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- Updated lifecycle requirements in issue creation to include new fields for testing, regression, acceptance, and commit strategies. - Enhanced the planning command to generate structured output and handle multi-solution scenarios. - Improved queue formation logic to ensure valid DAG and conflict resolution. - Introduced a new interactive issue management skill for CRUD operations, allowing users to manage issues through a menu-driven interface. - Updated documentation across commands to reflect changes in task structure and output requirements.
7.9 KiB
7.9 KiB
name, description, argument-hint, allowed-tools
| name | description | argument-hint | allowed-tools |
|---|---|---|---|
| plan | Batch plan issue resolution using issue-plan-agent (explore + plan closed-loop) | <issue-id>[,<issue-id>,...] [--batch-size 3] --all-pending | TodoWrite(*), Task(*), SlashCommand(*), AskUserQuestion(*), Bash(*), Read(*), Write(*) |
Issue Plan Command (/issue:plan)
Overview
Unified planning command using issue-plan-agent that combines exploration and planning into a single closed-loop workflow.
Output Requirements
Generate Files:
.workflow/issues/solutions/{issue-id}.jsonl- Solution with tasks for each issue
Return Summary:
{
"bound": [{ "issue_id": "...", "solution_id": "...", "task_count": N }],
"pending_selection": [{ "issue_id": "...", "solutions": [...] }],
"conflicts": [{ "file": "...", "issues": [...] }]
}
Completion Criteria:
- Solution file generated for each issue
- Single solution → auto-bound via
ccw issue bind - Multiple solutions → returned for user selection
- Tasks conform to schema:
cat .claude/workflows/cli-templates/schemas/issue-task-jsonl-schema.json - Each task has quantified
delivery_criteria
Core Capabilities
- Closed-loop agent: issue-plan-agent combines explore + plan
- Batch processing: 1 agent processes 1-3 issues
- ACE semantic search integrated into planning
- Solution with executable tasks and delivery criteria
- Automatic solution registration and binding
Storage Structure (Flat JSONL)
.workflow/issues/
├── issues.jsonl # All issues (one per line)
├── queue.json # Execution queue
└── solutions/
├── {issue-id}.jsonl # Solutions for issue (one per line)
└── ...
Usage
/issue:plan <issue-id>[,<issue-id>,...] [FLAGS]
# Examples
/issue:plan GH-123 # Single issue
/issue:plan GH-123,GH-124,GH-125 # Batch (up to 3)
/issue:plan --all-pending # All pending issues
# Flags
--batch-size <n> Max issues per agent batch (default: 3)
Execution Process
Phase 1: Issue Loading
├─ Parse input (single, comma-separated, or --all-pending)
├─ Load issues from .workflow/issues/issues.jsonl
├─ Validate issues exist (create if needed)
└─ Group into batches (max 3 per batch)
Phase 2: Unified Explore + Plan (issue-plan-agent)
├─ Launch issue-plan-agent per batch
├─ Agent performs:
│ ├─ ACE semantic search for each issue
│ ├─ Codebase exploration (files, patterns, dependencies)
│ ├─ Solution generation with task breakdown
│ └─ Conflict detection across issues
└─ Output: solution JSON per issue
Phase 3: Solution Registration & Binding
├─ Append solutions to solutions/{issue-id}.jsonl
├─ Single solution per issue → auto-bind
├─ Multiple candidates → AskUserQuestion to select
└─ Update issues.jsonl with bound_solution_id
Phase 4: Summary
├─ Display bound solutions
├─ Show task counts per issue
└─ Display next steps (/issue:queue)
Implementation
Phase 1: Issue Loading (IDs Only)
const batchSize = flags.batchSize || 3;
let issueIds = [];
if (flags.allPending) {
// Get pending issue IDs directly via CLI
const ids = Bash(`ccw issue list --status pending,registered --ids`).trim();
issueIds = ids ? ids.split('\n').filter(Boolean) : [];
if (issueIds.length === 0) {
console.log('No pending issues found.');
return;
}
console.log(`Found ${issueIds.length} pending issues`);
} else {
// Parse comma-separated issue IDs
issueIds = userInput.includes(',')
? userInput.split(',').map(s => s.trim())
: [userInput.trim()];
