user-stories

user-stories is a skill for Claude Code from unixcrh/phuryn-pm-skills. It costs 51 tokens per session (655 once invoked), scanned A, a copy of user-stories, MIT.

A user-story writing guide for turning product ideas into small, testable work items. It uses the 3 C's: Card, Conversation, and Confirmation, plus INVEST criteria for well-formed stories.

In plain words
What is it for?
Breaking features into user stories, defining user journeys, linking designs, and writing acceptance criteria that describe when each story is complete.
Why use it?
It helps teams turn vague feature requests into clear backlog items that developers, designers, and testers can discuss and verify.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-execution plugin — 15 skills, 10 commands shipped together

Good fit Breaking features into user stories, defining user journeys, linking designs, and writing acceptance criteria that describe when each story is complete.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/unixcrh/phuryn-pm-skills/user-stories
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add unixcrh/phuryn-pm-skills --skill user-stories
Clone the repo
git clone --depth 1 https://github.com/unixcrh/phuryn-pm-skills

Made for: Claude Code.

Or install pm-execution, the plugin that ships this one along with the rest of its 15 skills, 10 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for user-stories

README.md
[![agentmods](https://agentmods.dev/badge/skills/unixcrh/phuryn-pm-skills/user-stories/github.svg)](https://agentmods.dev/skills/unixcrh/phuryn-pm-skills/user-stories)
Your own site
<a href="https://agentmods.dev/skills/unixcrh/phuryn-pm-skills/user-stories"><img src="https://agentmods.dev/badge/skills/unixcrh/phuryn-pm-skills/user-stories/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for user-stories

Your own site · 80×15
<a href="https://agentmods.dev/skills/unixcrh/phuryn-pm-skills/user-stories"><img src="https://agentmods.dev/badge/skills/unixcrh/phuryn-pm-skills/user-stories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 655 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00655
Opus 5 $0.00026 $0.00328
Sonnet 5 $0.00010 $0.00131
Haiku 4.5 $0.00005 $0.00065

Measured 12d ago against content hash 8ce89cd81de5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

user-stories scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to user-stories — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

pm-execution/skills/user-stories/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Stories

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria. Generates stories with descriptions, design links, and acceptance criteria.

Use when: Writing user stories, breaking down features into stories, creating backlog items, or defining acceptance criteria.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature to break into stories
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $ASSUMPTIONS: Key assumptions or context

Step-by-Step Process

  1. Analyze the feature based on provided design and context
  2. Identify user roles and distinct user journeys
  3. Apply 3 C's framework:
    • Card: Simple title and one-liner
    • Conversation: Detailed discussion of intent
    • Confirmation: Clear acceptance criteria
  4. Respect INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, Testable
  5. Use plain language a primary school graduate can understand
  6. Link to design files for visual reference
  7. Output user stories in structured format

Story Template

Title: [Feature name]

Description: As a [user role], I want to [action], so that [benefit].

Design: [Link to design files]

Acceptance Criteria:

  1. [Clear, testable criterion]
  2. [Observable behavior]
  3. [System validates correctly]
  4. [Edge case handling]
  5. [Performance or accessibility consideration]
  6. [Integration point]

Example User Story

Title: Recently Viewed Section

Description: As an Online Shopper, I want to see a 'Recently viewed' section on the product page to easily revisit items I considered.

Design: [Figma link]

Acceptance Criteria:

  1. The 'Recently viewed' section is displayed at the bottom of the product page for every user who has previously viewed at least 1 product.
  2. It is not displayed for users visiting the first product page of their session.
  3. The current product itself is excluded from the displayed items.
  4. The section showcases product cards or thumbnails with images, titles, and prices.
  5. Each product card indicates when it was viewed (e.g., 'Viewed 5 minutes ago').
  6. Clicking on a product card leads the user to the corresponding product page.

Read the full file on GitHub · 75 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 75 lines · 51 tokens per session scan A 8ce89cd81de5

Subscribe to this mod's changes

user-stories is a skill published in the GitHub repository unixcrh/phuryn-pm-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 51 tokens to every session and 655 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to user-stories, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens