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gabros20gabros20/product-skill/skills/product/SKILL.md

product

Skill1 starsChanged 4 months agoMITView on GitHub

Decide what to build, for whom, and why, then specify it for delivery — product discovery, strategy, and PRDs across websites, web/SaaS apps, mobile, agentic/AI products, and internal tools. Use for opportunity discovery, user and market research, jobs-to-be-done, strategy and positioning, business-model and pricing, dunning/billing-failure recovery, market sizing, PRDs and acceptance criteria, prioritization and roadmaps, success metrics and metric-trees, and risk/assumption registers. Not for UI/experience design, implementation, system architecture, marketing/GTM, or growth experiments — recommend those sibling skills.

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 13 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read every selected reference completely before producing the affected artifact.

    line 39
  2. Distinctive:

    Prioritization is multi-engine: Run every applicable framework, report the *divergence* as the finding, and refuse to fabricate missing …

    line 77
  3. Very specific:

    When downstream work is expected, emit the handoff.yaml companion with artifact paths, constraints, decisions, risks, and the recommended …

    line 109

“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Product Strategy

Mission and boundary

Decide what to build, for whom, and why it matters — then specify it precisely enough that design and engineering can build the right thing. Own the front of the product lifecycle: discovery, strategy, definition, prioritization, and the measures of success. Produce validated problems, strategy, positioning, PRDs, prioritized roadmaps, success metrics, and a living risk register.

Own the decision about what to build; not its execution. Experience and UI design belong to design; production code to frontend, server behavior to backend, the analytical data plane to data, and model-driven behavior to ai; system and technical decisions to architecture; the ship/no-ship decision and independent verification to quality; running the product in production to operate; demand generation, positioning-as-market-copy, and go-to-market to marketing; funnel experimentation and growth loops to growth; qualification and CRM to sales; onboarding, support, and adoption to success; and business processes spanning systems the product does not own to automation. Contribute to those; own none. Operate independently when invoked alone; when upstream artifacts (research, founder brief, existing analytics) are supplied, use them without silently overriding established decisions. Recommend adjacent skills; never invoke them automatically unless the user requested a composition workflow.

Route before acting

  1. Identify the one primary job the request needs.
  2. Select at most one surface overlay — the product type reshapes discovery, metrics, and the PRD.
  3. Read every selected reference completely before producing the affected artifact; do not load unrelated references.
  4. For an agentic/AI product, always add the agentic overlay — it changes acceptance criteria, metrics, and risk.

Primary job

User intentReadProduce
Discover the problem, talk to users, synthesize researchDiscoveryOpportunity Solution Tree, interview plan/synthesis, validated problem, JTBD
Set product vision and strategyStrategyStrategy kernel, vision, principles, Lean Canvas
Position the product and define its value propositionPositioningPositioning statement, value-proposition canvas, beachhead (segment/audience) selection with disqualifiers, proof-backed claim ledger
Model the business and price itBusiness modelBusiness Model Canvas, economic-value (ROI) model, pricing hypotheses (value-based, tiers, Van Westendorp), dunning/billing-failure recovery (involuntary churn)
Size the market and analyze competitorsMarketTAM/SAM/SOM with source-calibrated confidence, competitor profiles, landscape
Write the PRD, spec, or acceptance criteriaPRDAltitude-flexed PRD (1-pager ↔ full ↔ machine-readable), Given/When/Then criteria, user/job stories
Prioritize and build a roadmapPrioritizationMulti-engine prioritization (RICE/ICE/Opportunity-Score/Kano/MoSCoW) + outcome roadmap
Define success metricsMetricsNorth-star + metric tree, HEART/AARRR mapping, guardrails, OKRs
Surface and maintain risks and assumptionsRisk registerLiving register: assumption taxonomy, demand hierarchy, evidence ladder, red-team, pre-mortem

Surface overlay (at most one)

Product typeReadReshapes
Marketing or content websiteWebsiteConversion goal, positioning-led discovery, audience journey
Web or SaaS applicationApp & SaaSActivation/retention, pricing tiers, MRR/churn metric trees, commercial lifecycle
Mobile app (iOS/Android)MobileApp-store context, platform expectations, mobile discovery
Agentic / AI productAgenticCapability & failure-mode mapping, eval-as-acceptance-criteria, human-in-loop, non-determinism/latency/cost/safety risk, model choice
Internal or enterprise toolInternalStakeholder-driven, adoption over acquisition

Universal invariants

  • Discovery before solution. Frame opportunities, not features; never let stakeholders design the solution before the problem is validated. When uncertainty is about desirability, run the cheapest probe that tells the harshest truth before committing to build.
  • Label evidence. Tag every claim as Fact (source-supported), Inference (reasoned), or Assumption (unvalidated). Assumptions flow to the risk register, not into a fabricated fact.
  • Numbers carry calibrated confidence. Market sizes and metric targets are ranges with a source-quality tier, never a false single point. TAM is a ceiling; derive revenue from SOM.
  • Prioritization is multi-engine. Run every applicable framework, report the divergence as the finding, and refuse to fabricate missing inputs rather than forcing one rank.
  • Outcomes over outputs; specificity over superlatives. A metric, a %, a timeframe, a named segment — never "great results" or "everyone."
  • State the surface and the register. Name the product type; recommend — never silently invoke — sibling skills for work you do not own.

Core workflow

  1. Inspect the request, evidence, constraints, and existing artifacts.
  2. Select the smallest sufficient route: one primary job, at most one surface overlay.
  3. Record material assumptions and unresolved inputs; open a risk-register entry for each.
  4. Produce the requested artifact grounded in the named framework the reference specifies.
  5. Validate it against the request, constraints, and acceptance criteria; state confidence.
  6. Emit a compact handoff when downstream design/architecture work is expected.

Artifact contract

Each reference defines its artifact. Every product artifact must record: the objective and target segment; facts/inferences/assumptions distinguished; the decisions made and their evidence; success metrics or acceptance criteria; open questions with owners. A PRD additionally states scope (in/out/future), and — for an agentic product — its eval set as acceptance criteria. Provide a machine-readable companion (handoff.yaml) whenever downstream work is expected; see Handoff.

Completion and handoff

Before completion:

  • Confirm every requested artifact exists and its acceptance criteria are checkable.
  • Record decisions, assumptions, risks, and unresolved questions with owners.
  • Distinguish validation performed from validation remaining; state confidence honestly.
  • When downstream work is expected, emit the handoff.yaml companion with artifact paths, constraints, decisions, risks, and the recommended next skill — without duplicating the full artifact.

Resources

Load only what the selected route requires.

  • Primary jobs: discovery · strategy · positioning · business-model · market · prd · prioritization · metrics · risk-register
  • Surface overlays: website · app-saas · mobile · agentic · internal
  • Pipeline: handoff — standalone vs pipeline behavior and the handoff.yaml companion consumed by design and architecture.

Artifact home

Deliverables this skill produces default to digital-product/product/ at the working repository's root, with cross-skill state in digital-product/LEDGER.md — created on first use and committed with the repo. The digital-product composer skill owns this convention; solo use writes to the same place. Never write into .orchestrate/ — that folder belongs to an orchestration run's execution state, not to this family's deliverables.

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