serena
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
506 skills found
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
TypeScript SDK agent for FX Protocol: manage leveraged positions, perform cross-chain bridges between Base and Ethereum, and interact with fxSAVE yield-bearing stablecoin features.
Full-stack automated paper writing pipeline from research narrative to polished LaTeX/PDF.
Unit and integration test your Encore.ts backend applications using Vitest, including support for isolated test databases and service mocking.
Create new Figma design or FigJam files directly via the MCP server. Automatically resolves plans and initializes new canvases for your design workflows.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Strategic regression testing with intelligent test selection, impact analysis, and continuous regression management for faster, more reliable software delivery.
A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.
An agent-first, zero-based envelope budgeting CLI for tracking finances with SQLite or Turso/libSQL backends.
Automated text-to-image rendering engine for social media posts, article covers, and long-form threads. Supports X-style, WeChat, and poster templates with high-precision text formatting and highlights.
Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.