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patentfig-ai-patent-drawing

가격 미확인★ 0 GitHub 스타목록 업데이트 · 2026년 9월 6일agent-skill

개요

Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.

전체 설명 읽기

소스 문서이며 이 웹사이트의 실행 지침이 아닙니다. 명령 실행 전에 권한을 확인하세요.

PatentFig AI API

Generate and convert patent figures through the PatentFig AI REST API.

Base URL: https://patentfig.ai/api/v1
Auth: Authorization: Bearer $PATENTFIG_API_KEY
All endpoints are synchronous and return JSON: { "success": true, "data": {...} } on success, { "success": false, "error": { "code", "message" } } on failure.
Generated files are returned as URLs on https://cdn.patentfig.ai — pass them to the user or feed them into follow-up calls.

Setup

The key comes from the PATENTFIG_API_KEY environment variable. Never hardcode it, print it, or write it into files or logs.

If the variable is not set, tell the user to create a key at https://patentfig.ai/settings/api-keys (requires a PatentFig AI account; keys start with pfig_) and export it:

export PATENTFIG_API_KEY="pfig_..."

Verify connectivity and credit balance (free call):

curl -s https://patentfig.ai/api/v1/credits \
  -H "Authorization: Bearer $PATENTFIG_API_KEY"
# → { "success": true, "data": { "balance": 500 } }

Generate a patent figure (10 credits)

POST /figures — the core endpoint. One prompt → one figure. Views, diagram type, and composition are all controlled through the prompt; for a multi-view set (front/side/top), make one call per view.

curl -s -X POST https://patentfig.ai/api/v1/figures \
  -H "Authorization: Bearer $PATENTFIG_API_KEY" \
  -H "Content-Type: application/json" \
  --max-time 300 \
  -d '{
    "prompt": "Exploded view of a wireless earbud charging case showing lid, hinge, charging coil, and battery",
    "output": "svg",
    "labeled": true
  }'

output: "png" (raster figure) or "svg" (stroke-based line art, CAD-friendly). Default "png".
labeled: true adds patent-style numeric reference callouts (100, 102, …).
referenceImageUrls: up to 4 public image URLs (sketch/photo/prior figure) used as the structural baseline.
Response data.url is the figure; with output: "svg" the full SVG source is also in data.svg.

Prompting tips: name the parts to draw (names tell the model WHAT to draw, not what to label); for flowcharts/block diagrams, name every node explicitly.

Convert an existing image

All three endpoints accept either JSON with imageUrl (public URL) or multipart/form-data with a file field (PNG/JPEG/WebP/TIFF, ≤10 MB).

Vectorize (20 credits) — raster → SVG / DXF / vector PDF:

curl -s -X POST https://patentfig.ai/api/v1/vectorize \
  -H "Authorization: Bearer $PATENTFIG_API_KEY" \
  -H "Content-Type: application/json" \
  --max-time 300 \
  -d '{ "imageUrl": "https://example.com/drawing.png", "format": "dxf", "engine": "lineart" }'

engine: "lineart" (default) redraws as clean single-stroke patent line art — use for CAD/DXF. engine: "trace" reproduces the input pixels faithfully, preserving fills — use when output must match the original.

Enhance (20 credits) — AI super-resolution: POST /enhance with scale (2 or 4, controls pixels) and dpi (300 or 600, metadata stamp only).

Convert (20 credits) — filing-ready raster: POST /convert with format (png/tiff/pdf) and dpi (300 or 600).

Full parameter tables for every endpoint: see references/endpoints.md. Machine-readable spec: https://patentfig.ai/api/openapi.yaml

Operational rules

Before any credit-consuming call, state the operation and its credit cost, then get the user's confirmation immediately before execution.
Set a client timeout of at least 300 seconds — generation and vectorization take from ~20s up to a few minutes.
Credits are charged only on success; retrying a failed call never double-bills.
Rate limit: 60 requests/minute per key. On 429 back off (start at 5s) and retry.
On 402 INSUFFICIENT_CREDITS, stop and tell the user to top up at https://patentfig.ai/pricing.
On 500 GENERATION_FAILED, one retry is reasonable; persistent failures usually mean the input doesn't suit the pipeline (e.g., a photo sent for line-art vectorization — suggest POST /figures with the photo as referenceImageUrls instead).
Before a batch of billable calls, check GET /credits and confirm the balance covers it.

