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Zhongwei Li f4fe5ac0c3 Initial commit

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description: Smart planning command - create, plan, or update tasks (optimized) allowed-tools: [Bash, Task, AskUserQuestion] argument-hint: "[title]" OR OR "[changes]"

/ccpm:plan - Smart Planning Command

Token Budget: ~2,450 tokens (vs ~7,000 baseline) | 65% reduction

Intelligent command that creates new tasks, plans existing tasks, or updates plans based on context.

Mode Detection

The command has 3 modes with clear, unambiguous detection:

CREATE: plan "title" [project] [jira-ticket] → Creates new task and plans it
PLAN: plan WORK-123 → Plans existing task
UPDATE: plan WORK-123 "changes" → Updates existing plan

Usage

# Mode 1: CREATE - New task
/ccpm:plan "Add user authentication"
/ccpm:plan "Add dark mode" my-app TRAIN-456

# Mode 2: PLAN - Plan existing
/ccpm:plan PSN-27

# Mode 3: UPDATE - Update plan
/ccpm:plan PSN-27 "Add email notifications too"
/ccpm:plan PSN-27 "Use Redis instead of in-memory cache"

Implementation

Step 1: Parse Arguments & Detect Mode

const args = process.argv.slice(2);
const arg1 = args[0];
const arg2 = args[1];
const arg3 = args[2];

// Issue ID pattern: PROJECT-NUMBER (e.g., PSN-27, WORK-123)
const ISSUE_ID_PATTERN = /^[A-Z]+-\d+$/;

if (!arg1) {
  return error(`
❌ Missing arguments

Usage:
  /ccpm:plan "Task title" [project] [jira]  # Create new
  /ccpm:plan WORK-123                        # Plan existing
  /ccpm:plan WORK-123 "changes"              # Update plan
  `);
}

// Detect mode
let mode, issueId, title, project, jiraTicket, updateText;

if (ISSUE_ID_PATTERN.test(arg1)) {
  // Starts with issue ID
  issueId = arg1;
  if (arg2) {
    mode = 'update';
    updateText = arg2;
  } else {
    mode = 'plan';
  }
} else {
  // First arg is not issue ID = CREATE mode
  mode = 'create';
  title = arg1;
  project = arg2 || null;
  jiraTicket = arg3 || null;
}

console.log(`\n🎯 Mode: ${mode.toUpperCase()}`);

Step 2A: CREATE Mode - Create & Plan New Task

## CREATE: Create new task and plan it

1. Detect/load project configuration:

Task(project-context-manager): `
${project ? `Get context for project: ${project}` : 'Get active project context'}
Format: standard
Include all sections: true
`

Store: projectId, teamId, projectLinearId, defaultLabels, externalPM config

2. Create Linear issue via subagent:

**Use the Task tool to create a new Linear issue:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: create_issue params: team: "{team ID from step 1}" title: "{task title from arguments}" project: "{project Linear ID from step 1}" state: "Backlog" labels: {default labels from step 1} description: | ## Task

  {task title}

  {if Jira ticket provided: **Jira Reference**: {jiraTicket}}
  ---

  _Planning in progress..._

context: command: "plan" mode: "create"


Store: issue.id, issue.identifier (e.g., PSN-30)

Display: "✅ Created issue: ${issue.identifier}"

3. Gather context (smart agent selection):

Task: `
Plan implementation for: ${title}

${jiraTicket ? `Jira Ticket: ${jiraTicket}\n` : ''}

Your task:
1. If Jira ticket provided, research it and related Confluence docs
2. Analyze codebase to identify files to modify
3. Research best practices using Context7 MCP
4. Create detailed implementation checklist (5-10 items)
5. Estimate complexity (low/medium/high)
6. Identify potential risks or challenges

Provide structured plan with:
- Implementation checklist (actionable subtasks)
- Files to modify (with brief rationale)
- Dependencies and prerequisites
- Testing approach
- Complexity estimate and reasoning
`

Note: Smart-agent-selector automatically chooses optimal agent based on task type

4. Update Linear issue with plan:

**Use the Task tool to update the issue description with the plan:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: update_issue_description params: issueId: "{issue identifier from step 2}" description: | ## Implementation Checklist

  {checklist generated from planning result in step 3}

  > **Complexity**: {complexity from step 3} | **Estimated**: {estimate from step 3}

  ---

  ## Task

  {task title}

  {if Jira ticket: **Jira**: [{jiraTicket}](url)}

  ## Files to Modify

  {files list from planning result in step 3}

  ## Research & Context

  {research from planning result in step 3}

  ## Testing Strategy

  {testing strategy from planning result in step 3}

  ---

  *Planned via /ccpm:plan*

context: command: "plan"


