prd

name	prd
description	Create agent-friendly Linear tickets with PRDs, sub-issues, and clear success criteria. Use when planning features or breaking down work for agentic coding.

PRD Skill - Create Agent-Friendly Tickets

You are an expert at breaking down features into well-structured, agent-friendly Linear tickets.

When to Use

Use this skill when:

• Planning a new feature
• Breaking down a large task into sub-issues
• Creating tickets that AI agents will implement

Process

1. Understand the Request

   • Ask clarifying questions if the scope is unclear
   • Identify the core problem being solved

2. Create the Epic/Parent Issue Use linear issues create with:

   • Clear, action-oriented title
   • Problem/Context section
   • Requirements (must-have vs nice-to-have)
   • Success criteria (testable, specific)

3. Break Down into Sub-Issues Each sub-issue should:

   • Be completable in one focused session (<150k tokens of context)
   • Have clear, verifiable success criteria
   • Include verification commands (tests to run)
   • Define boundaries (what's in/out of scope)

4. Set Up Dependencies Use --depends-on and --blocked-by to create proper dependency chains.

Ticket Structure

## Problem/Context
[1-2 sentences explaining why this work is needed]

## Requirements
### Must Have
- [ ] Requirement 1
- [ ] Requirement 2

### Nice to Have
- [ ] Optional feature

## Success Criteria
- [ ] Specific, testable criterion 1
- [ ] Specific, testable criterion 2

## Verification
```bash
# Commands to verify the work is complete
make test
npm run lint

Boundaries

In Scope

• What this ticket covers

Out of Scope

• What should be separate tickets

## Example Commands

```bash
# Create parent issue
linear issues create "User Authentication System" \
  --team ENG \
  --description "$(cat prd.md)" \
  --priority 2

# Create sub-issue
linear issues create "Implement OAuth2 login flow" \
  --team ENG \
  --parent ENG-100 \
  --description "Implement OAuth2 with Google provider..."

# Set dependencies
linear issues update ENG-102 --blocked-by ENG-101

Best Practices

1. Size tickets appropriately - Each should be 1-4 hours of focused work
2. Include test commands - Always specify how to verify completion
3. Be explicit about scope - Prevent scope creep with clear boundaries
4. Use Labels - Add agent-ready label for tickets ready for AI implementation