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Claude-Code-Workflow/.codex/skills/issue-resolve/phases/04-issue-queue.md
catlog22 54c3234d84 fix: 为所有 skill 的 .workflow/ 路径添加 projectRoot 前缀
从子目录执行 skill 时,相对路径 .workflow/ 会导致产物落到错误位置。
通过 git rev-parse --show-toplevel || pwd 检测项目根目录,
所有 .workflow/ 路径引用统一加上 {projectRoot} 前缀确保路径正确。

涉及 72 个文件,覆盖 20+ 个 skill。
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# Phase 4: Form Execution Queue
## Overview
Queue formation command using **issue-queue-agent** that analyzes all bound solutions, resolves **inter-solution** conflicts, and creates an ordered execution queue at **solution level**.
**Design Principle**: Queue items are **solutions**, not individual tasks. Each executor receives a complete solution with all its tasks.
## Prerequisites
- Issues with `status: planned` and `bound_solution_id` exist
- Solutions written in `{projectRoot}/.workflow/issues/solutions/{issue-id}.jsonl`
- `ccw issue` CLI available
## Auto Mode
When `--yes` or `-y`: Auto-confirm queue formation, use recommended conflict resolutions.
## Core Capabilities
- **Agent-driven**: issue-queue-agent handles all ordering logic
- **Solution-level granularity**: Queue items are solutions, not tasks
- **Conflict clarification**: High-severity conflicts prompt user decision
- Semantic priority calculation per solution (0.0-1.0)
- Parallel/Sequential group assignment for solutions
## Core Guidelines
**Data Access Principle**: Issues and queue files can grow very large. To avoid context overflow:
| Operation | Correct | Incorrect |
|-----------|---------|-----------|
| List issues (brief) | `ccw issue list --status planned --brief` | `Read('issues.jsonl')` |
| **Batch solutions (NEW)** | `ccw issue solutions --status planned --brief` | Loop `ccw issue solution <id>` |
| List queue (brief) | `ccw issue queue --brief` | `Read('queues/*.json')` |
| Read issue details | `ccw issue status <id> --json` | `Read('issues.jsonl')` |
| Get next item | `ccw issue next --json` | `Read('queues/*.json')` |
| Update status | `ccw issue update <id> --status ...` | Direct file edit |
| Sync from queue | `ccw issue update --from-queue` | Direct file edit |
| Read solution (single) | `ccw issue solution <id> --brief` | `Read('solutions/*.jsonl')` |
**Output Options**:
- `--brief`: JSON with minimal fields (id, status, counts)
- `--json`: Full JSON (agent use only)
