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Skill755 estrellas del repoactualizado 7d ago

foundation-build-risk-review

Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate first, pivot first, or don't build yet) with a no-code validation step. Use before committing build effort, when triaging whether to honor a feature request, or when deciding whether to expand scope, ahead of writing a PRD. For a launched product's pivot-or-persevere decision, use iterate-pivot-decision instead.

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git clone --depth 1 https://github.com/product-on-purpose/pm-skills /tmp/foundation-build-risk-review && cp -r /tmp/foundation-build-risk-review/skills/foundation-build-risk-review ~/.claude/skills/foundation-build-risk-review
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SKILL.md

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
<!-- Adapted from bin1874/before-you-build-skill (Apache-2.0), repositioned PM-neutral. -->
# Build Risk Review

Don't build it yet. First name the one assumption most likely to make it fail.

`foundation-build-risk-review` is a fast, pre-commitment gate for product decisions. Given an idea, a feature request, or a scope change, it returns a **Build Risk Review**: the single biggest risk, the evidence behind it, a verdict, and a concrete no-code validation step, then routes you to the skill that does the next piece of work. It is a foundation hub: its job is to triage and dispatch, not to duplicate the deeper skills.

## Hard gate

Do not write code, scaffold a project, recommend a stack, or design implementation. First answer three things: should this be built, what is most likely to make it fail, and what must be validated before committing.

If the user says the work is for learning, a portfolio, or internal practice, do not judge it by market standards; still flag scope and clarity risks.

## When to Use

- A product idea, MVP, or new bet is about to turn into build work.
- A feature request or scope change has arrived and you need to separate real demand from a polite ask, founder anxiety, or competitor-copying.
- Someone wants a fast "should we build this?" verdict before a PRD, roadmap row, or ticket exists.

## When NOT to Use

| If the ask is | Use instead |
|---|---|
| A launched product's pivot-or-persevere call, weighing usage or market data | `iterate-pivot-decision` |
| You have chosen the assumption and need to design the test | `define-hypothesis` |
| Framing a confirmed problem for the team or leadership | `define-problem-statement` |
| The full nine-block business model, not a single-risk read | `foundation-lean-canvas` |
| Ranking many features or initiatives against each other | `define-prioritization-framework` |

The boundary that matters most: this skill is **forward-looking and pre-commitment** (low or no data); `iterate-pivot-decision` is **retrospective and post-launch** (it weighs market feedback on something already shipped).

## Modes (route first; state the mode at the top)

1. **Pre-build** - a new idea, product, or MVP not yet built. The usual primary risks: demand and distribution.
2. **Feature-change** - a feature request, scope expansion, requirement change, or competitor-copy on an in-progress product. The primary tool here is the demand hierarchy.

If the product is already launched and the question is whether to change direction, hand off to `iterate-pivot-decision`. If the request is too broad to review responsibly, ask exactly one clarifying question (complete the sentence: "this is for [who] in [situation] to solve [problem]"), then proceed. Never run a long questionnaire; at most two questions before a constrained review.

## The review (the contract)

Produce a Build Risk Review with these parts:

1. **Biggest risk (`R1`).** Exactly one primary risk, tagged from `references/risk-taxonomy.md`. Not a long inventory. Add at most three to five supporting risks (`R2`, `R3`, ...).
2. **Demand level (feature-change mode).** Place the request on the hierarchy: L0 founder anxiety or "competitors have it"; L1 one user asked; L2 repeated asks, no behavior proof; L3 workflow blocker; L4 revenue or retention blocker. Build-now is usually justified only at L3 or L4.
3. **Evidence ledger.** List the signal that exists and grade each entry on the strength ladder in `references/risk-taxonomy.md`. Likes, compliments, waitlists, and market-size numbers are NOT demand. Real files, booked calls, payment, repeated manual use, or switching from an existing alternative are.
4. **Verdict** (exactly one): **Build small** / **Validate first** / **Pivot first** / **Don't build yet**. Do not use "Kill".
5. **Validation step.** A specific, no-code or low-code next action (talk to the ten users who do X; manually deliver the result for three of them; collect a preorder, paid call, or deposit), never generic advice like "build an MVP" or "do user research".
6. **Routing.** Send the user to the skill that does the next piece of work (see below).

Be skeptical but useful. Always separate "can be built" from "should be built". Do not flatter the idea or default to encouragement; do not say "this has potential" unless the path is specific.

## Verdict routing

| Verdict | Routes to |
|---|---|
| Build small | `define-problem-statement`, then `deliver-prd` / `deliver-user-stories` |
| Validate first | `define-hypothesis`, then `measure-experiment-design` |
| Pivot first | `foundation-lean-canvas` (re-frame the model) |
| Don't build yet | stop; or `discover-competitive-analysis` / `discover-market-sizing` for an evidence check |
| Several competing requests | `define-prioritization-framework` |

Full map, including the per-risk routing: `references/routing-map.md`.

**If a routed skill is not available, do not ship a bare pointer.** The library is often installed
in part rather than whole, so the skill you route to may not exist in the user's environment. When
you cannot confirm it is available, say so plainly and inline the minimal version of its output so
the review stays executable:

| Routed skill absent | Inline instead |
|---|---|
| `define-hypothesis` | One testable hypothesis in believe / for / will / as-measured-by form |
| `measure-experiment-design` | A three-line experiment sketch: the one decision metric, the sample or duration needed, and the win/lose rule set before running |
| `define-problem-statement` | A two-sentence problem frame: who, in what situation, blocked by what |
| `foundation-lean-canvas` | The three riskiest boxes only: problem, customer segment, unfair advantage |
| `define-prioritization-framework` | A single ranked list with the one criterion that actually decides |
| `discover-competitive-analysis` | The two closest alternatives and the one axis on which you would lo
chainSlash Command

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

define-hypothesisSkill

Defines a testable hypothesis with clear success metrics and a validation approach. Use when forming assumptions to test or aligning a team on what success looks like, before any experiment is designed. To design the A/B test or experiment that will validate the hypothesis, use measure-experiment-design.

define-jtbd-canvasSkill

Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.

define-opportunity-treeSkill

Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes. For ranking an existing flat list of candidates, use define-prioritization-framework instead; this skill discovers the list, it does not score one.

define-prioritization-frameworkSkill

Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research. Refuses to fabricate scores; produces an estimation scaffold when input data is missing.

define-problem-statementSkill

Creates a clear problem framing document with user impact, business context, and success criteria. Use when starting a new initiative, realigning a drifted project, or communicating up to leadership.

deliver-acceptance-criteriaSkill

Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form. Use when turning requirements into verifiable scenarios for engineering handoff and QA sign-off. For a dedicated catalog of boundary conditions, error states, and recovery paths across a feature, use deliver-edge-cases; to write the stories themselves, use deliver-user-stories.

deliver-edge-casesSkill

Documents edge cases, error states, boundary conditions, race conditions, and recovery paths for a feature - the systematic catalog of what can go wrong and the failure modes to design for. Use during specification to map the failure surface and ensure comprehensive coverage, or during QA planning to identify boundary and limit scenarios to test. Distinct from deliver-acceptance-criteria, which writes story-level Given/When/Then checks; this skill produces the whole-feature edge-case catalog.