Menu
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/LigphiDonk/Oh-my--paper --skill inno-figure-genThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Based on SOC occupation classification
Showing SKILL.md
| 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