feat: v12.0.0 — 150-skill milestone, 15 new skills across 10 bundles
Adds 15 new skills reaching the 150-skill milestone: Data & Analytics (pm-data): - cohort-analysis: retention curves, LTV projection, behavioural segmentation, SQL reference queries - data-pipeline-spec: ETL/ELT design with SLAs, DQ rules, error handling, compliance Customer Success (pm-cs): - renewal-playbook: health snapshot, value story, commercial scenarios, objection responses, 16-week timeline - customer-success-plan: joint success plan with milestones, mutual commitments, escalation path People & Leadership (pm-people): - 360-feedback-template: survey instrument + narrative report with strengths and development themes - team-health-check: Spotify-model assessment across 7 dimensions with facilitation guide Operations (pm-operations): - risk-register: L×I scoring, RAG heat map, mitigation and contingency plans - raci-matrix: role definitions, decision map, anti-pattern guide, communication template Marketing & GTM (pm-gtm): - social-media-strategy: audience profile, content pillars, KPIs, 4-week starter calendar - product-positioning-doc: April Dunford-style positioning, messaging hierarchy, persona messaging Discovery (pm-discovery): - customer-journey-map: stage-by-stage journey with touchpoints, emotions, and prioritised opportunities Delivery (pm-delivery): - user-story-writer: Given/When/Then ACs, edge cases, definition of done, epic decomposition Advanced (pm-advanced): - ai-ethics-review: fairness, bias, transparency, privacy, safety, accountability, societal impact Sales (pm-sales): - partnership-proposal: mutual value, commercial model, joint GTM plan, governance Design (pm-design): - design-system-audit: component coverage, token consistency, WCAG, adoption, remediation roadmap Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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---
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name: user-story-writer
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description: "Write well-structured user stories with acceptance criteria and edge cases. Use when asked to write user stories, create tickets from a feature brief, convert a PRD into stories, or write acceptance criteria. Produces ready-to-estimate stories in the standard format with clear acceptance criteria, edge cases, and definition of done."
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---
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# User Story Writer Skill
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This skill produces production-ready user stories from a feature brief, PRD section, or verbal description. Each story follows the standard format with a clear who/what/why, behavioural acceptance criteria in Given/When/Then format, edge cases, and definition of done. Output is ready to paste into Jira, Linear, or your planning tool.
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## Required Inputs
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Ask the user for these if not provided:
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- **Feature or change** to break into stories — paste the brief, PRD section, or describe the feature
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- **User types / personas** involved (e.g. admin, end user, guest, API consumer)
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- **Scope** — are we writing one story or decomposing an epic into a full set of stories?
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- **Acceptance criteria format preference** — Given/When/Then, bullet checklist, or both?
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- **Technical constraints or notes** — anything the engineering team has flagged that should shape the stories
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## Output Structure
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For each story:
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---
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## Story: [Short title — verb + noun, e.g. "Filter search results by date range"]
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**Epic:** [Parent epic name — e.g. "Advanced Search"]
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**Story ID:** [Jira/Linear ID — leave blank if not yet created]
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**Priority:** [P1 / P2 / P3]
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**Story points:** [Leave blank — for engineering to estimate]
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---
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### User Story
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> **As a** [specific user type — not "user"],
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> **I want to** [concrete action they want to take],
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> **So that** [the outcome they achieve — business value, not feature description].
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**Example:**
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> As an **account manager**,
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> I want to **filter my client list by last contact date**,
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> so that I **can quickly identify clients I haven't spoken to in over 30 days and prioritise outreach**.
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---
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### Context
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[1–3 sentences of context that aren't in the user story itself: when does this story matter, what triggers the need, how does it fit into a larger flow. This helps engineers understand why before they ask.]
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---
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### Acceptance Criteria
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**Format: Given / When / Then**
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Each criterion tests one specific behaviour. Write one GWT per observable outcome — not one GWT for the whole feature.
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**AC1: [Short name for this criterion]**
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```
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Given [starting state or context]
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When [user action]
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Then [observable system behaviour]
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```
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**AC2: [Short name]**
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```
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Given [...]
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When [...]
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Then [...]
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```
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**AC3: [Short name]**
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```
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Given [...]
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When [...]
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Then [...]
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```
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---
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### Edge Cases
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[List scenarios that are non-obvious but must be handled. These become additional ACs or notes to engineering.]
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- [ ] **[Edge case 1]:** [e.g. User applies a date filter that returns 0 results — show empty state with clear messaging and a "clear filters" action]
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- [ ] **[Edge case 2]:** [e.g. User has >10,000 clients — filter must not degrade load time >200ms]
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- [ ] **[Edge case 3]:** [e.g. Date filter persists across page refresh — or explicitly should not if that's the decision]
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- [ ] **[Permission edge case]:** [e.g. Read-only users can see the filter but cannot save filter presets]
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---
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### Out of Scope
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[Explicitly state what this story does NOT cover — prevents scope creep and clarifies where the next story begins.]
