tpsp Skill
tpsp is a Go AI agent skill for Codex with docker. CLI para status das linhas de trem e metrô de São Paulo
How to use tpsp Skill
What is tpsp Skill?
tpsp is a Go AI agent skill for Codex with docker. CLI para status das linhas de trem e metrô de São Paulo 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
- Document generation support
- Dockerfile config support
- .codex/skills/repo-commit-and-push/SKILL.md config support
- .codex/skills/tpsp-cli-http/SKILL.md config support
Technical details
Install or run tpsp using docker. Check caian-org/tpsp for the latest setup command.
- Built for Go
- Built for Python
- Built for Docker
- Install or run with docker
- Works with Codex
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 tpsp 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.
Built with
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Frequently asked questions
What is tpsp?
tpsp is a Go AI agent skill for Codex with docker. CLI para status das linhas de trem e metrô de São Paulo
Who is tpsp best for?
tpsp is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, codex users.
How do I install tpsp?
Install or run tpsp using docker. Check tpsp for the latest setup command.
Is tpsp actively maintained?
tpsp may need a closer maintenance check before production use.
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