agent-conductor
# Agent Conductor 🎼
**You conduct. Agents perform.**
Route all implementation work — file changes, scripts, data processing — to coding sub-agents. The orchestrating session stays lean: it plans, decides, and validates. Agents do the execution.
## Supported Agents
Agent-agnostic. Set your invoke command once:
| Agent | Invoke Command |
|-------|---------------|
| Claude Code | `claude '<task>'` |
| OpenAI Codex | `codex '<task>'` |
| Cursor Agent | `cursor-agent '<task>'` |
| Gemini Code | `gemini-code '<task>'` |
| Any other | `your-agent-cmd '<task>'` |
Use `AGENT_CMD` as a placeholder in the examples below.
## When to Dispatch
Dispatch when the task involves **any** of:
- Writing or modifying files (even one line)
- Running scripts or processing data
- Execution time > 10 seconds
- Batch operations over multiple items
*If it produces file changes → dispatch it.*
## Dispatch Template
```
## Task: [name]
### Requirement
[One sentence: what to produce and where]
### Context
- Project: [name and purpose]
- Relevant files: [paths]
- Data format: [brief description of inputs/outputs]
### Acceptance Criteria
- [ ] Output file exists at [path]
- [ ] Contains [N] records / passes [specific check]
- [ ] No errors in [error field / log]
### Gotchas
- [Known pitfall 1]
- [Known pitfall 2]
### Environment
- Language/runtime: [python3 / node / go / etc.]
- Working directory: [path]
- Special config: [proxy, auth, env vars if needed]
When done, notify with:
[your completion notification command]
```
## Execution Mechanism
| Duration | Mechanism |
|----------|-----------|
| < 5 min | Foreground: `exec pty:true command:"AGENT_CMD '...'"` |
| 5–30 min | Background: `exec pty:true background:true timeout:1800 command:"AGENT_CMD '...'"` |
| > 30 min | Agent writes script → run in `screen` / `tmux` |
> Use `pty:true` if your platform requires it (needed for Claude Code; check other agents' docs).
## Task Decomposition
Split large projects by **stage**, not by feature. Each stage must be independently verifiable.
**Split when any of these apply:**
- Runtime > 30 minutes
- More than one script needed
- Batch > 100 items
- Output of one step feeds the next
```
Stage 1: Prepare data → clean_data.csv (< 2 min)
Stage 2: Process → results.json (needs Stage 1)
Stage 3: Report → report.md (needs Stage 2)
```
See [references/patterns.md](references/patterns.md) for parallel coordination, checkpoint/resume, and domain examples.
## Acceptance Checklist
After any "done" signal, always verify:
1. **File exists** — confirm output path
2. **Count correct** — expected N vs. actual N records
3. **Non-empty** — spot-check 2–3 outputs
4. **No silent errors** — check error fields and null rates
*A completion signal ≠ acceptance. Run the checklist.*
## Error Handling
| Symptom | Action |
|---------|--------|
| Timeout, no output | Check process log → kill and re-dispatch with more context |
| File missing after "done" | Read execution log → add context → re-dispatch |
| Partial completion | Check `progress.json` → resume from checkpoint |
| Fails twice in a row | Stop re-dispatching → debug in orchestrator session |
## What NOT to Dispatch
- Simple reads → use read tools directly
- Orchestrator config changes → orchestrator session only
- Messages/notifications → use messaging tools directly
- Design decisions → orchestrator decides first, agent implements
标签
skill
ai