**Orchestration vs Execution**:
- **Command (orchestrator)**: Use `--brief` for minimal context
- **Agent (executor)**: Fetch full details → `ccw issue status <id> --json`
**ALWAYS** use CLI commands for CRUD operations. **NEVER** read entire `issues.jsonl` or `queues/*.json` directly.
## Flags
| Flag | Description | Default |
|------|-------------|---------|
| `--queues <n>` | Number of parallel queues | 1 |
| `--issue <id>` | Form queue for specific issue only | All planned |
| `--append <id>` | Append issue to active queue (don't create new) | - |
| `--force` | Skip active queue check, always create new queue | false |
## CLI Subcommands Reference
```bash
ccw issue queue list List all queues with status
ccw issue queue add <issue-id> Add issue to queue (interactive if active queue exists)
ccw issue queue add <issue-id> -f Add to new queue without prompt (force)
ccw issue queue merge <src> --queue <target> Merge source queue into target queue
ccw issue queue switch <queue-id> Switch active queue
ccw issue queue archive Archive current queue
ccw issue queue delete <queue-id> Delete queue from history
```
## Execution Steps
### Step 4.1: Solution Loading & Distribution
**Data Loading:**
- Use `ccw issue solutions --status planned --brief` to get all planned issues with solutions in **one call**
- Returns: Array of `{ issue_id, solution_id, is_bound, task_count, files_touched[], priority }`
- If no bound solutions found → display message, suggest running plan/convert/brainstorm first
**Build Solution Objects:**
```javascript
// Single CLI call replaces N individual queries
const result = Bash(`ccw issue solutions --status planned --brief`).trim();
const solutions = result ? JSON.parse(result) : [];
if (solutions.length === 0) {
console.log('No bound solutions found. Run /issue:plan first.');
return;
}
// solutions already in correct format:
// { issue_id, solution_id, is_bound, task_count, files_touched[], priority }
```
**Multi-Queue Distribution** (if `--queues > 1`):
- Use `files_touched` from brief output for partitioning
- Group solutions with overlapping files into same queue
**Output:** Array of solution objects (or N arrays if multi-queue)
### Step 4.2: Agent-Driven Queue Formation
**Generate Queue IDs** (command layer, pass to agent):
```javascript
const timestamp = new Date().toISOString().replace(/[-:T]/g, '').slice(0, 14);
const numQueues = args.queues || 1;
const queueIds = numQueues === 1
? [`QUE-${timestamp}`]
: Array.from({length: numQueues}, (_, i) => `QUE-${timestamp}-${i + 1}`);
```
**Agent Prompt** (same for each queue, with assigned solutions):
```
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/issue-queue-agent.md (MUST read first)
2. Read: ${projectRoot}/.workflow/project-tech.json
3. Read: ${projectRoot}/.workflow/project-guidelines.json
---
## Order Solutions into Execution Queue
**Queue ID**: ${queueId}
**Solutions**: ${solutions.length} from ${issues.length} issues
**Project Root**: ${cwd}
**Queue Index**: ${queueIndex} of ${numQueues}
### Input
${JSON.stringify(solutions)}
// Each object: { issue_id, solution_id, task_count, files_touched[], priority }
### Workflow
Step 1: Build dependency graph from solutions (nodes=solutions, edges=file conflicts via files_touched)
Step 2: Use Gemini CLI for conflict analysis (5 types: file, API, data, dependency, architecture)
Step 3: For high-severity conflicts without clear resolution → add to `clarifications`
Step 4: Calculate semantic priority (base from issue priority + task_count boost)
Step 5: Assign execution groups: P* (parallel, no overlaps) / S* (sequential, shared files)
Step 6: Write queue JSON + update index
### Output Requirements
**Write files** (exactly 2):
- `${projectRoot}/.workflow/issues/queues/${queueId}.json` - Full queue with solutions, conflicts, groups
- `${projectRoot}/.workflow/issues/queues/index.json` - Update with new queue entry
**Return JSON**:
\`\`\`json
{
"queue_id": "${queueId}",
"total_solutions": N,
"total_tasks": N,
"execution_groups": [{"id": "P1", "type": "parallel", "count": N}],
"issues_queued": ["ISS-xxx"],
"clarifications": [{"conflict_id": "CFT-1", "question": "...", "options": [...]}]
}
\`\`\`
### Rules
- Solution granularity (NOT individual tasks)
- Queue Item ID format: S-1, S-2, S-3, ...
