소스 정보
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- LigphiDonk/Oh-my--paper
- 최근 소스 활동
- 2026년 3월 21일 12:33
- 감지된 SKILL.md 언어
- 영어
- 스타
- 717
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/LigphiDonk/Oh-my--paper --skill inno-figure-gen명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Search traceable academic papers, download legally accessible PDFs from arXiv and open-access sources, convert PDFs or page images to Markdown with a PaddleOCR layout-parsing API (or local pdfminer fallback), and organize the results into an AI-readable literature library. Use when Claude Code needs to build a paper corpus, batch OCR PDFs to Markdown, ingest real literature into a knowledge base, fetch arXiv or Hugging Face paper leads, or turn a directory of papers into structured Markdown plus metadata.
Delegate complex coding tasks to Claude Code CLI
Delegate coding tasks to OpenAI Codex CLI
SOC 직업 분류 기준
SKILL.md 표시 중
| id | inno-figure-gen |
| name | inno-figure-gen |
| version | 1.0.0 |
| description | Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). |
| stages | ["publication"] |
| tools | ["read_file","search_project","write_file","run_terminal"] |
| summary | Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image. |
| primaryIntent | writing |
| intents | ["writing"] |
| capabilities | ["visualization-reporting"] |
| domains | ["general"] |
| keywords | ["inno-figure-gen","paper writing","visualization-reporting","inno","figure","gen","generate","edit","images","nano","banana","pro"] |
| source | builtin |
| status | verified |
| upstream | {"repo":"dr-claw","path":"skills/inno-figure-gen","revision":"8322dc4ef575affaa374aa7922c0a0971c6db7d7"} |
| resourceFlags | {"hasReferences":false,"hasScripts":true,"hasTemplates":false,"hasAssets":false,"referenceCount":0,"scriptCount":1,"templateCount":0,"assetCount":0,"optionalScripts":true} |
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.
scripts/ as optional helpers. Run them only when their dependencies are available, keep outputs in the project workspace, and explain a manual fallback if execution is blocked.Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
Run the script using absolute path (do NOT cd to skill directory first):
Generate new image:
uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
Edit existing image:
uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]
Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
Goal: fast iteration without burning time on 4K until the prompt is correct.
uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K--input-image for every iteration until you’re happy.uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4KThe Gemini 3 Pro Image API supports three resolutions (uppercase K required):
Map user requests to API parameters:
1K1K2K4KThe script checks for API key in this order:
--api-key argument (use if user provided key in chat)GEMINI_API_KEY environment variableIf neither is available, the script exits with an error message.
Preflight:
command -v uv (must exist)test -n \"$GEMINI_API_KEY\" (or pass --api-key)test -f \"path/to/input.png\"Common failures:
Error: No API key provided. → set GEMINI_API_KEY or pass --api-keyError loading input image: → wrong path / unreadable file; verify --input-image points to a real imageGenerate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png
Format: {timestamp}-{descriptive-name}.png
yyyy-mm-dd-hh-mm-ss (24-hour format)x9k2, a7b3)Examples:
2025-11-23-14-23-05-japanese-garden.png2025-11-23-15-30-12-sunset-mountains.png2025-11-23-16-45-33-robot.png2025-11-23-17-12-48-x9k2.pngWhen the user wants to modify an existing image:
--input-image parameter with the path to the imageFor generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.
For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
Use templates when the user is vague or when edits must be precise.
Generation template:
Editing template (preserve everything else):
Generate new image:
uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
Edit existing image:
uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K