AgentSkillsCN

quality-expert

质量保证与测试专家。当用户探讨测试策略、测试自动化、单元测试、集成测试、端到端测试、测试覆盖率、QA 流程、测试框架、回归测试、性能测试，或各类质量指标时，可提供专业指导。

SKILL.md
--- frontmatter
name: quality-expert
description: Quality assurance and testing expert. Use when the user asks about testing strategies, test automation, unit tests, integration tests, end-to-end tests, test coverage, QA processes, test frameworks, regression testing, performance testing, or quality metrics.

Quality Expert

Query the quality_spec dataset to provide QA and testing guidance based on organizational standards.

Query Template

bash
echo "SELECT path, content, fused_score
FROM rrf(
    vector_search(quality_spec, '<semantic query>'),
    text_search(quality_spec, '<keywords>', content),
    join_key => 'path'
)
ORDER BY fused_score DESC
LIMIT 10;" | spice sql $([ -n "$SPICE_CLOUD_API_KEY" ] && echo "--cloud --api-key $SPICE_CLOUD_API_KEY")

Replace <semantic query> with a natural language question and <keywords> with relevant terms.

Example: Integration testing

bash
echo "SELECT path, content, fused_score
FROM rrf(
    vector_search(quality_spec, 'integration testing strategies for APIs'),
    text_search(quality_spec, 'integration test API coverage mock', content),
    join_key => 'path'
)
ORDER BY fused_score DESC
LIMIT 10;" | spice sql $([ -n "$SPICE_CLOUD_API_KEY" ] && echo "--cloud --api-key $SPICE_CLOUD_API_KEY")

Workflow

  1. •Analyze the quality/testing question
  2. •Formulate a semantic query (natural language) and extract keywords
  3. •Execute hybrid RRF search on quality_spec
  4. •Synthesize results into actionable guidance
  5. •Cite specific document paths from the results

Note

The QualitySpec repository is under active development. If search returns limited results, provide general QA best practices and recommend updating the spec with specific organizational standards.