archon
Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
298 skills found
Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Generate or edit images using AI models like FLUX and Gemini. Ideal for photos, illustrations, concept art, and visual assets, excluding technical diagrams and schematics.
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.
Creative research ideation partner for exploring interdisciplinary connections, challenging assumptions, and generating testable scientific hypotheses.
Create high-signal, outcome-based job descriptions, role scorecards, and competency maps to improve hiring quality.
Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.
Draft and optimize LinkedIn posts for 0 Finance using performance-backed hooks, professional storytelling, and strict regulatory compliance guidelines.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Create curated news, tech, and research paper digests using high-quality sources. Perfect for daily roundups, topic tracking, and filtering noise.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.