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.
LanderWorks-Agents is a Claude Code agent skill that 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.
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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.
Source: https://github.com/LanderIglesias/LanderWorks-Agents
Discovered during the daily awesomeskills.dev agent-skill hunt.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors