AgentSkillsCN

collaborating-with-gemini

将编码任务委托给Gemini CLI，用于原型设计、调试与代码审查。当用户需要算法实现、漏洞分析，或寻求代码质量反馈时，即可触发该技能。支持通过SESSION_ID进行多轮对话。

SKILL.md
--- frontmatter
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

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

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.
  --ais-profile AIS_PROFILE
                        Use AnyAIToken (ais) to inject environment when running the underlying `gemini` command. Provide the profile name to run via
                        `ais run <profile> --`. If omitted, the bridge will call `gemini` directly (backward compatible).

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

AnyAIToken (ais) integration

Always assume that AnyAIToken (ais) has already been used to manage API keys, you can inject environment variables via ais run <profile> --. The repository's gemini_bridge.py supports the --ais-profile <name> parameter:

bash
# Use the ais wrapper
ais run personal-gemini -- python scripts/gemini_bridge.py --cd "/path/to/project" --PROMPT "Your task"

# Or pass the profile directly to the script
python scripts/gemini_bridge.py --cd "/path/to/project" --PROMPT "Your task" --ais-profile personal-codex

If ais is not installed, the script will fall back to calling gemini directly, preserving backward compatibility.