Does this skill write the actual test code?

No, this skill focuses exclusively on the research and discovery phase. It provides the documentation and insights needed for manual testers (ln-522) and automated test planners (ln-523) to create better coverage.

When should I use the Test Researcher skill?

Use it at the start of a test planning pipeline for non-trivial features involving external APIs, complex logic, or specific data formats where edge cases might not be obvious.

Where does the skill gather its research from?

It uses a combination of Web Search, MCP documentation references, and Context7 to scan technical documentation, competitor sites, and community forums like Reddit and StackOverflow.

Does it work with project management tools other than Linear?

Currently, the ln-521-test-researcher is optimized for Linear integration, posting structured markdown findings directly to the relevant story.

AI Test Research Assistant

Name: AI Test Research Assistant
Author: levnikolaevich

bylevnikolaevich

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147

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Security & Testing

Conducts deep research into real-world edge cases, competitor solutions, and customer pain points to ensure comprehensive test coverage.

This skill streamlines the pre-testing phase by automating technical and competitive research for specific software features. It leverages web search and documentation tools to identify common failure modes, API 'gotchas,' and actual user frustrations found on platforms like Reddit or StackOverflow. By documenting these findings directly into Linear, it provides a solid foundation for manual and automated test planning, ensuring that the resulting test suites address real-world usage scenarios rather than just basic acceptance criteria.

Key Features

01Identification of real-world edge cases and technical 'gotchas'

02Competitor UX and implementation pattern analysis

03Automated multi-source research using Web Search and MCP documentation tools

04Structured Linear comment generation with source attribution

05Extraction of actionable test case recommendations for downstream QA teams

06147 GitHub stars

Use Cases

01Discovering edge cases for complex API integrations or new file format handlers

02Benchmarking feature implementations against market-leading competitors

03Validating that new features address known customer complaints found in public forums

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add levnikolaevich/claude-code-skills ln-521-test-researcher

For use in Claude.ai and ChatGPT

Download Skill