China Patent Figure Skill

Generate patent figures from a 3D CAD assembly (STEP) by writing one figure-plan.json that scripts render deterministically into assembly and exploded DXF sheets with leaders and reference numerals, and clean or convert existing patent line drawings (DWG, DXF, Matplotlib, PDF, raster) into continuous-line DXF plus an AutoCAD-audited DWG with reference numerals removed and functional labels preserved.

27 stars 1 forksImages, Video & Audio

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add PisenAILab/china-patent-figure-skill --skill china-patent-figure-skill
Manual install
git clone --depth 1 https://github.com/PisenAILab/china-patent-figure-skill.git /tmp/china-patent-figure-skill
mkdir -p ~/.claude/skills
cp -r /tmp/china-patent-figure-skill/. ~/.claude/skills/china-patent-figure-skill

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 中国专利附图 Skill

**中国专利附图 Skill** turns a 3D assembly (STEP) into CNIPA-style patent figures (说明书附图) with reference numerals and leaders, and nothing more (no claim drafting, no search). The Python package directory stays `patent_figure_kit`; the CLI is `pfk`. The Web workbench, CLI, REST and MCP all report this display name.

Two routes. Pick one by input type and do not mix them.

| Input | Route | Where the geometry comes from |
| --- | --- | --- |
| 3D CAD assembly — `.stp` / `.step` | **Route A**, below | computed by `scripts/patent_figure/*` from a plan you write |
| Existing DXF | Route B | the source file, cleaned in place on a copy |
| Existing DWG | Route B (convert to DXF first) | the source file |
| Matplotlib or other vector | Route B | the source artists / paths |
| PDF, PNG, JPG | Route B | extracted vector paths, or a traced reconstruction |

`scripts/cad_hlr_to_dxf.py` remains the **legacy single-view** STEP route: one view, no per-part
leaders, no numerals, no multi-figure split. Do not use it to produce a filing figure. Everything
below in Route A supersedes it.

---

## Route A — 3D CAD assembly to patent figures

**Your only output artefact is `figure-plan.json`.** No coordinate, text height, layout constant or
numeral is ever written by you: the scripts compute all of them. The full specification is
[docs/impl-contract.md](docs/impl-contract.md). Read the contract before deviating from
Read the full skill on GitHub

Details

Skill name
china-patent-figure-skill
License
MIT
Repo updated
30 October 2026

FAQ

What does the China Patent Figure Skill skill do?

Generate patent figures from a 3D CAD assembly (STEP) by writing one figure-plan.json that scripts render deterministically into assembly and exploded DXF sheets with leaders and reference numerals, and clean or convert existing patent line drawings (DWG, DXF, Matplotlib, PDF, raster) into continuous-line DXF plus an AutoCAD-audited DWG with reference numerals removed and functional labels preserved.

How do I install the China Patent Figure Skill skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add PisenAILab/china-patent-figure-skill --skill china-patent-figure-skill. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is China Patent Figure Skill popular?

It lives in PisenAILab/china-patent-figure-skill, which has 27 GitHub stars and 1 forks.

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