storymap-skill

PackAI & models

storymap-skill is a plugin for AI agents that does user story mapping in the Jeff Patton style. It turns a goal, brief, or messy backlog into a sliced, prioritized delivery plan with per-persona stories, so an agent can produce a structured story map instead of an unorganized list.

Unavailable. Delivery for this kind is on the roadmap — not serving yet.

Have an AI agent environment that supports plugins.

What your AI can do with it

  • Builds a user story map from scratch from a stated goal
  • Creates a story map from a written brief
  • Converts a messy backlog into a sliced, prioritized delivery plan
  • Refines an existing story map in a refinement mode
  • Prioritizes stories using WSJF, RICE, or MoSCoW
  • Slices the map using Patton-style strategies and writes per-persona stories

Getting started

  1. Have an AI agent environment that supports plugins.
  2. Install the storymap-skill plugin.
  3. Prepare your input: a goal, a brief, an existing backlog, or a map to refine.
  4. Invoke the plugin in the mode that matches your input and choose a prioritization method and slicing strategy.

Signals

GitHub stars
40k
Forks
4k
Last commit
Sep 2026

Questions

What inputs does it accept?
It accepts a goal, a brief, a messy backlog, or an existing map for refinement, matching its four invocation modes: from scratch, brief, backlog, and refinement.
Which prioritization methods does it support?
Three: WSJF, RICE, and MoSCoW.
Does it write stories for specific users?
Yes, it produces per-persona stories as part of the delivery plan.
What slicing strategies are available?
It offers three slicing strategies, including Patton-style slicing; the description is cut off before naming the others.
Advanced
Item type
plugin
Key
wshobson-agents-storymap-skill
Source
github.com/wshobson/agents