Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
日本語の概要は準備中です。原文の説明を表示しています。
Create user stories with Mike Cohn format and Gherkin acceptance criteria. Use when turning user needs into development-ready work with clear outcomes and testable conditions.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Create clear, concise user stories that combine Mike Cohn's user story format with Gherkin-style acceptance criteria. Use this to translate user needs into actionable development work that focuses on outcomes, ensures shared understanding between product and engineering, and provides testable success criteria.
This is not a feature spec—it's a conversation starter that captures who benefits, what they're trying to do, why it matters, and how you'll know it works.
Works best with: The feature or user need the story captures. Also useful: The user role, the outcome they want, and edge cases the acceptance criteria must cover.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The skill asks who the user is and what they're trying to accomplish before drafting story and Gherkin criteria.
Example invocation: Write user stories for password reset via SMS for our banking app — include the lockout edge case.
A user story combines:
Use Case (Mike Cohn format):
Acceptance Criteria (Gherkin format):
skills/user-story-splitting/SKILL.md)Before writing a story, ensure you have:
skills/proto-persona/SKILL.md)skills/problem-statement/SKILL.md)If missing context: Run discovery interviews or problem validation work first.
If you want a consistent Markdown stub, you can generate one from CLI inputs. This script is deterministic and does not fetch data or write files.
python3 scripts/user-story-template.py --persona \"trial user\" --action \"log in with Google\" --outcome \"access the app without creating a new password\"
Use template.md for the full fill-in structure.
Fill in the template:
### User Story [ID]:
- **Summary:** [Brief, memorable title focused on value to the user]
#### Use Case:
- **As a** [user name if available, otherwise persona, otherwise role]
- **I want to** [action user takes to get to outcome]
- **so that** [desired outcome]
Quality checks:
Common mistakes:
Fill in the template:
#### Acceptance Criteria:
- **Scenario:** [Brief, human-readable scenario describing value]
- **Given:** [Initial context or precondition]
- **and Given:** [Additional context or preconditions]
- **and Given:** [Additional context as needed]
- **and Given:** [UI-focused context ensuring 'When' can happen]
- **and Given:** [Outcomes-focused context ensuring 'Then' is delivered]
- **When:** [Event that triggers the action—aligns with 'I want to']
- **Then:** [Expected outcome—aligns with 'so that']
Quality checks:
Red flags:
skills/user-story-splitting/SKILL.md)Write a short, memorable summary that captures the story's value:
- **Summary:** [Brief, human-readable title]
Examples:
skills/user-story-splitting/SKILL.mdSee examples/sample.md for full examples (good, bad, and split-needed stories).
Mini example excerpt:
### User Story 042:
- **Summary:** Enable Google login for trial users to reduce signup friction
#### Use Case:
- **As a** trial user visiting the app for the first time
- **I want to** log in using my Google account
- **so that** I can access the app without creating and remembering a new password
#### Acceptance Criteria:
- **Scenario:** First-time trial user logs in via Google OAuth
- **Given:** I am on the login page
- **and Given:** I have a login account
- **When:** I click the "Sign in with Google" button and authorize the app
- **Then:** I am logged into the app and redirected to the onboarding flow
Symptom: "As a developer, I want to refactor the API, so that the code is cleaner"
Consequence: This is an engineering task, not a user story. No user value is delivered.
Fix: If there's no user outcome, it's not a user story—use an engineering task or tech debt ticket instead.
Symptom: Every story starts with "As a user"
Consequence: No persona clarity. Different users have different needs.
Fix: Use specific personas: "As a trial user," "As a paid subscriber," "As an admin," etc. (reference skills/proto-persona/SKILL.md)
Symptom: "I want to click the save button, so that I can save my work"
Consequence: No insight into why the user cares. Just restating the action.
Fix: Dig into the motivation: "so that I don't lose my progress if the page crashes" (real outcome).
Symptom: Acceptance criteria with 5 "When" statements and 5 "Then" statements
Consequence: Story is too big. Likely multiple features bundled together.
Fix: Split the story using skills/user-story-splitting/SKILL.md. Each When/Then pair should be its own story (or at least evaluated for splitting).
Symptom: "Then the user has a better experience" or "Then it's faster"
Consequence: QA can't verify success. Ambiguous definition of "done."
Fix: Make it measurable: "Then the page loads in under 2 seconds" or "Then the user sees a success confirmation message."
skills/user-story-splitting/SKILL.md — How to break large stories into smaller onesskills/proto-persona/SKILL.md — Defines the "As a [persona]" sectionskills/problem-statement/SKILL.md — Stories should address validated problemsskills/epic-hypothesis/SKILL.md — Epics decompose into user storiesskills/user-story/scripts/user-story-template.py — Deterministic Markdown stub generator (no network access)prompts/user-story-prompt-template.md in the https://github.com/deanpeters/product-manager-prompts repo.Skill type: Component
Suggested filename: user-story.md
Suggested placement: /skills/components/
Dependencies: References skills/proto-persona/SKILL.md, skills/problem-statement/SKILL.md
Used by: skills/user-story-splitting/SKILL.md, skills/epic-hypothesis/SKILL.md
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概要と使いどころ
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
日本語の概要は準備中です。原文の説明を表示しています。
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process.
日本語の概要は準備中です。原文の説明を表示しています。
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
日本語の概要は準備中です。原文の説明を表示しています。
Understand the PM-to-Director transition through altitude and horizon thinking. Use when diagnosing scope, time-horizon, or leadership-level gaps.
日本語の概要は準備中です。原文の説明を表示しています。
Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk.
日本語の概要は準備中です。原文の説明を表示しています。
The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.
日本語の概要は準備中です。原文の説明を表示しています。