Agent skill

Core ML

by gustavscirulis in gustavscirulis/snapgrid

Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration.

Custom licenceAuto-check: notesAI & LLM Engineering

Install Core ML

skills CLI
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a claude-code

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

GitHub CLI
$ gh skill install gustavscirulis/snapgrid core-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/gustavscirulis/snapgrid.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/skills/core-ml .claude/skills/core-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
core-ml
GitHub stars
117
Used in
1 other repo
Token cost
~3.8k tokens
SKILL.md length
1,085 words
Files
3
Skills in repo
118
Repo updated
First seen
Licence
Custom licence

At a glance

Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration.

  • Works in 5 steps: Project Context Detection → Conflict Detection → Determine Capability → …
  • User wants image classification
  • SKILL.md covers When This Skill Activates, Decision Guide: Core ML vs…, Pre-Generation Checks and Configuration Questions, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Core ML is an agent skill from gustavscirulis/snapgrid. Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `patterns.md` and `templates.md`).

It sits in AI & LLM Engineering, covering Computer vision and Machine learning. The repository describes itself as: SnapGrid is an open-source Mac app for collecting, organizing, and analyzing UI screenshots. It uses AI to automatically detect UI components and patterns, making it a powerful…

When your agent uses it

  • User wants image classification
  • Object detection
  • Sound classification
  • Model optimization

Example prompts

  • “/core-ml”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Project Context Detection
  2. Conflict Detection
  3. Determine Capability
  4. Generate Core Files
  5. Determine File Location

What it can do on your machine

Read from SKILL.md and the folder at commit eb7eaf4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Bash
    • AskUserQuestion

    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 swift and python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • developer.apple.com

    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

Core ML loads about 3.8k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,085 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,085 words (~3,788 tokens).

“Combined advisory, generator, and workflow skill for integrating machine learning into Apple platform apps. Covers Core ML model integration, Vision framework image analysis, NaturalLanguage framework text processing, Create ML training, and on-device model optimization.”

— opening of SKILL.md by gustavscirulis, Custom licence
name
core-ml
allowed-tools
Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in .claude/skills/skills/core-ml of gustavscirulis/snapgrid.

  • SKILL.md
  • patterns.md
  • templates.md

Open the folder on GitHubat commit eb7eaf4

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 gustavscirulis/snapgrid, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Core 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.

Core ML compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Core ML this skillgustavscirulis/snapgrid1171 repos~3.8kAutomated safety check: NotesCustom licence
Adapting Transfer Learning Modelsjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
ML Cv Specialistalirezarezvani/claude-cto-team117—~3.1kAutomated safety check: PassMIT
Vision Sftwshobson/agents40k—~2kAutomated safety check: PassMIT
Transformersynulihao/AgentSkillOS617—~2.9kAutomated safety check: PassNone
Tao Validate Recipe TransferNVIDIA/skills3.5k—~4.2kAutomated safety check: NotesApache-2.0

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Questions about Core ML

What does Core ML do?

Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Core ML is an agent skill from gustavscirulis/snapgrid. Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration.

When should I use Core ML?

Core ML fits situations like: user wants image classification; object detection; sound classification; model optimization.

How do I install Core ML in Claude Code?

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

How do I install Core ML in Codex?

Run `npx skills add gustavscirulis/snapgrid --skill core-ml -a codex`. Or copy the skill folder (.claude/skills/skills/core-ml in gustavscirulis/snapgrid) into .agents/skills/core-ml in your project. Codex loads it when a task matches its description.

Can I use Core 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 gustavscirulis/snapgrid --skill core-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/core-ml, .gemini/skills/core-ml, .github/skills/core-ml and .opencode/skills/core-ml in your project.

What does Core ML need to run?

SKILL.md names no scripts, command-line tools or credentials: Core ML is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion.

Does Core ML access the network?

SKILL.md names 1 domain. As links in the text: developer.apple.com. This is read from the text; nothing was executed.

Is Core ML safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Core ML use?

Core ML has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Core ML use?

About 3.8k tokens (SKILL.md is roughly 15k 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 Core ML?

Skills that share tags, products or a category with Core ML: Adapting Transfer Learning Models (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), ML Cv Specialist (alirezarezvani/claude-cto-team, 117 stars), Vision Sft (wshobson/agents, 40k stars) and Transformers (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Core ML?

gustavscirulis (a GitHub user) maintains it in gustavscirulis/snapgrid, which has 117 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on April 30, 2026.

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