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qa-skills

Workflow Updated 2026.08.27

Run the following command in DeepSeek Harness:

dsh plugin install fishzjp/qa-skills

Paste the following prompt into your AI chat to install this plugin:

To install this plugin in DeepSeek Harness, please run the command `dsh plugin install fishzjp/qa-skills`, and you can access the full source code at https://github.com/fishzjp/qa-skills .

About this plugin

AI-assisted testing often falls into the trap of generating professional-looking but unexecutable test cases filled with vague assertions and placeholders, while lacking genuine strategic decision-making. qa-skills is built to solve this pain point, empowering AI agents to think and work like senior QA engineers through a structured instruction framework.

Driven by a Knowledge × Tools × Decision architecture, this framework orchestrates a comprehensive 9-stage testing pipeline. It introduces a rigorous Type Decision Matrix and an Evidence & Risk Model to ensure every strategy is auditable and comprehensively scoped. With a file-as-state design, it overcomes long-context limitations and supports interrupted workflows, ultimately delivering both human-readable mind maps and machine-executable assets.

Whether you are a developer leveraging AI coding agents like Claude Code, Cursor, or DeepSeek Harness, or a QA team aiming to deeply integrate AI into testing workflows, qa-skills helps you build highly executable, end-to-end traceable automated testing pipelines, unlocking AI's true potential in quality assurance.

Screenshots

Use Cases

  • Automatically generate executable test cases and mind maps from requirement documents
  • Analyze code change risks and intelligently formulate end-to-end testing strategies
  • Convert existing manual test cases into Playwright automation scripts

Best For

  • Software engineers using AI agents like Claude Code or Cursor
  • QA engineers looking to improve test case writing and review efficiency with AI
  • Technical leads dedicated to building AI-driven automated testing pipelines