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SKILL verified MIT Self-run

Discover Ml

skill-rand-cc-polymath-discover-ml · by rand

Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. Activates for ML development tasks.

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Install

$ agentstack add skill-rand-cc-polymath-discover-ml

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-rand-cc-polymath-discover-ml)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
6mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Ml Skills Discovery

Provides automatic access to comprehensive ml skills.

When This Skill Activates

This skill auto-activates when you're working with:

  • machine learning
  • ML
  • AI
  • models
  • training
  • inference
  • PyTorch
  • TensorFlow
  • Modal
  • serverless functions
  • cloud deployment
  • GPU workloads
  • web endpoints
  • Modal platform

Available Skills

Quick Reference

The ML category contains 42 skills across 2 subcategories:

ML (34 skills):

  1. custom-llm-evaluation
  2. diffusion-finetuning
  3. diffusion-model-basics
  4. dspy-assertions
  5. dspy-evaluation
  6. dspy-modules
  7. dspy-optimizers
  8. dspy-rag
  9. dspy-setup
  10. dspy-signatures
  11. graph-rag
  12. hierarchical-rag
  13. hybrid-search-rag
  14. llm-as-judge
  15. llm-benchmarks-evaluation
  16. llm-dataset-preparation
  17. llm-evaluation-frameworks
  18. llm-model-routing
  19. llm-model-selection
  20. lora-peft-techniques
  21. multi-model-orchestration
  22. rag-evaluation-metrics
  23. rag-reranking-techniques
  24. stable-diffusion-deployment
  25. unsloth-finetuning

Plus 9 more in ../ml/INDEX.md

Modal (8 skills): See ../modal/INDEX.md

Load Full Category Details

Read ../ml/INDEX.md Read ../modal/INDEX.md

Progressive Loading

This gateway skill enables progressive loading:

  • Level 1: Gateway loads automatically (you're here now)
  • Level 2: Load category INDEX.md for full overview
  • Level 3: Load specific skills as needed

Usage Instructions

  1. Auto-activation: This skill loads automatically when Claude Code detects ml work
  2. Browse skills: Run Read ../ml/INDEX.md for full category overview
  3. Load specific skills: Use bash commands above to load individual skills

Next Steps: Run Read ../ml/INDEX.md to see full category details.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.