gmlp
Skill1 starsChanged 8 months agoNo licenceView on GitHub
Delivery Hero's Global Machine Learning Platform (GMLP) reference. Use when the user wants to run or debug Metaflow flows, track experiments with MLflow, deploy workflows with Argo or DroneCI, connect to GMLP K8s clusters, configure .metaflowconfig.env, set up GPU nodes, onboard a new app, scaffold a project (gmlp project init), run batch inference, integrate Langfuse LLM observability, capture inference data with backend tracking SDK, load test with k6, use cloud notebooks, install GMLP SDK packages via uv/Poetry/GAR, set up Slack alerts, configure MCP servers or Claude plugins, or troubleshoot GMLP errors (VPN, 403, JSONDecodeError, container image issues).
- Reads credentials
In this repository6 other files it gives its agents.
- arch-reportSkill
- create-skillSkill
- presentationsSkill
- reportSkill
- auditSkill
- research-plannerSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 5 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

