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mojo
Expert guidance for Mojo, the programming language by Modular that combines Python's usability with C-level performance. Helps developers write high-performance AI/ML code, optimize numerical computations with SIMD and parallelism, and gradually port Python code to Mojo for orders-of-magnitude speedups.
meilisearch
Add fast, typo-tolerant full-text search with Meilisearch. Use when a user asks to add search to an app, implement full-text search, set up a search engine, replace Elasticsearch with something simpler, add autocomplete or instant search, build a product catalog search, index documents for search, configure search relevancy, add faceted filtering, or deploy a self-hosted search engine. Covers indexing, querying, facets, filtering, sorting, multi-tenancy, and integration with Node.js, Python, and REST API.
structlog-python
Add structured logging to Python with structlog. Use when a user asks to implement structured logging, add context to Python logs, configure log processing pipelines, or replace standard logging with typed output.
kamal
Deploy web applications to any server with Kamal — zero-downtime Docker deployments without Kubernetes. Use when someone asks to "deploy to a VPS", "deploy without Kubernetes", "Kamal deploy", "simple Docker deployment", "deploy Rails/Node/Python to a server", "zero-downtime deployment to bare metal", or "replace Heroku with a VPS". Covers Docker-based deployment, zero downtime with Traefik, multi-server, secrets, and accessory services.
n8n-workflow-architect
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
python
ALWAYS LOAD THIS SKILL before setting up any Python environment or installing packages. Defines the standard: uv, Python 3.13, uv pip install, .venv at project root. Triggers: "set up python", "install python", "create a venv", "virtual environment", "pip install", "install packages", "uv pip", "uv venv", "python version", "VIRTUAL_ENV", "venv conflict", "which python", "activate", "deactivate", "run the script", "run with uv", "uv run", "pyproject.toml", "install dependencies", "install requirements", "install the package", "editable install", "pip install -e".
script-demo
Demonstrate how a built-in prompt skill can safely orchestrate JavaScript or Python commands through host tools.
pdf-read-python
PDF読み込みの正しい方法。ReadツールでPDFを直接読むとエラーになるため、必ずPythonのpdfplumberライブラリを使用。インストール方法、基本的な使い方、ページ単位でのテキスト抽出を含む。PDF読み込み時に使用。
python-env
Use when you need Python environment management with uv (install, create venv, manage deps).
data-pipeline-operations
Activates when working with Python data pipelines, GCS operations, or medallion architecture (Bronze/Silver/Gold). Use this skill for: running pipelines, debugging data transformations, GCS uploads/downloads, data quality validation, CVR/CHR/BFE identifier handling, GeoPandas/PostGIS operations, and DuckDB queries for large files. Keywords: pipeline, bronze, silver, gold, GCS, parquet, CVR, CHR, BFE, transform, ingest, ETL, DuckDB, large files
connection-pooling
Database and HTTP connection pooling patterns for Python async applications. Use when configuring asyncpg pools, aiohttp sessions, or optimizing connection lifecycle in high-concurrency services.
asyncio-advanced
Python asyncio patterns with TaskGroup, structured concurrency, and modern 3.11+ features. Use when implementing concurrent operations, async context managers, or high-performance async services.
grpc-python
gRPC with Python using grpcio and protobuf for high-performance microservice communication. Use when implementing service-to-service APIs, streaming data, or building polyglot microservices requiring strong typing.
strawberry-graphql
Strawberry GraphQL library for Python with FastAPI integration, type-safe resolvers, DataLoader patterns, and subscriptions. Use when building GraphQL APIs with Python, implementing real-time features, or creating federated schemas.
fastapi-advanced
FastAPI 2026 advanced patterns including lifespan, dependencies, middleware, and Pydantic settings. Use when configuring FastAPI lifespan events, creating dependency injection, building Starlette middleware, or managing async Python services with uvicorn.
python-packaging
Configure Python package metadata, setup.py, and pyproject.toml for distribution using UV or setuptools. Use when setting up Python packages, configuring build systems, or preparing projects for PyPI publication.
dependency-manager
Manage Python dependencies using UV, pip-tools, or requirements.txt. Use when setting up dependency management, resolving conflicts, or choosing between UV, pip-tools, and requirements.txt workflows.