skill-researcher

Delegate research tasks to AI agents for web, documentation, and codebase information.

3|1|Updated May 21, 2024
One-click install
npx skills add https://github.com/benbrastmckie/.dotfiles --skill skill-researcher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-researcher
Source: https://github.com/benbrastmckie/.dotfiles/tree/main/.claude/skills/skill-researcher
Command: npx skills add https://github.com/benbrastmckie/.dotfiles --skill skill-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes and accelerates information gathering by delegating broad research tasks to AI-powered agents, enabling rapid synthesis of web, documentation, and codebase findings.

Core Features & Use Cases

  • Automated web and codebase research: Retrieve relevant patterns, references, and best practices from online sources and internal repos.
  • Structured synthesis & reporting: Compile findings into a coherent report with metadata for traceability.
  • Use Case: Plan a new feature by researching design patterns, implementation strategies, and potential pitfalls, then generate a summarized report with actionable recommendations.

Quick Start

Invoke the skill with a general research focus prompt. Example: "Research best practices for evaluating open-source libraries for a new feature," then review the generated report and artifacts in specs/{N}_{SLUG}/reports/.

Frequently Asked Questions about skill-researcher

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

FAQPage Schema
How do I automate web research and codebase synthesis for architecture planning?

Automated web research and codebase synthesis for architecture planning is handled by delegating research tasks to AI agents, gathering relevant patterns and references to compile into a structured report with actionable recommendations.

What is the best way to generate a report on open-source libraries for a new feature?

Generating a report on open-source libraries involves delegating the research focus to AI agents, retrieving best practices and implementation strategies to synthesize findings into a summarized report with metadata for traceability.

Can I use this to research documentation and codebase information without external software?

Researching documentation and codebase information requires no external software beyond the existing agent ecosystem and standard web access, enabling retrieval of relevant patterns and best practices across multiple domains.

How do I compile research findings into a coherent report with metadata?

Compiling research findings into a coherent report with metadata is achieved by standardizing information gathering, allowing AI agents to synthesize web and codebase findings into structured artifacts within designated report directories.

Does this approach support planning and documentation tasks across multiple domains?

Planning and documentation tasks across multiple domains are supported by delegating broad research focuses to AI agents, enabling rapid synthesis of web, documentation, and codebase findings for architecture decisions.