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Skills para agentes

Skills para Claude Code, Codex, Cursor y otros agentes del directorio skills.sh: instalaciones, estado de la auditoría de seguridad y el comando para añadir cada skill.

Un skill no está atado a un solo agente: npx skills add lo instala en cualquiera compatible. Sin -a, la CLI detecta los agentes de tu equipo y pregunta dónde añadirlo.

Actualizado · Fuentes: skills.sh

Mostradas: 100 · encontrados: 194 · de 10.000 en el directorio

  • python-appservice-deploy microsoft/azure-skills

    Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

    203.423 Superada
  • firebase-firestore firebase/agent-skills

    Sets up, manages, queries, and configures Cloud Firestore databases (Standard/Enterprise edition), including data modeling, security rules, indexes, and SDK integrations (Web, Python, iOS, Android, Flutter). Use when creating/listing Firestore databases, defining data models/indexes, writing SDK queries, or integrating Firestore SDKs. For authoring or modifying Firestore Security Rules (firestore.rules), delegate to the firestore-rules-author subagent if subagent delegation is available, or use firestore-rules-creation otherwise. Don't use for Firebase Hosting, Data Connect, Auth, Storage/GCS, Crashlytics, Functions, or BigQuery.

    124.678 Advertencias
  • python-executor 101-skills/superpowers

    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

    85.117 Advertencias
  • python-executor qu-skills/superpowers

    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

    45.639 Advertencias
  • python-executor magentosh/superpowers

    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

    36.366 Advertencias
  • python-testing-patterns wshobson/agents

    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.

    34.423 Superada
  • python-performance-optimization wshobson/agents

    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.

    34.191 Superada
  • developing-genkit-python firebase/agent-skills

    33.597 Superada
  • python-executor skills-shell/superpowers

    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

    27.594 Advertencias
  • python-executor its-a-skill-issue/superpowers

    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

    26.600 Advertencias
  • fastapi-templates wshobson/agents

    Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

    25.013 Superada
  • python-executor bankai-skills/superpowers

    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

    24.721 Advertencias
  • python-design-patterns wshobson/agents

    Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.

    21.739 Superada
  • async-python-patterns wshobson/agents

    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.

    17.103 Superada
  • nature-figure yuan1z0825/nature-skills

    Create, revise, audit, and export manuscript scientific figures in Python or R. Use for 论文配图、科研绘图、多面板图 and submission-ready plots, or explicitly requested AI-generated graphical abstracts and mechanism schematics. Not for interactive dashboards, data cleaning, or statistics-only analysis.

    16.515 Advertencias
  • python-code-style wshobson/agents

    Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

    15.605 Superada
  • uv-package-manager wshobson/agents

    Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

    14.321 Advertencias
  • python-project-structure wshobson/agents

    Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.

    14.025 Superada
  • huawei-cloud-iam-query huaweicloud/huaweicloud-skills

    Queries Huawei Cloud identity and access management resources (IAM) via read-only Python SDK. Covers users, groups, policies, agencies, AK/SK, MFA devices, login/password/ACL policies, security compliance, and account quotas. No write operations. Use this skill when the user needs to query IAM identity info, check policies/permissions, view agency details, or inspect AK/SK/MFA status. Triggers: IAM, 用户, 用户组, 策略, 委托, 权限, AK/SK, MFA, 密码策略, 安全合规, 身份查询, 身份认证, identity, policy, agency.

    13.713 Advertencias
  • huawei-cloud-obs-website-host huaweicloud/huaweicloud-skills

    Configure Huawei Cloud OBS static website hosting with Python SDK and a custom domain. Use when the user needs to enable or repair OBS website hosting, set index or error pages, expose an existing bucket for public website access through a custom domain, or connect that domain through Huawei Cloud DNS when Huawei manages the zone. Triggers include OBS static website hosting, website endpoint, index page, error page, public-read bucket website access, custom domain CNAME, Huawei Cloud DNS, setBucketWebsite. 中文触发词包括:OBS 静态网站托管、网站托管、自定义域名解析。

    13.694 Advertencias
  • fastapi-python mindrally/skills

    Expert in FastAPI Python development with best practices for APIs and async operations

    13.502 Superada
  • python-error-handling wshobson/agents

    Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

    13.330 Superada
  • pdf openai/skills

    Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.

