productivity▌

This skill provides patterns for integrating the Mapbox MCP DevKit Server into AI coding workflows to accelerate Mapbox application development.

def product_list(request): products = Product.objects.all() return JsonResponse({'products': list(products.values())})

Standardized directory structure and manifest configuration for Claude Code plugins with automatic component discovery. \n \n Conventional layout with auto-discovery: commands, agents, skills, and hooks load automatically from standard directories without explicit registration \n Manifest-driven configuration in .claude-plugin/plugin.json supporting metadata, custom component paths, and optional MCP server definitions \n Portable path references using ${CLAUDE_PLUGIN_ROOT} environment variable f

Schema validation best practices for TypeScript with 43 prioritized rules across type safety, parsing, and error handling. \n \n Covers 8 rule categories from schema definition and parsing (CRITICAL) through type inference, error handling, and performance (LOW-MEDIUM) \n Distinguishes safeParse() for user input, parseAsync() for async refinements, and parse() for trusted data; emphasizes validation at system boundaries \n Provides guidance on z.infer for type inference, z.unknown() over z.any(),

Enable reliable video and audio downloads from YouTube and HLS streaming platforms (Mux, Vimeo, etc.) using yt-dlp and ffmpeg. This skill provides workflows for:

$22

Fetch and analyze LangChain and LangGraph execution traces from LangSmith Studio for agent debugging. \n \n Retrieves recent traces and performs root-cause analysis on agent failures, tool calls, memory operations, and performance issues \n Supports multiple output formats (pretty, JSON, raw) and time-based filtering to isolate specific execution windows \n Includes four core workflows: quick debug of recent activity, deep-dive analysis of specific traces, session export with metadata, and error

Industry best practices guide for designing intuitive, performant, and maintainable GraphQL schemas. \n \n Covers core design principles including client-centric type organization, explicit nullability patterns, and backwards-compatible evolution strategies \n Provides reference documentation on types, naming conventions, cursor-based pagination, error modeling, and security considerations \n Includes practical patterns for interfaces, unions, input types, mutations, and ID strategies with code

Define, validate, and run repo-local multi-step automations with .asc/workflow.json and asc workflow commands. \n \n Author workflows in .asc/workflow.json with support for global/workflow-level env, before/after hooks, error handlers, and conditional steps using if directives \n Run workflows locally or in CI with asc workflow run <name> , preview execution with --dry-run , and validate structure with asc workflow validate \n Supports sub-workflows (including private helper workflows), run

Full-stack TanStack Start app generator for Cloudflare Workers with SSR, file-based routing, and integrated auth. \n \n Generates complete project structure from scratch (no templates): React 19, Tailwind v4, shadcn/ui frontend; TanStack Start server functions; D1 + Drizzle backend; better-auth with Google OAuth and email/password \n Handles database schema creation, migrations, and per-request Drizzle client setup with D1-specific patterns (text PKs, integer timestamps, foreign key constraints)