agent coding skill risk: low
Pypict Pairwise Test Generation Guide
Provides guidance and patterns for pairwise test generation, including when to use the skill and its limitations.
SKILL 1 file
SKILL.md
--- name: antigravity-awesome-skills-pypict-skill description: "Pairwise test generation" --- # Pypict Skill ## Overview Pairwise test generation ## When to Use This Skill Use this skill when you need to work with pairwise test generation. ## Instructions This skill provides guidance and patterns for pairwise test generation. For more information, see the [source repository](https://github.com/omkamal/pypict-claude-skill/blob/main/SKILL.md). ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
REQUIRED CONTEXT
- task description for pairwise test generation
ROLES & RULES
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
EXPECTED OUTPUT
- Format
- plain_text
- Constraints
- use only when task clearly matches scope
- stop and ask for clarification if inputs missing
CAVEATS
- Missing context
- Actual patterns, examples, or usage instructions for pypict
- Input/output format expectations
- Ambiguities
- Does not provide the actual guidance or patterns for pairwise test generation, only refers to external link.
QUALITY
- OVERALL
- 0.50
- CLARITY
- 0.75
- SPECIFICITY
- 0.35
- REUSABILITY
- 0.65
- COMPLETENESS
- 0.40
IMPROVEMENT SUGGESTIONS
- Embed concise usage examples or parameter patterns directly in the Instructions section instead of deferring entirely to the external repository.
- Add a brief 'Success Criteria' subsection under Instructions to define what constitutes a valid pairwise test output.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
MORE FOR AGENT
- Rapid App MVP Prototyperagentcoding
- AI-First Design Handoff Specs Generatoragentcoding
- Test-Driven Development Workflow Rulesagentcoding
- Structured Autonomy Implementation Agentagentcoding
- PROGRESS.md Manager for Agentic Codingagentcoding
- Hard Bug Diagnosis Disciplineagentcoding
- Git Development Branch Finisheragentcoding
- Code Review Feedback Reception Protocolagentcoding
- Systematic Debugging Process Guideagentcoding
- Matplotlib Python Plotting Guideagentcoding
- LaTeX Paper PDF Compileragentcoding
- Full Output Enforcement for Code Generationagentcoding
- PyTorch Geometric GNN Implementation Guideagentcoding
- Premium React UI Design Architectagentcoding
- Astropy Python Astronomy Library Guideagentcoding
- Book SFT Style Transfer Pipelineagentcoding
- Event Sourcing and CQRS Architectagentcoding
- FluidSim Python CFD Simulation Guideagentcoding
- NetworkX Python Graph Analysis Toolkitagentcoding
- Phase-Gated Debugging Protocol Enforceragentcoding
- SimPy Discrete-Event Simulation Guideagentcoding
- Phase-Gated Code Debugging Protocolagentcoding
- Biopython Molecular Biology Toolkit Guideagentcoding
- Haskell Advanced Type Systems Expertagentcoding
- Anime.js Complex Animation Workflowagentcoding