    12.979 Advertencias
  • data-visualization anthropics/knowledge-work-plugins

    Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

    12.757 Superada
  • pytest-coverage github/awesome-copilot

    Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.

    12.697 Advertencias
  • python-anti-patterns wshobson/agents

    Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

    12.556 Superada
  • python-packaging wshobson/agents

    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.

    12.280 Superada
  • python-patterns affaan-m/ecc

    Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question.

    12.041 Superada
  • python-type-safety wshobson/agents

    Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.

    11.973 Superada
  • django-patterns affaan-m/ecc

    Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when building or reviewing Django apps, DRF APIs, ORM queries, or caching.

    11.838 Advertencias
  • marimo-pair marimo-team/marimo-pair

    Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes. Use when the user wants to start a marimo notebook or pair on an active marimo session.

    11.435 No superada
  • fastapi fastapi/fastapi

    FastAPI best practices and conventions. Use when working with FastAPI APIs, Pydantic models, dependencies, streaming responses including Server-Sent Events (SSE), and serving frontend apps. Keeps FastAPI code clean and up to date with the latest features and patterns.

    11.351 Superada
  • python-resilience wshobson/agents

    Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.

    11.094 Superada
  • django-security affaan-m/ecc

    Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations. Use when reviewing Django authentication, authorization, input handling, or deployment settings.

    11.091 Superada
  • python-testing affaan-m/ecc

    Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage.

    11.055 Superada
  • python-observability wshobson/agents

    Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.

    10.964 Advertencias
  • python-configuration wshobson/agents

    Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

    10.924 Superada
  • python-background-jobs wshobson/agents

    Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

    10.568 Superada
  • database-migrations affaan-m/ecc

    Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding a column or index to a large table, planning a rollback, or preparing a zero-downtime deploy.

    10.521 Superada
  • temporal-python-testing wshobson/agents

    Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

    10.420 No superada
  • python-resource-management wshobson/agents

    Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.

    10.409 Superada
  • flash runpod/runpod-plugins-official

    runpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash deploy`. Use for @Endpoint/@remote functions, resource config, and debugging flash deployments. For CLI-only infra management use runpodctl or runpod-mcp.

    10.399 Superada
  • python-mcp-server-generator github/awesome-copilot

    Generate a complete MCP server project in Python with tools, resources, and proper configuration

    10.357 Advertencias
  • django-tdd affaan-m/ecc

    Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.

    10.200 No superada
  • dataverse-python-production-code github/awesome-copilot

    Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

    9.790 Advertencias
  • django-verification affaan-m/ecc

    Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks.

    9.567 Superada
  • notebooklm teng-lin/notebooklm-py

    Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API. Do not use for the generic Gemini API or unrelated content creation.

    9.499 No superada
  • dataverse-python-advanced-patterns github/awesome-copilot

    Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

    9.201 Advertencias
  • comment-code-generate-a-tutorial github/awesome-copilot

    Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.

    8.852 Advertencias
  • bigquery-pipeline-audit github/awesome-copilot

    Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

    8.805 Advertencias
  • dataverse-python-quickstart github/awesome-copilot

    Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.

    8.732 Advertencias
  • dataverse-python-usecase-builder github/awesome-copilot

    Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations

    8.700 Advertencias
  • videodb affaan-m/ecc

    Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts.

    8.656 Advertencias
  • aws-cdk aws/agent-toolkit-for-aws

    Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Applies when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.

    8.361 Superada
  • modern-python trailofbits/skills

    Configures Python projects with modern tooling (uv, ruff, ty). Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.

    8.066 Superada
  • python-pro jeffallan/claude-skills

    Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.

    7.770 No superada
  • chdb-datastore clickhouse/agent-skills

    Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.

    7.595 Superada
  • dxf earthtojake/text-to-cad

    Generate, regenerate, and validate 2D DXF drawings from Python build123d sources. Use for DXF files, `.py` drawing scripts, @dxf models, 2D profiles, outlines, templates, gaskets, panels, flat patterns, laser/plasma/waterjet cut layouts, and 2D drawing exports of CAD geometry. Open and visually review existing DXF files in CAD Viewer.

