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taylorsatula AI Skills

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

Author statistics

Indexed skills

7

Repository stars across indexed skills

2,737

Repository forks

238

Average repository stars per indexed skill

391

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

fail-fast-no-hedging

taylorsatula

Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states. Critical for production reliability and opera...

GitHub

code-consistency-logging-standards

taylorsatula

Check Python logging levels and patterns for correctness. Focus on identifying wrong severity levels and missing exception handling. Use when reviewing code quality.

GitHub

investigate-dependencies

taylorsatula

Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Examines each import to ensure we're leveraging existing capabilities rather than reinventing functio...

GitHub

git-workflow

taylorsatula

DO NOT COMMIT unless user explicitly tells you to. Use this skill EVERY SINGLE TIME before creating a git commit. Provides mandatory commit message format, staging rules, and post-commit summary requirements fo...

GitHub

prompt-mastery

taylorsatula

Advanced LLM prompt engineering expertise for crafting highly effective prompts, system messages, and tool descriptions with Claude-specific techniques

GitHub

contextvar-opportunity-finder

taylorsatula

Detect explicit user_id parameters in functions to identify potential opportunities for using ambient context. This is an investigation tool that flags instances for human review, not a prescriptive analyzer.

GitHub

real-pytest-no-mocks-real-tests

taylorsatula

Write pytests that test real public interfaces with actual components, no mocking, and precise assertions. MIRA-specific patterns. Use when creating or reviewing tests.

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.