Agent skill · research science · sickn33
pypict-skill
Pairwise test generation
Why this skill is useful
Codifies pairwise test generation patterns that the AI could infer but now doesn't have to guess.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Pypict Skill Overview Pairwise test generation When to Use Design a small test matrix covering every pair of values across discrete factors, when exhaustive combinations are too costly and pairwise coverage is appropriate. Procedure 1. Define factors, permitted values and real invalid-combination constraints. 2. Inspect an actual installed pairwise generator and its supported input format; this entrypoint does not bundle a Python package or executable. 3. Generate candidate rows and independently enumerate covered valid value pairs. Missing pairs must remain visible; constraints must not be invented to hide them. 4. Convert rows into tests with expected behavior, not just input combinations. For three binary factors, this illustrative matrix covers all two-factor pairs: Pair coverage is not correctness or coverage of three-way interactions. Add known boundary, authorization and failure cases separately. Example User request: Use @pypict-skill for this task: Pairwise test generation. 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.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/pypict-skill--c41837