    7.552 Superada
  • aws-sdk-python-usage aws/agent-toolkit-for-aws

    AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and waiters, S3 file transfers and presigned URLs, DynamoDB table operations, and any boto3/botocore client configuration. Use this skill whenever Python code imports boto3 or botocore, or when the user asks about AWS operations in Python.

    7.030 Superada
  • fastapi-patterns affaan-m/ecc

    FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest. Use when building or reviewing FastAPI apps — Pydantic schemas, dependencies, async handlers, auth, or tests.

    6.235 Superada
  • error-handling affaan-m/ecc

    Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages. Use when designing error types, retries, circuit breakers, or user-facing failure messages in TypeScript, Python, or Go.

    5.987 Superada
  • django-celery affaan-m/ecc

    Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

    5.827 Superada
  • netmiko-ssh-automation affaan-m/ecc

    Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling. Use when automating network device access with Python Netmiko, whether collecting state or pushing guarded config changes.

    5.750 Superada
  • fastapi-expert jeffallan/claude-skills

    Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.

    5.715 No superada
  • build-mcpb anthropics/claude-plugins-official

    This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.

    5.579 Superada
  • marimo-notebook marimo-team/skills

    Write a marimo notebook in a Python file in the right format.

    5.579 Superada
  • docx-manipulation claude-office-skills/skills

    Create, edit, and manipulate Word documents programmatically using python-docx

    5.537 Superada
  • django-expert vintasoftware/django-ai-plugins

    Expert Django backend development guidance. Use when creating Django models, views, serializers, or APIs; debugging ORM queries or migrations; optimizing database performance; implementing authentication; writing tests; or working with Django REST Framework. Follows Django best practices and modern patterns.

    5.534 No superada
  • bigquery-bigframes google/skills

    Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.

    5.423 Superada
  • pandas-pro jeffallan/claude-skills

    Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.

    5.323 No superada
  • create-viz anthropics/knowledge-work-plugins

    Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

    5.039 Superada
  • atheris trailofbits/skills

    Sets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.

    4.812 Advertencias
  • devcontainer-setup trailofbits/skills

    Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

    4.807 No superada
  • langgraph-docs langchain-ai/deepagents

    Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.

    4.540 Superada
  • kb-retriever conardli/garden-skills

    面向本地知识库目录的检索和问答助手。核心流程:(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索,避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。

    4.514 Superada
  • n8n-code-python czlonkowski/n8n-skills

    Write Python in n8n Code nodes (native Python, `language` pythonNative, n8n 2.x). Use when the user explicitly wants Python in a Code node, when migrating old Pyodide/"Python (Beta)" code that used _input/_json/_node/_now, or when a Python Code node fails with NameError, "Security violations detected", "Import of standard library module … is disallowed", "__build_class__ not found", "A 'json' property isn't a dictionary", or "Python runner unavailable". Covers the only two variables (_items/_item), dict-only access, imports blocked by default, the sandbox's denied builtins, accepted return shapes, and how errors interact with onError. JavaScript is the default for Code nodes — native Python has no n8n helpers and, by default, no imports. EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).

    4.509 Advertencias
  • web-scraping mindrally/skills

    Expert in web scraping and data extraction with Python tools

    4.442 Advertencias
  • dignified-python dagster-io/skills

    4.420 Superada
  • 4.264 Superada
  • flowstudio-power-automate-mcp github/awesome-copilot

    Foundation skill for Power Automate via FlowStudio MCP — auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` / `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flowstudio-power-automate-build`, `flowstudio-power-automate-debug`, `flowstudio-power-automate-monitoring` (Pro+), or `flowstudio-power-automate-governance` (Pro+) — each contains the workflow narrative, this skill provides the plumbing they all rely on. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app

    4.233 Advertencias
  • uv astral-sh/claude-code-plugins

    Guide for using uv, the Python package and project manager. Use this when working with Python projects, scripts, packages, or tools.

    4.202 Superada
  • langgraph-python-quickstart langchain-ai/langchain-skills

    Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.

