agno
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
339 skills found
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Integrate, fix, and debug Duit/flutter_duit backend-driven UI (BDUI) in Flutter applications. Supports remote/static layouts, custom components, transport managers, and lifecycle debugging.
Synchronize project documentation with code. Maintains feature specs, API contracts, and READMEs using init-project standards to ensure traceability and completeness.
Transforms content to match specific voice profiles, tones, or styles using configurable YAML templates for consistent brand and narrative output.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
A specialized skill for generating high-quality technical documentation, code comments, API specs, and README patterns. Automates standard documentation workflows for C# and TypeScript projects.
Google Ads integration for managing campaigns, accounts, budgets, and reporting via Membrane CLI. Streamline your advertising workflow with automated authentication and cross-resource management.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
Execute z.AI CLI for multimodal analysis, web search, reader, and GitHub repo exploration via CLI and MCP.