소스 보기 ↗

파일 메타데이터

name: patentfig-ai-patent-drawing
description: Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.
license: MIT
metadata:
  slug: patentfig-ai-patent-drawing
  displayName: PatentFig AI Patent Drawing
  version: 1.0.0
  summary: Generate patent line art, numbered figures, and filing-ready vector or raster outputs with PatentFig AI.
  author: TopLocalAI, LLC
  homepage: https://patentfig.ai
  repository: https://github.com/TopLocalAI/patentfig-skill
  docs: https://patentfig.ai/docs

원문 보기

---
name: patentfig-ai-patent-drawing
description: Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.
license: MIT
metadata:
  slug: patentfig-ai-patent-drawing
  displayName: PatentFig AI Patent Drawing
  version: 1.0.0
  summary: Generate patent line art, numbered figures, and filing-ready vector or raster outputs with PatentFig AI.
  author: TopLocalAI, LLC
  homepage: https://patentfig.ai
  repository: https://github.com/TopLocalAI/patentfig-skill
  docs: https://patentfig.ai/docs
---

# PatentFig AI API

Generate and convert patent figures through the PatentFig AI REST API.

- **Base URL**: `https://patentfig.ai/api/v1`
- **Auth**: `Authorization: Bearer $PATENTFIG_API_KEY`
- **All endpoints are synchronous** and return JSON: `{ "success": true, "data": {...} }` on success, `{ "success": false, "error": { "code", "message" } }` on failure.
- Generated files are returned as URLs on `https://cdn.patentfig.ai` — pass them to the user or feed them into follow-up calls.

## Setup

The key comes from the `PATENTFIG_API_KEY` environment variable. Never hardcode it, print it, or write it into files or logs.

If the variable is not set, tell the user to create a key at https://patentfig.ai/settings/api-keys (requires a PatentFig AI account; keys start with `pfig_`) and export it:

```bash
export PATENTFIG_API_KEY="pfig_..."
```

Verify connectivity and credit balance (free call):

```bash
curl -s https://patentfig.ai/api/v1/credits \
  -H "Authorization: Bearer $PATENTFIG_API_KEY"
# → { "success": true, "data": { "balance": 500 } }
```

## Generate a patent figure (10 credits)

`POST /figures` — the core endpoint. One prompt → one figure. Views, diagram type, and composition are all controlled through the prompt; for a multi-view set (front/side/top), make one call per view.

```bash
curl -s -X POST https://patentfig.ai/api/v1/figures \
  -H "Authorization: Bearer $PATENTFIG_API_KEY" \
  -H "Content-Type: application/json" \
  --max-time 300 \
  -d '{
    "prompt": "Exploded view of a wireless earbud charging case showing lid, hinge, charging coil, and battery",
    "output": "svg",
    "labeled": true
  }'
```

- `output`: `"png"` (raster figure) or `"svg"` (stroke-based line art, CAD-friendly). Default `"png"`.
- `labeled: true` adds patent-style numeric reference callouts (100, 102, …).
- `referenceImageUrls`: up to 4 public image URLs (sketch/photo/prior figure) used as the structural baseline.
- Response `data.url` is the figure; with `output: "svg"` the full SVG source is also in `data.svg`.

Prompting tips: name the parts to draw (names tell the model WHAT to draw, not what to label); for flowcharts/block diagrams, name every node explicitly.

## Convert an existing image

All three endpoints accept either JSON with `imageUrl` (public URL) or `multipart/form-data` with a `file` field (PNG/JPEG/WebP/TIFF, ≤10 MB).

**Vectorize (20 credits)** — raster → SVG / DXF / vector PDF:

```bash
curl -s -X POST https://patentfig.ai/api/v1/vectorize \
  -H "Authorization: Bearer $PATENTFIG_API_KEY" \
  -H "Content-Type: application/json" \
  --max-time 300 \
  -d '{ "imageUrl": "https://example.com/drawing.png", "format": "dxf", "engine": "lineart" }'
```

`engine: "lineart"` (default) redraws as clean single-stroke patent line art — use for CAD/DXF. `engine: "trace"` reproduces the input pixels faithfully, preserving fills — use when output must match the original.