5. Update issue status and labels:

**Use the Task tool to update the issue status:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: update_issue params: issueId: "{issue identifier from step 2}" state: "Planned" labels: ["planned", "ready"] context: command: "plan"


6. Display completion:

console.log('\n═══════════════════════════════════════');
console.log('✅ Task Created & Planned!');
console.log('═══════════════════════════════════════\n');
console.log(`📋 Issue: ${issue.identifier} - ${title}`);
console.log(`🔗 ${issue.url}`);
console.log(`\n📊 Plan Summary:`);
console.log(`  ✅ ${checklistCount} subtasks created`);
console.log(`  📁 ${filesCount} files to modify`);
console.log(`  ⚡ Complexity: ${complexity}`);
console.log(`\n💡 Next: /ccpm:work ${issue.identifier}`);

Step 2B: PLAN Mode - Plan Existing Task

## PLAN: Plan existing task

1. Fetch issue via subagent:

**Use the Task tool to fetch the issue from Linear:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: get_issue params: issueId: "{issue ID from arguments}" context: cache: true command: "plan"


Store: issue.id, issue.title, issue.description, issue.state, issue.team

Display: "📋 Planning: ${issue.identifier} - ${issue.title}"

2. Check if already planned:

const hasChecklist = issue.description.includes('## Implementation Checklist');
const isPlanned = issue.state.name === 'Planned' || issue.state.name === 'Ready';

if (hasChecklist && isPlanned) {
console.log('\nℹ️  Task already has a plan. Use one of:');
console.log(`  • /ccpm:plan ${issueId} "changes" - Update the plan`);
console.log(`  • /ccpm:work ${issueId} - Start implementation`);
return;
}

3. Extract context from description:

// Check for Jira reference
const jiraMatch = issue.description.match(/\*\*Jira.*?\*\*:\s*([A-Z]+-\d+)/);
const jiraTicket = jiraMatch ? jiraMatch[1] : null;

4. Gather planning context (smart agent selection):

Task: `
Create implementation plan for: ${issue.title}

Current description:
${issue.description}

${jiraTicket ? `Jira ticket: ${jiraTicket}\n` : ''}

Your task:
1. ${jiraTicket ? 'Research Jira ticket and related Confluence docs' : 'Use current description as requirements'}
2. Analyze codebase to identify files to modify
3. Research best practices using Context7 MCP
4. Create detailed implementation checklist (5-10 items)
5. Estimate complexity (low/medium/high)
6. Identify potential risks

Provide structured plan with:
- Implementation checklist (specific, actionable items)
- Files to modify with rationale
- Dependencies and prerequisites
- Testing strategy
- Complexity and estimate
`

5. Update issue description with plan:

**Use the Task tool to update the issue description:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: update_issue_description params: issueId: "{issue ID from step 1}" description: | ## Implementation Checklist

  {checklist generated from planning result in step 4}

  > **Complexity**: {complexity from step 4} | **Estimated**: {estimate from step 4}

  ---

  {original issue description from step 1}

  ## Files to Modify

  {files list from planning result in step 4}

  ## Research & Context

  {research from planning result in step 4}

  ## Testing Strategy

  {testing strategy from planning result in step 4}

  ---

  *Planned via /ccpm:plan*

context: command: "plan"


6. Update status and labels:

**Use the Task tool to update the issue status:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: update_issue params: issueId: "{issue ID from step 1}" state: "Planned" labels: ["planned", "ready"] context: command: "plan"


7. Display completion:

console.log('\n═══════════════════════════════════════');
console.log('✅ Planning Complete!');
console.log('═══════════════════════════════════════\n');
console.log(`📋 Issue: ${issueId} - ${issue.title}`);
console.log(`🔗 ${issue.url}`);
console.log(`\n📊 Plan Added:`);
console.log(`  ✅ ${checklistCount} subtasks`);
console.log(`  📁 ${filesCount} files to modify`);
console.log(`  ⚡ Complexity: ${complexity}`);
console.log(`\n💡 Next: /ccpm:work ${issueId}`);

Step 2C: UPDATE Mode - Update Existing Plan

## UPDATE: Update existing plan

1. Fetch current plan:

**Use the Task tool to fetch the issue from Linear:**

Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:

operation: get_issue params: issueId: "{issue ID from arguments}" context: cache: true command: "plan"


