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Agent skill

Discover ML

by rand in rand/cc-polymath

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.

MITAuto-check passedAI & LLM Engineering

Install Discover ML

skills CLI
$ npx skills add rand/cc-polymath --skill discover-ml -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rand/cc-polymath discover-ml --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discover-ml .claude/skills/discover-ml && rm -rf skills-src

Use ~/.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/

Facts

Skill name
discover-ml
GitHub stars
181
Token cost
~574 tokens
SKILL.md length
202 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 12 steps: custom-llm-evaluation → diffusion-finetuning → diffusion-model-basics → …
  • Tasks that involve Fine-tuning
  • SKILL.md covers When This Skill Activates, Available Skills, Progressive Loading and Usage Instructions
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discover ML is an agent skill from rand/cc-polymath. 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.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

It sits in AI & LLM Engineering, covering Fine-tuning, Deep learning and Diffusion and image models. It works with PyTorch and Hugging Face. The repository describes itself as: Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths. The licence is MIT.

When your agent uses it

  • Tasks that involve Fine-tuning
  • Tasks that involve Deep learning
  • Tasks that involve Diffusion and image models

Example prompts

  • “/discover-ml”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit baa2df1. 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.

  • Compatibility

    Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

    From compatibility in the SKILL.md frontmatter.

Context cost

Discover ML loads about 574 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 202 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~574

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

The full file from rand/cc-polymath at commit baa2df1, republished under its MIT licence (© rand). 202 words, ~574 tokens.

Download SKILL.mdSave it as .claude/skills/discover-ml/SKILL.md (or your agent's skills folder).
name
discover-ml
description
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.
compatibility
Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.
license
MIT
metadata.author
rand
metadata.version
4.0

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.

© rand, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/discover-ml of rand/cc-polymath.

Open the folder on GitHubat commit baa2df1

Compare with similar skills

Discover ML 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.

Discover ML compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discover ML this skillrand/cc-polymath181—~574Automated safety check: PassMIT
Cosmos3 Post TrainingNVIDIA/cosmos-framework559—~2.7kAutomated safety check: PassCustom licence
Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs13k2 repos~2.7kAutomated safety check: PassMIT
Sentence Transformers EmbeddingsOrchestra-Research/AI-Research-SKILLs13k2 repos~1.6kAutomated safety check: PassMIT
Nvflare Convert HuggingfaceNVIDIA/skills3.5k—~3.5kAutomated safety check: PassApache-2.0
Tao Finetune Huggingface ModelNVIDIA/skills3.5k—~4.9kAutomated safety check: NotesApache-2.0

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  • Ray Train Distributed Training

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  • Models

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  • Discover Database

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Works with

Categories

Questions about Discover ML

What does Discover ML do?

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. Discover ML is an agent skill from rand/cc-polymath. 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.

When should I use Discover ML?

Discover ML fits situations like: tasks that involve Fine-tuning; tasks that involve Deep learning; tasks that involve Diffusion and image models.

How do I install Discover ML in Claude Code?

Run `npx skills add rand/cc-polymath --skill discover-ml -a claude-code`. Or copy the skill folder (skills/discover-ml in rand/cc-polymath) into .claude/skills/discover-ml in your project. Claude Code loads it when a task matches its description.

How do I install Discover ML in Codex?

Run `npx skills add rand/cc-polymath --skill discover-ml -a codex`. Or copy the skill folder (skills/discover-ml in rand/cc-polymath) into .agents/skills/discover-ml in your project. Codex loads it when a task matches its description.

Can I use Discover ML 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 rand/cc-polymath --skill discover-ml -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discover-ml, .gemini/skills/discover-ml, .github/skills/discover-ml and .opencode/skills/discover-ml in your project.

What does Discover ML need to run?

SKILL.md names no scripts, command-line tools or credentials: Discover ML is instructions for the agent only. Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format..

Does Discover ML 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 Discover ML 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 Discover ML use?

Discover ML is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Discover ML use?

About 574 tokens (SKILL.md is roughly 2.3k 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 Discover ML?

Skills that share tags, products or a category with Discover ML: Cosmos3 Post Training (NVIDIA/cosmos-framework, 559 stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Sentence Transformers Embeddings (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Nvflare Convert Huggingface (NVIDIA/skills, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discover ML?

rand (a GitHub user) maintains it in rand/cc-polymath, which has 181 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on February 28, 2026.

Source: rand/cc-polymath on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.