ai-engineering Skill
ai-engineering is a Python AI agent skill for Cursor, VS Code, Codex with uvx/pip. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.
How to use ai-engineering Skill
Install or run
uv tool install --force ai-engineering
uv tool update-shell
exec "$SHELL" -lCompatible clients
What is ai-engineering Skill?
ai-engineering is a Python AI agent skill for Cursor, VS Code, Codex with uvx/pip. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Presentation work support
- Document generation support
- OpenAI provider support
- Anthropic provider support
Available tools
Technical details
Install or run ai-engineering using uvx/pip. Check arcasilesgroup/ai-engineering for the latest setup command.
- Built for Python
- Built for Go
- Built for Rust
- Install or run with uvx/pip
- Works with Cursor
- Works with VS Code
- Works with Codex
- Uses SSE transport
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use ai-engineering Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for research workflows.
- Use it for cursor users.
Built with
Explore related resources
Frequently asked questions
What is ai-engineering?
ai-engineering is a Python AI agent skill for Cursor, VS Code, Codex with uvx/pip. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.
Who is ai-engineering best for?
ai-engineering is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, research workflows, cursor users.
How do I install ai-engineering?
Install or run ai-engineering using uvx/pip. Check ai-engineering for the latest setup command.
Is ai-engineering actively maintained?
ai-engineering may need a closer maintenance check before production use.
