learnOpt-skill
learnOpt-skill is a Python AI agent skill for Codex. learnOpt-skill is an open-source AI agent skill for agent skills.
How to use learnOpt-skill
Compatible clients
What is learnOpt-skill?
learnOpt-skill is a Python AI agent skill for Codex. learnOpt-skill is an open-source AI agent skill for agent skills. 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
- Browser use support
- File editing support
- Document generation support
- OpenAI provider support
Technical details
- Built for Python
- Works with Codex
- Uses SSE transport
- API key required
- Network access
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 learnOpt-skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for codex users.
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Frequently asked questions
What is learnOpt-skill?
learnOpt-skill is a Python AI agent skill for Codex. mznmel/learnOpt-skill is an open-source Skills candidate discovered from GitHub.
Who is learnOpt-skill best for?
learnOpt-skill is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, codex users.
How do I install learnOpt-skill?
Check the learnOpt-skill GitHub repository for installation instructions.
Is learnOpt-skill actively maintained?
learnOpt-skill may need a closer maintenance check before production use.
Auto-fetched from GitHub.