- Use provided Queue ID (do NOT generate new)
- `clarifications` only present if high-severity unresolved conflicts exist
- Use `files_touched` from input (already extracted by orchestrator)
### Done Criteria
- [ ] Queue JSON written with all solutions ordered
- [ ] Index updated with active_queue_id
- [ ] No circular dependencies
- [ ] Parallel groups have no file overlaps
- [ ] Return JSON matches required shape
```
**Launch Agents** (parallel if multi-queue):
```javascript
const numQueues = args.queues || 1;
if (numQueues === 1) {
// Single queue: single agent call
const agentId = spawn_agent({
message: buildPrompt(queueIds[0], solutions)
});
// Wait for completion
const result = wait({
ids: [agentId],
timeout_ms: 600000 // 10 minutes
});
// Close agent
close_agent({ id: agentId });
} else {
// Multi-queue: parallel agent calls
const agentIds = [];
// Step 1: Spawn all agents
solutionGroups.forEach((group, i) => {
const agentId = spawn_agent({
message: buildPrompt(queueIds[i], group, i + 1, numQueues)
});
agentIds.push(agentId);
});
// Step 2: Batch wait for all agents
const results = wait({
ids: agentIds,
timeout_ms: 600000 // 10 minutes
});
if (results.timed_out) {
console.log('Some queue agents timed out, continuing with completed results');
}
// Step 3: Collect results (see Step 4.3 for clarification handling)
// Step 4: Batch cleanup - close all agents
agentIds.forEach(id => close_agent({ id }));
}
```
**Multi-Queue Index Update:**
- First queue sets `active_queue_id`
- All queues added to `queues` array with `queue_group` field linking them
### Step 4.3: Conflict Clarification
**Collect Agent Results** (multi-queue):
```javascript
// Collect clarifications from all agents
const allClarifications = [];
agentIds.forEach((agentId, i) => {
const agentStatus = results.status[agentId];
if (agentStatus && agentStatus.completed) {
const parsed = JSON.parse(agentStatus.completed);
for (const c of parsed.clarifications || []) {
allClarifications.push({ ...c, queue_id: queueIds[i], agent_id: agentId });
}
}
});
```
**Check Agent Return:**
- Parse agent result JSON (or all results if multi-queue)
- If any `clarifications` array exists and non-empty → user decision required
**Clarification Flow:**
```javascript
if (allClarifications.length > 0) {
for (const clarification of allClarifications) {
// Present to user via ASK_USER
const answer = ASK_USER([{
id: clarification.conflict_id,
type: "select",
prompt: `[${clarification.queue_id}] ${clarification.question}`,
options: clarification.options
}]); // BLOCKS (wait for user response)
// Re-spawn agent with user decision (original agent already closed)
// Create new agent with previous context + resolution
const resolveAgentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/issue-queue-agent.md (MUST read first)
2. Read: ${projectRoot}/.workflow/project-tech.json
3. Read: ${projectRoot}/.workflow/project-guidelines.json
---
## Conflict Resolution Update
**Queue ID**: ${clarification.queue_id}
**Conflict**: ${clarification.conflict_id} resolved: ${answer.selected}
### Instructions
1. Read existing queue file: ${projectRoot}/.workflow/issues/queues/${clarification.queue_id}.json
2. Update conflict resolution with user decision
3. Re-order affected solutions if needed
4. Write updated queue file
`
});
const resolveResult = wait({
ids: [resolveAgentId],
timeout_ms: 300000 // 5 minutes
});
close_agent({ id: resolveAgentId });
}
}
```
### Step 4.4: Status Update & Summary
**Status Update** (MUST use CLI command, NOT direct file operations):
```bash
# Option 1: Batch update from queue (recommended)
ccw issue update --from-queue [queue-id] --json
ccw issue update --from-queue --json # Use active queue
ccw issue update --from-queue QUE-xxx --json # Use specific queue
# Option 2: Individual issue update
ccw issue update <issue-id> --status queued
```
**IMPORTANT**: Do NOT directly modify `issues.jsonl`. Always use CLI command to ensure proper validation and history tracking.
