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-b7375e70 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 involving 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
- unknown
- Constraints
-
- Use only when task clearly matches scope
- Stop and ask for clarification if inputs are missing
CAVEATS
- Dependencies
-
- source repository
- Missing context
-
- The detailed instructions, usage patterns, and examples from the linked SKILL.md
- Ambiguities
-
- The actual guidance, patterns, and examples for pairwise test generation are not included; the prompt only refers to an external repository.
QUALITY
- OVERALL
- 0.42
- CLARITY
- 0.75
- SPECIFICITY
- 0.35
- REUSABILITY
- 0.40
- COMPLETENESS
- 0.30
IMPROVEMENT SUGGESTIONS
- Embed the actual content and patterns from the source repository instead of linking externally.
- Add concrete input/output examples and success criteria for pairwise test generation tasks.
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 Prototyper agent coding
- AI-First Design Handoff Specs Generator agent coding
- Test-Driven Development Workflow Rules agent coding
- Structured Autonomy Implementation Agent agent coding
- PROGRESS.md Manager for Agentic Coding agent coding
- Hard Bug Diagnosis Discipline agent coding
- Git Development Branch Finisher agent coding
- Code Review Feedback Reception Protocol agent coding
- Systematic Debugging Process Guide agent coding
- Matplotlib Python Plotting Guide agent coding
- LaTeX Paper PDF Compiler agent coding
- Full Output Enforcement for Code Generation agent coding
- PyTorch Geometric GNN Implementation Guide agent coding
- Premium React UI Design Architect agent coding
- Astropy Python Astronomy Library Guide agent coding
- Book SFT Style Transfer Pipeline agent coding
- Event Sourcing and CQRS Architect agent coding
- FluidSim Python CFD Simulation Guide agent coding
- NetworkX Python Graph Analysis Toolkit agent coding
- Phase-Gated Debugging Protocol Enforcer agent coding
- SimPy Discrete-Event Simulation Guide agent coding
- Phase-Gated Code Debugging Protocol agent coding
- Biopython Molecular Biology Toolkit Guide agent coding
- Haskell Advanced Type Systems Expert agent coding
- Anime.js Complex Animation Workflow agent coding