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implementing-python
Implements concise, streamlined Python code matching exact architect specifications. Use when writing Python code, creating modules, or when the user asks to implement features in Python.
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backend-dev
FastAPI backend development with SQLAlchemy 2.0, Pydantic v2, and async Python. Use for API endpoints, database models, migrations, authentication, and background tasks.
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prompt-builder
Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).
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calc-bode
python-controlを使用して、メカニカルシステムの状態空間モデルから伝達関数（Bode Plot）を計算・表示する
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read-inspect-eval
Read and analyze Inspect AI evaluation log files using the Python API. Extract samples, messages, events, and metrics from .eval files.
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contrast-fixer
This skill should be used when detecting and fixing color contrast issues in the codebase. It finds dark text on dark backgrounds and light text on light backgrounds, then provides fixes to ensure proper readab...
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GitHub
code-reviewer
코드 리뷰 전문 skill. TypeScript, JavaScript, Python, Swift, Kotlin, Go 지원. 정적 분석, 베스트 프랙티스 검사, 보안 스캔, 리뷰 체크리스트 생성. 사용 시기: (1) PR 리뷰 시 (2) 코드 품질 피드백 시 (3) 보안 취약점...
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GitHub
api-development
Guide for developing the API service using Python, FastAPI, Pydantic, and Docker. Use this when creating or modifying API endpoints, models, routers, or backend logic.
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python-architecture-tutor
Provides guidance and explanations on Python code structure, organization, and architectural patterns tailored for students and beginners.
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uv
how to run python files and mangage dependencies using UV package manager (pip replacement)
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GitHub
c-timelog-engineering
High-performance C development for data-intensive systems, with explicit emphasis on time-indexed / log-structured in-memory engines (e.g., Timelog-class designs). Use when building advanced data structures, al...
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GitHub
python-pro
Senior Python developer for Python 3.11+. Use for type-safe, async, production-ready code.
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python-conventions
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
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add-dep
Safely install a Python package, verify it imports correctly, and pin it to requirements.txt
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async-patterns
Asynchronous programming patterns for Python, JavaScript/TypeScript, and other languages. Auto-triggers when implementing concurrent code, handling promises, or optimizing I/O operations.
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GitHub
python-performance
Use when profiling Python code, optimizing performance, implementing async patterns, or working with concurrent I/O - covers cProfile, line_profiler, asyncio patterns, and multiprocessing for CPU-bound tasks (p...
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python-best-practices
Python >=3.11 performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data...
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python-testing
Use when writing pytest tests, creating fixtures, mocking dependencies, or testing async code - provides patterns that verify actual behavior with proper fixtures and parametrization; prevents testing mocks ins...
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GitHub
python-project
Use when setting up Python projects, managing dependencies with uv, configuring pyproject.toml, creating project structure, or publishing packages - provides modern Python 3.12+ tooling patterns with uv package...
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GitHub
run-cpython-tests
Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from...
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GitHub
python-monitoring-trace
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with include/exclude event controls.
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GitHub
python-debug
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable contents with pdb. Triggers include requests to debug Python scripts, trace execution...
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GitHub
summarize-cpython-failures
Summarize CPython test failures from cpython_full_test_run.log (and cpython_full_test_run_summary.txt if present), compute passed/total counts for test files and test cases, and group failures by likely root ca...
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GitHub
synthetic-wav-sample
Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.
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