Collaborating With Gemini logo

Collaborating With Gemini

Organization
appautomaton
collaborating-with-gemini

Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

Overview

Publisherappautomaton
Repositorylatex-arxiv-SKILL
Skill namecollaborating-with-gemini
Stars
467
Forks
39
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by appautomaton on GitHub. Read the source before you install it.

Installation

Install the Collaborating With Gemini AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/appautomaton/latex-arxiv-SKILL/tree/main/.codex/skills/collaborating-with-gemini
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/appautomaton/latex-arxiv-SKILL.git /tmp/latex-arxiv-SKILL
mkdir -p .claude/skills
cp -r /tmp/latex-arxiv-SKILL/.codex/skills/collaborating-with-gemini .claude/skills/collaborating-with-gemini
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Collaborating With Gemini in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Collaborating With Gemini on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Collaborating With Gemini is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Collaborating with Gemini (Codex)

Use Gemini CLI as a collaborator while keeping Codex as the primary implementer.

Host note: this skill is written for a Codex host. When running in another host (e.g., Claude Code), adapt Codex-specific details such as the command-runner timeout and upload paths.

This skill provides a lightweight bridge script that returns structured JSON and supports multi-turn sessions via SESSION_ID.

Core rules

  • Gemini is a collaborator; you own the final result and must verify changes locally.
  • Do not invoke gemini directly; always use the bridge script (scripts/gemini_bridge.py) so output/session handling stays consistent.
  • Prefer file/line references over pasting snippets. Run the bridge with --cd set to the repo root (it sets the gemini process working directory). Use --cd "." only if your CWD is the repo root.
  • For code changes, request Unified Diff Patch ONLY and forbid direct file modification.
  • Always capture SESSION_ID and reuse it for follow-ups to keep the collaboration conversation-aware.
  • Keep a short Collaboration State Capsule updated while this skill is active.
  • Default timeout: when invoking via the Codex command runner, set timeout_ms to 600000 (10 minutes) unless a shorter/longer timeout is explicitly required.
  • Optional: pass --sandbox to run Gemini in sandbox mode.

Quick start (shell-safe)

⚠️ If your prompt contains Markdown backticks (`like/this`), do not pass it directly via --PROMPT "..." (your shell may treat backticks as command substitution). Use a heredoc instead; see references/shell-quoting.md.

bash
PROMPT="$(cat <<'EOF'
Review src/auth.py around login() and propose fixes.
OUTPUT: Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-gemini/scripts/gemini_bridge.py --cd "." --PROMPT "$PROMPT"

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

Multi-turn sessions

bash
# Start a session
PROMPT="$(cat <<'EOF'
Analyze the bug in foo(). Keep it short.
EOF
)"
python3 .codex/skills/collaborating-with-gemini/scripts/gemini_bridge.py --cd "." --PROMPT "$PROMPT"

# Continue the same session
PROMPT="$(cat <<'EOF'
Now propose a minimal fix as Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-gemini/scripts/gemini_bridge.py --cd "." --SESSION_ID "<SESSION_ID>" --PROMPT "$PROMPT"

Prompting patterns (token efficient)

Use assets/prompt-template.md as a starter when crafting --PROMPT.

1) Ask Gemini to open files itself

Provide:

  • Entry file(s) and approximate line numbers
  • Objective and constraints
  • Output format (diff vs analysis)

Avoid:

  • Pasting large code blocks
  • Multiple competing objectives in one request

2) Enforce safe output for code changes

Append this to prompts when requesting code:

  • OUTPUT: Unified Diff Patch ONLY. Strictly prohibit any actual modifications.

3) Use Gemini for what it’s good at

  • Alternative solution paths and edge cases
  • UI/UX and readability feedback
  • Review of a proposed patch (risk spotting, missing tests)

4) Sharing clipboard screenshots with Gemini

Gemini can only read files inside the workspace root (--cd). Codex saves clipboard PNGs into the OS temp directory (e.g. ${TMPDIR:-/tmp}), which Gemini can’t access, and it may refuse ignored paths (e.g. tmp/). Copy the image into .codex_uploads/, then reference that path in your prompt. Delete screenshots when done. Do not add .codex_uploads/ to .gitignore: Gemini refuses to read ignored paths.

bash
mkdir -p .codex_uploads && cp "${TMPDIR:-/tmp}"/codex-clipboard-<id>.png .codex_uploads/

Advanced flags

  • --sandbox: Run Gemini in sandbox mode.
  • --model <name>: Override the default Gemini model.
  • --return-all-messages: Include all raw messages (tool calls, traces) in output JSON.

Collaboration State Capsule

Keep this short block updated near the end of your reply while collaborating:

text
[Gemini Collaboration Capsule]
Goal:
Gemini SESSION_ID:
Files/lines handed off:
Last ask:
Gemini summary:
Next ask:

References

  • assets/prompt-template.md (prompt patterns)
  • references/shell-quoting.md (shell quoting/backticks)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Collaborating With Gemini AI skill do?

Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

Why use Collaborating With Gemini on TypingMind?

Because you install it once and use it with any model. Collaborating With Gemini is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Collaborating With Gemini in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/appautomaton/latex-arxiv-SKILL/tree/main/.codex/skills/collaborating-with-gemini. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Collaborating With Gemini?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Collaborating With Gemini?

As many as you like. As long as a model supports skills, you can use Collaborating With Gemini with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Collaborating With Gemini AI skill free?

Yes. It is published on GitHub by appautomaton under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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