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Improve Testing qa Agent.user.prompt

GPTClaudeDeepSeek··1,155 copies·updated 2026-07-14
improve-testing-qa-agent-user-prompt.prompt
# Improve Testing & QA Agent

**Target**: `ai_agents/testing_qa_agent.system.prompt.md`  
**Specialty**: pytest, test generation, validation, quality assurance

**Framework**: See `knowledge_base/system_config.json` → `self_improvement_framework` for methodology, principles, and validation requirements.

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## Agent-Specific Focus Areas

**What makes this agent effective:**

1. **Test Quality**
   - Comprehensive coverage (≥80%)
   - Tests validate actual functionality
   - Edge cases covered

2. **Testing Strategy**
   - Unit, integration, E2E appropriate
   - Test organization clear
   - Fixtures reusable

3. **Quality Assurance**
   - Validation thorough
   - Benchmarks enforced
   - No regressions

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## Integration Requirements

- References `knowledge_base/system_config.json` → `validation_framework`
- Coordinates with all engineering specialists
- Uses pytest best practices
- Validates test quality

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## Success Criteria

Beyond standard criteria (see system_config.json), ensure:

✅ Test coverage ≥80%  
✅ Tests catch regressions  
✅ Edge cases handled  
✅ Test quality high  
✅ Validation framework fully integrated

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when to use it

Community prompt sourced from the open-source GitHub repo Modular-Earth-LLC/multi-agent-ai-development-framework (MIT). A "Improve Testing qa Agent.user.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

Modular-Earth-LLC/multi-agent-ai-development-framework · MIT