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2.905 skills encontradas
agent-mail
MCP Agent Mail - Mail-like coordination layer for multi-agent workflows. Identities, inbox/outbox, file reservations, contact policies, threaded messaging, pre-commit guard, Human Overseer, static exports, disaster recovery. Git+SQLite backed. Python/FastMCP.
happyflow-generator
Automatically generate and execute Python test scripts from OpenAPI specifications and GraphQL schemas with enhanced features
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
doc-generator
Generate markdown documentation from Python codebases by analyzing source files, extracting docstrings, type hints, and code structure. Use when the user asks to document Python code, create API docs, or generate README files from source code.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
apscheduler
Advanced Python Scheduler - Task scheduling and job queue system
sast-bandit
Python security vulnerability detection using Bandit SAST with CWE and OWASP mapping. Use when: (1) Scanning Python code for security vulnerabilities and anti-patterns, (2) Identifying hardcoded secrets, SQL injection, command injection, and insecure APIs, (3) Generating security reports with severity classifications for CI/CD pipelines, (4) Providing remediation guidance with security framework r
python-development-python-scaffold
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
pennylane
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variat
azure-containerregistry-py
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
python-pytest-patterns
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.