NotebookLM Research Assistant
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
Generate, edit, or composite images with Gemini/Nanobanana. An agent skill from feiskyer/codex-settings.
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install feiskyer/codex-settings nanobanana-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nanobanana-skill .claude/skills/nanobanana-skill && rm -rf skills-srcUse ~/.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/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .claude/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install feiskyer/codex-settings nanobanana-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nanobanana-skill .agents/skills/nanobanana-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .agents/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install feiskyer/codex-settings nanobanana-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nanobanana-skill .cursor/skills/nanobanana-skill && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .cursor/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/feiskyer/codex-settings.git --path skills/nanobanana-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install feiskyer/codex-settings nanobanana-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nanobanana-skill .gemini/skills/nanobanana-skill && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .gemini/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install feiskyer/codex-settings nanobanana-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nanobanana-skill .github/skills/nanobanana-skill && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .github/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add feiskyer/codex-settings --skill nanobanana-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install feiskyer/codex-settings nanobanana-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nanobanana-skill .opencode/skills/nanobanana-skill && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nanobanana-skill" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/nanobanana-skill into .opencode/skills/nanobanana-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanobanana-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
nanobanana-skillGenerate, edit, or composite images with Gemini/Nanobanana. An agent skill from feiskyer/codex-settings.
Nanobanana Skill is an agent skill from feiskyer/codex-settings. Generate, edit, or composite images with Gemini/Nanobanana. Default for image requests without a named provider; do not override a different provider the user chose.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `agents/openai.yaml`, `nanobanana.py` and `tests/test_nanobanana.py`).
It works with Google Gemini. The repository describes itself as: Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image gen & browser automation. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d7f6570. It shows what the files ask for, not the result of running them.
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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nanobanana Skill loads about 1.2k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 459 words of instructions outside code blocks.
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.
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.
The full file from feiskyer/codex-settings at commit d7f6570, republished under its MIT licence (© feiskyer). 459 words, ~1,189 tokens.
.claude/skills/nanobanana-skill/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Use the bundled nanobanana.py to generate or edit images with Gemini image models. The default path targets Nano Banana 2 (gemini-3.1-flash-image-preview) with thinking summaries and Google Search grounding on, because those defaults are the main reason to use this skill instead of a generic image prompt.
GEMINI_API_KEY in ~/.nanobanana.env (GEMINI_API_KEY=sk-dummy) or the shell environment.requirements.txt.nanobanana.py in this same skill directory. Resolve its absolute path once before running it.The CLI can print --help without credentials. It validates local input files before creating an API client and exits non-zero when the API returns no image.
Model gemini-3.1-flash-image-preview, search grounding on, thinking summaries on at level high, resolution 1K, and no aspect ratio unless the request implies a shape. Do not make the user choose a model, search mode, or thinking mode unless they asked for that level of control.
Leaving aspect ratio unspecified is usually better for edits, because Gemini can match the input image shape. For text-only generation, set one only when the user implies a format such as poster, square post, banner, phone wallpaper, or ultrawide hero.
Worth overriding: --model gemini-3-pro-image-preview for very detail-heavy or typography-sensitive work (slower); --resolution 512px for quick ideation (Nanobanana 2 models only), 2K/4K for polished deliverables; --thinking-level low when latency beats refinement; search off when the user wants a purely imaginative result. Run python3 /absolute/path/to/nanobanana.py --help for the exact accepted values, including the full aspect-ratio and model lists.
Generate from text:
python3 /absolute/path/to/nanobanana.py \
--prompt "Create a high-end coffee bag package design with tactile paper texture and clear typography" \
--output /absolute/path/to/output/package.pngEdit or composite — pass every reference with --input. Nanobanana 2 mixes multiple references well, so do not narrow a blend, lineup, storyboard, or consistency pass down to a single image:
python3 /absolute/path/to/nanobanana.py \
--prompt "Turn these product photos into a clean ecommerce hero image with a soft studio shadow and subtle headline area" \
--input /absolute/path/to/ref1.png /absolute/path/to/ref2.png \
--aspect-ratio 4:5 \
--output /absolute/path/to/output/hero.pngGrounded generation, saving the model's text and metadata alongside the image:
python3 /absolute/path/to/nanobanana.py \
--prompt "Use Google Search to ground an editorial illustration about the most recent lunar mission and create a clean magazine cover concept" \
--text-output /absolute/path/to/output/cover.txt \
--metadata-output /absolute/path/to/output/cover.json \
--output /absolute/path/to/output/cover.pngThen report the saved path(s), whether search grounding stayed enabled, where any text or thought summaries landed, and any warning from the run. If the model returns text but no image, say so plainly and suggest a more explicitly image-focused prompt rather than presenting the run as a success.