// Create if not exists
for (const id of issueIds) {
Bash(`ccw issue init ${id} --title "Issue ${id}" 2>/dev/null || true`);
}
}
// Group into batches
const batches = [];
for (let i = 0; i < issueIds.length; i += batchSize) {
batches.push(issueIds.slice(i, i + batchSize));
}
console.log(`Processing ${issueIds.length} issues in ${batches.length} batch(es)`);
TodoWrite({
todos: batches.map((_, i) => ({
content: `Plan batch ${i+1}`,
status: 'pending',
activeForm: `Planning batch ${i+1}`
}))
});
Phase 2: Unified Explore + Plan (issue-plan-agent)
Bash(`mkdir -p .workflow/issues/solutions`);
const pendingSelections = []; // Collect multi-solution issues for user selection
for (const [batchIndex, batch] of batches.entries()) {
updateTodo(`Plan batch ${batchIndex + 1}`, 'in_progress');
// Build minimal prompt - agent handles exploration, planning, and binding
const issuePrompt = `
## Plan Issues
**Issue IDs**: ${batch.join(', ')}
**Project Root**: ${process.cwd()}
### Steps
1. Fetch: \`ccw issue status <id> --json\`
2. Explore (ACE) → Plan solution
3. Register & bind: \`ccw issue bind <id> --solution <file>\`
### Generate Files
\`.workflow/issues/solutions/{issue-id}.jsonl\` - Solution with tasks (schema: cat .claude/workflows/cli-templates/schemas/issue-task-jsonl-schema.json)
### Binding Rules
- **Single solution**: Auto-bind via \`ccw issue bind <id> --solution <file>\`
- **Multiple solutions**: Register only, return for user selection
### Return Summary
\`\`\`json
{
"bound": [{ "issue_id": "...", "solution_id": "...", "task_count": N }],
"pending_selection": [{ "issue_id": "...", "solutions": [{ "id": "...", "description": "...", "task_count": N }] }],
"conflicts": [{ "file": "...", "issues": [...] }]
}
\`\`\`
`;
// Launch issue-plan-agent - agent writes solutions directly
const result = Task(
subagent_type="issue-plan-agent",
run_in_background=false,
description=`Explore & plan ${batch.length} issues`,
prompt=issuePrompt
);
// Parse summary from agent
const summary = JSON.parse(result);
// Display auto-bound solutions
for (const item of summary.bound || []) {
console.log(`✓ ${item.issue_id}: ${item.solution_id} (${item.task_count} tasks)`);
}
// Collect pending selections for Phase 3
pendingSelections.push(...(summary.pending_selection || []));
// Show conflicts
if (summary.conflicts?.length > 0) {
console.log(`⚠ Conflicts: ${summary.conflicts.map(c => c.file).join(', ')}`);
}
updateTodo(`Plan batch ${batchIndex + 1}`, 'completed');
}
Phase 3: Multi-Solution Selection
// Only handle issues where agent generated multiple solutions
if (pendingSelections.length > 0) {
const answer = AskUserQuestion({
questions: pendingSelections.map(({ issue_id, solutions }) => ({
question: `Select solution for ${issue_id}:`,
header: issue_id,
multiSelect: false,
options: solutions.map(s => ({
label: `${s.id} (${s.task_count} tasks)`,
description: s.description
}))
}))
});
// Bind user-selected solutions
for (const { issue_id } of pendingSelections) {
const selectedId = extractSelectedSolutionId(answer, issue_id);
if (selectedId) {
Bash(`ccw issue bind ${issue_id} ${selectedId}`);
console.log(`✓ ${issue_id}: ${selectedId} bound`);
}
}
}
Phase 4: Summary
// Count planned issues via CLI
const plannedIds = Bash(`ccw issue list --status planned --ids`).trim();
const plannedCount = plannedIds ? plannedIds.split('\n').length : 0;
console.log(`
## Done: ${issueIds.length} issues → ${plannedCount} planned
Next: \`/issue:queue\` → \`/issue:execute\`
`);
Error Handling
| Error | Resolution |
|---|---|
| Issue not found | Auto-create in issues.jsonl |
| ACE search fails | Agent falls back to ripgrep |
| No solutions generated | Display error, suggest manual planning |
| User cancels selection | Skip issue, continue with others |
| File conflicts | Agent detects and suggests resolution order |
Related Commands
/issue:queue- Form execution queue from bound solutions/issue:execute- Execute queue with codexccw issue list- List all issuesccw issue status- View issue and solution details