Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
462 skills found
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.
Augmented cognition layer that connects conversations to a persistent knowledge tree, enabling long-term memory, recall, and contextual reasoning across projects.
Read and control I2C and SPI peripherals on Sipeed boards like LicheeRV Nano, MaixCAM, and NanoKVM.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
AI-powered lead generation pipeline: intelligent lead scoring (0-100) and context-aware follow-up generation for sales, cold outreach, and CRM integration.
Enforce clean architecture for Bun.js apps: layered patterns (routes/controllers/services/repos), camelCase naming conventions, Prisma schema design, and structured implementation workflows.
Designs and implements professional, interactive filtering UX for data tables based on column data types.
Manage automatic model routing for Higress AI Gateway via CLI. Configure triggers for intelligent model selection based on request content.
A Svelte 5 testing expert using vitest-browser-svelte and Playwright. Provides patterns for unit, SSR, and E2E tests, plus a CLI tool for AI assistants to fetch testing patterns.
Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.
Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.
Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.