Good Nanobanana prompts are production briefs, not art wishes: subject, visual style, composition or camera framing, any required text, the output's use case, and constraints such as brand colors, negative space, or realism level.
Create a premium sparkling water can advertisement. Use a cold studio product-photo look, silver highlights, condensation droplets, and a clean dark-teal background. Leave negative space in the upper-right for headline copy.For edits, say what to preserve as well as what to change:
Keep the shoe silhouette and logo placement intact. Replace the background with a bright outdoor basketball court, add dynamic afternoon shadows, and keep the image looking like a real sports campaign photo.Check credential presence without printing its value, input readability, and output writability. For an unsupported option, consult the helper's accepted values. Correct assistant-chosen options within the requested result, but do not silently switch a user-selected model or provider. Before a bounded retry, check whether the earlier attempt already produced output; report the actual error if recovery would require new authority or changing the request.
© feiskyer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in skills/nanobanana-skill of feiskyer/codex-settings.
Open the folder on GitHubat commit d7f6570
Nanobanana Skill 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nanobanana Skill this skillfeiskyer/codex-settings | 244 | — | ~1.2k | Automated safety check: Pass | MIT | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill | 135k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| OpenCLI Smart Search Routerjackwener/OpenCLI | 30k | 2 repos | ~753 | Automated safety check: Pass | Apache-2.0 | |
| NotebookLM Automationteng-lin/notebooklm-py | 20k | — | ~4.1k | Automated safety check: Pass | MIT |
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
nextlevelbuilder/ui-ux-pro-max-skill
Bundles design tasks behind one skill: brand identity, tokens, UI styling, logos, corporate identity mockups, slides, banners, icons and social images.
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
jackwener/OpenCLI
Routes a search question to the most suitable opencli source, normally one AI site plus up to two specialist sites, with call limits per question and a recap at the end.
teng-lin/notebooklm-py
Installs, authenticates and operates Gemini Notebook (NotebookLM) through the notebooklm-py CLI or its typed async Python API, for notebooks, sources, grounded chat and generated artifacts.
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
feiskyer/codex-settings
Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally.
feiskyer/codex-settings
Delegate a task to the Claude Code CLI, typically a headless claude -p run.
feiskyer/codex-settings
Generate or edit images when the user names OpenAI, GPT Image, or a gpt-image model.
feiskyer/codex-settings
Generate images when the user names MiniMax or image-01/image-01-live.
feiskyer/codex-settings
Simplify existing code for clarity and maintainability without changing behavior.
feiskyer/codex-settings
用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究,不用于单次查证或已给定材料的总结。
Works with
Generate, edit, or composite images with Gemini/Nanobanana. An agent skill from feiskyer/codex-settings. Nanobanana Skill is an agent skill from feiskyer/codex-settings. Generate, edit, or composite images with Gemini/Nanobanana.
Run `npx skills add feiskyer/codex-settings --skill nanobanana-skill -a claude-code`. Or copy the skill folder (skills/nanobanana-skill in feiskyer/codex-settings) into .claude/skills/nanobanana-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add feiskyer/codex-settings --skill nanobanana-skill -a codex`. Or copy the skill folder (skills/nanobanana-skill in feiskyer/codex-settings) into .agents/skills/nanobanana-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add feiskyer/codex-settings --skill nanobanana-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nanobanana-skill, .gemini/skills/nanobanana-skill, .github/skills/nanobanana-skill and .opencode/skills/nanobanana-skill in your project.
Going by SKILL.md and its folder, Nanobanana Skill needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
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.
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.
Nanobanana Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Nanobanana Skill: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars) and OpenCLI Smart Search Router (jackwener/OpenCLI, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
feiskyer (a GitHub user) maintains it in feiskyer/codex-settings, which has 244 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 27, 2026.
Source: feiskyer/codex-settings on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.