Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Specialized ML model development, training, and deployment workflow
Install When Developing ML Models Use ML Expert
$ npx skills add aiskillstore/marketplace --skill when-developing-ml-models-use-ml-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace when-developing-ml-models-use-ml-expert --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/dnyoussef/when-developing-ml-models-use-ml-expert .claude/skills/when-developing-ml-models-use-ml-expert && 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 "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .claude/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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/dnyoussef/when-developing-ml-models-use-ml-expertType 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 when-developing-ml-models-use-ml-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace when-developing-ml-models-use-ml-expert --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/dnyoussef/when-developing-ml-models-use-ml-expert .agents/skills/when-developing-ml-models-use-ml-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .agents/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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 when-developing-ml-models-use-ml-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace when-developing-ml-models-use-ml-expert --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/dnyoussef/when-developing-ml-models-use-ml-expert .cursor/skills/when-developing-ml-models-use-ml-expert && 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 "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .cursor/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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/dnyoussef/when-developing-ml-models-use-ml-expert--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 when-developing-ml-models-use-ml-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace when-developing-ml-models-use-ml-expert --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/dnyoussef/when-developing-ml-models-use-ml-expert .gemini/skills/when-developing-ml-models-use-ml-expert && 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 "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .gemini/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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 when-developing-ml-models-use-ml-expertInstalls 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 when-developing-ml-models-use-ml-expert -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/dnyoussef/when-developing-ml-models-use-ml-expert .github/skills/when-developing-ml-models-use-ml-expert && 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 "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .github/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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 when-developing-ml-models-use-ml-expert -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 when-developing-ml-models-use-ml-expert --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/dnyoussef/when-developing-ml-models-use-ml-expert .opencode/skills/when-developing-ml-models-use-ml-expert && 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 "when-developing-ml-models-use-ml-expert" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-developing-ml-models-use-ml-expert into .opencode/skills/when-developing-ml-models-use-ml-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "when-developing-ml-models-use-ml-expert", 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
when-developing-ml-models-use-ml-expert- GitHub stars
- 430
- Used in
- 1 other repo
- Token cost
- ~3k tokens
- SKILL.md length
- 280 words
- Files
- 5
- Skills in repo
- 1,108
- Repo updated
- First seen
- Licence
- None found
At a glance
Specialized ML model development, training, and deployment workflow
- Works in 5 steps: Data Preparation (10 min) → Model Selection (10 min) → Train Model (20 min) → …
- Tasks that involve Machine learning
- SKILL.md covers Overview, When to Use, Phase 1: Data Preparation (10… and Phase 2: Model Selection (10…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
When Developing ML Models Use ML Expert is an agent skill from aiskillstore/marketplace. Specialized ML model development, training, and deployment workflow
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `PROCESS.md`, `README.md` and `skill-report.json`).
It sits in Data & Analytics, covering 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 Machine learning
Example prompts
- “/when-developing-ml-models-use-ml-expert”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Data Preparation (10 min)
- Model Selection (10 min)
- Train Model (20 min)
- Validate Performance (10 min)
- Deploy to Production (15 min)
What it can do on your machine
Read from SKILL.md and the folder at commit ad8daf7. 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 (its code samples are python and markdown).
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
When Developing ML Models Use ML Expert loads about 3k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 280 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 280 words (~2,969 tokens).
“Specialized workflow for ML model development, training, and deployment. Supports various architectures (CNNs, RNNs, Transformers) with distributed training capabilities.”
- name
- when-developing-ml-models-use-ml-expert
- version
- 1.0.0
- category
- machine-learning
- tags
- ml, training, deployment, model-development, neural-networks
- agents
- ml-developer, researcher, tester
- difficulty
- advanced
- estimated_duration
- 45-90min
- success_criteria
- Model trained successfully, Validation metrics meet targets, Production deployment ready, Documentation complete
- validation_method
- performance_metrics
- dependencies
- claude-flow@alpha, tensorflow/pytorch, flow-nexus (optional for distributed training)
- outputs
- Trained model file, Training metrics, Evaluation report, Deployment package
Files
SKILL.md and 4 other files in skills/dnyoussef/when-developing-ml-models-use-ml-expert of aiskillstore/marketplace.
- SKILL.md
- PROCESS.md
- README.md
- process-diagram.gv
- skill-report.json
Open the folder on GitHubat commit ad8daf7
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
Compare with similar skills
When Developing ML Models Use ML Expert 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 |
|---|---|---|---|---|---|---|
| When Developing ML Models Use ML Expert this skillaiskillstore/marketplace | 430 | 1 repos | ~3k | Automated safety check: Pass | None | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Retention Analysisliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.3k | Automated safety check: Notes | None | |
| Geomlitalo-goncalves/geoML | 109 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 |
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Related
Categories
Questions about When Developing ML Models Use ML Expert
What does When Developing ML Models Use ML Expert do?
Specialized ML model development, training, and deployment workflow. When Developing ML Models Use ML Expert is an agent skill from aiskillstore/marketplace.
When should I use When Developing ML Models Use ML Expert?
When Developing ML Models Use ML Expert fits situations like: tasks that involve Machine learning.
How do I install When Developing ML Models Use ML Expert in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill when-developing-ml-models-use-ml-expert -a claude-code`. Or copy the skill folder (skills/dnyoussef/when-developing-ml-models-use-ml-expert in aiskillstore/marketplace) into .claude/skills/when-developing-ml-models-use-ml-expert in your project. Claude Code loads it when a task matches its description.
How do I install When Developing ML Models Use ML Expert in Codex?
Run `npx skills add aiskillstore/marketplace --skill when-developing-ml-models-use-ml-expert -a codex`. Or copy the skill folder (skills/dnyoussef/when-developing-ml-models-use-ml-expert in aiskillstore/marketplace) into .agents/skills/when-developing-ml-models-use-ml-expert in your project. Codex loads it when a task matches its description.
Can I use When Developing ML Models Use ML Expert 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 when-developing-ml-models-use-ml-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/when-developing-ml-models-use-ml-expert, .gemini/skills/when-developing-ml-models-use-ml-expert, .github/skills/when-developing-ml-models-use-ml-expert and .opencode/skills/when-developing-ml-models-use-ml-expert in your project.
What does When Developing ML Models Use ML Expert need to run?
SKILL.md names no scripts, command-line tools or credentials: When Developing ML Models Use ML Expert is instructions for the agent only. Our summary lists: Python 3.
Does When Developing ML Models Use ML Expert 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 When Developing ML Models Use ML Expert 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 When Developing ML Models Use ML Expert use?
No licence was found for When Developing ML Models Use ML Expert or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does When Developing ML Models Use ML Expert use?
About 3k tokens (SKILL.md is roughly 12k 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 When Developing ML Models Use ML Expert?
Skills that share tags, products or a category with When Developing ML Models Use ML Expert: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars) and Retention Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains When Developing ML Models Use ML Expert?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 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.