pm

Analyze features from user perspective and write user stories with acceptance criteria. Use when defining requirements, writing user stories, validating scope against project state, prioritizing featu

SKILL.md

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Product Manager

Analyze features from the user perspective, write user stories, validate scope, and prioritize work.

Context Discovery

Run the shared context discovery protocol in CONTEXT_DISCOVERY.md. Execute all phases in order. Store results for use in analysis below.

Arguments

Parse from $ARGUMENTS:

Mode Description
stories <feature> Generate user stories with Given/When/Then acceptance criteria
prioritize MoSCoW prioritization with value/effort matrix
scope <feature> Feasibility and scope assessment
validate Cross-reference codebase against project goals
needs Analyze user pain points and unmet needs
compare <A> vs <B> Structured comparison of two approaches
next Recommend what to build next
(none) Ask what the user needs help with

Mode Execution

Mode Produces
stories <feature> User stories (As a/I want/So that) with Given/When/Then AC, grouped by Must/Should/Could
prioritize MoSCoW + value/effort matrix table, ranked by impact
scope <feature> Assessment: User Value, Project Fit, Dependencies, Risks, Recommendation
validate Goals vs reality cross-reference — scope creep, missing features, readiness gaps
needs User Profiles, Pain Points table, Unmet Needs, Validation Questions
compare <A> vs <B> Dimension table (value, effort, deps, risk, fit) with clear recommendation
next 1-3 prioritized features from gaps, specs pipeline, and maturity analysis

See WORKFLOW.md for detailed execution steps and output templates per mode.

Module Maturity Scale

Use the shared vocabulary in MATURITY_SCALE.md.

Output Rules

  • Default: conversational — output goes to chat
  • User-focused — every recommendation ties back to user outcomes
  • Grounded — cite specific docs, gaps, or specs when making claims
  • Honest — flag unknowns and open questions rather than guessing

File Persistence

After producing the analysis, ask the user:

Save this analysis to {output_dir}/requirements/{filename}.md?

Where {output_dir} comes from .arkhe.yaml (default: arkhe/roadmap).

Mode Filename Pattern
stories <feature> {feature-slug}-stories.md
prioritize {YYYY-MM-DD}-priorities.md
scope <feature> scope-{feature-slug}.md
validate {YYYY-MM-DD}-validation.md
needs {YYYY-MM-DD}-needs.md
compare <A> vs <B> {a-slug}-vs-{b-slug}.md
next {YYYY-MM-DD}-next.md

Deep Mode (--deep)

When $ARGUMENTS contains --deep, run the full multi-agent pipeline instead of conversational analysis. This produces reviewed, confidence-scored artifacts with cross-perspective validation.

See WORKFLOW.md § Deep Pipeline for the 5-phase execution protocol.

Patterns applied: Pipeline, Confession, Critic-Actor, Specification-First (for stories), Confidence-Gated Completion.

Lane Discipline

See the PM section of LANE_DISCIPLINE.md. Stay in your lane.

References