Essential command-line tools and system utilities.
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
Expert in writing data to Logseq DB graphs via HTTP API. Auto-invokes when users want to create pages, add blocks, update content, set properties, or sync conversation notes to their Logseq graph. Provides CRUD operations with safety guidelines.
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
Use this skill when designing REST, GraphQL, or gRPC APIs. Provides comprehensive API design patterns, versioning strategies, error handling conventions, authentication approaches, and OpenAPI/AsyncAPI templates. Ensures consistent, well-documented, and developer-friendly APIs across all backend services.
Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables for secure network communication.
Generate high-quality images and assets for components (hero sections, features, transformations) using Replicate's FLUX 1.1 Pro model.
Orchestrates pitfall prevention skills for common development issues. Auto-triggered during code review to check for TanStack Query, Drizzle ORM, Express API, React, WebSocket, blockchain RPC, and security pitfalls.
Design and document RESTful and GraphQL APIs with OpenAPI/Swagger specifications, authentication patterns, versioning strategies, and best practices. Use for: (1) Creating API specifications, (2) Designing REST endpoints, (3) GraphQL schema design, (4) API authentication and authorization, (5) API versioning strategies, (6) Documentation generation
Transform rough ideas into detailed designs through structured dialogue. Use before implementation to refine requirements.
Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.
Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.
Map and optimize decision moments across Awareness, Consideration, Conversion, and Retention, then attach specific assets, visuals, and automations to each stage. Use when designing funnels, campaigns, or retention systems.
IDE-grade project scaffolding wizard for creating new projects with comprehensive configuration. Supports 70+ project types: HTML/CSS websites, React, Next.js, Vue, Astro, Remix, React Native, Flutter, Expo, FastAPI, Django, Express, NestJS, Go/Gin, Rust/Axum, Spring Boot, Hono, Elysia, Chrome Extensions, VS Code Extensions, Tauri desktop apps, serverless functions, and more. Provides WebStorm/PyCharm-level project creation with interactive SDK selection, framework configuration, database setup, and DevOps tooling. Use when: creating a new project, setting up a framework application, initializing a codebase, scaffolding boilerplate, building extensions, creating mobile/desktop/web apps, setting up monorepos, or making static websites/landing pages.
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format.
Boilerplate templates for Claude Code extensions. Triggers on: create agent, new skill, command template, hook script, extension scaffold.
Technical analysis capabilities for APIs, data models, integrations, and security requirements. Use when analyzing technical aspects of systems or documenting technical requirements.
Integration skill for Lovable.dev projects. Activates when working with: - Lovable.dev projects with GitHub sync - Supabase Edge Functions that need deployment - Database migrations for Lovable Cloud - Projects with supabase/ directory structure - Any mention of "Lovable", "deploy edge function", "apply migration" Provides exact Lovable prompts for backend operations that can't be done via GitHub alone.
Scaffolds new feature modules in DevPrep AI following the 6-folder architecture with proper TypeScript interfaces, path aliases, and quality standards. Use when creating new domains like 'analytics', 'notifications', or any new feature module.
This skill should be used when working with Firebase projects, including initializing projects, adding Cloud Functions or Firestore collections, debugging emulator issues, or reviewing Firebase code. Triggers on "firebase", "firestore", "cloud functions", "emulator", "firebase auth", "deploy to firebase", "firestore rules".
Generate professional markdown and HTML reports from data with charts, tables, and analysis.
Generate comprehensive onboarding documentation and guides for new developers joining your team o...
Self-improving skill system for Makepad development. Features self-evolution (accumulate knowledge), self-correction (fix errors automatically), self-validation (verify accuracy), usage feedback (track pattern health), version adaptation (multi-branch support), and personalization (adapt to project style). Use to continuously improve makepad-skills during development.
Apply task-specific templates to AI session plans using ai-update-plan. Use when starting a new task to load appropriate plan structure (feature, bugfix, refactor, documentation, security).
