claudecodex

dlab

Ten evidence-aware discovery motions with a human decision at every gate. Each skill labels what is actual data, inferred, estimated or unknown, and stops before anything gets built.

2 on GitHubby Dean Petersv0.1.8CC-BY-NC-SA-4.0updated 1 month agoproductivity
/

Plugin dlab from marketplace ai-augmented-discovery-lab in deanpeters/AI-Augmented-Product-Discovery-Lab. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (10)

  • dlab-step01-market-intel

    Use for “what is changing in this market?” Turn a scope and partial notes or sources into a Market Intelligence Brief to choose where to investigate; no demand proof.

  • dlab-step02-segment

    Use for “how big could this be?” Turn a possible segment and notes into a Segment Selection Brief with TAM/SAM/SOM populations and potential dollars; estimates are not sales forecasts.

  • dlab-step03-persona

    Use for “who has this problem?” Turn a role, situation and notes into a Situational Persona with jobs, pains, gains and problem framing; synthetic people are not customer evidence.

  • dlab-step04-opportunity-solution-tree

    Use to explore a solution request. Turn a person, outcome and partial notes into an Opportunity Solution Tree of needs, options and tests; explore branches before selecting a winner.

  • dlab-step05-value-prop-differentiation

    Use for “why would customers choose and pay?” Turn ideas, alternatives and notes into a Value Prop vs. Differentiation 2x2; compare customer payoff without claiming proven savings or a moat.

  • dlab-step06-positioning-statement

    Use to explain why a concept is worth choosing. Turn customer, need, concept and alternative notes into a Positioning Statement to test; a promise is not purchase evidence.

  • dlab-step07-solution-hypothesis

    Use for “what must be true?” Turn an idea and partial context into a Solution Hypothesis with small tests and a decision rule; a plan is not validation.

  • dlab-step08-storyboard

    Use to show a person solving a problem. Turn story notes or a hypothesis into a six-frame Storyboard to critique or test; a fictional happy ending is not observed success.

  • dlab-step09-minimum-viable-narrative

    Use for “turn this story into a builder prompt.” Turn notes into a Minimum Viable Narrative with 3–6 internal action–response pairs; describe a test, not production requirements.

  • dlab-step10-prototyping

    Use for “how could we find out this is wrong?” Turn an assumption and constraints into a Prototype Experiment Brief for the smallest brutal-truth test; no automatic build or invented results.

View source on GitHub

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