Agent skill

Vision Decompose

by ReshefElisha in ReshefElisha/jarvis-onshape-mcp

Look at an engineering reference image (drawing, iso render, photo) and produce a structured feature decomposition BEFORE building anything in Onshape.

Custom licenceAuto-check passedAgent Workflows

Install Vision Decompose

skills CLI
$ npx skills add ReshefElisha/jarvis-onshape-mcp --skill vision-decompose -a claude-code

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

GitHub CLI
$ gh skill install ReshefElisha/jarvis-onshape-mcp vision-decompose --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/ReshefElisha/jarvis-onshape-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vision-decompose .claude/skills/vision-decompose && 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
vision-decompose
GitHub stars
174
Token cost
~1.9k tokens
SKILL.md length
853 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
Custom licence

At a glance

Look at an engineering reference image (drawing, iso render, photo) and produce a structured feature decomposition BEFORE building anything in Onshape.

  • Works in 6 steps: Overview scan. Look at the attached… → Cache + count. For each reference image… → Crop-and-describe each feature. For… → …
  • Gives you a reference image and asks you to model it
  • SKILL.md covers What you have, What you produce, Think out loud as you work and How to work, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vision Decompose is an agent skill from ReshefElisha/jarvis-onshape-mcp. Look at an engineering reference image (drawing, iso render, photo) and produce a structured feature decomposition BEFORE building anything in Onshape. Output is a feature tree the user can review and the build phase can execute against. Use this whenever the user gives you a reference image and asks you to model it. Skip if the user has already described the part in plain text.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Jarvis Onshape MCP — Claude Code plugin for driving real Onshape CAD. Vision-decomposition skill + truth-telling + parametric iteration + FeatureScript.

When your agent uses it

  • Gives you a reference image and asks you to model it

Example prompts

  • “/vision-decompose”

Workflow steps

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

  1. Overview scan. Look at the attached images for ~5 seconds. Write the
  2. Cache + count. For each reference image path, call
  3. Crop-and-describe each feature. For every feature you counted, use
  4. Handle the drawing specifically if you have one. For dimension
  5. Self-check coverage. Before finalizing, ask: does my feature tree cover
  6. Output the structured response. No preamble, no reasoning, just the

What it can do on your machine

Read from SKILL.md and the folder at commit b0e7258. 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.

Context cost

Vision Decompose loads about 1.9k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 853 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 853 words (~1,937 tokens).

“When the user shares an engineering reference image and asks you to build it, your first job is NOT to start create_document. It is to produce a rigorous, structured feature tree the user can sanity-check and the build phase can…”

— opening of SKILL.md by ReshefElisha, Custom licence
name
vision-decompose

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/vision-decompose of ReshefElisha/jarvis-onshape-mcp.

Open the folder on GitHubat commit b0e7258

Compare with similar skills

Vision Decompose 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.

Vision Decompose compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vision Decompose this skillReshefElisha/jarvis-onshape-mcp174—~1.9kAutomated safety check: PassCustom licence
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Vision Decompose

What does Vision Decompose do?

Look at an engineering reference image (drawing, iso render, photo) and produce a structured feature decomposition BEFORE building anything in Onshape. Vision Decompose is an agent skill from ReshefElisha/jarvis-onshape-mcp. Look at an engineering reference image (drawing, iso render, photo) and produce a structured feature decomposition BEFORE building anything in Onshape.

When should I use Vision Decompose?

Vision Decompose fits situations like: gives you a reference image and asks you to model it.

How do I install Vision Decompose in Claude Code?

Run `npx skills add ReshefElisha/jarvis-onshape-mcp --skill vision-decompose -a claude-code`. Or copy the skill folder (skills/vision-decompose in ReshefElisha/jarvis-onshape-mcp) into .claude/skills/vision-decompose in your project. Claude Code loads it when a task matches its description.

How do I install Vision Decompose in Codex?

Run `npx skills add ReshefElisha/jarvis-onshape-mcp --skill vision-decompose -a codex`. Or copy the skill folder (skills/vision-decompose in ReshefElisha/jarvis-onshape-mcp) into .agents/skills/vision-decompose in your project. Codex loads it when a task matches its description.

Can I use Vision Decompose 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 ReshefElisha/jarvis-onshape-mcp --skill vision-decompose -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vision-decompose, .gemini/skills/vision-decompose, .github/skills/vision-decompose and .opencode/skills/vision-decompose in your project.

What does Vision Decompose need to run?

SKILL.md names no scripts, command-line tools or credentials: Vision Decompose is instructions for the agent only.

Does Vision Decompose 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 Vision Decompose 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 Vision Decompose use?

Vision Decompose 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 Vision Decompose use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Vision Decompose?

Skills that share tags, products or a category with Vision Decompose: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vision Decompose?

ReshefElisha (a GitHub user) maintains it in ReshefElisha/jarvis-onshape-mcp, which has 174 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on April 22, 2026.

Source: ReshefElisha/jarvis-onshape-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.