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Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

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analyze-test-failures Use when analyzing failing test cases to determine whether failures indicate genuine bugs or test implementation issues. Activates on "analyze failing tests", "debug test failures", "investigate test errors", or when provided with specific failing test names or output. Applies balanced investigative reasoning — does not auto-fix tests without establishing root cause.
Jamie-BitFlight/claude_skills 33
comprehensive-test-review Use when reviewing pytest test suites for coverage, isolation, mock usage, naming conventions, or completeness. Activates on requests like "review test coverage", "audit test quality", or "check tests for completeness". Performs thorough checklist-driven review for test isolation, mock correctness, AAA pattern adherence, and naming standards.
Jamie-BitFlight/claude_skills 33
stinkysnake Progressive Python quality improvement with static analysis, type refinement, modernization planning, plan review, and test-driven implementation. Use when addressing technical debt, eliminating Any types, applying modern Python patterns, or refactoring for better design.
Jamie-BitFlight/claude_skills 33
python3-packaging Configure pyproject.toml and Python packaging for distribution. Use when setting up a new Python package, when configuring build tools and dependencies, or when preparing a project for PyPI publishing.
Jamie-BitFlight/claude_skills 33
uv Use when working with Astral's uv — managing Python project dependencies, creating PEP 723 scripts, installing tools, managing Python versions, configuring package indexes, or migrating from pip/poetry. Covers project initialization, virtual environments, workspace configuration, and CI/CD integration.
Jamie-BitFlight/claude_skills 33
modernpython Use when reviewing Python code for modernization opportunities, writing new Python 3.11+ code to ensure modern patterns, or refactoring legacy code to current idioms. Covers proper types, DRY, SRP, framework patterns, and idiomatic Python improvements.
Jamie-BitFlight/claude_skills 33
python3-add-feature Guided workflow for adding new features to Python projects. Use when planning a new feature implementation, when adding functionality with proper test coverage, or when following TDD to build features incrementally.
Jamie-BitFlight/claude_skills 33
typer-and-rich Use when building Typer/Rich CLI applications or reviewing existing CLI code for correctness. Activates on requests involving Rich table rendering, console output handling, testing Rich-formatted output, or Typer command wiring. Prevents common AI mistakes — Rich table wrapping in non-TTY contexts, incorrect stderr/stdout separation, and integration pitfalls. Load alongside the typer and rich API reference skills.
Jamie-BitFlight/claude_skills 33
python3-publish-release-pipeline Set up CI/CD pipeline for Python package publishing to PyPI. Use when preparing to publish a package, when setting up automated releases, or when configuring GitHub Actions or GitLab CI for Python projects.
Jamie-BitFlight/claude_skills 33
textual Use when building Textual TUI apps — creating widgets, laying out screens, handling events, managing reactivity, testing with Pilot, or running background workers. Covers App lifecycle, CSS styling, screen stack, reactive attributes, custom messages, actions, bindings, and the Worker API.
Jamie-BitFlight/claude_skills 33
python3-development-meta-docs Python 3 development plugin documentation index. Load when needing to read about Python implementation patterns, task file conventions, or stdlib scripting.
Jamie-BitFlight/claude_skills 33
use-command-template Use when creating new Claude Code skills following established patterns and templates. Activates on "create a new skill", "add a skill to plugin", or "write skill from template" requests. Note — commands are deprecated; this skill creates SKILL.md files instead. Produces correctly structured skill files with valid frontmatter and body.
Jamie-BitFlight/claude_skills 33
snakepolish Implementation phase for stinkysnake workflow. Use when tests are written and plan is ready. Implements functions following the modernization plan, runs tests until passing.
Jamie-BitFlight/claude_skills 33
orchestrate Use when orchestrating a Python development task via specialized agents. Activates on "build a Python CLI", "add a feature", "write tests", "refactor Python code", "debug Python", "code review", or any multi-agent Python workflow. Invoke as /orchestrate with a task description or alone to use conversation context.
Jamie-BitFlight/claude_skills 33
rich Use when writing Python code with the Rich library — console output with markup, tables, progress bars, syntax highlighting, pretty printing, logging, or tracebacks. Covers Console, markup syntax, renderables (Panel/Table/Tree), Progress, Live, RichHandler, and the __rich_console__ protocol.
Jamie-BitFlight/claude_skills 33
python3-test-design Use when designing pytest test suite architecture, planning test coverage strategy, or reviewing test structure for Python 3.11+ projects. Activates on "design a test strategy", "plan test coverage", "create test architecture", or when TDD/BDD/property-based testing patterns are mentioned. Guides fixture design, parametrization, async testing, and mutation testing coverage decisions.
Jamie-BitFlight/claude_skills 33
pypi-readme-creator Use when creating a README for a Python package, preparing for PyPI publication, fixing README rendering errors found by twine check, choosing between README.md and README.rst, or configuring the readme field in pyproject.toml. Generates professional, PyPI-compliant README files.
Jamie-BitFlight/claude_skills 33
python-cli-architect Use when the python-cli-architect agent needs project structure reference and task completion quality gates for Python CLI projects. Loaded automatically by the python-cli-architect agent — covers package layout, Hatchling configuration, and implementation quality criteria.
Jamie-BitFlight/claude_skills 33
async-python-patterns Use when building async APIs, concurrent systems, or I/O-bound Python applications requiring non-blocking operations. Covers asyncio, async/await patterns, task scheduling, synchronization primitives, and high-performance concurrent programming.
Jamie-BitFlight/claude_skills 33
hatchling Use when working with Hatchling — configuring build system setup, pyproject.toml metadata, dependencies, entry points, build hooks, version management, wheel and sdist builds, package distribution, setuptools migration, or troubleshooting Hatchling build errors. Covers PEP 517/518/621/660 standards.
Jamie-BitFlight/claude_skills 33
typer Use when building CLI applications with Typer — creating commands, defining arguments and options, composing subcommands, testing with CliRunner, or using advanced features like callbacks and autocompletion. Covers app creation, parameter types, subcommand composition, testing patterns, and output utilities.
Jamie-BitFlight/claude_skills 33
python3-review Comprehensive Python code review checking patterns, types, security, and performance. Use when reviewing Python code for quality issues, when auditing code before merge, or when assessing technical debt in a Python codebase.
Jamie-BitFlight/claude_skills 33
meta-inspector Use when extracting specific data points from large agent output transcripts, kaizen analysis reports, or JSONL session files — tool timings, query counts, error summaries, or any structured facts — without loading raw data into orchestrator context. Activates when the orchestrator needs targeted facts from large files and context pollution must be avoided.
Jamie-BitFlight/claude_skills 33
transcript-analysis This skill should be used when analyzing Claude Code session transcripts, reviewing agent performance, finding anti-patterns or tool misuse, detecting user frustration signals, mining workflow patterns, running kaizen analysis, debugging agent behavior, or performing session forensics. Provides JSONL schema (kaizen-analysis get_transcript_jsonl_schema or MCP resource kaizen://session-log/schema or references/jsonl-schema.md), arbitrary DuckDB SQL over JSONL via kaizen-duckdb execute_query, cookbook query patterns, 10 analysis dimensions, and PM4Py process mining methodology.
Jamie-BitFlight/claude_skills 33