agentsclimarketplace

Product

Skill gabros20/product-skill/skills/product

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, 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.From its SKILL.md

Install
npx -y skills add gabros20/product-skill --skill product

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

8.0 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it

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; system and technical decisions to architecture; 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. 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, segment and audience selection
Model the business and price itBusiness modelBusiness Model Canvas, pricing hypotheses (value-based, tiers, Van Westendorp)
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.

What ships with it: 16 files

100.2 KB alongside SKILL.md

agents/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.