Create Tickets

Create Tickets Skill

Generate engineering tickets from PRDs, feature specs, or task lists. Supports direct creation via Linear/Jira MCP or formatted text output.

Quick Start

1. Point me to the source: PRD, feature spec, meeting action items, or describe the work
2. I break it down into well-structured tickets with acceptance criteria
3. Each ticket gets an effort estimate, dependencies, and component label
4. If Linear/Jira MCP is connected, I create tickets directly; otherwise, I generate copy-paste text
5. I provide a dependency summary and sprint assignment suggestion

Example: "Create tickets from outputs/prds/checkout-redesign.md targeting a March 15 launch"

Output: Tickets created in Linear/Jira, or saved to outputs/analyses/[feature]-tickets.md

Time: 15-30 minutes depending on PRD complexity

When to Use This Skill

• Breaking down PRDs into implementation tickets
• Converting feature specs into actionable tasks
• Batch ticket creation from roadmap items
• Generating ticket text for manual entry

Prerequisites

Optional but Recommended:

• Linear MCP configured (for direct ticket creation)
• Jira MCP configured (for direct ticket creation)

Fallback:

• Generates formatted ticket text for manual copy-paste

Workflow

Step 1: Gather Context

Ask the PM:

1. Source document: PRD, feature spec, or task list?
2. Target system: Linear, Jira, or text output?
3. Project/Team: Which project/team should receive tickets?
4. Ticket type: Story, Task, Bug, Epic?
5. Priority level: High, Medium, Low?

Step 2: Analyze Source Material

Read the source document and identify:

• User-facing features (frontend work)
• API/Backend work (backend work)
• Data migrations (data engineering)
• Infrastructure changes (DevOps)
• Testing requirements (QA)
• Documentation needs (docs)

Step 3: Create Ticket Structure

For each ticket, generate:

Title Format:

[Component] Action: Brief description

Examples:

• [API] Add endpoint for user preferences
• [Frontend] Build preference selection UI
• [DB] Create user_preferences table

Ticket Body (use templates/user-story-template.md as the base format):

## User Story

As a **[user type]**, I want **[action/feature]**, so that **[benefit/outcome]**.

## Description

[Detailed description of the feature, key behaviors, timing, and user flow.]

## Acceptance Criteria

- [ ] **AC1: [Primary success scenario]**
  - Given [initial state/context]
  - When [user action]
  - Then [expected outcome]

- [ ] **AC2: [Edge case or secondary scenario]**
  - Given [context]
  - When [user action or condition]
  - Then [expected outcome]

- [ ] **AC3: [Error handling scenario]**
  - Given [error condition]
  - When [user action]
  - Then [error message/behavior]

- [ ] **AC4: [Offline/network scenario]**
  - Given [offline/network condition]
  - When [user action]
  - Then [appropriate message/behavior]

## UI/UX Notes

**Figma Link:** [to be inserted]

[Additional UI/UX or accessibility considerations]

## Technical Notes

**Third Party Requirements:**
- [APIs, external services, or SDKs required]

**Future Enhancement Considerations:**
- [Scope expansion to consider now for technical work]

## Edge Cases

1. [Edge case 1]
2. [Edge case 2]
3. [Edge case 3]

## Tracking

| Event | Trigger |
|-------|---------|
| `[event_name]` | [When this event fires] |

## Dependencies
- Blocked by: [Other ticket]
- Blocks: [Other ticket]

When to use User Story format vs plain ticket:

• User Story format: feature work, user-facing changes, anything with a UI or user flow
• Plain ticket: infrastructure, migrations, bug fixes, DevOps, internal tooling

Step 4: Create or Output Tickets

If Linear MCP available:

Use Linear MCP to create tickets directly
Set project, team, priority, labels
Link related tickets

If Jira MCP available:

Use Jira MCP to create tickets
Set epic, sprint, story points
Add components and labels

Fallback - Text Output:

