ml-pipeline-creation
100 / 100 · Low risk
Fine to try.
Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates. Use when the user requests an ML pipeline, needs to turn model scripts into an orchestrated workflow, or provides pipeline components that must be connected safely.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'ml-pipeline-creation' ] || [ -L ~/.agents/skills/'ml-pipeline-creation' ]; then echo 'A skill folder named ml-pipeline-creation already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/seb1n/awesome-ai-agent-skills' "$d" && git -C "$d" checkout --quiet '75865a5d037a4cdaa7f409a4ec14ab9b0292920b' -- 'ai-ml-operations/ml-pipeline-creation' && mkdir -p ~/.agents/skills && cp -R "$d"/'ai-ml-operations/ml-pipeline-creation' ~/.agents/skills/'ml-pipeline-creation' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'ml-pipeline-creation' ~/.claude/skills/'ml-pipeline-creation' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/seb1n/awesome-ai-agent-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 75865a5 | 100 |