**Enhance (20 credits)** — AI super-resolution: `POST /enhance` with `scale` (2 or 4, controls pixels) and `dpi` (300 or 600, metadata stamp only).

**Convert (20 credits)** — filing-ready raster: `POST /convert` with `format` (`png`/`tiff`/`pdf`) and `dpi` (300 or 600).

Full parameter tables for every endpoint: see [references/endpoints.md](references/endpoints.md). Machine-readable spec: https://patentfig.ai/api/openapi.yaml

## Operational rules

- Before any credit-consuming call, state the operation and its credit cost,
  then get the user's confirmation immediately before execution.
- **Set a client timeout of at least 300 seconds** — generation and vectorization take from ~20s up to a few minutes.
- Credits are charged **only on success**; retrying a failed call never double-bills.
- Rate limit: 60 requests/minute per key. On `429` back off (start at 5s) and retry.
- On `402 INSUFFICIENT_CREDITS`, stop and tell the user to top up at https://patentfig.ai/pricing.
- On `500 GENERATION_FAILED`, one retry is reasonable; persistent failures usually mean the input doesn't suit the pipeline (e.g., a photo sent for line-art vectorization — suggest `POST /figures` with the photo as `referenceImageUrls` instead).
- Before a batch of billable calls, check `GET /credits` and confirm the balance covers it.

소스 확인

가격 및 실행 비용

Skill 받기: 가격 미확인
실행: 실행 요구 사항이 확인되지 않았습니다. 제공처에서 Agent, API 및 서비스 요금을 확인하세요.
라이선스: MIT
가격 미확인: 가격을 아직 확인하지 못했습니다. 기존 소스 및 설치 링크는 계속 이용할 수 있습니다.

무료 다운로드가 무료 실행을 뜻하지 않습니다. 가격은 안전 등급이 아닙니다. 가격 정보 제출 →

소스 재검토 필요

소스가 변경되었거나 동기화에 실패했습니다. 설치 전에 현재 소스를 확인하세요.

설치 전 검토: 자동 설치 피하기

라이선스: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill relies on an external API key and instructs users not to hardcode or print it, but it could be more explicit that the agent must never echo, log, or transmit the key outside the intended Authorization header.
Metadata tags are nested under the `metadata` field rather than provided as top-level `tags`/`frameworks`, so the parsed metadata shows `tags: []` and may hurt discoverability.
The provided SKILL.md excerpt ends mid-sentence, so the full operational rules section should be confirmed to be present and complete in the repository.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 0 GitHub stars
Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

전체 감사 열기

도구 목록은 메타데이터이며 테스트된 호환성이 아닙니다. 프롬프트는 제안입니다.

작은 작업부터 시작

1소스를 읽고 입력, 출력, 의존성 및 권한을 확인하세요.
2Agent에게 계획을 요청하고 설정과 비용을 승인한 뒤 격리 환경에서 테스트하세요.
3출력과 변경 파일을 확인하고 실제 실행 결과만 보고하세요. 재현을 위해 소스 버전을 보관하세요.

소스에서 의존성, API 키 및 외부 서비스 비용을 확인하세요. 공개 저장소라고 모든 서비스가 무료는 아닙니다.

출처 및 사용 안내

등록됨

메타데이터와 검토 신호는 참고용입니다. 인기, 소스 발견, 실행 성공은 서로 다른 사실입니다.

소스 저장소: TopLocalAI/patentfig-skill
라이선스: MIT
버전: 1.0.0
최근 GitHub 푸시: 2026년 9월 4일
목록 업데이트: 2026년 9월 6일
지침 경로: SKILL.md @ 209e23b4cc56

목록에 보고된 버전입니다. 소스 릴리스를 확인하세요.

품질

50/100

검토 필요

신뢰

45/100

Do not auto-install

감사

65/100

검토 필요

전체 감사 열기 평가 보고서 보기

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill relies on an external API key and instructs users not to hardcode or print it, but it could be more explicit that the agent must never echo, log, or transmit the key outside the intended Authorization header.
Metadata tags are nested under the `metadata` field rather than provided as top-level `tags`/`frameworks`, so the parsed metadata shows `tags: []` and may hurt discoverability.
The provided SKILL.md excerpt ends mid-sentence, so the full operational rules section should be confirmed to be present and complete in the repository.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 0 GitHub stars
Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
결과: —

복사는 설치가 아닙니다. 설치 수는 성공 보고에 기반하며 전체 품질을 보장하지 않습니다.

