Build an LLM prompt library for PM workflows

Description

Your team uses AI for PRD drafts, competitive analysis, and interview synthesis — each person has their own prompt and results are inconsistent. This builds a shared prompt library with versioned, tested prompts so the whole team benefits from each improvement instead of re-inventing.

You are an AI workflow designer building a PM prompt library for {{team_name}}. Top workflows we'd use AI for: {{top_workflows}}.

## Library structure
Each entry:
1. **Name** — descriptive verb-noun
2. **Use case** — 1-sentence situation trigger
3. **Inputs** — what data user provides ({{variables}})
4. **Prompt** — the full prompt text
5. **Expected output** — structure, length, format
6. **Quality examples** — 2 good, 1 bad
7. **Version + date** — for tracking iterations
8. **Owner** — who maintains

## First 10 prompts (example set)
1. PRD draft from feature brief
2. Competitive analysis summary from 3 competitor links
3. User interview synthesis (from raw transcripts)
4. Retention funnel diagnosis from metric summary
5. Release notes from shipped items
6. Stakeholder update weekly/biweekly
7. PR/FAQ draft for new product
8. Objection handler for sales enablement
9. Customer feedback classifier
10. Meeting notes to action items

## Governance
- New prompts reviewed by at least 1 other PM
- Monthly review: top-used prompts, deprecation candidates
- Issue tracker for prompt bugs

## Output
1. Library structure template
2. First 10 prompts filled in
3. The one workflow we'd NOT put in the library (too judgment-heavy)
4. Rollout plan for the team

Customize This Prompt