Build ML Pipeline
probabl-ai/skills
Declare the pipeline from data source to predictor as a skrub DataOps graph.
Design and implement a complete ML pipeline for: $ARGUMENTS. An agent skill from aiskillstore/marketplace.
Install Machine Learning Ops ML Pipeline
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .claude/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .claude/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipelineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .agents/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .agents/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .cursor/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .cursor/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/sickn33/machine-learning-ops-ml-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .gemini/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .gemini/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipelineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .github/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .github/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace machine-learning-ops-ml-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/machine-learning-ops-ml-pipeline .opencode/skills/machine-learning-ops-ml-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "machine-learning-ops-ml-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/machine-learning-ops-ml-pipeline into .opencode/skills/machine-learning-ops-ml-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-ops-ml-pipeline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
machine-learning-ops-ml-pipeline- GitHub stars
- 430
- Used in
- 7 other repos
- Token cost
- ~2.6k tokens
- SKILL.md length
- 1,078 words
- Files
- 2
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
Design and implement a complete ML pipeline for: $ARGUMENTS. An agent skill from aiskillstore/marketplace.
- Works in 4 steps: Data & Requirements Analysis → Model Development & Training → Production Deployment & Serving → …
- Tasks that involve MLOps
- SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Thinking, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Machine Learning Ops ML Pipeline is an agent skill from aiskillstore/marketplace. Design and implement a complete ML pipeline for: $ARGUMENTS
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in DevOps & Cloud, covering MLOps and Machine learning. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve MLOps
- Tasks that involve Machine learning
Example prompts
- “/machine-learning-ops-ml-pipeline”
Requirements
- Docker
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Data & Requirements Analysis
- Model Development & Training
- Production Deployment & Serving
- Monitoring & Continuous Improvement
What it can do on your machine
Read from SKILL.md and the folder at commit 755bc35. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Machine Learning Ops ML Pipeline loads about 2.6k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,078 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,078 words (~2,623 tokens).
“Design and implement a complete ML pipeline for: $ARGUMENTS”
- name
- machine-learning-ops-ml-pipeline
Files
SKILL.md and 1 other file in skills/sickn33/machine-learning-ops-ml-pipeline of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 755bc35
Used in 7 other repositories
We found 16 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- sickn33/agentic-awesome-skillsskills/machine-learning-ops-ml-pipelineplugins/agentic-awesome-skills/skills/machine-learning-ops-ml-pipeline+1 more
- rmyndharis/antigravity-skillsskills/machine-learning-ops-ml-pipeline
- Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI.agent/skills/machine-learning-ops-ml-pipeline
- agent-skills-hub/agent-skills-hubskills/machine-learning-ops-ml-pipeline
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/machine-learning-ops-ml-pipelineantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/machine-learning-ops-ml-pipeline+1 more
- benjaminasterA/antigravity-awesome-skillsskills/machine-learning-ops-ml-pipeline
- henryalouf/ruflow.agents/skills/machine-learning-ops-ml-pipeline.agents/skills/antigravity-awesome-skills/skills/machine-learning-ops-ml-pipeline+4 more
Compare with similar skills
Machine Learning Ops ML Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Machine Learning Ops ML Pipeline this skillaiskillstore/marketplace | 430 | 7 repos | ~2.6k | Automated safety check: Pass | None | |
| Build ML Pipelineprobabl-ai/skills | 138 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | |
| ML Pipeline Workflowwshobson/agents | 40k | 12 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Editomegaml/omegaml | 107 | — | ~206 | Automated safety check: Pass | Apache-2.0 | |
| ML Pipeline ExpertJeffallan/claude-skills | 12k | — | ~1.9k | Automated safety check: Pass | MIT | |
| MLflow Experiment TrackingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Machine Learning Ops ML Pipeline
What does Machine Learning Ops ML Pipeline do?
Design and implement a complete ML pipeline for: $ARGUMENTS. An agent skill from aiskillstore/marketplace. Machine Learning Ops ML Pipeline is an agent skill from aiskillstore/marketplace.
When should I use Machine Learning Ops ML Pipeline?
Machine Learning Ops ML Pipeline fits situations like: tasks that involve MLOps; tasks that involve Machine learning.
How do I install Machine Learning Ops ML Pipeline in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a claude-code`. Or copy the skill folder (skills/sickn33/machine-learning-ops-ml-pipeline in aiskillstore/marketplace) into .claude/skills/machine-learning-ops-ml-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Machine Learning Ops ML Pipeline in Codex?
Run `npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a codex`. Or copy the skill folder (skills/sickn33/machine-learning-ops-ml-pipeline in aiskillstore/marketplace) into .agents/skills/machine-learning-ops-ml-pipeline in your project. Codex loads it when a task matches its description.
Can I use Machine Learning Ops ML Pipeline in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill machine-learning-ops-ml-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/machine-learning-ops-ml-pipeline, .gemini/skills/machine-learning-ops-ml-pipeline, .github/skills/machine-learning-ops-ml-pipeline and .opencode/skills/machine-learning-ops-ml-pipeline in your project.
What does Machine Learning Ops ML Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Machine Learning Ops ML Pipeline is instructions for the agent only. Our summary lists: Docker.
Does Machine Learning Ops ML Pipeline access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Machine Learning Ops ML Pipeline safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Machine Learning Ops ML Pipeline use?
No licence was found for Machine Learning Ops ML Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Machine Learning Ops ML Pipeline use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Machine Learning Ops ML Pipeline?
Skills that share tags, products or a category with Machine Learning Ops ML Pipeline: Build ML Pipeline (probabl-ai/skills, 138 stars), ML Pipeline Workflow (wshobson/agents, 40k stars), Edit (omegaml/omegaml, 107 stars) and ML Pipeline Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Machine Learning Ops ML Pipeline?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.