Open source alternatives to prompt-engineering
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 prompt-engineering

prompt-engineering
Expert guide on prompt engineering patterns, best practices
prompt-engineering is an agent skill that is an expert guide to prompt engineering patterns, best practices and optimisation techniques for large language models. It covers techniques for making model output more reliable and controllable. Its first pattern is few-shot learning, which teaches the model by showing two to five example input and output pairs rather than explaining the rules. It is useful for consistent formatting, specific reasoning patterns and edge cases, and the skill notes that more examples improve accuracy but use more tokens, so the number should be balanced against the complexity of the task. Use it when you want to improve a prompt, learn prompting strategies, or get more consistent output from a model. 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 1,400 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 prompt-engineering.
- Price
- Free
- Made by
- sickn33
- Category
- AI Skills
- Website
- github.com/sickn33/agentic-awesome-skills/prompt-engineering