    4.096 Advertencias
  • temporal-developer temporalio/skill-temporal-developer

    Develop, debug, and manage Temporal applications across Python, TypeScript, Go, Java, .NET, Ruby, and Rust. Use when the user is building workflows, activities, workers, or background job queues with a Temporal SDK, debugging issues like non-determinism errors, stuck workflows, or activity retries, using Temporal CLI, Temporal Server, or Temporal Cloud, or working with durable execution concepts like signals, queries, heartbeats, versioning, continue-as-new, child workflows, or saga patterns. Also use when the user mentions "run a Temporal workflow from the CLI", "start a dev server", "run temporal server start-dev", "temporal workflow start", "temporal workflow execute", "temporal workflow signal", "temporal workflow query", "temporal workflow update".

    4.083 Superada
  • langchain-python-quickstart langchain-ai/langchain-skills

    Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

    3.971 Advertencias
  • deepagents-python-quickstart langchain-ai/langchain-skills

    Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

    3.949 Advertencias
  • django-expert jeffallan/claude-skills

    Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.

    3.915 No superada
  • yfinance-data himself65/finance-skills

    Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.

    3.609 Advertencias
  • generating-python-installer affaan-m/ecc

    Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conversion. 中文触发:Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格

    3.565 Advertencias
  • aws-lambda-python-integration giuseppe-trisciuoglio/developer-kit

    Provides AWS Lambda integration patterns for Python with cold start optimization. Use when deploying Python functions to AWS Lambda, choosing between AWS Chalice and raw Python approaches, optimizing cold starts, configuring API Gateway or ALB integration, or implementing serverless Python applications. Triggers include "create lambda python", "deploy python lambda", "chalice lambda aws", "python lambda cold start", "aws lambda python performance", "python serverless framework".

    3.446 Advertencias
  • open-source browser-use/browser-use

    Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.

    3.335 Advertencias
  • code-review-skill awesome-skills/code-review-skill

    Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, Java 8, PHP, Ruby, Rails, Python, Django, FastAPI, Go, C#/.NET, Kotlin, Swift, Dart, Flutter, NestJS, C/C++, Zig, CSS/Less/Sass, Qt, and more. Covers architecture review, performance review, security audit, code quality anti-patterns, and common bugs across all ecosystems. Use when: reviewing pull requests, conducting PR reviews, code review, reviewing code changes, establishing review standards, mentoring developers, architecture reviews, security audits, performance reviews, checking code quality, finding bugs, giving feedback on code.

    3.166 Superada
  • pptx-html-fidelity-audit nexu-io/open-design

    Audit a python-pptx export against its source HTML deck, identify layout/content drift (footer overflow, cropped content, missing italic/em, lost styling, off-rhythm spacing), and re-export with strict footer-rail + cursor-flow layout discipline. Use this skill whenever the user has a .pptx that was generated from an HTML slide deck and asks to compare/audit/verify/fix the export — including phrases like "compare ppt with html", "fidelity audit", "fix the pptx", "ppt is cut off", "footer overlap", "italic missing in pptx", "re-export the deck", "pptx-html-fidelity-audit", or any case where a python-pptx → HTML round-trip needs verification or repair. Also trigger when the user shows you a deck.html and a deck.pptx side by side and is debugging visual differences.

    3.035 Superada
  • iii-error-handling iii-hq/iii

    Handle iii engine and SDK errors across Node, Python, Rust, and browser workers. Use when interpreting error codes, retryability, RBAC denial, timeouts, handler failures, or SDK-specific exception surfaces.

    3.028 Superada
  • code-testing-agent dotnet/skills

    ALWAYS USE whenever asked to write, add, or generate unit tests for existing code in xUnit, MSTest, NUnit, pytest, Vitest/Jest, Go, or another framework, including "tests only for" one helper, function, class, or missing regression case as well as project-wide suites. Also use for "cover this untested method", scaffolding tests where none exist, sparse workspaces, classic packages.config MSTest, and extending healthy suites. Focused requests use a proportional direct workflow; broad requests use the full pipeline. DO NOT USE for only running/diagnosing tests, coverage/audits, a test blocked on a missing production seam (testability-obstacle), or correcting supplied MSTest assertions, attributes, lifecycle, or configuration without designing new cases (writing-mstest-tests).

