Summary
This pulls real-world problems and edge cases before you write tests, so you're not just checking acceptance criteria in a vacuum. It searches for common gotchas with the tech stack, how competitors handle the same feature, and what users actually complain about on Stack Overflow and Reddit. Then it drops a structured comment on your story with sourced findings and suggested test cases. Good for anything non-trivial like API integrations or file format handling. Skip it for simple CRUD where the AC tells you everything. The research comment feeds into both manual and automated test planning steps downstream, which is the real point of gathering this stuff upfront.
Install to Claude Code
npx -y skills add levnikolaevich/claude-code-skills --skill ln-521-test-researcher --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