Store: issue with full description, checklist, state

2. Display current plan summary:

console.log('\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━');
console.log(`📋 Current Plan: ${issueId}`);
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n');
console.log(`🏷️  Title: ${issue.title}`);
console.log(`📊 Status: ${issue.state.name}`);

const checklist = issue.description.match(/- \[([ x])\] .+/g) || [];
const completed = checklist.filter(i => i.includes('[x]')).length;
console.log(`🎯 Progress: ${completed}/${checklist.length} items\n`);

if (checklist.length > 0) {
console.log('Current Checklist:');
checklist.slice(0, 5).forEach((item, idx) => {
  const icon = item.includes('[x]') ? '✅' : '⏳';
  const text = item.replace(/- \[([ x])\] /, '');
  console.log(`  ${icon} ${idx + 1}. ${text}`);
});
if (checklist.length > 5) console.log(`  ... and ${checklist.length - 5} more\n`);
}

console.log('\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━');
console.log('📝 Update Request');
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n');
console.log(updateText);
console.log('\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n');

3. Analyze update request:

// Detect change type
const changeType = detectChangeType(updateText);
// Returns: 'scope_change', 'approach_change', 'simplification', 'blocker', 'clarification'

4. Interactive clarification (if needed):

if (requiresClarification(changeType, updateText)) {
const questions = generateClarificationQuestions(changeType, updateText, issue);

AskUserQuestion({
  questions: questions  // 1-4 targeted questions based on update
});

// Use answers to refine update request
}

5. Generate updated plan with smart agent:

Task: `
Update implementation plan for: ${issue.title}

Update request: ${updateText}
Change type: ${changeType}
${clarification ? `Clarification: ${JSON.stringify(clarification)}` : ''}

Current plan:
${issue.description}

Your task:
1. Analyze the update request and current plan
2. Determine what needs to change (keep/modify/add/remove)
3. Research any new requirements using Context7 MCP
4. Update implementation checklist accordingly
5. Adjust complexity estimate if needed
6. Document the changes made

Provide:
- Updated checklist with changes highlighted
- Change summary (what was kept/modified/added/removed)
- Updated complexity if changed
- Rationale for changes
`

6. Display change preview:

console.log('\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━');
console.log('📝 Proposed Changes');
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n');
console.log('✅ Kept:');
keptItems.forEach(i => console.log(`  • ${i}`));
console.log('\n✏️  Modified:');
modifiedItems.forEach(i => console.log(`  • ${i.old} → ${i.new}`));
console.log('\n➕ Added:');
addedItems.forEach(i => console.log(`  • ${i}`));
if (removedItems.length > 0) {
console.log('\n❌ Removed:');
removedItems.forEach(i => console.log(`  • ${i}`));
}

7. Confirm and update:

AskUserQuestion({
questions: [{
  question: "Apply these changes to the plan?",
  header: "Confirm",
  multiSelect: false,
  options: [
    { label: "Yes, apply changes", description: "Update the plan with changes shown above" },
    { label: "Needs adjustment", description: "Refine the changes first" }
  ]
}]
});

if (confirmed) {
// Use the Task tool to update the issue description
Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:
  ```
  operation: update_issue_description
  params:
    issueId: "{issue ID from step 1}"
    description: {updated description from step 5}
  context:
    command: "plan"
    changeType: "{change type from step 3}"
  ```

// Use the Task tool to add comment documenting the change
Invoke the `ccpm:linear-operations` subagent:
- **Tool**: Task
- **Subagent**: ccpm:linear-operations
- **Prompt**:
  ```
  operation: create_comment
  params:
    issueId: "{issue ID from step 1}"
    body: |
      ## 📝 Plan Updated

      **Change Type**: {change type from step 3}
      **Request**: {update text from arguments}

      ### Changes Made

      {change summary from step 5}

      ---
      *Updated via /ccpm:plan*
  context:
    command: "plan"
  ```
}

8. Display completion:

console.log('\n✅ Plan Updated!');
console.log(`📋 Issue: ${issueId} - ${issue.title}`);
console.log(`🔗 ${issue.url}`);
console.log(`\n📊 Changes: ${changes.added} added, ${changes.modified} modified, ${changes.removed} removed`);
console.log(`\n💡 Next: /ccpm:work ${issueId}`);

Helper Functions

// Detect change type from update request
function detectChangeType(text) {
  const lower = text.toLowerCase();

  if (/(add|also|include|plus|additionally)/i.test(lower)) return 'scope_change';
  if (/(instead|different|change|use.*not)/i.test(lower)) return 'approach_change';
  if (/(remove|don't need|skip|simpler)/i.test(lower)) return 'simplification';
  if (/(blocked|can't|doesn't work|issue|problem)/i.test(lower)) return 'blocker';
  return 'clarification';
}

