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Found 237 Skills
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
Convert Figma designs to production-ready React components with Tailwind CSS. Use when user provides a Figma URL, asks to convert Figma designs to React/code, wants to extract components from Figma, or mentions "vibefigma". Requires a Figma access token (via --token flag, FIGMA_TOKEN env var, or .env file).
React Native animated component library reference for Reacticx - 90+ production-ready components with Reanimated and Skia. Triggers on reacticx, reactix, or requests for animated React Native UI components (shaders, carousels, bottom sheets, toggles, pickers, loaders, etc).
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.
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP servers.
Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.
Comprehensive toolkit for generating best practice Fluent Bit configurations. Use this skill when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), or building production-ready telemetry configurations.
Generate high-quality Pull Request descriptions in Markdown. Supports issue, feature, and big-feature PR types with structured, production-ready output. Also generates PR titles and supports delivery as chat output or downloadable .md file. Proactively detects open GitHub PRs for the current branch and offers to update their title and description directly via the gh CLI.
Convert Figma designs into production-ready code using MCP server tools. Use this skill when users provide Figma URLs, request design-to-code conversion, ask to implement Figma mockups, or need to extract design tokens and system values from Figma files. Works with frames, components, and entire design files to generate HTML, CSS, React, or other frontend code.
Transform creative ideas into professional, production-ready screenplays optimized for AI video generation pipelines. Converts raw concepts into structured scene-by-scene narratives with rich visual descriptions, proper screenplay formatting, and XML-tagged output for seamless integration with image/video generation tools (imagine, arch-v). USE WHEN: Converting story ideas into screenplay format, preparing content for AI video pipelines, structuring narratives for 5-10 minute short films, generating visual-rich scene descriptions for image generation. WORKFLOW: Raw idea → Scene breakdown → Visual enhancement → Professional formatting → XML-tagged markdown output OUTPUT: Markdown document with XML-wrapped scenes, rich visual descriptions, proper screenplay elements (sluglines, action, dialogue), and metadata for pipeline processing.
8 production-ready product skills: product manager toolkit with RICE prioritization, agile product owner, product strategist with OKR cascades, UX researcher, UI design system, competitive teardown, landing page generator, and SaaS scaffolder. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Builds production-ready REST API endpoints with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.