Agent 연결

Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.

설치 API 열기 LLM 텍스트 형식 Manifest 열기 자동 해결 계획

추가 정보

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    "category": "document-processing",
    "url": "https://www.openagentskill.com/skills/toplocalai-patentfig-skill",
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      },
      {
        "id": "claude-code",
        "label": "Claude Code",
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      },
      {
        "id": "cursor",
        "label": "Cursor",
        "kind": "agent-prompt",
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      }
    ],
    "handoff_url": "https://www.openagentskill.com/api/skills/toplocalai-patentfig-skill/install",
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      "license": "MIT",
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      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
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      "total": 0,
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    "auto_install": {
      "allowed": false,
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      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
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    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
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  "audit": {
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    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
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      "Metadata tags are nested under the `metadata` field rather than provided as top-level `tags`/`frameworks`, so the parsed metadata shows `tags: []` and may hurt discoverability.",
      "The provided SKILL.md excerpt ends mid-sentence, so the full operational rules section should be confirmed to be present and complete in the repository.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
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    "auto_install_policy": "block",
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    "track": "Research and knowledge work",
    "scenario": "RAG and knowledge",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "The skill relies on an external API key and instructs users not to hardcode or print it, but it could be more explicit that the agent must never echo, log, or transmit the key outside the intended Authorization header.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Metadata tags are nested under the `metadata` field rather than provided as top-level `tags`/`frameworks`, so the parsed metadata shows `tags: []` and may hurt discoverability."
  ],
  "agent_contract": {
    "task_input": "Use patentfig-ai-patent-drawing in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 57/100 High review required",
      "Audit: 65/100 Needs review",
      "Safety: 21/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "toplocalai-patentfig-skill (patentfig-ai-patent-drawing)",
      "install_command": "",
      "risk_summary": "Needs review; Blocked for auto-install; High review required",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "toplocalai-patentfig-skill",
      "task": "Use patentfig-ai-patent-drawing in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/toplocalai-patentfig-skill",
    "api": "https://www.openagentskill.com/api/agent/skills/toplocalai-patentfig-skill",
    "audit": "https://www.openagentskill.com/skills/toplocalai-patentfig-skill/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=toplocalai-patentfig-skill&task=Use%20patentfig-ai-patent-drawing%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20patentfig-ai-patent-drawing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20patentfig-ai-patent-drawing%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/toplocalai-patentfig-skill/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/toplocalai-patentfig-skill"
  }
}

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제작자: TopLocalAI
출처: TopLocalAI/patentfig-skill
색인 주체: OpenAgentSkill 커뮤니티 인덱스

귀속은 공개 저장소 또는 제작자 프로필에 연결됩니다. 제작자는 등록을 주장하여 소유권 신호를 업데이트할 수 있습니다.

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이 커뮤니티 제출 등록은 TopLocalAI에게 귀속되어 있지만 아직 공식으로 표시되지 않았습니다. 소유권을 주장하면 확인된 소유자 신호가 추가되어 이후 출시, 설치 및 감사 업데이트를 더 신뢰할 수 있습니다.

공유 키트

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README에 증거 배지 추가

개발자가 저장소를 평가하는 위치에 정규 등록, 현재 신뢰 및 감사 신호, 실제 Agent-Proven 증거를 표시합니다.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/toplocalai-patentfig-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/toplocalai-patentfig-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/toplocalai-patentfig-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/toplocalai-patentfig-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/toplocalai-patentfig-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/toplocalai-patentfig-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/toplocalai-patentfig-skill?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/toplocalai-patentfig-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

배지 미리보기 감사 열기 크리에이터 키트

커뮤니티 신호

이 스킬이 Agent 워크플로에 유용한지 알려 주세요. 집계된 피드백은 시간이 지날수록 순위를 개선합니다.

개요

PatentFig AI API

Setup

Generate a patent figure (10 credits)

Convert an existing image

Operational rules

소스 확인

가격 및 실행 비용

작은 작업부터 시작

출처 및 사용 안내

Agent 연결

관련 스킬

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