ml-pipeline-workflow SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ml-pipeline-workflow from rudycity/superagent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rudycity/superagent/ml-pipeline-workflow@git:20260626.019dba9Pins git:20260626.019dba9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rudycity/superagent
- Path
.agents/skills/ml-pipeline-workflow/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260626.019dba9, committed Jun 26, 2026
- Size
- 7,095 bytes
- Repository stars
- 52
- License
- MIT
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ML Pipeline Workflow Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. ## Overview This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring. ## When to Use This Skill - Building new ML pipelines from scratch - Designing workflow orchestration for ML systems - Implementing data → model → deployment automation - Setting up reproducible training workflows - Creating DAG-based ML orchestration - Integrating ML components into production systems ## What This Skill Provides ### Core Capabilities 1. **Pipeline Architecture** - End-to-end workflow design - DAG orchestration patterns (Airflow, Dagster, Kubeflow) - Component dependencies and data flow - Error handling and retry strategies 2. **Data Preparation** - Data validation and quality checks - Feature engineering pipelines - Data versioning and lineage - Train/validation/test splitting strategies 3. **Model Training** - Training job orchestration - Hyperparameter management - Experiment tracking integration …
Read the whole file at its exact version.
How to install
mdr add rudycity/superagent/ml-pipeline-workflow@sha256:3049880901f70761The line at the top of this page pins the label git:20260626.019dba9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dku5nqpdnsigjsoy)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7095 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rudycity/superagent · 52 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dku5nqpdnsigjsoy GET https://markdownregistry.com/api/v1/resolve?ref=rudycity/superagent/ml-pipeline-workflow GET https://markdownregistry.com/api/v1/blob/3049880901f70761137ef8818c6e0e5c357e5d108b82be48003e98c882a31c8b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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