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ambiguity-resolver

Esta skill estrutura oportunidades vagas e resumos pouco claros em declarações de problema acionáveis de uma página. É utilizada para esclarecer briefs vagos, enquadrar problemas indefinidos ou dar sentido a oportunidades incertas, entregando um resumo de problema estruturado com perguntas reformuladas, limites definidos e um mínimo viável.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Ambiguity Resolver Skill

Turn vague briefs and half-formed opportunities into structured, actionable problem statements — so you can reply with clarity instead of asking for three more meetings.

Required Inputs

Ask the user for these if not provided:

  • The vague brief or opportunity description (even a single sentence is enough)
  • Who asked for this (stakeholder context shapes the framing)
  • Known constraints (timeline, budget, team size — if any are known)

Three-Stage Process

Stage 1: Reframe

  • Restate the vague input as 3-5 explicit questions that need answering
  • Identify the unstated assumptions hidden in the brief
  • Surface the real decision this feeds into (what will someone do differently once this is resolved?)

Stage 2: Scope

  • Define what is explicitly IN scope
  • Define what is explicitly OUT of scope (equally important)
  • Identify the deadline pressure: is this urgent/important, important/not urgent, or unclear?
  • Name who owns the final decision and who needs to be consulted

Stage 3: Action

  • Define the minimum viable research: 2-3 activities maximum that would give enough signal to move forward with confidence
  • Time estimate for each activity
  • What each activity would tell you (and what it wouldn't)
  • Proposed check-in point: when to regroup before committing to more

Validate — Confirm every reframed question maps to at least one research activity. Verify scope boundaries are specific enough to say "no" to something concrete.

Output Structure

Problem Brief: [Opportunity Area]

Restated as questions:

  1. [Question 1]
  2. [Question 2]
  3. [Question 3]

Unstated assumptions we should surface:

  • [Assumption 1]
  • [Assumption 2]

In scope: [Clear boundary] Out of scope: [Clear boundary] Decision owner: [Name/role] Timeline: [Real deadline if known, or "unclear — recommend setting one"]

Minimum viable research: | Activity | Time required | What it tells us | What it won't tell us | |----------|--------------|------------------|-----------------------| | [activity] | [time] | [insight] | [limitation] |

Proposed check-in: After [activity], regroup to decide whether to proceed or pivot.

Example (Partial)

Input: "We need to figure out what to do about our enterprise customers."

Restated as questions:

  1. Are enterprise customers churning, underperforming on expansion, or both?
  2. Is this a product gap, a support/service gap, or a pricing/packaging issue?
  3. What does "do something" look like — a new initiative, a policy change, or a resource shift?

In scope: Enterprise accounts ($50K+ ARR) showing declining health scores in the last two quarters Out of scope: SMB segment, new enterprise acquisition strategy

Quality Checks

  • [ ] Every reframed question is specific enough to research (not "how do we improve things?")
  • [ ] Scope boundaries name something concrete that is excluded
  • [ ] Research activities are achievable within the stated timeline
  • [ ] Decision owner is identified (not "leadership" — a specific person or role)
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