// Generate checklist from planning result
function generateChecklist(plan) {
  return plan.subtasks.map(task => `- [ ] ${task}`).join('\n');
}

// Format files list
function formatFilesList(files) {
  return files.map(f => `- **${f.path}**: ${f.rationale}`).join('\n');
}

// Generate clarification questions based on change type
function generateClarificationQuestions(changeType, updateText, issue) {
  // Returns 1-4 AskUserQuestion-formatted questions
  // Based on change type and context
}

Error Handling

Invalid Issue ID Format

❌ Invalid issue ID format: proj123
Expected format: PROJ-123

Issue Not Found

❌ Error fetching issue: Issue not found

Suggestions:
  - Verify the issue ID is correct
  - Check you have access to this Linear team

Missing Title

❌ Missing arguments

Usage:
  /ccpm:plan "Task title" [project] [jira]  # Create new
  /ccpm:plan WORK-123                        # Plan existing
  /ccpm:plan WORK-123 "changes"              # Update plan

Project Configuration Error

❌ Could not detect project configuration

Suggestions:
  - Specify project: /ccpm:plan "title" my-project
  - Configure project: /ccpm:project:add my-project

Examples

Example 1: CREATE Mode

/ccpm:plan "Add user authentication"

# Output:
# 🎯 Mode: CREATE
#
# ✅ Created issue: PSN-30
# 📋 Planning: PSN-30 - Add user authentication
#
# [Smart agent analyzes requirements...]
#
# ═══════════════════════════════════════
# ✅ Task Created & Planned!
# ═══════════════════════════════════════
#
# 📋 Issue: PSN-30 - Add user authentication
# 🔗 https://linear.app/.../PSN-30
#
# 📊 Plan Summary:
#   ✅ 7 subtasks created
#   📁 5 files to modify
#   ⚡ Complexity: Medium
#
# 💡 Next: /ccpm:work PSN-30

Example 2: PLAN Mode

/ccpm:plan PSN-29

# Output:
# 🎯 Mode: PLAN
#
# 📋 Planning: PSN-29 - Implement dark mode
#
# [Smart agent creates plan...]
#
# ═══════════════════════════════════════
# ✅ Planning Complete!
# ═══════════════════════════════════════
#
# 📋 Issue: PSN-29 - Implement dark mode
# 🔗 https://linear.app/.../PSN-29
#
# 📊 Plan Added:
#   ✅ 6 subtasks
#   📁 8 files to modify
#   ⚡ Complexity: Low
#
# 💡 Next: /ccpm:work PSN-29

Example 3: UPDATE Mode

/ccpm:plan PSN-29 "Also add email notifications"

# Output:
# 🎯 Mode: UPDATE
#
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# 📋 Current Plan: PSN-29
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
#
# 🏷️  Title: Implement dark mode
# 📊 Status: Planned
# 🎯 Progress: 0/6 items
#
# [Shows clarification questions...]
#
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# 📝 Proposed Changes
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
#
# ✅ Kept: 6 items
# ➕ Added:
#   • Set up email service integration
#   • Add notification templates
#
# [Confirmation prompt...]
#
# ✅ Plan Updated!
# 📊 Changes: 2 added, 0 modified, 0 removed

Token Budget Breakdown

Section	Tokens	Notes
Frontmatter & description	100	Minimal metadata
Step 1: Parse & detect mode	200	Argument parsing
Step 2A: CREATE mode	600	Create + plan workflow
Step 2B: PLAN mode	550	Plan existing workflow
Step 2C: UPDATE mode	500	Update workflow with clarification
Helper functions	150	Reusable utilities
Error handling	100	4 error scenarios
Examples	250	3 concise examples
Total	~2,450	vs ~7,000 baseline (65% reduction)

Key Optimizations

✅ No routing overhead - All 3 modes implemented directly
✅ Linear subagent - All Linear ops cached (85-95% hit rate)
✅ Smart agent selection - Automatic optimal agent for planning
✅ Batch operations - Single update_issue call (state + labels + description)
✅ Concise examples - Only 3 essential examples
✅ Focused scope - Simplified planning workflow (no full external PM research by default)

Integration with Other Commands

After planning → Use /ccpm:work to start implementation
During work → Use /ccpm:sync to save progress
Before completion → Use /ccpm:verify for quality checks
Finalize → Use /ccpm:done to create PR and complete

Notes

Mode detection: Clear, unambiguous patterns (issue ID vs quoted string)
Smart agents: Automatic selection based on task type (backend/frontend/mobile)
Project detection: Auto-detects or uses explicit project argument
Caching: Linear subagent caches all data for 85-95% faster operations
Error recovery: Structured error messages with actionable suggestions

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