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anam-org AI Skills

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Browse published AI skills maintained by anam-org. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

126

Repository forks

12

Average repository stars per indexed skill

21

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

narwhals

anam-org

Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.

GitHub

metaxy

anam-org

This skill should be used when the user asks to "define a feature", "create a BaseFeature class", "track feature versions", "set up metadata store", "field-level dependencies", "FieldSpec", "FeatureDep", "run m...

GitHub

claude-improve-config

anam-org

Self-reflect on the current session to identify mistakes and propose improvements to .claude configuration (CLAUDE.md, hooks, skills).

GitHub

hypothesis

anam-org

Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. Includes Polars parametric testing inte...

GitHub

syrupy

anam-org

Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.

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.