mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-12 02:37:45 +08:00
feat: add CLI Stream Viewer component for real-time output monitoring
- Implemented a new CLI Stream Viewer to display real-time output from CLI executions. - Added state management for CLI executions, including handling of start, output, completion, and errors. - Introduced UI rendering for stream tabs and content, with auto-scroll functionality. - Integrated keyboard shortcuts for toggling the viewer and handling user interactions. feat: create Issue Manager view for managing issues and execution queue - Developed the Issue Manager view to manage issues, solutions, and execution queue. - Implemented data loading functions for fetching issues and queue data from the API. - Added filtering and rendering logic for issues and queue items, including drag-and-drop functionality. - Created detail panel for viewing and editing issue details, including tasks and solutions.
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.claude/commands/issue/queue.md
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.claude/commands/issue/queue.md
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---
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name: queue
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description: Form execution queue from bound solutions using issue-queue-agent
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argument-hint: "[--rebuild] [--issue <id>]"
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allowed-tools: TodoWrite(*), Task(*), Bash(*), Read(*), Write(*)
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---
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# Issue Queue Command (/issue:queue)
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## Overview
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Queue formation command using **issue-queue-agent** that analyzes all bound solutions, resolves conflicts, determines dependencies, and creates an ordered execution queue. The queue is global across all issues.
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**Core capabilities:**
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- **Agent-driven**: issue-queue-agent handles all ordering logic
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- ACE semantic search for relationship discovery
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- Dependency DAG construction and cycle detection
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- File conflict detection and resolution
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- Semantic priority calculation (0.0-1.0)
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- Parallel/Sequential group assignment
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- Output global queue.json
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## Storage Structure (Flat JSONL)
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```
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.workflow/issues/
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├── issues.jsonl # All issues (one per line)
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├── queue.json # Execution queue (output)
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└── solutions/
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├── {issue-id}.jsonl # Solutions for issue
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└── ...
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```
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## Usage
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```bash
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/issue:queue [FLAGS]
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# Examples
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/issue:queue # Form queue from all bound solutions
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/issue:queue --rebuild # Rebuild queue (clear and regenerate)
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/issue:queue --issue GH-123 # Add only specific issue to queue
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# Flags
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--rebuild Clear existing queue and regenerate
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--issue <id> Add only specific issue's tasks
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```
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## Execution Process
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```
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Phase 1: Solution Loading
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├─ Load issues.jsonl
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├─ Filter issues with bound_solution_id
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├─ Read solutions/{issue-id}.jsonl for each issue
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├─ Find bound solution by ID
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└─ Extract tasks from bound solutions
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Phase 2-4: Agent-Driven Queue Formation (issue-queue-agent)
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├─ Launch issue-queue-agent with all tasks
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├─ Agent performs:
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│ ├─ Build dependency DAG from depends_on
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│ ├─ Detect circular dependencies
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│ ├─ Identify file modification conflicts
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│ ├─ Resolve conflicts using ordering rules
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│ ├─ Calculate semantic priority (0.0-1.0)
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│ └─ Assign execution groups (parallel/sequential)
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└─ Output: queue JSON with ordered tasks
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Phase 5: Queue Output
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├─ Write queue.json
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├─ Update issue statuses in issues.jsonl
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└─ Display queue summary
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```
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## Implementation
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### Phase 1: Solution Loading
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```javascript
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// Load issues.jsonl
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const issuesPath = '.workflow/issues/issues.jsonl';
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const allIssues = Bash(`cat "${issuesPath}" 2>/dev/null || echo ''`)
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.split('\n')
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.filter(line => line.trim())
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.map(line => JSON.parse(line));
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// Filter issues with bound solutions
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const plannedIssues = allIssues.filter(i =>
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i.status === 'planned' && i.bound_solution_id
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);
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if (plannedIssues.length === 0) {
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console.log('No issues with bound solutions found.');
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console.log('Run /issue:plan first to create and bind solutions.');
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return;
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}
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// Load all tasks from bound solutions
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const allTasks = [];
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for (const issue of plannedIssues) {
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const solPath = `.workflow/issues/solutions/${issue.id}.jsonl`;
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const solutions = Bash(`cat "${solPath}" 2>/dev/null || echo ''`)
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.split('\n')
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.filter(line => line.trim())
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.map(line => JSON.parse(line));
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// Find bound solution
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const boundSol = solutions.find(s => s.id === issue.bound_solution_id);
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if (!boundSol) {
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console.log(`⚠ Bound solution ${issue.bound_solution_id} not found for ${issue.id}`);
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continue;
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}
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for (const task of boundSol.tasks || []) {
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allTasks.push({
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issue_id: issue.id,
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solution_id: issue.bound_solution_id,
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task,
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exploration_context: boundSol.exploration_context
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});
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}
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}
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console.log(`Loaded ${allTasks.length} tasks from ${plannedIssues.length} issues`);
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```
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### Phase 2-4: Agent-Driven Queue Formation
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```javascript
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// Launch issue-queue-agent to handle all ordering logic
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const agentPrompt = `
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## Tasks to Order
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${JSON.stringify(allTasks, null, 2)}
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## Project Root
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${process.cwd()}
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## Requirements
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1. Build dependency DAG from depends_on fields
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2. Detect circular dependencies (abort if found)
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3. Identify file modification conflicts
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4. Resolve conflicts using ordering rules:
