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Remove the visible Gemini AI watermark from images using reverse alpha blending.
Install Gemini Watermark Remover
$ npx skills add rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rookie-ricardo/erduo-skills gemini-watermark-remover --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/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gemini-watermark-remover .claude/skills/gemini-watermark-remover && 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 "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .claude/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-removerType 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 rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rookie-ricardo/erduo-skills gemini-watermark-remover --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gemini-watermark-remover .agents/skills/gemini-watermark-remover && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .agents/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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 rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rookie-ricardo/erduo-skills gemini-watermark-remover --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gemini-watermark-remover .cursor/skills/gemini-watermark-remover && 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 "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .cursor/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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/rookie-ricardo/erduo-skills.git --path skills/gemini-watermark-remover--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 rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rookie-ricardo/erduo-skills gemini-watermark-remover --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gemini-watermark-remover .gemini/skills/gemini-watermark-remover && 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 "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .gemini/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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 rookie-ricardo/erduo-skills gemini-watermark-removerInstalls 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 rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gemini-watermark-remover .github/skills/gemini-watermark-remover && 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 "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .github/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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 rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rookie-ricardo/erduo-skills gemini-watermark-remover --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gemini-watermark-remover .opencode/skills/gemini-watermark-remover && 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 "gemini-watermark-remover" agent skill from https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/gemini-watermark-remover into .opencode/skills/gemini-watermark-remover/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-watermark-remover", 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.
Facts
- Skill name
gemini-watermark-remover- GitHub stars
- 935
- Token cost
- ~359 tokens
- SKILL.md length
- 122 words
- Files
- 6 (incl. scripts, references, assets)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Remove the visible Gemini AI watermark from images using reverse alpha blending.
- Works in 2 steps: Install dependencies in the scripts folder → Run the CLI
- Asked to strip Gemini watermarks
- SKILL.md covers Dependencies, Quick start, CLI usage and What this skill provides, plus 2 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Gemini Watermark Remover is an agent skill from rookie-ricardo/erduo-skills. 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.
Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `references/algorithm.md` and `scripts/remove_watermark.py`).
It sits in Backend & APIs, covering Backend development. It works with Google Gemini. The licence is MIT.
When your agent uses it
- Asked to strip Gemini watermarks
- Batch-process Gemini images
- Build/modify a CLI script that removes the bottom-right Gemini watermark without HTML
- Server-side components
Example prompts
- “/gemini-watermark-remover”
Requirements
- Python 3
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Install dependencies in the scripts folder
- Run the CLI
What it can do on your machine
Read from SKILL.md and the folder at commit 1fb6ec5. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gemini Watermark Remover loads about 359 tokens when it runs, and up to ~572 if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 122 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from rookie-ricardo/erduo-skills at commit 1fb6ec5, republished under its MIT licence (© rookie-ricardo). 122 words, ~359 tokens.
Download SKILL.mdSave it as
.claude/skills/gemini-watermark-remover/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- gemini-watermark-remover
- description
- 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.
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.pngWhat 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.
© rookie-ricardo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references, assets) in skills/gemini-watermark-remover of rookie-ricardo/erduo-skills.
- SKILL.md
- assets/bg_48.png
- assets/bg_96.png
- references/algorithm.md
- scripts/remove_watermark.py
- scripts/requirements.txt
Open the folder on GitHubat commit 1fb6ec5
Compare with similar skills
Gemini Watermark Remover 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 |
|---|---|---|---|---|---|---|
| Gemini Watermark Remover this skillrookie-ricardo/erduo-skills | 935 | — | ~359 | Automated safety check: Pass | MIT | |
| DeepChat Provider IntegrationThinkInAIXYZ/deepchat | 6.4k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Configuring Horizoncoollabsio/coolify | 63k | 4 repos | ~898 | Automated safety check: Pass | MIT | |
| Fortify Developmentcoollabsio/coolify | 63k | 4 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Node Backend Development Guidelinesdiet103/claude-code-infrastructure-showcase | 10k | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| Laravel Best Practicesanonaddy/anonaddy | 4.9k | 13 repos | ~1.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Gemini Watermark Remover
What does Gemini Watermark Remover do?
Remove the visible Gemini AI watermark from images using reverse alpha blending. Gemini Watermark Remover is an agent skill from rookie-ricardo/erduo-skills. Remove the visible Gemini AI watermark from images using reverse alpha blending.
When should I use Gemini Watermark Remover?
Gemini Watermark Remover fits situations like: asked to strip Gemini watermarks; batch-process Gemini images; build/modify a CLI script that removes the bottom-right Gemini watermark without HTML; server-side components.
How do I install Gemini Watermark Remover in Claude Code?
Run `npx skills add rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a claude-code`. Or copy the skill folder (skills/gemini-watermark-remover in rookie-ricardo/erduo-skills) into .claude/skills/gemini-watermark-remover in your project. Claude Code loads it when a task matches its description.
How do I install Gemini Watermark Remover in Codex?
Run `npx skills add rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a codex`. Or copy the skill folder (skills/gemini-watermark-remover in rookie-ricardo/erduo-skills) into .agents/skills/gemini-watermark-remover in your project. Codex loads it when a task matches its description.
Can I use Gemini Watermark Remover in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gemini-watermark-remover, .gemini/skills/gemini-watermark-remover, .github/skills/gemini-watermark-remover and .opencode/skills/gemini-watermark-remover in your project.
What does Gemini Watermark Remover need to run?
Going by SKILL.md and its folder, Gemini Watermark Remover needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Gemini Watermark Remover access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Gemini Watermark Remover safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Gemini Watermark Remover use?
Gemini Watermark Remover is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gemini Watermark Remover use?
About 359 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 213 tokens, read only when the agent opens those files.
What are the alternatives to Gemini Watermark Remover?
Skills that share tags, products or a category with Gemini Watermark Remover: DeepChat Provider Integration (ThinkInAIXYZ/deepchat, 6.4k stars), Configuring Horizon (coollabsio/coolify, 63k stars), Fortify Development (coollabsio/coolify, 63k stars) and Node Backend Development Guidelines (diet103/claude-code-infrastructure-showcase, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gemini Watermark Remover?
rookie-ricardo (a GitHub user) maintains it in rookie-ricardo/erduo-skills, which has 935 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on July 25, 2026.
Source: rookie-ricardo/erduo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.