Agent skill

Collaborating With Gemini

by haoyu-haoyu in haoyu-haoyu/Multi-AI-Workflow

Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review.

MITAuto-check passedDevelopment

Install Collaborating With Gemini

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .claude/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .claude/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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

$skill-installer install https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini

Type 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.

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .agents/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .agents/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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.

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .cursor/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .cursor/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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

$ gemini skills install https://github.com/haoyu-haoyu/Multi-AI-Workflow.git --path .maw/skills/collaborating-with-gemini

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .gemini/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .gemini/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini

Installs 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).

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .github/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .github/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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.

skills CLI

$ npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install haoyu-haoyu/Multi-AI-Workflow collaborating-with-gemini --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-Workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.maw/skills/collaborating-with-gemini .opencode/skills/collaborating-with-gemini && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "collaborating-with-gemini" agent skill from https://github.com/haoyu-haoyu/Multi-AI-Workflow/tree/main/.maw/skills/collaborating-with-gemini into .opencode/skills/collaborating-with-gemini/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-gemini", 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: collaborating-with-gemini
GitHub stars: 109
Token cost: ~521 tokens
SKILL.md length: 32 words
Files: 4 (incl. scripts)
Skills in repo: 2
Repo updated: Apr 16, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review.

Needing algorithm implementation
SKILL.md covers Quick Start, Parameters, Multi-turn Sessions and Common Patterns
Runs Python scripts from its folder; calls python and gemini
Code quality feedback

What it does

Collaborating With Gemini is an agent skill from haoyu-haoyu/Multi-AI-Workflow. Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSIONID.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `README.md` and `scripts/gemini_bridge.py`).

It sits in Development, covering Prototyping and Code quality. It works with Google Gemini and TypeScript. The repository describes itself as: Multi-AI orchestration framework for Claude Code — coordinate Claude, Codex, and Gemini with 7 workflow modes, parallel execution, and session unification. The licence is MIT.

When your agent uses it

Needing algorithm implementation
Code quality feedback

Example prompts

“Use the collaborating-with-gemini skill to delegate coding tasks to Gemini CLI for prototyping, debugging, and code review”
“/collaborating-with-gemini”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 1df1a99. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- gemini
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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

Collaborating With Gemini loads about 521 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 32 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~59
When it runs · the whole SKILL.md, loaded when a task matches: ~521

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 haoyu-haoyu/Multi-AI-Workflow at commit 1df1a99, republished under its MIT licence (© haoyu-haoyu). 32 words, ~521 tokens.

Download SKILL.mdSave it as .claude/skills/collaborating-with-gemini/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: collaborating-with-gemini
description: Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSION_ID.

Quick Start

bash

python scripts/gemini_bridge.py --cd "/path/to/project" --PROMPT "Your task"

Output: JSON with success, SESSION_ID, agent_messages, and optional error.

Parameters

usage: gemini_bridge.py [-h] --PROMPT PROMPT --cd CD [--sandbox] [--SESSION_ID SESSION_ID] [--return-all-messages] [--model MODEL]

Gemini Bridge

options:
  -h, --help            show this help message and exit
  --PROMPT PROMPT       Instruction for the task to send to gemini.
  --cd CD               Set the workspace root for gemini before executing the task.
  --sandbox             Run in sandbox mode. Defaults to `False`.
  --SESSION_ID SESSION_ID
                        Resume the specified session of the gemini. Defaults to empty string, start a new session.
  --return-all-messages
                        Return all messages (e.g. reasoning, tool calls, etc.) from the gemini session. Set to `False` by default, only the agent's final reply message is
                        returned.
  --model MODEL         The model to use for the gemini session. This parameter is strictly prohibited unless explicitly specified by the user.

Multi-turn Sessions

Always capture SESSION_ID from the first response for follow-up:

bash

# Initial task
python scripts/gemini_bridge.py --cd "/project" --PROMPT "Analyze auth in login.py"

# Continue with SESSION_ID
python scripts/gemini_bridge.py --cd "/project" --SESSION_ID "uuid-from-response" --PROMPT "Write unit tests for that"

Common Patterns

Prototyping (request diffs):

bash

python scripts/gemini_bridge.py --cd "/project" --PROMPT "Generate unified diff to add logging"

Debug with full trace:

bash

python scripts/gemini_bridge.py --cd "/project" --PROMPT "Debug this error" --return-all-messages

Files

SKILL.md and 3 other files (scripts) in .maw/skills/collaborating-with-gemini of haoyu-haoyu/Multi-AI-Workflow.