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- Saving and sharing filter presets (separate story — see [Story X])
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- Bulk actions on filtered results
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- Exporting filtered client list to CSV
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---
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### Definition of Done
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- [ ] Acceptance criteria all pass
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- [ ] Edge cases handled (or explicitly deferred with a new ticket raised)
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- [ ] Unit tests written for each AC
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- [ ] Works on mobile viewport (if applicable)
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- [ ] Accessibility: keyboard navigable and screen-reader compatible
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- [ ] Error states are handled and copy approved
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- [ ] Product and design have reviewed in staging
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- [ ] No console errors in production build
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---
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## Epic Decomposition Template
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If the user provides an epic or feature brief, decompose it into a full set of stories before writing them:
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**Epic:** [Name]
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**Goal:** [What outcome does completing this epic achieve?]
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**Stories:**
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| # | Story | Notes | Dependencies |
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|---|---|---|---|
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| 1 | [Core happy path story — the simplest version of the feature that delivers value] | | |
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| 2 | [Validation / error handling story] | | Depends on #1 |
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| 3 | [Edge case or power user story] | | Depends on #1 |
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| 4 | [Admin or configuration story] | | |
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| 5 | [Performance or scale story — if applicable] | | Depends on #1 |
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**Suggested sprint order:** [Which stories are P1 for MVP? Which can follow in a later sprint?]
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---
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## Common Story Anti-Patterns — and Fixes
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Use these to review stories before handing to engineering:
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| Anti-pattern | Example | Fix |
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| **Solution in the story** | "As a user I want a dropdown filter" | Remove the UI decision — "As a user I want to filter by date range" |
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| **Vague "so that"** | "so that it's easier to use" | Make it specific — "so that I can prioritise outreach without opening each record manually" |
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| **Too big** | Story covers 5 distinct user flows | Split into separate stories per flow |
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| **No acceptance criteria** | Story has description only | Add at least 3 GWT criteria before engineering starts |
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| **ACs that test the solution, not the behaviour** | "Given the dropdown is open, When I select an option" | Test the outcome — "Given I have applied a date filter, When I view my results, Then only clients last contacted in that date range appear" |
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| **Missing empty state** | No AC for what happens with 0 results | Add it — empty states are part of the feature |
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| **Missing error state** | No AC for network failure or invalid input | Add error handling ACs explicitly |
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---
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## Example: Full Story Set for a Feature
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**Feature brief:** "Allow users to export their invoice history as a PDF or CSV"
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---
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### Story 1: Export invoice list as CSV
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> As a **finance admin**,
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> I want to **export my invoice history as a CSV file**,
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> so that I can **import it into our accounting software without manual data entry**.
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**AC1: Successful export**
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```
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Given I am on the Invoices page with at least one invoice
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When I click "Export" and select "CSV"
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Then a CSV file is downloaded containing all visible invoices with columns: Invoice ID, Date, Amount, Status, Customer Name
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```
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**AC2: Empty state**
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```
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Given I am on the Invoices page with no invoices
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When I click "Export"
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Then the export button is disabled and a tooltip reads "No invoices to export"
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```
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**AC3: Filtered export**
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```
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Given I have applied a date filter showing invoices from Jan 2026 only
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When I click "Export" and select "CSV"
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Then the export contains only invoices from Jan 2026 — not all invoices
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```
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**Edge cases:**
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- [ ] Export with >10,000 invoices — must complete in <30s or show a progress indicator
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- [ ] Export triggered on mobile — downloads to device's default download location
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**Out of scope:** PDF export (Story 2), scheduled exports (future epic)
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---
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### Story 2: Export invoice list as PDF
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> As a **finance admin**,
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> I want to **export my invoice history as a formatted PDF**,
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> so that I can **share a professional summary with our accountant**.
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[... ACs follow same pattern ...]
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---
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## Quality Checks
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- [ ] Every story has a specific user type — not "a user" or "the system"
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- [ ] The "so that" explains business value — not just feature description
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- [ ] Each AC tests one observable outcome — not a bundle of behaviours
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- [ ] Empty states, error states, and edge cases are explicitly handled
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- [ ] Out of scope is documented — not assumed
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- [ ] Stories are independent — they can be shipped individually without depending on unreleased work (except where explicitly noted)
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## Example Trigger Phrases
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- "Write user stories for [feature] from this brief"
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- "Break this PRD section into user stories with acceptance criteria"
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- "Convert these feature requirements into Jira tickets"
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- "Write the user stories and ACs for [feature name]"
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- "Decompose this epic into individual stories ready for sprint planning"
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