Generate formatted ticket text
Number tickets sequentially
Provide copy-paste instructions

Bulk Creation

When creating 5+ tickets:

1. Create Epic first (if applicable)
2. Group by component (Frontend, Backend, Data, etc.)
3. Order by dependency (foundation tickets first)
4. Add estimates (if PM provides sizing)
5. Link tickets (blockers, related work)

Effort Estimation Framework

For each ticket, include an effort estimate using T-shirt sizing:

Estimation rules:

• If the PM provides estimates, use them. If not, suggest one based on typical complexity for the work type.
• Always flag XL tickets as candidates for splitting. Suggest how to break them down: "This XL ticket could be split into [DB migration (M)] + [API layer (M)] + [Frontend (L)]."
• Include estimate in the ticket metadata, not buried in the body.
• When in doubt, round up. Underestimates erode trust; overestimates create buffer.

Alternative: Story Points

Some teams prefer story points over T-shirt sizes. If the team uses story points:

Which to use: Ask the PM or check existing tickets in the project management tool. Default to T-shirt sizes if unknown -- they're more intuitive for non-engineers.

Ticket format with estimate:

=== TICKET 1 ===
Title: [API] Add CRUD endpoints for user preferences
Estimate: M (1-2 days)
...

Sprint/Milestone Assignment

If the PM has a target launch date, work backwards from the deadline to suggest sprint assignments.

Sprint grouping logic:

Sprint 1 (Foundation & Blockers):
- Database migrations
- API contracts and core endpoints
- Infrastructure/DevOps setup
- Tickets that block everything else

Sprint 2 (Core Functionality):
- Frontend components
- Business logic implementation
- Integration between frontend and backend
- Core user flow working end-to-end

Sprint 3 (Polish & Edge Cases):
- Error handling and edge cases
- Performance optimization
- Accessibility fixes
- Documentation and help content
- QA and testing tickets

Capacity check:

• Assume 6-8 productive hours per developer per day
• Assume 80% utilization (meetings, reviews, context-switching)
• Sum ticket estimates per sprint and compare to available developer-days
• If estimated effort exceeds sprint capacity, flag: "Sprint 2 is overloaded by ~3 days. Consider moving [ticket X] to Sprint 3 or adding capacity."

Handling Early-Stage or Partial PRDs

When the PRD is at Team Kickoff or Planning Review stage (requirements are still fuzzy):

Adjust ticket creation:

• Create "Spike" tickets for areas with high uncertainty: "[Spike] Investigate feasibility of [unclear requirement] -- Timebox: 2 days"
• Mark fuzzy requirements with a [TBD] tag: "Acceptance criteria TBD pending design review"
• Use wider T-shirt size ranges: "M-L (1-5 days) -- depends on API complexity once spike is complete"
• Add a "Requirements Checkpoint" ticket: "Review updated PRD with engineering before starting implementation"

What NOT to do:

• Don't create detailed acceptance criteria for fuzzy requirements (they'll change)
• Don't estimate with false precision (don't say "3 days" when you mean "1-2 weeks, maybe")
• Don't skip the tickets entirely -- even fuzzy work needs tracking

Flag it: Start the ticket breakdown with: "Note: PRD is at [Stage] stage. Some tickets have [TBD] acceptance criteria that will be refined as requirements solidify."

Dependency Mapping

Identify and mark dependencies between tickets. Use explicit notation in each ticket:

## Dependencies
- **Blocked by:** TICKET-3 (DB schema must exist before API can be built)
- **Blocks:** TICKET-7 (Frontend needs this API to integrate)

After generating all tickets, provide a dependency summary:

## Dependency Summary

TICKET-1 [DB Schema] --> TICKET-3 [API Endpoints] --> TICKET-5 [Frontend Integration]
TICKET-2 [Auth Setup] --> TICKET-4 [Protected Routes] --> TICKET-5 [Frontend Integration]
TICKET-5 [Frontend Integration] --> TICKET-6 [E2E Tests]

