export-agent

This skill guides you through installing the gitagent CLI and creating your first agent from a template. You'll customize core files like agent.yaml and SOUL.md, validate your setup, and run your agent locally or from a git repository.

Launch agents with flexible LLM provider selection across Claude, OpenAI, CrewAI, Lyzr, GitHub Models, and other adapters. Supports local directories, remote git repositories, and one-shot prompts for immediate execution. Auto-detection identifies the best adapter from your repo's configuration.

Build agents from scratch by generating agent.yaml configuration files, defining agent personality in SOUL.md, and organizing skills, tools, and knowledge directories. Includes templates for model settings, runtime constraints, and sub-agent delegation.

Knowledge Retrieval performs semantic search across your ingested document collection using Retrieval-Augmented Generation. It ranks results by relevance and returns text passages with citation metadata, making it ideal for finding domain-specific information in PDFs, reports, and technical documentation.

This skill tackles research by decomposing topics into 3-5 key subtopics, then gathering and reasoning through factual information for each. It synthesizes findings into a coherent summary while flagging areas of uncertainty or debate, and suggests related questions worth exploring next.

Packet Factory enforces a gatekeeper model where every task with side effects requires an APPROVED packet before running. Create packets in DRAFT status, review them for approval or rejection, then dispatch only approved work. Once approved, scope is locked to prevent creep—expansions spawn new packets instead.