affinity-python-sdk
Use when writing Python code with the Affinity SDK, or when user asks about "affinity-sdk", "affinity package", typed IDs, async Affinity client, pagination, or Python scripts for Affinity CRM.
按技能名称、说明或 GitHub 作者匹配的结果。
Use when writing Python code with the Affinity SDK, or when user asks about "affinity-sdk", "affinity package", typed IDs, async Affinity client, pagination, or Python scripts for Affinity CRM.
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.
Build or modify the Rust↔Python FFI using PyO3+maturin. Use for binding builds, smoke tests, and boundary validation workflow.
Work on Python experiments in packages/python_viterbo. Use for layout conventions, stage entrypoints, lint/test commands, and asset/plot handling.
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.
FastAPI backend development with SQLAlchemy 2.0, Pydantic v2, and async Python. Use for API endpoints, database models, migrations, authentication, and background tasks.
Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).
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
Read and analyze Inspect AI evaluation log files using the Python API. Extract samples, messages, events, and metrics from .eval files.
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...
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...
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.
Provides guidance and explanations on Python code structure, organization, and architectural patterns tailored for students and beginners.
how to run python files and mangage dependencies using UV package manager (pip replacement)
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...
Senior Python developer for Python 3.11+. Use for type-safe, async, production-ready code.
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
Safely install a Python package, verify it imports correctly, and pin it to requirements.txt
Asynchronous programming patterns for Python, JavaScript/TypeScript, and other languages. Auto-triggers when implementing concurrent code, handling promises, or optimizing I/O operations.
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...
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...
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...
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...
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...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。