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Found 1,198 Skills
Automates macOS apps via Apple Events using AppleScript (discovery), JXA (legacy), and PyXA (modern Python). Use when asked to "automate Mac apps", "write AppleScript", "JXA scripting", "osascript automation", or "PyXA Python automation". Foundation skill for all macOS app automation.
Accelerate software development with Linear project management and MCP server integration. Master issue tracking, project workflows, and development automation for frontend, full-stack, and mobile applications. Includes comprehensive MCP tool usage, workflow patterns, and development best practices.
MCP tools for Xcode automation and Apple documentation access. XcodeBuildMCP for builds, apple-docs for WWDC and API docs. Use when building projects, searching documentation, or accessing WWDC content.
This skill should be used when the user mentions "openclaw", "OpenClaw CLI", asks to "send a message via openclaw", "manage openclaw agents", "configure openclaw gateway", "check openclaw status", "run openclaw agent", or asks about OpenClaw setup, channels, devices, or messaging automation.
Expert guidance for building production-ready FastAPI applications with modular architecture where each business domain is an independent module with own routes, models, schemas, services, cache, and migrations. Uses UV + pyproject.toml for modern Python dependency management, project name subdirectory for clean workspace organization, structlog (JSON+colored logging), pydantic-settings configuration, auto-discovery module loader, async SQLAlchemy with PostgreSQL, per-module Alembic migrations, Redis/memory cache with module-specific namespaces, central httpx client, OpenTelemetry/Prometheus observability, conversation ID tracking (X-Conversation-ID header+cookie), conditional Keycloak/app-based RBAC authentication, DDD/clean code principles, and automation scripts for rapid module development. Use when user requests FastAPI project setup, modular architecture, independent module development, microservice architecture, async database operations, caching strategies, logging patterns, configuration management, authentication systems, observability implementation, or enterprise Python web services. Supports max 3-4 route nesting depth, cache invalidation patterns, inter-module communication via service layer, and comprehensive error handling workflows.
AI-driven browser automation via Model Context Protocol
Calendly scheduling automation using REST API v2 for managing event types, availability, bookings, webhooks, and scheduling workflows
Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update, or delete Grafana dashboards, (2) Manage data sources and connections, (3) Configure alerting rules, contact points, and notification policies, (4) Work with folders and permissions, (5) Manage users, teams, and service accounts, (6) Create or query annotations, (7) Execute queries against data sources, or any other Grafana automation task via API.
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.
Decision-making framework for software development, Y Combinator / Silicon Valley style. Based on real principles from Paul Graham, Sam Altman, Michael Seibel, Patrick Collison, and Brian Chesky. Use when: - Developing features or products - Making technical decisions (what to do, how, when) - Prioritizing work (P0, P1, P2) - Evaluating whether to refactor or patch - Deciding on technical debt - Evaluating whether to add tests, CI/CD, or automation - Any architecture or engineering decision Triggers: development, code, feature, refactor, architecture, prioritize, technical decision, what to do first, technical debt, tests, CI/CD, sprint, backlog
Provides comprehensive guidance for Galileo AI design tool including AI-assisted design, component generation, and design automation. Use when the user asks about Galileo AI, needs to use AI for design, generate design components, or automate design workflows.
Frontend website debugging toolkit using Chrome DevTools Protocol with Playwright/WebKit fallbacks. Use this skill when: (1) Debugging CSS, HTML, or JavaScript issues on a webpage, (2) Taking screenshots to verify visual changes, (3) Inspecting DOM structure or console errors, (4) Testing responsive layouts, (5) Extracting selectors for automation, (6) Self-debugging frontend work Claude has created, (7) User says "debug this page", "check my site", "why doesn't this look right", or "fix the frontend". Supports Chrome (primary) and Safari/WebKit (via Playwright). Designed for agent-driven debugging loops.