**Output** (JSON):
```json
{
"success": true,
"queue_id": "QUE-xxx",
"queued": ["ISS-001", "ISS-002"],
"queued_count": 2,
"unplanned": ["ISS-003"],
"unplanned_count": 1
}
```
**Behavior:**
- Updates issues in queue to `status: 'queued'` (skips already queued/executing/completed)
- Identifies planned issues with `bound_solution_id` NOT in queue → `unplanned` array
- Optional `queue-id`: defaults to active queue if omitted
**Summary Output:**
- Display queue ID, solution count, task count
- Show unplanned issues (planned but NOT in queue)
- Show next step: `/issue:execute`
### Step 4.5: Active Queue Check & Decision
**After agent completes, check for active queue:**
```bash
ccw issue queue list --brief
```
**Decision:**
- If `active_queue_id` is null → `ccw issue queue switch <new-queue-id>` (activate new queue)
- If active queue exists → Use **ASK_USER** to prompt user
**ASK_USER:**
```javascript
ASK_USER([{
id: "queue_action",
type: "select",
prompt: "Active queue exists. How would you like to proceed?",
options: [
{ label: "Merge into existing queue", description: "Add new items to active queue, delete new queue" },
{ label: "Use new queue", description: "Switch to new queue, keep existing in history" },
{ label: "Cancel", description: "Delete new queue, keep existing active" }
]
}]); // BLOCKS (wait for user response)
```
**Action Commands:**
| User Choice | Commands |
|-------------|----------|
| **Merge into existing** | `ccw issue queue merge <new-queue-id> --queue <active-queue-id>` then `ccw issue queue delete <new-queue-id>` |
| **Use new queue** | `ccw issue queue switch <new-queue-id>` |
| **Cancel** | `ccw issue queue delete <new-queue-id>` |
## Storage Structure (Queue History)
```
{projectRoot}/.workflow/issues/
├── issues.jsonl # All issues (one per line)
├── queues/ # Queue history directory
│ ├── index.json # Queue index (active + history)
│ ├── {queue-id}.json # Individual queue files
│ └── ...
└── solutions/
├── {issue-id}.jsonl # Solutions for issue
└── ...
```
### Queue Index Schema
```json
{
"active_queue_id": "QUE-20251227-143000",
"active_queue_group": "QGR-20251227-143000",
"queues": [
{
"id": "QUE-20251227-143000-1",
"queue_group": "QGR-20251227-143000",
"queue_index": 1,
"total_queues": 3,
"status": "active",
"issue_ids": ["ISS-xxx", "ISS-yyy"],
"total_solutions": 3,
"completed_solutions": 1,
"created_at": "2025-12-27T14:30:00Z"
}
]
}
```
**Multi-Queue Fields:**
- `queue_group`: Links queues created in same batch (format: `QGR-{timestamp}`)
- `queue_index`: Position in group (1-based)
- `total_queues`: Total queues in group
- `active_queue_group`: Current active group (for multi-queue execution)
**Note**: Queue file schema is produced by `issue-queue-agent`. See agent documentation for details.
## Error Handling
| Error | Resolution |
|-------|------------|
| No bound solutions | Display message, suggest phases 1-3 (plan/convert/brainstorm) |
| Circular dependency | List cycles, abort queue formation |
| High-severity conflict | Return `clarifications`, prompt user decision |
| User cancels clarification | Abort queue formation |
| **index.json not updated** | Auto-fix: Set active_queue_id to new queue |
| **Queue file missing solutions** | Abort with error, agent must regenerate |
| **User cancels queue add** | Display message, return without changes |
| **Merge with empty source** | Skip merge, display warning |
| **All items duplicate** | Skip merge, display "All items already exist" |
## Quality Checklist
Before completing, verify:
- [ ] All planned issues with `bound_solution_id` are included
- [ ] Queue JSON written to `queues/{queue-id}.json` (N files if multi-queue)
- [ ] Index updated in `queues/index.json` with `active_queue_id`
- [ ] Multi-queue: All queues share same `queue_group`
- [ ] No circular dependencies in solution DAG
- [ ] All conflicts resolved (auto or via user clarification)
- [ ] Parallel groups have no file overlaps
- [ ] Cross-queue: No file overlaps between queues
- [ ] Issue statuses updated to `queued`
- [ ] All spawned agents are properly closed via close_agent
## Post-Phase Update
After queue formation:
- All planned issues updated to `status: queued`
- Queue files written and index updated
- Report: queue ID(s), solution count, task count, execution groups
- Recommend next step: `/issue:execute` to begin execution