
gemini-watermark-remover
Remove the visible Gemini AI watermark from images using reverse alpha blending. Use when asked to strip Gemini watermarks, batch-process Gemini images, or build/modify a CLI script that removes the bottom-right Gemini watermark without HTML or server-side components.
- Installs
- 1.7K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rookie-ricardo/erduo-skills --skill gemini-watermark-remover- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads gemini-watermark-remover automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Gemini Watermark Remover
Dependencies
- Python 3.9+
- Pillow (install with
pip install -r requirements.txt)
Quick start
- Install dependencies in the scripts folder:
cd skills/gemini-watermark-remover/scripts && pip install -r requirements.txt
- Run the CLI:
python remove_watermark.py <input-image> <output-image>
CLI usage
- Parameters:
input-image: path to the Gemini watermarked imageoutput-image: path for the cleaned image (format inferred from extension)
Example:
python remove_watermark.py ./in.png ./out.png
What this skill provides
scripts/remove_watermark.py: CLI entry point and core algorithm.assets/bg_48.png,assets/bg_96.png: Pre-captured watermark alpha maps.references/algorithm.md: Math, detection rules, and limits.
Workflow
- Use
remove_watermark.pyfor one-off processing. - If you need to adjust detection rules or alpha logic, read
references/algorithm.md.
Notes
- The script uses Pillow for image IO and per-pixel edits.
- Output format is inferred from the output file extension by Pillow.
FAQ
What does the gemini-watermark-remover skill do?
Remove the visible Gemini AI watermark from images using reverse alpha blending. Use when asked to strip Gemini watermarks, batch-process Gemini images, or build/modify a CLI script that removes the bottom-right Gemini watermark without HTML or server-side components.
How do I install gemini-watermark-remover?
Run npx skills add https://github.com/rookie-ricardo/erduo-skills --skill gemini-watermark-remover in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gemini-watermark-remover/ (personal) or .claude/skills/gemini-watermark-remover/ (project).
Which AI agents can use gemini-watermark-remover?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is gemini-watermark-remover safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains gemini-watermark-remover?
It is published by rookie-ricardo in rookie-ricardo/erduo-skills. It has 1,716 recorded installs.
More from rookie-ricardo/erduo-skills
ak-rss-digest
rookie-ricardo/erduo-skills
Curate a Chinese reading digest from a fixed bundle of RSS and Atom feeds, with a strong preference for AI agent thinking, frontier AI commentary, deep interviews, and non-boring high-signal essays. Use when Codex needs to pull the latest week's posts by default, or a specific day's posts when explicitly requested, summarize them, score each article on a 10-point scale, and output only the posts scoring above 7 in a concise Chinese daily-brief style.
daily-news-report
rookie-ricardo/erduo-skills
基于预设 URL 列表抓取内容,筛选高质量技术信息并生成每日 Markdown 报告。
web-to-markdown
rookie-ricardo/erduo-skills
Convert a web URL into cleaned Markdown with deterministic routing. Use when Codex needs to read article-like content from links and should apply source-aware fetch strategies: default to r.jina.ai for general pages (including X/Twitter), use defuddle.md for YouTube links, and use browser-impersonated extraction for WeChat/Zhihu/Feishu pages with Mozilla Readability cleanup.
translate-polisher
rookie-ricardo/erduo-skills
高质量文章翻译技能,采用"分析→初译→审校→终稿"四步精翻工作流。仅支持中文↔英文、中文↔日文翻译。当用户明确提出"翻译"、"translate"、"精翻"、"翻訳"、"翻译文章"、"translate to Chinese/English/Japanese"、"改成中文"、"改成英文"、"改成日文"、"翻成中文"、"翻成日文"、"翻成英文"、"英译中"、"中译英"、"中译日"、"日译中"、"日本語に翻訳"、"中国語に翻訳"、"英語に翻訳"、"これを翻訳して"、"put this in Chinese"、"put this in English"、"put this in Japanese"、"convert to Chinese"、"convert to English"、"convert to Japanese"、"帮我翻一下"、"本地化"、"localize"、"这篇文章翻译一下",或给出 URL/文件/正文并明确要求输出目标语言成稿时触发。不用于仅做摘要、解释、理解或整理的请求。若输入是 URL,优先使用 curl -L 请求 r.jina.ai 抓取正文 Markdown;抓取失败或正文不完整时必须直接停止并要求用户自行提供正文。
transcript-polisher
rookie-ricardo/erduo-skills
将语音转录文本(访谈、演讲、播客、会议)精修为可读性更高的文章段落。当用户提到"字幕精修"、"transcript polish"、"润色字幕"、"把视频字幕整理成文章"、"访谈文字整理"、处理访谈记录、转录文本优化、语音转文字整理、或者需要将大段对话/演讲文本整理成可读文章时触发。适用于单人演说或多人对谈的转录文本整理,要求保留原句原词、拒绝高度概括。即使用户只是说"帮我整理一下这段文字"并附上了明显的口语化文本,也应该触发此技能。
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available