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Co-Pilot
Updated 11 hours ago

collaborating-with-gemini

GGuDaStudio
0.0k
GuDaStudio/collaborating-with-gemini
60
Agent Score

💡 Summary

A bridge skill that delegates coding tasks to the Gemini CLI for prototyping, debugging, and code review.

🎯 Target Audience

Prototypers needing quick code generationDevelopers stuck on a bugCode reviewers seeking automated feedbackEducators demonstrating AI-assisted coding

🤖 AI Roast: “It's a thin wrapper that mostly delegates the hard work of being an AI agent to another AI agent's CLI.”

Security AnalysisLow Risk

The skill executes an external CLI (Gemini) which likely has filesystem and network access, posing risks of arbitrary code execution or data exfiltration. Mitigation: Strictly control the `--cd` parameter and run the agent in a sandboxed environment with limited permissions.

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

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:

# 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):

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

Debug with full trace:

python scripts/gemini_bridge.py --cd "/project" --PROMPT "Debug this error" --return-all-messages
5-Dim Analysis
Clarity7/10
Novelty4/10
Utility8/10
Completeness6/10
Maintainability5/10
Pros & Cons

Pros

  • Leverages a powerful external LLM (Gemini) for complex tasks
  • Supports multi-turn conversations for iterative work
  • Simple command-line interface for easy integration

Cons

  • Adds dependency on an external CLI tool and its API
  • Limited control and customization over the Gemini agent's behavior
  • README lacks details on error handling and Gemini CLI setup

Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author GuDaStudio.

collaborating-with-gemini