Open source alternatives to ai-engineer
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About ai-engineer
ai-engineer
Build production-ready LLM applications, advanced RAG systems
ai-engineer is an agent skill for building production-grade LLM applications, advanced retrieval-augmented generation systems and intelligent agents. It covers vector search, embeddings, retrieval pipelines, multimodal AI, agent orchestration, AI safety, monitoring and cost controls. Use it when you are building or improving LLM features, RAG systems or agents, designing a production AI architecture and its model integration, optimising vector search, or adding safety, monitoring or cost limits to an AI feature. The skill says when not to use it: for pure data science or traditional machine learning without LLMs, for a quick interface change unrelated to AI features, or when there is no access to the data sources or deployment targets. It is part of the sickn33/agentic-awesome-skills repository on GitHub, which has about 47,600 stars. The listing shows it as free, and it has about 1,300 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-engineer.
- Price
- Free
- Made by
- sickn33
- Category
- AI Skills
- Website
- github.com/sickn33/agentic-awesome-skills/ai-engineer