Critical path: TICKET-1 --> TICKET-3 --> TICKET-5 --> TICKET-6
Estimated critical path duration: 7-10 days

Independent tickets (can be done in parallel):
- TICKET-7 [Documentation] -- no blockers
- TICKET-8 [Analytics instrumentation] -- no blockers

Dependency rules:

• Every ticket should state its dependencies (even if "None")
• Circular dependencies are a red flag -- restructure the tickets
• If a ticket has 3+ blockers, consider whether it should be split

Ticket Quality Checklist

Before creating tickets, verify:

• ✅ Title is clear and specific
• ✅ Acceptance criteria are testable
• ✅ Technical context is sufficient for engineers
• ✅ Dependencies are identified
• ✅ Edge cases are documented
• ✅ Testing requirements are clear
• ✅ Links to designs/specs included

Common Ticket Patterns

Feature Work

Epic: User Preferences System
  ├── [DB] Create user_preferences table
  ├── [API] Add CRUD endpoints for preferences
  ├── [Frontend] Build preferences UI
  └── [QA] Test preferences end-to-end

Bug Fixes

Title: [Component] Fix: Description of bug
Body:
  - Current behavior: [What's broken]
  - Expected behavior: [What should happen]
  - Repro steps: [How to reproduce]
  - Root cause: [If known]

Infrastructure

Title: [DevOps] Setup: Description
Body:
  - Current state: [What exists]
  - Desired state: [What we need]
  - Migration plan: [How to get there]
  - Rollback plan: [How to revert if needed]

Integration Examples

Linear MCP

# Create epic
epic = linear.create_issue({
  "title": "User Preferences System",
  "description": "[Epic description]",
  "teamId": "team_id",
  "priority": 1
})

# Create child tickets
for ticket in tickets:
  linear.create_issue({
    "title": ticket.title,
    "description": ticket.body,
    "teamId": "team_id",
    "parentId": epic.id,
    "priority": ticket.priority
  })

Jira MCP

# Create epic
epic = jira.create_issue({
  "project": "PROJ",
  "issuetype": "Epic",
  "summary": "User Preferences System",
  "description": "[Epic description]"
})

# Create stories
for ticket in tickets:
  jira.create_issue({
    "project": "PROJ",
    "issuetype": "Story",
    "summary": ticket.title,
    "description": ticket.body,
    "epic_link": epic.key
  })

Pro Tips

1. One ticket, one thing: Avoid "also do X" tickets
2. Size appropriately: 1-3 days ideal, split if larger
3. Clear acceptance criteria: Engineers know when done
4. Link liberally: PRDs, designs, related tickets
5. Front-load context: Engineers shouldn't hunt for info
6. Call out edge cases: "What happens if X?"
7. Include examples: API requests, UI states, data samples

Output Format (Text Fallback)

=== TICKET 1 ===
Title: [Component] Action: Description
Project: [Project Name]
Type: Story
Priority: Medium

[Full ticket body]

=== TICKET 2 ===
...

Common Mistakes to Avoid

❌ Vague titles: "Fix preferences" ✅ Specific titles: "[API] Fix: Preferences endpoint returns 500 on missing user"

❌ No acceptance criteria ✅ Clear checklist of outcomes

❌ Missing dependencies ✅ "Blocked by PROJ-123, Blocks PROJ-125"

❌ No technical context ✅ API contracts, data schemas, edge cases documented

❌ Orphan tickets (no epic/parent) ✅ Linked to parent epic or PRD

Questions to Ask Before Creating

1. Scope clarity: Is this ticket too big/small?
2. Dependencies clear: What must happen first?
3. Edge cases documented: What could go wrong?
4. Testing defined: How will we verify this works?
5. Rollback plan: Can we undo if needed?

Remember: Great tickets save engineering hours. Invest time upfront to create clear, actionable work items.

