositories, and authoritative references to compile reliable guidance on APIs, frameworks, libraries, and coding patterns into structured markdown files.

How is the research output formatted for use with AI tools?▼

Research results are stored in research/<topic>.md with consistent, AI-optimized sections including structured code examples, making findings immediately usable for further analysis and integration with Claude Code workflows.

What dependencies does this documentation research automation require?▼

The Skill requires curl for fetching remote documentation and jq for parsing JSON responses from Perplexity, enabling reliable data extraction and formatting during the research process.

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