codex-delegation
How to delegate implementation tasks to workers via Codex MCP or Task sub-agents. Use when executing tasks that require code implementation.
What this skill does
# Worker Delegation Skill
This skill defines how the CEO (Claude) delegates tasks to workers. Workers can be either Codex MCP (GPT) or Claude Task sub-agents.
## Executor Selection
The executor is determined by priority:
1. `--executor` argument (explicit override)
2. `./specs/.ralph-executor.json` (saved config from `/ceo-ralph:setup`)
3. Runtime detection: check if `mcp__codex__codex` tool exists
4. Default: `auto` (try Codex, fall back to Task)
### Codex MCP Executor
- Tool: `mcp__codex__codex`
- Runs GPT models in a sandboxed environment
- Best for: code generation, file manipulation
- Requires: Codex CLI installed + authenticated
### Task Sub-agent Executor
- Tool: `Task` with `subagent_type: "general-purpose"`
- Runs Claude sub-agents (model: sonnet)
- Best for: when Codex is unavailable, or for Claude-native tasks
- Requires: nothing (built into Claude Code)
## When to Delegate
Delegate to workers when:
- Task is implementation-focused (writing code)
- Task has clear acceptance criteria
- Task doesn't require strategic decisions
- Task is scoped to specific files
Do NOT delegate when:
- Task requires architecture decisions
- Task is a [VERIFY] checkpoint (delegate to qa-engineer instead)
- Task requires user interaction
- Task involves research or analysis
## Preparing Context Packages
### Minimal Context Package
```json
{
"taskId": "1.1",
"task": {
"title": "Task title",
"do": "What to do",
"doneWhen": "Completion criteria",
"acceptance": ["Criterion 1", "Criterion 2"]
}
}
```
### Full Context Package
```json
{
"taskId": "1.1",
"task": {
"title": "Implement user login form",
"do": "Create login form component at src/components/Login.tsx",
"doneWhen": "Form renders with email/password fields and validation",
"acceptance": [
"Form has email input with validation",
"Form has password input with masking",
"Submit button triggers onSubmit handler",
"Shows validation errors"
]
},
"files": {
"src/components/Form.tsx": {
"path": "src/components/Form.tsx",
"content": "// Existing form component for reference...",
"language": "typescript",
"relevantSections": [
{ "startLine": 10, "endLine": 50, "description": "Form pattern" }
]
}
},
"design": {
"architecture": "React functional component with hooks",
"patterns": ["controlled inputs", "form validation", "error display"]
},
"constraints": [
"Follow existing Form component pattern",
"Use project's validation library (zod)",
"Match existing styling approach"
],
"workingDirectory": "/path/to/project",
"commitPrefix": "feat(auth)"
}
```
## Context Optimization
### File Selection
1. Include files directly mentioned in task
2. Include pattern files from same directory
3. Include type definitions if TypeScript
4. Limit to ~5 files maximum
5. Use relevant sections, not entire files
### Context Pruning
If context is too large:
1. Extract only relevant functions/classes
2. Remove comments and whitespace
3. Summarize repetitive patterns
4. Reference design.md instead of repeating
## Delegation Protocol
### Step 1: Prepare
```markdown
I am preparing to delegate Task {id} to a worker.
**Task**: {title}
**Executor**: {codex|task-agent}
**Files to include**: {list}
**Constraints**: {list}
```
### Step 2: Delegate
**Codex MCP:**
```
mcp__codex__codex({
prompt: "<spec-executor instructions>\n\nTask: <task block>\n\nContext: <files>",
sandbox: "workspace-write"
})
```
**Task sub-agent:**
```
Task({
subagent_type: "general-purpose",
model: "sonnet",
prompt: "<spec-executor instructions>\n\nTask: <task block>\n\nContext: <files>\n\nIMPORTANT: Output TASK_COMPLETE when done."
})
```
### Step 3: Monitor
```markdown
[<executor>] Task {id} delegated.
Status: {pending|running|completed|failed}
```
### Step 4: Receive
```markdown
Received result from worker.
Signal: {TASK_COMPLETE|TASK_BLOCKED|NO_SIGNAL}
Files modified: {count}
```
## Handling Worker Output
### On TASK_COMPLETE
1. Parse file modifications
2. Verify "Done when" criteria
3. Update delegation log
4. Proceed to next task
### On TASK_BLOCKED
1. Read block reason
2. Assess if CEO can unblock
3. If yes: Provide guidance and retry
4. If no: Escalate to user
### On NO_SIGNAL
1. Check if output looks complete
2. If yes: Treat as soft completion, verify carefully
3. If no: Retry with explicit signal instruction
## Retry Strategy
When retrying:
```json
{
"previousAttempts": [
{
"attempt": 1,
"executor": "codex",
"feedback": "Missing validation on email field",
"issues": [
"Email input lacks validation",
"Error messages not displayed"
]
}
]
}
```
### Feedback Quality
Good feedback:
- "In Login.tsx line 23, add email regex validation"
- "The onSubmit handler doesn't prevent default"
Bad feedback:
- "Fix the validation"
- "It doesn't work"
## Delegation Logging
Every worker dispatch is logged to `./specs/$spec/.ralph-delegation.json`. See `schemas/delegation.schema.json` for the full schema.
Each worker entry tracks:
- Worker ID, task ID, executor type
- Start/complete timestamps, duration
- Result signal, summary, files changed
- Commit hash
Aggregate stats are updated after each worker completes.
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