Qa
Skill Verified ActiveInteractive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".
To streamline the bug reporting and QA process by enabling users to interact with an AI agent to identify, document, and file GitHub issues conversationally.
Features
- Interactive QA session with conversational bug reporting
- Background codebase exploration for context and domain language
- Automated filing of durable GitHub issues
- Support for breaking down complex issues into multiple trackable items
- Use of project-specific domain language in issue descriptions
Use Cases
- Users reporting bugs or issues conversationally
- Performing Quality Assurance tasks with AI assistance
- Filing well-documented GitHub issues based on observed problems
- When a user explicitly mentions needing a 'QA session'
Non-Goals
- Finding or implementing fixes for reported issues
- Performing deep code reviews beyond context gathering
- Replacing manual QA entirely; serves as an aid
- Directly modifying or committing code
Installation
npx skills add mattpocock/skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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