Browse published AI skills maintained by tbhb. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
17Repository stars across indexed skills
4Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
This skill should be used when the user asks to "create a plot", "make a chart", "visualize data", "create a heatmap", "make a scatter plot", "plot time series", "create publication figures", "customize plot st...
This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or...
This skill should be used when the user asks to "create a spec", "write a specification", "review a spec", "update a spec", "review spec organization", "split a spec", "add a page to spec", "remove a page from...
This skill should be used when the user asks to "create a skill", "write a new skill", "improve a skill description", "organize skill content", "update skill references", "update skill workflows", "review a ski...
Testing best practices for modern Python development. Activated when working with tests, pytest, Hypothesis property-based testing, Atheris fuzz testing, test coverage, test organization, or mutation testing.
GitHub Actions and CI/CD best practices for automated testing, building, and deployment.
Shell scripting best practices for bash, sh, zsh with focus on error handling, portability, and automation.
Performance profiling best practices using py-spy and other Python profiling tools. Activated when profiling code, analyzing bottlenecks, or optimizing performance.
Type safety best practices for modern Python development. Activated when working with type hints, basedpyright, typing-extensions, Protocol, TypedDict, generics, or type narrowing.
Error handling patterns including exception hierarchies, error messages, and recovery strategies. Activated when designing exceptions or error handling.
Python development best practices for modern Python projects. Activated when working with Python files, pyproject.toml, or discussing Python patterns, testing, linting, type hints.
Performance benchmarking practices using pytest-benchmark. Activated when working with benchmarks, performance testing, or optimization.
Security best practices for Python development. Activated when working with security concerns, input validation, injection prevention, or threat modeling.
Meta-skill for creating and managing Claude Code skills. Activated when creating skills, modifying skill rules, or working with the skill system.
Dataclass patterns including frozen dataclasses, slots, immutability, and value objects. Activated when designing data classes or value types.
Custom Hypothesis strategy patterns for property-based testing. Activated when designing test data generators or property tests.
Best practices for using just command runner and task automation in development workflows.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.