z3z1ma/agent-loom
The missing middle between prompt and patch: a Markdown-native protocol that turns AI coding sessions into durable work products agents can continue, audit, and trust
The missing middle between prompt and patch: a Markdown-native protocol that turns AI coding sessions into durable work products agents can continue, audit, and trust
npx skills add z3z1ma/agent-loomThe missing middle between prompt and patch: a Markdown-native protocol that turns AI coding sessions into durable work products agents can continue, audit, and trust
ClawShow MCP Server — AI-callable skills via Model Context Protocol. Hosted at mcp.clawshow.ai/sse
6 production AI agents — LangGraph multi-agent systems, RAG pipelines, PDF translation, lead capture SaaS, WhatsApp agent, and document intelligence with Docker + PostgreSQL + pgvector. Built with Python, FastAPI, LangChain, Claude API and OpenAI.
Manage durable agent memory using a simple markdown workspace with inspectable files instead of complex frameworks.
Provide minimal project scaffolding to improve Claude's accuracy by including only essential, project-specific context and rules.
Automate email marketing workflows including subscriber management, campaign analytics, group segmentation, and account monitoring through MailerLite via Composio
This documentation is open source. We welcome feedback, suggestions, and PRs