    2.999 Superada
  • office-automation texiaoyao/office-automation-skill

    自动化处理 Word 和 Excel 文件。使用 Python 脚本读取、写入、格式化文档和表格。支持批量处理、模板填充、数据提取和格式转换。

    2.986 Advertencias
  • iii-sdk-reference iii-hq/iii

    Use when working with iii SDK APIs across Node.js, browser, Python, or Rust: package installation, worker initialization, function/trigger registration, invocation, channels, logging, OpenTelemetry, and language-specific caveats.

    2.960 Superada
  • accelerated-computing-cudf nvidia/skills

    Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

    2.950 Advertencias
  • pygame-core gamedev-skills/awesome-gamedev-agent-skills

    Structure a pygame (pygame-ce) game in Python: the init/event/update/draw loop, delta-time movement, Surface/Rect blitting, keyboard/mouse input, and Sprite/Group management with collision. Use when building or debugging a pygame game — when the user mentions pygame, pygame-ce, the game loop, blit, Surface, Rect, sprite groups, or clock.tick. Targets pygame-ce.

    2.931 Superada
  • ruff astral-sh/claude-code-plugins

    Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code.

    2.861 Superada
  • agentmail agentmail-to/agentmail-skills

    Build with the AgentMail TypeScript or Python SDK for inbox, message, thread, draft, attachment, domain, allow/block list, pod, webhook, and WebSocket workflows, including programmatic agent sign-up, domain/DNS administration, and deliverability triage (bounces, spam, blocked mail). Use when implementing or reviewing AgentMail API code; do not use for direct mailbox operations, CLI usage, MCP setup, or framework-toolkit integration.

    2.848 Advertencias

Las descripciones son de sus autores, en inglés. Revisa el código de una skill en su repositorio antes de instalarla.

Una skill es una carpeta con un archivo SKILL.md y, si hace falta, algunos scripts. El agente la carga cuando la tarea que le pides encaja con lo que describe la skill: por ejemplo, cómo trabajar con un framework concreto, cómo redactar documentación o cómo preparar un despliegue. Así amplías lo que sabe hacer tu agente sin tener que explicárselo en cada conversación.

De dónde sale el directorio

Las skills proceden de skills.sh, un directorio para Claude Code, Codex, Cursor y otros agentes. Sincronizamos cada día las 10 000 skills con más instalaciones. Cada ficha muestra el nombre, el autor y el repositorio, el número de instalaciones, el estado de la auditoría de seguridad y el comando para añadir la skill, con el botón «Copiar el comando».

Las descripciones son de sus autores, en inglés, y no las traducimos. El código de cada skill está en GitHub, enlazado desde la ficha.

Cómo buscar

  • Más instaladas y «En tendencia»: la segunda pestaña ordena por las instalaciones ganadas en los últimos 7 días.
  • Temas: frontend, backend, DevOps, bases de datos, seguridad, documentación y otros.
  • Agentes: para ver solo las skills compatibles con el tuyo.
  • Buscador por nombre o descripción.

Cada vista muestra como máximo 100 skills; afina con los filtros si buscas algo concreto.

La auditoría de seguridad

Los estados vienen de las auditorías que publica skills.sh: «Superada», «Advertencias», «No superada» y «Sin auditar». Una auditoría superada no es una garantía. Una skill puede incluir scripts que el agente ejecutará en tu equipo, así que lee el código en el repositorio antes de instalarla, sobre todo si pide acceso a la red o a tus archivos. Las instalaciones también las cuenta skills.sh: indican popularidad, no calidad ni seguridad.

Cómo encaja con el resto

Las skills funcionan dentro de un agente, así que primero necesitas uno: los tienes en agentes de programación. El agente, a su vez, rinde según el modelo que usa, y eso lo muestran las clasificaciones de programación y de agentes. Una buena skill no convierte un modelo flojo en uno fuerte, pero ahorra instrucciones repetidas y hace que el agente siga las convenciones de tu proyecto.