Context Routing Strategy

When the PM uses /create-tickets, I automatically:

1. Extract Source Material Understanding

Source: PRDs in context-library/prds/, or uploaded documents

• What I look for: Acceptance criteria, technical requirements, design context
• How I use it: Generate detailed tickets with full context
• Example: "PRD says 'mobile-first', I'll note that in every ticket's technical notes"

2. Query Project Management MCPs

Source: Linear MCP, Jira MCP (if connected)

• What I look for: Existing epics, project structure, team assignments
• How I use it: Auto-link tickets to correct epic, assign to right teams
• Example: "Epic 'Voice Feature' exists, I'll link all tickets to it automatically"

3. Check Dependencies Across Roadmap

Source: context-library/prds/, related PRDs

• What I look for: What else is being built that might block this
• How I use it: Surface dependency tickets
• Example: "Notification system ships next sprint, Voice Feature depends on it"

4. Extract Acceptance Criteria from Success Metrics

Source: PRDs, /feature-metrics or /impact-sizing outputs

• What I look for: Testable success criteria
• How I use it: Convert metrics into ticket acceptance criteria
• Example: "Success metric 'adoption >60%' → AC: Feature instrumented to track adoption"

5. Route to Task/Ticket System

Routing logic:

• Linear connected: Create tickets directly in Linear
• Jira connected: Create tickets directly in Jira
• Neither connected: Generate formatted ticket text for manual entry
• Complex dependencies: Suggest ticket structure first before creation

Output Quality Self-Check

Before delivering tickets, verify:

• Every ticket has a clear, specific title -- "[Component] Action: Description" format, no vague titles like "Fix stuff"
• Every ticket has testable acceptance criteria -- At least 2-3 checkboxes that define "done"
• Every ticket has an effort estimate -- T-shirt size (XS/S/M/L/XL) assigned to each
• XL tickets flagged for splitting -- Any ticket estimated at 1-2 weeks has a suggested breakdown
• Dependencies mapped -- "Blocked by" and "Blocks" noted; dependency summary provided at the end
• Sprint/milestone assignment suggested -- If launch date provided, tickets grouped into Sprint 1/2/3
• Capacity checked -- If sprint assignments given, total effort compared to available developer-days
• Critical path identified -- Longest dependency chain highlighted with duration estimate
• PRD requirements fully covered -- Every PRD acceptance criterion maps to at least one ticket
• No orphan tickets -- All tickets linked to parent epic or PRD
• Technical context sufficient -- Engineers should not need to ask "what exactly do you want?" after reading the ticket

If any check fails, fix it before delivering. Bad tickets slow engineering down more than no tickets at all.

Design Tickets

This skill creates engineering tickets. For design team deliverables, use /design-backlog-writer instead — it generates Design Epics (DE) and Design Tasks (DT) with JTBD framing and field/component-level copy tables.

Correct workflow from a PRD:

1. /prd-draft → PRD in outputs/prds/
2. /design-backlog-writer → design epics + tasks in outputs/design-backlog/ ← do this first
3. /create-tickets → engineering user stories in outputs/backlog/engineering/ ← informed by design output

Design comes before engineering tickets. The design output (copy, states, conditionals, pre-fill rules, component specs) defines the exact scope engineers need to implement. Running /create-tickets before design is locked produces tickets that get rewritten.

When running this skill, check if a design backlog already exists in outputs/design-backlog/[feature]/ and reference it when writing acceptance criteria and technical notes.

Notion Sync

If you've set up a Notion-based PM tool, engineering tickets generated by this skill can be pushed to your Notion workspace (e.g., a Roadmap DB + Tasks DB).

To sync to Notion (if you've configured a sync skill):

1. Save output as EP-N_name.md (epics) and US-N.N_name.md (stories) in outputs/backlog/engineering/
2. Run your Notion sync skill — it picks up all files from that folder and pushes them to your Notion DBs

This is DIFFERENT from /sync-to-notion-doc, which pushes documents (PRDs, strategy) to a Documentation DB.