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AGENT SKILL

codeagent

codeagent 是面向数据与分析的 Agent Skill,来自 cexll/myclaude。查看技能说明、操作步骤与使用约定,并通过原项目了解详细用法。

Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.

SKILL.md

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namecodeagent
descriptionExecute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.

Codeagent Wrapper Integration

Overview

Execute codeagent-wrapper commands with pluggable AI backends (Codex, Claude, Gemini). Supports file references via @ syntax, parallel task execution with backend selection, and configurable security controls.

When to Use

  • Complex code analysis requiring deep understanding
  • Large-scale refactoring across multiple files
  • Automated code generation with backend selection

Usage

HEREDOC syntax (recommended):

codeagent-wrapper --backend codex - [working_dir] <<'EOF'
<task content here>
EOF

With backend selection:

codeagent-wrapper --backend claude - . <<'EOF'
<task content here>
EOF

Simple tasks:

codeagent-wrapper --backend codex "simple task" [working_dir]
codeagent-wrapper --backend gemini "simple task" [working_dir]

Backends

Backend Command Description Best For
codex --backend codex OpenAI Codex (default) Code analysis, complex development
claude --backend claude Anthropic Claude Simple tasks, documentation, prompts
gemini --backend gemini Google Gemini UI/UX prototyping

Backend Selection Guide

Codex (default): - Deep code understanding and complex logic implementation - Large-scale refactoring with precise dependency tracking - Algorithm optimization and performance tuning - Example: "Analyze the call graph of @src/core and refactor the module dependency structure"

Claude: - Quick feature implementation with clear requirements - Technical documentation, API specs, README generation - Professional prompt engineering (e.g., product requirements, design specs) - Example: "Generate a comprehensive README for @package.json with installation, usage, and API docs"

Gemini: - UI component scaffolding and layout prototyping - Design system implementation with style consistency - Interactive element generation with accessibility support - Example: "Create a responsive dashboard layout with sidebar navigation and data visualization cards"

Backend Switching: - Start with Codex for analysis, switch to Claude for documentation, then Gemini for UI implementation - Use per-task backend selection in parallel mode to optimize for each task's strengths

Parameters

  • task (required): Task description, supports @file references
  • working_dir (optional): Working directory (default: current)
  • --backend (required): Select AI backend (codex/claude/gemini)
  • Note: Claude backend only adds --dangerously-skip-permissions when explicitly enabled

Return Format

Agent response text here...

---
SESSION_ID: 019a7247-ac9d-71f3-89e2-a823dbd8fd14

Resume Session

# Resume with codex backend
codeagent-wrapper --backend codex resume <session_id> - <<'EOF'
<follow-up task>
EOF

# Resume with specific backend
codeagent-wrapper --backend claude resume <session_id> - <<'EOF'
<follow-up task>
EOF

Parallel Execution

Default (summary mode - context-efficient):

codeagent-wrapper --parallel <<'EOF'
---TASK---
id: task1
backend: codex
workdir: /path/to/dir
---CONTENT---
task content
---TASK---
id: task2
dependencies: task1
---CONTENT---
dependent task
EOF

Full output mode (for debugging):

codeagent-wrapper --parallel --full-output <<'EOF'
...
EOF

Output Modes: - Summary (default): Structured report with changes, output, verification, and review summary. - Full (--full-output): Complete task messages. Use only when debugging specific failures.

With per-task backend:

codeagent-wrapper --parallel <<'EOF'
---TASK---
id: task1
backend: codex
workdir: /path/to/dir
---CONTENT---
analyze code structure
---TASK---
id: task2
backend: claude
dependencies: task1
---CONTENT---
design architecture based on analysis
---TASK---
id: task3
backend: gemini
dependencies: task2
---CONTENT---
generate implementation code
EOF

Concurrency Control: Set CODEAGENT_MAX_PARALLEL_WORKERS to limit concurrent tasks (default: unlimited).

Environment Variables

  • CODEX_TIMEOUT: Override timeout in milliseconds (default: 7200000 = 2 hours)
  • CODEAGENT_SKIP_PERMISSIONS: Control Claude CLI permission checks
  • For Claude backend: Set to true/1 to add --dangerously-skip-permissions (default: disabled)
  • For Codex/Gemini backends: Currently has no effect
  • CODEAGENT_MAX_PARALLEL_WORKERS: Limit concurrent tasks in parallel mode (default: unlimited, recommended: 8)

Invocation Pattern

Single Task:

Bash tool parameters:
- command: codeagent-wrapper --backend <backend> - [working_dir] <<'EOF'
  <task content>
  EOF
- timeout: 7200000
- description: <brief description>

Note: --backend is required (codex/claude/gemini)

Parallel Tasks:

Bash tool parameters:
- command: codeagent-wrapper --parallel --backend <backend> <<'EOF'
  ---TASK---
  id: task_id
  backend: <backend>  # Optional, overrides global
  workdir: /path
  dependencies: dep1, dep2
  ---CONTENT---
  task content
  EOF
- timeout: 7200000
- description: <brief description>

Note: Global --backend is required; per-task backend is optional

Critical Rules

NEVER kill codeagent processes. Long-running tasks are normal. Instead:

  1. Check task status via log file: ```bash # View real-time output tail -f /tmp/claude//tasks/.output

# Check if task is still running cat /tmp/claude//tasks/.output | tail -50 ```

  1. Wait with timeout: bash # Use TaskOutput tool with block=true and timeout TaskOutput(task_id="<id>", block=true, timeout=300000)

  2. Check process without killing: bash ps aux | grep codeagent-wrapper | grep -v grep

Why: codeagent tasks often take 2-10 minutes. Killing them wastes API costs and loses progress.

Security Best Practices

  • Claude Backend: Permission checks enabled by default
  • To skip checks: set CODEAGENT_SKIP_PERMISSIONS=true or pass --skip-permissions
  • Concurrency Limits: Set CODEAGENT_MAX_PARALLEL_WORKERS in production to prevent resource exhaustion
  • Automation Context: This wrapper is designed for AI-driven automation where permission prompts would block execution

Recent Updates

  • Multi-backend support for all modes (workdir, resume, parallel)
  • Security controls with configurable permission checks
  • Concurrency limits with worker pool and fail-fast cancellation

来源:cexll/myclaude · GPL 许可 · 许可原文 · MD 为来源页保存的历史版本