ai-assistant Code Delegate

Delegate programming tasks to local ai-assistant Code CLI.

RULE: You NEVER write code directly. ALL programming goes through ai-assistant -p.

Prerequisites Check (Run Before First Use)

Before delegating any task, verify the environment is ready:

1. ai-assistant Code CLI installed: Run which ai-assistant — if not found, tell user: npm install -g @ai-provider-ai/ai-assistant-code
2. API key configured: Run ai-assistant --version — if it errors about auth, tell user to run ai-assistant and complete login
3. Write-guard active (STRONGLY RECOMMENDED): Check if a write-guard plugin exists at .skill-platform/extensions/write-guard/. If not, warn the user:
   > ⚠️ No write-guard detected. The delegate uses --permission-mode bypassPermissions which grants full filesystem read/write access. It is strongly recommended to set up a write-guard plugin before running tasks. See README.md for setup instructions.

Only proceed with delegation after items 1 and 2 pass. Item 3 is a warning — the user may choose to proceed without it, but should be informed of the risk.

When to Trigger

Auto-trigger on ANY of these:

• Write, modify, refactor, debug code
• Create project files or directories
• Run tests, lint, build
• Code review, architecture planning
• Edit any file (except memory/ and .relationship/)

Manual trigger: user sends /code <task>

Do NOT trigger: chat, emotional interaction, information lookup.

Command Template

cd "<project_dir>" && ai-assistant -p "<task_description>" --output-format text --max-turns 10 --permission-mode bypassPermissions

Parameters

FORBIDDEN: --dangerously-skip-permissions

Timeout

Set exec timeout to 300 (5 minutes). The delegate needs time to write code.

Async Flow (CRITICAL)

The delegate MUST NOT block you. You must remain responsive to the user at all times.

Correct Flow

Step 1: exec ai-assistant -p "..."          → get session ID (e.g. "marine-sage")
Step 2: IMMEDIATELY reply to user     → "On it! Working on that now."
Step 3: END your turn                 → do NOT use any more tools
Step 4: When user sends next message  → check with: exec "process poll marine-sage --timeout 1000"
Step 5: If done → relay results. If not done → tell user "still working", continue chat

WRONG (causes blocking)

exec ai-assistant -p "..." → process poll → (BLOCKED! user waits with no response)

Rules

1. After exec ai-assistant -p, you MUST reply to user and END your turn. No more tool calls.
2. NEVER use process tool directly. Use exec "process poll <id> --timeout 1000" on next user message.
3. Only check the delegate's status when the user sends a NEW message.
4. You can run multiple ai-assistant -p tasks in parallel.

Task Description Rules

1. Clear objective: what to do, which file
2. Provide context: function names, error messages, expected behavior
3. Specify constraints: language, framework, code style
4. One task per call

Debugging / Iteration

When user reports bugs in code the delegate previously wrote:

• Use --continue flag to resume the delegate's session context
• Same project directory + --continue = the delegate remembers what it wrote
• Translate user's feedback into clear bug description for the delegate

Testing / Verification (Independent Review)

After the delegate writes code, use a separate fresh session (NO --continue) to test and verify it.

Why: The author has context bias. A fresh session reads the source code independently — like an external code reviewer. This catches issues the author missed.

Flow

Step 1: ai-assistant -p "Write X in projects/X/"              → Author session (can use --continue to iterate)
Step 2: ai-assistant -p "Run and test projects/X/, report bugs" → Tester session (ALWAYS fresh, NO --continue)

Rules

1. Author session: writes code, can use --continue to iterate on bugs
2. Tester session: NEVER uses --continue — must read source fresh
3. Tester reports: what it ran, output, pass/fail, bugs found
4. If tester finds bugs → relay to user, then send fix task to author session (with --continue)

When to Auto-Test

• User says "test it" or "run it" after writing → use fresh session
• User says "fix the bug" after testing → use --continue on author session
• User says "run hot_sectors.py" (existing program) → fresh session (no prior context needed)

Session Decision Rule

Relaying Results

The delegate does not talk to the user directly. You relay all results.

When relaying:

1. Summarize what was done and which files changed
2. Add the delegate's personality (see PERSONA.md for character template)
3. Add your own reaction

Keep technical summary concise. Do not copy the delegate's full output verbatim.

Error Handling

Failure Rule

If the delegate fails or times out, do NOT write code yourself.

Tell the user: "The coding task didn't finish. Want me to try again?"

Retry with longer timeout or simpler task description. Only write code yourself if user explicitly says "you do it" (not recommended).

Security Best Practices

1. Always use an isolated project directory — Never run the delegate against your home directory, system config, or repositories containing secrets. Use a dedicated projects/ or workplace/ directory.
2. Set up the write-guard plugin — This is the most important safety measure. See README.md for the full plugin code. The write-guard blocks writes to platform config files (.skill-platform/, LaunchAgents/, auth profiles) at the platform level.
3. Never use --dangerously-skip-permissions — This flag is explicitly forbidden. --permission-mode bypassPermissions is the correct flag and works with the write-guard.
4. Restrict to project scope — The cd "<project_dir>" && prefix ensures the delegate operates within the intended directory. Never omit it.
5. Review delegate output — Always relay results through the main agent. Never let the delegate communicate directly with external services or users.

依赖说明

运行环境

• Agent平台: 支持SKILL.md的任意AI Agent(ai-assistant Code / Cursor / Codex / CLI等)
• 操作系统: Windows / macOS / Linux

依赖说明

API Key 配置

• 本Skill基于Markdown指令,无需额外API Key(除内容中明确标注的外部API)

可用性分类

• 分类: MD+EXEC(纯Markdown指令,部分功能需要exec命令行执行能力)
• 说明: 基于Markdown的AI Skill,通过自然语言指令驱动Agent执行任务

核心能力

• 触发关键词: programming, tasks, code, ai-assistant, delegate

适用场景

不适用于：需要人工判断的复杂决策场景

使用流程

1. 确认运行环境满足依赖说明中的要求
2. 根据适用场景选择合适的使用方式
3. 执行操作并检查输出结果
4. 如遇错误，参考错误处理章节

示例

示例1：基础用法

输入: 用户请求
处理: 根据使用流程执行
输出: 处理结果

错误处理

常见问题

Q1: 如何开始使用 Code Delegate？

A: 请先阅读使用流程章节，确认环境满足依赖说明中的要求。

Q2: 遇到错误怎么办？

A: 请参考错误处理章节，按照表格中的处理方式操作。

Q3: ai-assistant Code Delegate有什么限制？

A: 请参考已知限制章节了解具体限制。

已知限制

• 需要API Key，无Key环境无法使用