admin-valentin/awesome-claude-skills
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Merge pull request #3 from omkamal/pairwise-testing-skill

Browse source 
Add pypict-claude-skill to Development & Code Tools
This commit is contained in:
Behi 2025-10-20 13:56:18 +03:30 committed by GitHub
commit 46cec2954e
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 4 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

7
README.md
View file

@ -21,11 +21,12 @@
## 🛠 Development & Code Tools
- [artifacts-builder](https://github.com/anthropics/skills/tree/main/artifacts-builder) - Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui).
- [test-driven-development](https://github.com/obra/superpowers/tree/main/skills/test-driven-development) - Use when implementing any feature or bugfix, before writing implementation code
## 🛠 Development & Code Tools
- [artifacts-builder](https://github.com/anthropics/skills/tree/main/artifacts-builder) - Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui).
- [test-driven-development](https://github.com/obra/superpowers/tree/main/skills/test-driven-development) - Use when implementing any feature or bugfix, before writing implementation code
- [using-git-worktrees](https://github.com/obra/superpowers/blob/main/skills/using-git-worktrees/) - Creates isolated git worktrees with smart directory selection and safety verification.
- [finishing-a-development-branch](https://github.com/obra/superpowers/tree/main/skills/finishing-a-development-branch) - Guides completion of development work by presenting clear options and handling chosen workflow.
- [pypict-claude-skill](https://github.com/omkamal/pypict-claude-skill) - Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for requirements or code, generating optimized test suites with pairwise coverage.