How does it validate solutions?

Claude uses tools like Bash to test commands and WebFetch to verify documentation syntax in real-time before presenting a recommendation.

Can Claude still ask me questions with this skill enabled?

Yes, but Claude will focus its questions on your personal preferences or high-level architectural choices rather than facts it can discover itself.

What does the Research First skill do?

It instructs Claude to investigate the codebase and external documentation to answer its own questions before prompting the user for factual information.

Does this skill work with other Claude skills?

Yes, it is designed to integrate with debugging-methodology and critical-peer to provide evidence-based analysis and high-confidence outputs.

Why should I use Research First?

It minimizes repetitive 'lazy' questions from the AI, reduces the need for manual context-sharing, and significantly increases the reliability of suggested code snippets.

Research First

Name: Research First
Author: jagreehal

byjagreehal

生産性とワークフロー

Enforces a research-driven approach to coding by validating solutions and autonomously gathering project context before asking for user input.

概要

Research First transforms Claude into a proactive investigator that prioritizes evidence-based recommendations over assumptions. By mandating the use of tools like Grep, WebFetch, and Bash to verify facts, it ensures that Claude never asks 'lazy' questions about versioning or project structure that are already present in the codebase. This skill is essential for reducing user friction and ensuring that every suggested solution is tested, compatible with the current environment, and aligned with official documentation.

主な機能

Rigorous Research Protocol: Follows a structured sequence of understanding, investigation, and validation for every task.
Uncertainty Disclosure: Explicitly states confidence levels to prevent misleading users with unverified information.
Autonomous Context Gathering: Automatically searches codebases and documentation for factual answers.
0 GitHub stars
Pre-proposal Validation: Tests commands and syntax in the local environment before suggesting them to the user.
Preference-Focused Inquiry: Shifts user interactions from factual questions to higher-level design and preference decisions.

ユースケース

Implementing new libraries by researching official documentation and existing codebase patterns autonomously.
Troubleshooting complex dependency issues where version compatibility must be verified via package files.
Refactoring code where the AI needs to understand existing architectural patterns without developer intervention.

概要

主な機能

Rigorous Research Protocol: Follows a structured sequence of understanding, investigation, and validation for every task.
Uncertainty Disclosure: Explicitly states confidence levels to prevent misleading users with unverified information.
Autonomous Context Gathering: Automatically searches codebases and documentation for factual answers.
0 GitHub stars
Pre-proposal Validation: Tests commands and syntax in the local environment before suggesting them to the user.
Preference-Focused Inquiry: Shifts user interactions from factual questions to higher-level design and preference decisions.

ユースケース

Implementing new libraries by researching official documentation and existing codebase patterns autonomously.
Troubleshooting complex dependency issues where version compatibility must be verified via package files.
Refactoring code where the AI needs to understand existing architectural patterns without developer intervention.