Skills correspondant au nom, à la description ou à l’auteur GitHub.
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to...
使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。
Coding standards, modular architecture, and common execution patterns for the PolyFlup Python backend.
Analyzes CSV files and generates comprehensive summary statistics and visualizations using Python and pandas - automatically and immediately without asking what the user wants.
Structure Python so LLMs can understand it in 50 lines.
Dual Python/JavaScript adventure runtimes — always in sync
Intent-based code interpretation across all languages — SQL, Python, JS, YAML, Bash, and beyond
Build Text User Interface (TUI) applications using the Textual Python framework (v0.86.0+). Use when creating terminal-based applications, prototyping card games or interactive CLIs, or when the user mentions T...
Use for Python work with uv—envs, deps, and commands run through uv; avoid pip/venv/pip-tools; keep Justfile/CI parity with ruff, mypy, pytest.
Use when aligning with Georgios’s default Git/GitHub conventions—cloning with gh, Conventional Commits, atomic staging, and guarded GitHub Actions for Rust/Python/TypeScript—so work matches his standard workflo...
Generate optimized conference schedules using SolverForge (Timefold compatible). Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution,...
Agent Development Kit (ADK) expertise for the latest Python SDK and API reference
Python code linter and formatter for src/ directory
Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.
记录 DCjanus 在不同语言中偏好的第三方库与使用场景，供 AI 在选型、引入依赖或替换库时优先参考。适用于 Python/Rust/Go 的库选择、技术方案对比、或需要遵循 DCjanus 个人偏好进行开发的场景。
Enforce Python PEP 8 coding standards including snake_case variables, PascalCase classes, and snake_case filenames.
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods,...
Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including structure building, calculator setup, optimization, dynamics, and analysis
AI-powered audio generation using ElevenLabs API - text-to-speech with lifelike voices, sound effects generation, and music creation from text descriptions. Generate natural-sounding speech in 32 languages, cre...
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model...
Comprehensive guidance for using pymatgen (Python Materials Genomics) for computational materials science. Covers structure creation and manipulation, file I/O (CIF, POSCAR, XYZ), symmetry analysis, Materials P...
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilation, vectorization, and GPU/TPU acceleration; includes transformations (grad, ji...
Expert guidance for Opentrons Python API v2 - automated liquid handling, protocol development, labware management, and hardware module integration for OT-2 and Flex robots
Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and modern tooling. Use this skill when writing new Pytho...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.