Find the perfect capability for your agent.
Frappe Python and JavaScript API reference including document operations, database queries, utilities, and REST API patterns. Use when working with frappe.get_doc, frappe.db, frappe.call, or any Frappe API methods.
Create Python projects with modern best practices. Use when asked to create a Python project, FastAPI app, CLI tool, or Python package. Includes uv for package management, Docker, pre-commit, ruff, FastAPI with uvloop, Typer CLI, SQLModel, and Pydantic.
Generates production-grade, high-availability logging modules for any programming language (Python, TypeScript, Go, etc.). Enforces best practices like rotation, formatting, and minimal dependencies.
Scaffold new software projects with best practices. Use this skill when users want to create a new project, initialize a codebase, scaffold an application, start a new repo, or set up a project from scratch. Supports frontend (React, Vue, vanilla), CLI tools, REST APIs, and monorepos in TypeScript/JavaScript or Python.
Create, edit, and build Observable Notebooks using Notebook Kit. Use when working with .html notebook files, generating static sites from notebooks, querying databases from notebooks, or using data loaders (Node.js/Python/R) in notebooks. Covers notebook file format, cell types, CLI commands, database connectors, and JavaScript API.
Comprehensive skill for deploying applications to Vercel. Covers all deployment types: single projects, monorepos, static sites, Next.js, React, Python/FastAPI backends, serverless functions, and edge functions. Use when deploying to Vercel, configuring vercel.json, setting up environment variables, troubleshooting deployments, or understanding Vercel's architecture.
Expert guidance for Pulumi infrastructure-as-code with Python and CI/CD pipeline integration. Use this skill when users ask about: (1) Creating or managing Pulumi projects with Python, (2) Writing Pulumi stacks for AWS, Azure, GCP, or Kubernetes, (3) Setting up CI/CD pipelines for infrastructure deployment (GitHub Actions, GitLab CI, Azure DevOps, Jenkins), (4) Pulumi stack management, secrets, and configuration, (5) Testing infrastructure code, (6) Pulumi Automation API, (7) Infrastructure deployment patterns and best practices, (8) Multi-environment or multi-stack deployments.
Best-practice workflow and guardrails for Python backend work (APIs/services, data access, background jobs, CLIs). Use when Codex is writing or refactoring Python application code, setting up Python tooling, improving performance, adding tests, or making packaging/lint/type-check decisions (uv, Ruff, mypy, pytest), including data tooling choices (prefer polars) and secure config patterns (.env).
Comprehensive Odoo coding guidelines covering module structure, XML files, Python, JavaScript, and CSS/SCSS conventions for developing Odoo applications. Use when working on Odoo module development, following Odoo coding standards, or maintaining Odoo codebases.
Automatically implement simple GitHub Issues by analyzing requirements, writing code, running tests, and creating Pull Requests. Best for single-file modifications (under 50 lines), bug fixes, and small feature additions. Supports Java/Spring Boot, Python, JavaScript/TypeScript projects with existing test coverage.
Senior Plone backend development for the EEA website. Use when working on Plone 6.1 server behavior, backend add-ons, Python code, configuration in `backend/develop/`, or when debugging backend bugs and tests.
This skill should be used when the user asks to "deploy to Railway", "deploy backend", "deploy Python app", "deploy Node.js server", "railway deployment", or mentions Railway hosting workflows.
Generate code scaffolds following Carbon ACX conventions for React components, TypeScript APIs, Cloudflare Workers, Python scripts, and tests.
Diagnose errors and failing tests in Laravel + React + Python applications. Use when encountering bugs, exceptions, stack traces, 500 errors, TypeErrors, failing tests, or unexpected behavior. EXCLUSIVE to debugger agent.
Comprehensive guide for building serverless applications with Cloudflare Workers. Use when developing Workers, configuring bindings, implementing runtime APIs, testing Workers, using Wrangler CLI, deploying to production, or building edge functions with JavaScript/TypeScript/Python/Rust.
Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash code, managing sandbox lifecycle (create, pause, resume, kill, list, connect), monitoring metrics (CPU, memory, disk), handling lifecycle events, uploading/downloading files, streaming command output, environment variable management, and integrating LLMs with code execution capabilities.
Systematic code review and evaluation tool for Python/FastAPI projects. Use when reviewing PRs, evaluating code quality, checking architecture compliance, or providing feedback on implementations. Triggers on "review", "code review", "evaluate", "check code", "PR review", "feedback".
Provides patterns and examples for generating test data using factory libraries. Use this skill when you need to create realistic and maintainable test data for your application. It covers factory patterns (e.g., Factory Boy for Python, Polly.js for JavaScript), handling relationships between models, using traits for data variations, sequence generation for unique values, and cleanup strategies. Trigger this skill for tasks involving test fixtures, data seeding for tests, or factory implementation.
Automação completa da API de Afiliados da Shopee com foco em bots Python, workflows N8N e integrações Telegram. Use quando precisar criar bots de afiliados, integrar Shopee com Telegram, automatizar geração de links, buscar ofertas programaticamente, ou construir sistemas de divulgação automática. Suporta autenticação SHA256, paginação com scrollId, rate limiting, e endpoints GraphQL (ofertas, links curtos, relatórios).
Generate production-quality Python code for sensor integration, sensor fusion, and perception systems that run in Pyodide (browser). Creates educational code for teaching IMU sensors, LiDAR simulation, depth perception, tactile sensors, and sensor fusion algorithms. Focuses on sensor data processing, calibration, noise modeling, and multi-sensor fusion for educational purposes.
