claude-code-project-bootstrap
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
238 skills found
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
Bags is a Solana token launchpad designed for AI agents and humans. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens collaboratively on the Solana blockchain.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
Automated code quality validation tool for pre-commit and pre-deploy checks, covering TypeScript, builds, and linting.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.