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- Create before Update/Implement
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- Foundation scopes (config/types) before implementation
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- Core logic before tests
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5. Calculate semantic priority (0.0-1.0) for each task
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6. Assign execution groups (parallel P* / sequential S*)
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7. Output queue JSON
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`;
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const result = Task(
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subagent_type="issue-queue-agent",
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run_in_background=false,
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description=`Order ${allTasks.length} tasks from ${plannedIssues.length} issues`,
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prompt=agentPrompt
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);
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// Parse agent output
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const agentOutput = JSON.parse(result);
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if (!agentOutput.success) {
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console.error(`Queue formation failed: ${agentOutput.error}`);
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if (agentOutput.cycles) {
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console.error('Circular dependencies:', agentOutput.cycles.join(', '));
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}
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return;
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}
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```
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### Phase 5: Queue Output & Summary
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```javascript
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const queueOutput = agentOutput.output;
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// Write queue.json
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Write('.workflow/issues/queue.json', JSON.stringify(queueOutput, null, 2));
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// Update issue statuses in issues.jsonl
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const updatedIssues = allIssues.map(issue => {
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if (plannedIssues.find(p => p.id === issue.id)) {
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return {
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...issue,
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status: 'queued',
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queued_at: new Date().toISOString(),
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updated_at: new Date().toISOString()
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};
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}
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return issue;
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});
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Write(issuesPath, updatedIssues.map(i => JSON.stringify(i)).join('\n'));
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// Display summary
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console.log(`
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## Queue Formed
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**Total Tasks**: ${queueOutput.queue.length}
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**Issues**: ${plannedIssues.length}
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**Conflicts**: ${queueOutput.conflicts?.length || 0} (${queueOutput._metadata?.resolved_conflicts || 0} resolved)
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### Execution Groups
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${(queueOutput.execution_groups || []).map(g => {
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const type = g.type === 'parallel' ? 'Parallel' : 'Sequential';
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return `- ${g.id} (${type}): ${g.task_count} tasks`;
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}).join('\n')}
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### Next Steps
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1. Review queue: \`ccw issue queue list\`
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2. Execute: \`/issue:execute\`
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`);
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```
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## Queue Schema
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Output `queue.json`:
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```json
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{
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"queue": [
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{
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"queue_id": "Q-001",
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"issue_id": "GH-123",
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"solution_id": "SOL-001",
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"task_id": "T1",
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"status": "pending",
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"execution_order": 1,
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"execution_group": "P1",
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"depends_on": [],
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"semantic_priority": 0.7,
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"queued_at": "2025-12-26T10:00:00Z"
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}
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],
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"conflicts": [
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{
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"type": "file_conflict",
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"file": "src/auth.ts",
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"tasks": ["GH-123:T1", "GH-124:T2"],
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"resolution": "sequential",
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"resolution_order": ["GH-123:T1", "GH-124:T2"],
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"rationale": "T1 creates file before T2 updates",
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"resolved": true
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}
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],
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"execution_groups": [
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{ "id": "P1", "type": "parallel", "task_count": 3, "tasks": ["GH-123:T1", "GH-124:T1", "GH-125:T1"] },
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{ "id": "S2", "type": "sequential", "task_count": 2, "tasks": ["GH-123:T2", "GH-124:T2"] }
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],
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"_metadata": {
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"version": "2.0",
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"storage": "jsonl",
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"total_tasks": 5,
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"total_conflicts": 1,
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"resolved_conflicts": 1,
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"parallel_groups": 1,
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"sequential_groups": 1,
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"timestamp": "2025-12-26T10:00:00Z",
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"source": "issue-queue-agent"
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}
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}
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```
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## Semantic Priority Rules
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| Factor | Priority Boost |
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|--------|---------------|
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| Create action | +0.2 |
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| Configure action | +0.15 |
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| Implement action | +0.1 |
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| Config/Types scope | +0.1 |
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| Refactor action | -0.05 |
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| Test action | -0.1 |
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| Delete action | -0.15 |
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## Error Handling
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| Error | Resolution |
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|-------|------------|
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| No bound solutions | Display message, suggest /issue:plan |
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| Circular dependency | List cycles, abort queue formation |
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| Unresolved conflicts | Agent resolves using ordering rules |
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| Invalid task reference | Skip and warn |
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## Agent Integration
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The command uses `issue-queue-agent` which:
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1. Builds dependency DAG from task depends_on fields
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2. Detects circular dependencies (aborts if found)
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3. Identifies file modification conflicts across issues
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4. Resolves conflicts using semantic ordering rules
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5. Calculates priority (0.0-1.0) for each task
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6. Assigns parallel/sequential execution groups
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7. Outputs structured queue JSON
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See `.claude/agents/issue-queue-agent.md` for agent specification.
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## Related Commands
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- `/issue:plan` - Plan issues and bind solutions
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- `/issue:execute` - Execute queue with codex
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- `ccw issue queue list` - View current queue
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Reference in New Issue
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