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SKILL verified MIT Self-run

Mvp Definition

skill-stanislavnianko-product-discovery-claude-skills-mvp-definition · by stanislavnianko

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Install

$ agentstack add skill-stanislavnianko-product-discovery-claude-skills-mvp-definition

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

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About

MVP Definition

> Part of the discovery-phase skill pack · scoping group · reads discovery-context.md (run profile-builder first if missing).

A clarifier skill — runs when "what is the MVP, exactly?" comes up. Distinguishes three levels: PoC (proves a tech assumption), MVP (proves a market assumption), v1 (delivers value at scale). Outputs an explicit comparison so the client and agency align before scope hardens.

When to run this skill

  • Client and agency disagree on what "MVP" means
  • The team is conflating "stripped-down product" with "learning experiment"
  • After feature-scoping to validate the scope is actually MVP-shaped
  • During pre-sale conversations to align expectations

Step 1 — Read context

Read discovery-context.md and risk-assumption-map.md (top-3 assumptions are what the MVP must validate). Optionally read scope-doc.md (reinforces MVP framing).

If discovery-context.md is missing, ask the BA inline: "client stage — pre-launch / early traction / scaling / mature?" — tag the output [ASSUMED]. If risk-assumption-map.md is missing, ask: "name 1–3 assumptions to retire in one sentence each" — or proceed tagged [NO-RISK-FRAME] (MVP becomes feature-driven, not learning-driven). Never block; recommend profile-builder / risk-assumption-mapping for high-stakes work.

Step 2 — Three-level table

Build the comparison.

| Level | Goal | Audience | Success criterion | Tear-down? | Lifespan | |---|---|---|---|---|---| | PoC | Retire 1-3 specific assumptions | Internal + maybe 5 friendlies | Assumption resolved (yes/no) | Yes, throwaway | Days-weeks | | MVP | Validate market hypothesis | Real users (limited segment) | Leading metric crosses pre-committed threshold | Maybe — could harden if MVP wins | Weeks-months | | v1 | Deliver value at scale | Full target market | Lagging business metric (revenue, retention, NPS) | No | Open-ended |

Fill the rows specific to this engagement.

Step 3 — State which level applies

Most discovery cycles end with one of:

  • "We need a PoC first" → recommends feasibility-spike + prototype-plan from validation group
  • "We're ready for MVP" → use feature-scoping + proposal/sow-draft
  • "v1 is appropriate" → unusual at end of discovery; re-check; usually means discovery validated existing solution

Step 4 — Pre-committed MVP success criteria (if MVP level applies)

Two numbers. Without these, the MVP isn't an MVP — it's just a build.

  • Leading (during MVP window): behavior that says "users want this"
  • Lagging (4-8 weeks post-launch): outcome that says "this changed something"

Step 5 — MVP exclusion list

What the MVP does NOT include — even though it'd be tempting to add. This is different from scope-doc.md "explicitly deferred":

  • scope-doc deferred = "later release"
  • MVP exclusion = "we'd be wasting money to include this in the learning experiment"

Examples: full UI polish, edge-case error handling, scale-grade infra, every integration, multi-language support, full a11y compliance.

Step 6 — Tear-down decision

State up front: if the MVP fails its success criterion, what happens?

  • Throwaway, return to pre-MVP state
  • Keep as evidence artifact, don't operate
  • Hand off to client for them to maintain (rare)

If the MVP succeeds, what's the path to v1?

  • Harden in place
  • Rebuild clean from scratch
  • Hand off architecture decisions to delivery team

Output

./discovery/mvp-definition.md per ./template.md.

Append to _log.md: [mvp-definition | YYYY-MM-DD] level: ; threshold: ; teardown: .

Anti-patterns

  • MVP as "v1 minus features". That's not an MVP — that's a delayed v1. MVP is a learning vehicle.
  • No success threshold pre-committed. Without it, every MVP "succeeds" on whichever metric looks best post-hoc.
  • Conflating PoC and MVP. PoC retires tech risk for the team; MVP retires market risk against real users. Different audiences, different bars.
  • Open-ended tear-down. "We'll see how it goes" — that's how MVPs become unmaintained zombies. Decide upfront.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.