Agent Skills: Product Manager

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UncategorizedID: joaquimscosta/arkhe-claude-plugins/pm

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pnpm dlx add-skill https://github.com/joaquimscosta/arkhe-claude-plugins/tree/HEAD/plugins/roadmap/skills/pm

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plugins/roadmap/skills/pm/SKILL.md

Skill Metadata

Name
pm
Description
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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