research

Gather and synthesize context from documentation, code examples, and web resources.

3|1|Updated Dec 17, 2013

Search Tags:#planning #documentation #research #web-research #code-examples #context-gathering

Ready to run

npx skills add https://github.com/jmreicha/configs --skill research-jmreicha

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/jmreicha/configs/tree/main/skills/research
Command: npx skills add https://github.com/jmreicha/configs --skill research-jmreicha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables systematic gathering and synthesis of context from documentation, code examples, and web resources to inform feature decisions and reduce implementation risk.

Core Features & Use Cases

Documentation research: Identify official docs, version notes, and references relevant to a feature.
Code examples: Locate real-world implementations demonstrating patterns and edge cases.
Web research: Gather community insights, best practices, and trade-offs to complement official sources.
Structured findings: Produce clear, source-attributed conclusions that guide design and implementation choices.

Quick Start

Provide a feature goal and constraints, then initiate the three-phase research: gather references, query docs, locate code samples, and perform web research.

Frequently Asked Questions about research

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

FAQPage Schema

How do I gather context from official documentation before implementing a new feature?▼

To gather context for feature implementation, this skill autonomously queries official documentation, version notes, and references, synthesizing structured findings with explicit sources and actionable recommendations to reduce implementation risk.

What is the best way to research code examples for architectural decisions across libraries?▼

Researching code examples for architectural decisions is handled by locating real-world implementations that demonstrate patterns and edge cases, complementing official documentation with community insights and trade-off analysis.

Can I use structured research to compare technologies and frameworks for feature planning?▼

Yes, structured research supports technology selection during feature planning by gathering multi-source context from web resources and documentation, producing clear conclusions with trade-offs to guide engineering decisions.

How do I produce source-attributed findings for engineering design choices?▼

Producing source-attributed findings involves a three-phase research process that gathers references, queries documentation, and locates code samples, enforcing structured reporting with explicit sources and actionable recommendations.

Does web research for feature planning require providing constraints upfront?▼

Web research for feature planning requires you to provide a feature goal and constraints before initiating the three-phase process of gathering references, querying documentation, and performing web research.

Why do I need structured reporting when researching context for new functionality?▼

Structured reporting during context research ensures that trade-offs, explicit sources, and actionable recommendations are clearly documented, reducing implementation risk and directly guiding engineering and design decisions.