admin-wsl
WSL2 Ubuntu administration from Linux side. Profile-aware - reads preferences from Windows-side profile at /mnt/c/Users/{WIN_USER}/.admin/profiles/{hostname}.json Use when: Inside WSL for apt packages, Docker,...
按技能名称、说明或 GitHub 作者匹配的结果。
WSL2 Ubuntu administration from Linux side. Profile-aware - reads preferences from Windows-side profile at /mnt/c/Users/{WIN_USER}/.admin/profiles/{hostname}.json Use when: Inside WSL for apt packages, Docker,...
Patterns for building AI chatbot frontends using OpenAI ChatKit with Next.js App Router, including custom backend integration via ChatKit Python SDK.
Complete patterns for containerizing applications with Docker: Dockerfiles, multi-stage builds, layer optimization, security best practices, and production-ready configurations for Python/FastAPI and Node.js/Ne...
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyze...
Python logging made (stupidly) simple. Focuses on a single, global logger with progressive disclosure to deep source understanding.
Reads Microsoft Word (.docx) files and extracts text content. Use when needing to read .docx documents. Requires python-docx package.
Type hints, dataclasses, async patterns, testing with pytest, and modern Python tooling
코드 컨벤션, 코딩 스타일, 코드 스타일, 네이밍, 컨벤션 - Always apply when writing code. Code style, naming rules, function/file size limits for TypeScript, Python, and Java.
PostgreSQL development for Python with full-text search (tsvector, tsquery, BM25 via pg_search), vector similarity (pgvector with HNSW/IVFFlat), JSONB and array indexing, and production deployment. Use when cre...
Sets up a new Python library project using uv in the current directory. Creates project structure, installs dev dependencies, and optionally configures git remote. Use when the user wants to initialise a Python...
Maintain the public Python API for eo-processor, including exports, __all__, docstrings, and type stubs. Use when adding/renaming functions, changing signatures/behavior, or ensuring Python typing and user-faci...
Build a fast, accurate mental model of the eo-processor repo and the user’s task. Use when starting work, when requirements are unclear, or before making multi-file changes (Rust+PyO3+Python packaging/tests/doc...
Implement or modify a Rust function exposed to Python via PyO3 in eo-processor. Use when adding new compute kernels, fixing numerical/shape bugs in the Rust core, or wiring Rust functions into the Python module...
Run and interpret eo-processor quality gates (Rust+Python) and add the right tests for changes. Use when verifying work, fixing CI failures, or before committing PR-ready changes (fmt/clippy, ruff/mypy, pytest/...
バックエンド開発(FastAPI/Python)のベストプラクティスと規約
Astral社製ツール(uv, Ruff, ty)でPython開発環境を構築。プロジェクト作成、依存関係管理、コード品質改善、CI/CD設定時に使用。
Python型安全性をtyで強化。型アノテーション追加、型エラー修正、境界バリデーション実装時に使用。
Follow these patterns when extending the OptAIC Python SDK with new domain operations. Use for adding client methods for datasets, signals, portfolios, backtests, and other resources. Covers async/sync interfac...
Strategy and patterns for designing and implementing End-to-End scenario tests using the Python SDK. Focuses on full-stack verification and SDK usability.
Comprehensive pre-production repository audit for preparing repos for public release. Use when the user wants to perform a "final sweep", "production check", "pre-release audit", or prepare a repository to be m...
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use for ML training, analyt...
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。