ml
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npx skills add majiayu000/claude-skill-registry --skill ml --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
/*============================================================================*/ /* ML SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: ml version: 2.0.0 description: | [assert|neutral] Machine Learning development workflow with experiment tracking, hyperparameter optimization, and MLOps integration [ground:given] [conf:0.95] [state:confirmed] category: specialized-development tags: - machine-learning - mlops - experiment-tracking - hyperparameter-tuning - model-registry author: ruv cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute ml workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic specialized-development processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "ml", category: "specialized-development", version: "2.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGN
- Kanitsal Cerceve (Evidential Frame Activation)
- When to Use This Skill
- When NOT to Use This Skill
- Success Criteria
- Edge Cases to Handle
- Guardrails
- Evidence-Based Validation
- Overview
- Quick Start
- Workflow Phases
- 1. Experiment Design
- 2. Model Development
- 3. Hyperparameter Optimization
- 4. Model Evaluation
Initialize ML project npx claude-flow sparc run ml "Create ML project for image classification" Track experiment python resources/scripts/experiment-tracker.py --config experiment-config.yaml Optimize hyperparameters node resources/scripts/hyperparameter-tuner.js --space hyperparameter-space.json Deploy model bash resources/scripts/model-registry.sh deploy production latest
What does the ml skill do?
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How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ml --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.