Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration.
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gustavscirulis/snapgrid core-ml --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .claude/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-mlType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gustavscirulis/snapgrid core-ml --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/skills/core-ml .agents/skills/core-ml && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .agents/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gustavscirulis/snapgrid core-ml --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/skills/core-ml .cursor/skills/core-ml && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .cursor/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gustavscirulis/snapgrid.git --path .claude/skills/skills/core-ml--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gustavscirulis/snapgrid core-ml --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/skills/core-ml .gemini/skills/core-ml && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .gemini/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gustavscirulis/snapgrid core-mlInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/skills/core-ml .github/skills/core-ml && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .github/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gustavscirulis/snapgrid --skill core-ml -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gustavscirulis/snapgrid core-ml --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/skills/core-ml .opencode/skills/core-ml && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "core-ml" agent skill from https://github.com/gustavscirulis/snapgrid/tree/main/.claude/skills/skills/core-ml into .opencode/skills/core-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-ml", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
core-mlCore 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. 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…
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit eb7eaf4. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGlobGrepBashAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
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.
Links to these hosts (documentation or services it may open):
developer.apple.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Glob, Grep, Bash, AskUserQuestionAutomated 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.
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.”
SKILL.md and 2 other files in .claude/skills/skills/core-ml of gustavscirulis/snapgrid.
Open the folder on GitHubat commit eb7eaf4
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Core ML this skillgustavscirulis/snapgrid | 117 | 1 repos | ~3.8k | Automated safety check: Notes | Custom licence | |
| Adapting Transfer Learning Modelsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| ML Cv Specialistalirezarezvani/claude-cto-team | 117 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Vision Sftwshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT | |
| Transformersynulihao/AgentSkillOS | 617 | — | ~2.9k | Automated safety check: Pass | None | |
| Tao Validate Recipe TransferNVIDIA/skills | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 |
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
alirezarezvani/claude-cto-team
Deep expertise in ML/CV model selection, training pipelines, and inference architecture.
wshobson/agents
Fine-tune vision-language models (VLMs) with supervised learning on image+text data.
ynulihao/AgentSkillOS
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers.
NVIDIA/skills
Port a published computer vision paper's official code and training recipe onto a customer's own dataset, or diagnose why such a transfer produced bad numbers.
franklee16/academic-research-skills
A skill your agent uses when targeting IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) or deciding whether a computer vision or machine learning manuscript fits this archival…
gustavscirulis/snapgrid
Design and implement microinteractions, motion design, transitions, and user feedback patterns.
gustavscirulis/snapgrid
Generates an Apple-compliant account deletion flow with multi-step confirmation UI, optional data export, configurable grace period, Keychain cleanup, and server-side deletion request.
gustavscirulis/snapgrid
AlarmKit integration for scheduling alarms and timers with custom UI, Live Activities, and snooze support.
gustavscirulis/snapgrid
Interpret app metrics and make data-driven decisions. An agent skill from gustavscirulis/snapgrid.
gustavscirulis/snapgrid
Generates protocol-based analytics infrastructure with swappable providers (TelemetryDeck, Firebase, Mixpanel).
gustavscirulis/snapgrid
Generates an in-app announcement banner system with remote configuration, scheduling, deep link actions, and dismiss tracking.
Categories
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.
Core ML fits situations like: user wants image classification; object detection; sound classification; model optimization.
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.
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.
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.
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.
SKILL.md names 1 domain. As links in the text: developer.apple.com. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.