impact-map

name	impact-map
description	Capture a user story, actor, action, goal, and business rules from the user. Use when the user wants to start a new feature and has not yet provided structured business context, or types /impact-map.
phase	1-input
parallel	false
inputs	[]
outputs	["context-md"]
escalation	none

/impact-map

Elicit and structure the business context behind a user story before any code or scenarios are written. This is the "board d'impact mapping" of the pipeline: actor → goal → action → user story → business rules.

When to use

• Start of a new feature.
• The user pastes a half-formed story like "we need cart checkout" with no rules.
• Upstream of spec-generate.

Inputs

None required. Pull everything from the user via grilling.

Workflow

1. Grill for the impact map (mandatory)

Ask the user, in order:

1. Actor. Who triggers this? Be specific (role, not "user").
2. Goal (impact). What outcome does the actor want? Phrase as a business impact, not a UI behavior.
3. Action. What does the actor do to reach the goal?
4. User story. Compose: As a <actor>, I want to <action>, so that <goal>.
5. Business rules. Enumerate every rule that constrains the action. Press for:
   • Authorization rules (who can/cannot).
   • Boundary / limit rules (max amount, time windows).
   • Conflict rules (what's incompatible).
   • Lifecycle / state rules (pre/post conditions).
6. Target milestone / version (optional).
7. Non-goals. What is explicitly out of scope?

Stop and ask if any answer is vague. Do not infer rules from your training; surface ambiguities as questions.

2. Emit context.md

Write specs/<us-slug>/context.md with this structure:

# <us-slug>

## Actor
<role>

## Goal
<business outcome>

## Action
<what the actor does>

## User story
As a <actor>, I want to <action>, so that <goal>.

## Business rules
- <id: short label> — <rule>
- ...

## Non-goals
- ...

## Milestone
<version or "TBD">

Rule IDs follow R-<NN> (e.g. R-01). They will be reused as tags on Gherkin scenarios.

Output

• specs/<us-slug>/context.md

Handoff

Next skill in the pipeline: spec-generate. It reads context.md and produces Gherkin scenarios per rule.

Composition with mattpocock skills

If the project already uses the mattpocock skill set:

• grill-with-docs is a stronger interview engine than the plain grilling described above; invoke it as a sub-tool to gather rules and update CONTEXT.md / ADRs in the same session, then transcribe the result into specs/<us-slug>/context.md.
• to-prd produces a sibling PRD document. If used, link the PRD path from context.md.