codex-code-reviewer
Systematic code review workflow using zen mcp's codex tool. Use this skill when the user explicitly requests "use codex to check…
Collaborative documentation and test code writing workflow using zen mcp's clink to launch gemini CLI session in WSL (via 'gemini' command) where all writing operations are executed. Use this skill when the user requests "use gemini to write test files", "use gemini to write
$ npx -y skills add VCnoC/Claude-Code-Zen-mcp-Skill-Work --skill simple-gemini --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/simple-geminiContext preview
The summary Claude sees to decide when to auto-load this skill.
Collaborative documentation and test code writing workflow using zen mcp's clink to launch gemini CLI session in WSL (via 'gemini' command) where all writing operations are executed. Use this skill when the user requests "use gemini to write test files", "use gemini to write
name: simple-gemini description: Collaborative documentation and test code writing workflow using zen mcp's clink to launch gemini CLI session in WSL (via 'gemini' command) where all writing operations are executed. Use this skill when the user requests "use gemini to write test files", "use gemini to write documentation", "generate related test files", "generate an explanatory document", or similar document/test writing tasks. The gemini CLI session acts as the specialist writer, working with the main Claude model for context gathering, outline approval, and final review. For test code, codex CLI (also launched via clink) validates quality after gemini completes writing.
This skill provides a collaborative writing workflow where gemini CLI (launched via zen mcp's clink tool as a WSL command `gemini`) serves as a specialist writer for markdown documentation and test code. All writing operations are executed within the gemini CLI session environment, while the main Claude model handles context gathering, user interaction, and test execution. For test code, codex CLI (also launched via clink as WSL command `codex`) performs quality validation after gemini completes the initial writing.
**Technical Architecture:**
**Division of Responsibilities:**
Trigger this skill when the user or main model requests:
automation_mode definition and constraints: See CLAUDE.md「📚 共享概念速查」
**This skill's role**: Skill Layer (read-only), read from context `[AUTOMATION_MODE: true/false]`
coverage_target definition and constraints: See CLAUDE.md「📚 共享概念速查」
**This skill's role**: Skill Layer (read-only), read from context `[COVERAGE_TARGET: X%]`, use when generating/evaluating test code (default 85% if missing)
User Request
│
├─→ Document Writing? ──→ Document Writing Workflow
│
└─→ Test Code Writing? ──→ Test Code Writing Workflow**Main Claude's Responsibility:**
1. **Understand the Documentation Need:**
2. **Gather Context:**
3. **Identify Document Requirements:**
**Invoke Gemini CLI Session via `mcp__zen__clink`:**
Tool: mcp__zen__clink
Parameters:
- cli_name: "gemini" # Launches 'gemini' command in WSL
- prompt: "Generate a detailed outline for [document type] covering [scope].
Context: [provide all gathered context]
Requirements: [standards from CLAUDE.md if applicable]
Purpose: [document purpose]
Audience: [target readers]"
- files: [list of relevant file paths for context - absolute paths]
- role: "default" (or "planner" for complex planning tasks)
- continuation_id: [if continuing from previous gemini CLI session]**What Happens:** 1. zen-mcp clink opens a gemini CLI session in WSL 2. The prompt and files are passed into the gemini CLI environment 3. All outline generation work is executed inside the gemini CLI session 4. The gemini CLI session returns the completed outline 5. The session context is preserved via continuation_id for future calls
**Gemini CLI Session Output:** Detailed outline with:
**Main Claude's Responsibility:**
** automation_mode check**: `[AUTOMATION_MODE: false]` → Interactive / `true` → Automated
🚀 一个为 AI 编程智能体设计的、开箱即用的规则体系与技能包。 本项目不仅仅是工具的集合,更是一套标准化的工作流程和质量保障机制。它通过智能路由、多阶段工作流和自动化代码审查,赋能 AI 智能体以更高效、更可靠的方式完成复杂的编程任务。
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