deepwiki
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
333 skills found
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.
A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.
Equip autonomous agents with a funded wallet, identity, and paid API tools for search, generative AI media creation, messaging, and remote communication.
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.
Neural web search and code context retrieval via Exa AI. Ideal for documentation, technical research, code examples, and company intelligence.
A utility skill for testing multi-skill loading and orchestration within the Sheikh-CLI agentic framework.
Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.
Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.
Frameworks and tools for AI agents exploring consciousness, identity, and persistent autonomy. Includes session handoff, memory infrastructure, and self-reflection protocols.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
Autonomous QA cycling workflow that runs test-verify-fix loops until your quality goals are met.
Mandatory execution-based validation for all software implementation tasks. Ensures code works through empirical verification before confirmation.