Agent skill · AI & Agents

ml-expert

Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent...

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ml-expert-aiskillstore-marketplace --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/ai-ml/ml-expert-aiskillstore-marketplace/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ML Expert - Machine Learning Implementation Specialist **Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning model implementation, training, and optimization ## Description Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent with deep expertise in PyTorch, deep learning architectures, training techniques, and production ML systems. Use this skill when implementing new ML models, fixing training issues, optimizing performance, implementing research papers, or building production ML pipelines. ## Triggers This skill activates when users request: - "Implement this ML architecture" - "Fix the training code" - "Optimize model performance" - "Implement [paper/technique]" - "Build a training pipeline for..." - "Add [feature] to the model" - "Improve inference speed" ## Skill Architecture ### Skill Layer (Lightweight) The skill handles: 1. **Detection**: Identify ML implementation requests 2. **Context Gathering**: Collect requirements, existing code, constraints 3. **Agent Spawning**: Invoke ML exp

What's inside
Steps it walks through
  1. Description
  2. Triggers
  3. Skill Architecture
  4. Skill Layer (Lightweight)
  5. Agent Layer (Specialist)
  6. Communication Protocol
  7. Skill → Agent Context Package
  8. Agent → Skill Results
  9. Agent Spawning Logic
  10. Resources
  11. Scripts
  12. References
  13. Templates
  14. Custom Tools
Ships with 1 file
  • metadata.json
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About this skill
What does the ml-expert skill do?

Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent...

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ml-expert-aiskillstore-marketplace --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going