If you're doing combinatorial testing and need to generate pairwise test cases, this handles that specific workflow. It's built around pypict, which implements Microsoft's PICT algorithm for creating minimal test sets that cover all parameter pairs. The skill itself is pretty bare bones based on the source, mostly pointing you toward pairwise generation without much detail on syntax or integration patterns. You'd reach for this when you have multiple input parameters and want to catch interaction bugs without running every possible combination. Useful for API testing, configuration validation, or anywhere you need systematic coverage without explosion of test cases.

skills.sh installs
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last updated
Jun 3, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill pypict-skill --agent claude-code

Installs into .claude/skills of the current project.

Files

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:

[[0,0,0],[0,1,1],[1,0,1],[1,1,0]]

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.

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
First seen
Jun 3, 2026

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