SKILL.md
LICENSE
README.md
scripts/gemini_bridge.py

Open the folder on GitHubat commit 1df1a99

Compare with similar skills

Collaborating With Gemini 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.

Collaborating With Gemini compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Collaborating With Gemini this skillhaoyu-haoyu/Multi-AI-Workflow	109	—	~521	Automated safety check: Pass	MIT	5 mo ago
Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop	5.4k	—	~2.2k	Automated safety check: Pass	MIT	1 mo ago
Code Reviewerjewbetcha/opentrace	116	2 repos	~1.1k	Automated safety check: Notes	MIT	4 mo ago
Collaborating With CodexGuDaStudio/collaborating-with-codex	132	1 repos	~712	Automated safety check: Pass	MIT	9 mo ago
Coding Standardskurealnum/dotfiles	290	17 repos	~2.9k	Automated safety check: Pass	None	6 mo ago
Code Qualityredis/RedisInsight	8.9k	—	~1.2k	Automated safety check: Pass	Custom licence	6 days ago

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Questions about Collaborating With Gemini

What does Collaborating With Gemini do?

Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review. Collaborating With Gemini is an agent skill from haoyu-haoyu/Multi-AI-Workflow. Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review.

When should I use Collaborating With Gemini?

Collaborating With Gemini fits situations like: needing algorithm implementation; code quality feedback.

How do I install Collaborating With Gemini in Claude Code?

Run `npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a claude-code`. Or copy the skill folder (.maw/skills/collaborating-with-gemini in haoyu-haoyu/Multi-AI-Workflow) into .claude/skills/collaborating-with-gemini in your project. Claude Code loads it when a task matches its description.

How do I install Collaborating With Gemini in Codex?

Run `npx skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a codex`. Or copy the skill folder (.maw/skills/collaborating-with-gemini in haoyu-haoyu/Multi-AI-Workflow) into .agents/skills/collaborating-with-gemini in your project. Codex loads it when a task matches its description.

Can I use Collaborating With Gemini 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 haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-gemini -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/collaborating-with-gemini, .gemini/skills/collaborating-with-gemini, .github/skills/collaborating-with-gemini and .opencode/skills/collaborating-with-gemini in your project.

What does Collaborating With Gemini need to run?

Going by SKILL.md and its folder, Collaborating With Gemini needs Python for the scripts in its folder and the command-line tools its instructions call (python and gemini). Our summary lists: Python 3.

Does Collaborating With Gemini access the network?

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.

Is Collaborating With Gemini 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 Collaborating With Gemini use?

Collaborating With Gemini is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Collaborating With Gemini use?

About 521 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Collaborating With Gemini?

Skills that share tags, products or a category with Collaborating With Gemini: Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.4k stars), Code Reviewer (jewbetcha/opentrace, 116 stars), Collaborating With Codex (GuDaStudio/collaborating-with-codex, 132 stars) and Coding Standards (kurealnum/dotfiles, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Collaborating With Gemini?

haoyu-haoyu (a GitHub user) maintains it in haoyu-haoyu/Multi-AI-Workflow, which has 109 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on April 16, 2026.

Source: haoyu-haoyu/Multi-AI-Workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Collaborating With Gemini

Install Collaborating With Gemini

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Quick Start

Parameters

Multi-turn Sessions

Common Patterns

Files

Compare with similar skills

Similar skills

Install Anti-Slop Oxlint Rules

Code Reviewer

Collaborating With Codex

Coding Standards

Code Quality

Cross-Language Coding Standards

More from haoyu-haoyu/Multi-AI-Workflow

Report Generator

Questions about Collaborating With Gemini

Install Collaborating With Gemini

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Quick Start

Parameters

Multi-turn Sessions

Common Patterns

Files

Compare with similar skills

Similar skills

Install Anti-Slop Oxlint Rules

Code Reviewer

Collaborating With Codex

Coding Standards

Code Quality

Cross-Language Coding Standards

More from haoyu-haoyu/Multi-AI-Workflow

Report Generator

Related

Questions about Collaborating With Gemini