project-domain
Domain vocabulary and entity relationships for {project}. Ensures consistent terminology and model understanding.
project-interview
Resources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.
project-knowledge
Load project architecture and structure knowledge. Use when you need to understand how this project is organized.
project-operator
Operates and debugs the local stack (API/worker/frontend); focuses on observability, logs, and safe automation.
project-planner
Detects stale project plans and suggests session commands. Triggers on: sync plan, update plan, check status, plan is stale, track progress, project planning.
project-planning
>
project-research
Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies.
project-scaffolder
Creates plan.md, task.md, persona.md, project-context.md, and CLAUDE.md for new self-learning resource projects. Use when: (1) /init command is invoked, (2) setting up a new tutorial/guide/documentation project, (3) structure-designer agent needs templates for learning resource structure design. Provides hierarchical Part/Chapter/Section templates with page allocation.
project-setup-architecture
Set up project infrastructure including TypeScript, database, state management, navigation, and testing. Use when initializing new features or configuring development environment.
project-testing
Custom test patterns and fixtures for {project}. Covers E2E, integration, and specialized testing requirements.
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
prompt-optimization
Expert prompt optimization for LLMs and AI systems. Use when building
prompt-template-designer
|
prototype-to-production
Convert design prototypes (HTML, CSS, Figma exports) into production-ready components. Analyzes prototype structure, extracts design tokens, identifies reusable patterns, and generates typed React components. Adapts to existing project tech stack with React + TypeScript as default.
provider-management
Skill for managing model provider priorities with authentication (OAuth/Subscription/API), usage limits, and automatic fallback across all major AI providers
proxychains
Auto-detect network issues and force proxy usage with proxychains4. Use this skill when encountering connection timeouts, DNS failures, or blocked network access. Default proxy is http://127.0.0.1:9910
prpm-json-best-practices
Best practices for structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, eager/lazy activation, and conversion hints
pr-prepare
Prepare pull request descriptions following project template. Activates on: prepare PR, create PR, pull request, ready for PR, draft PR, write PR
pr-template-generator
Generate comprehensive pull request descriptions that help reviewers understand changes quickly a...
psql
Run PostgreSQL queries and meta-commands via CLI
py-alembic-patterns
Alembic migration patterns for PostgreSQL. Use when creating migrations, reviewing autogenerated migrations, or handling schema changes safely.
py-async-patterns
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
pydantic
Data validation and settings management using Python type annotations with Pydantic v2
py-fastapi-patterns
FastAPI patterns for API design. Use when creating endpoints, handling dependencies, error handling, or working with OpenAPI schemas.
py-observability
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
py-pydantic-patterns
Pydantic v2 patterns for validation and serialization. Use when creating schemas, validating data, or working with request/response models.
py-sqlmodel-patterns
SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.
pytest
Python testing framework for writing simple, scalable, and powerful tests
py-testing-async
Async testing patterns with pytest-asyncio. Use when writing tests, mocking async code, testing database operations, or debugging test failures.
pytest-mastery
|
pytest-mock-guide
Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patching, spying, or stubbing. Covers mocker fixture usage, patch methods, spy/stub patterns, and assertion helpers.
pytest-recording
Work with pytest-recording (VCR.py) for recording and replaying HTTP interactions in tests. Use when writing VCR tests, managing cassettes, configuring VCR options, filtering sensitive data, or debugging recorded HTTP responses.
python-async-patterns
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
python-best-practices
Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).
python-cli-patterns
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.
python-database-patterns
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
python-executor
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
python-fastapi
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
python-fastapi-patterns
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
python-observability-patterns
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
python-packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
python-pytest-patterns
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
python-sandbox
在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。
python-scripting
Python scripting with uv and PEP 723 inline dependencies. Use when creating
python-style-guide
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.
python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
python-typing-patterns
Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.
python-venv-manager
Python virtual environment management, dependency handling, and project setup automation.
Page 336 of 1682 · 84054 results
