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Signal identification

Skill itseffi/agentic-os/.agents/skills/signal-identification

Design efficient early signals to validate assumptions. Find the fastest way to learn if you're right.From its SKILL.md

Install
npx -y skills add itseffi/agentic-os --skill signal-identification

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SKILL.md

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Signal Identification

Design efficient early signals to validate product assumptions.

When to Use

When you have a prioritized assumption and need the fastest way to validate it.

The Quality Bar

A good signal is:

  • Early: Obtainable at idea/prototype stage
  • Cheap: Minimal cash/time
  • Attributable: Directly reduces uncertainty
  • Decisive: Has clear success/failure threshold
  • Suitable: Appropriate for your context

Method Selection by Context

ContextGood MethodsAvoid
Enterprise B2BDesign partner LOIs, security questionnaires, ROI calculators, reference checksSmoke tests, consumer ad funnels
SMB SaaSDiscovery calls, lightweight trials, email tests, usage analytics-
ConsumerAd-driven intent, waitlist conversion, community polls, preorders-
RegulatedStandards mapping, SME review, regulatory preflightCollecting sensitive data
FeasibilityEngineering spikes, benchmarks, vendor evalsUser-facing experiments

The Process

1. Classify the Assumption

What lens? Desirability, Feasibility, Viability, or Usability?

2. Brainstorm Signals (5+)

For each, note:

  • What would constitute positive evidence?
  • How to obtain quickly?
  • Why suitable for this context?

3. Select Best Signal

Document:

  • Signal description
  • Method (step-by-step)
  • Participants/sample needed
  • Timebox and cost
  • Success threshold (quantified)
  • Data captured
  • Risks and mitigations
  • What to do next if positive

Output

  • Brainstorm list (5+ signals)
  • Selected signal with full details
  • Summary explaining choice

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

What ships with it: 1 file

187 B alongside SKILL.md

agents/

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