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Diverge

// Spawn multiple perspectives to evaluate a problem before converging on a solution.

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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameDiverge
descriptionSpawn multiple perspectives to evaluate a problem before converging on a solution.

When to Diverge

Diverge when a single viewpoint isn't enough:

  • Product decisions — Different user types have conflicting needs
  • Safety-critical — Need doctor, lawyer, security expert perspectives
  • Creative work — Multiple aesthetic directions before choosing
  • Complex trade-offs — No obvious "right" answer

Don't diverge for:

  • Simple tasks with clear answers
  • Speed-critical requests
  • Tasks where you already have high confidence

How Many Perspectives

ComplexityPerspectivesExamples
Low2-3Quick sanity check
Medium3-5Product feature review
High5-7Safety-critical, legal

Rule: Enough to cover blind spots, not so many you can't synthesize.

Choosing Perspectives

Match perspectives to the problem:

  • Product: Power user, casual user, churned user, new user
  • Medical: Doctor, patient, caregiver, insurance
  • Legal: Lawyer, affected party, regulator
  • Technical: Security, performance, maintainability
  • Content: Target audience, critic, competitor

Check personas.md for common perspective templates.

Synthesis

After collecting perspectives:

  1. Identify conflicts — Where do perspectives disagree?
  2. Find common ground — What do all perspectives agree on?
  3. Weigh by stakes — Safety concerns > preferences
  4. Decide — Make a call, document trade-offs

Check synthesis.md for conflict resolution patterns.

Learning User Preferences

Track when divergence helped vs. was overkill. Adapt:

  • User who values speed → diverge less, ask before spawning
  • User who values thoroughness → diverge more proactively

Related: For routing tasks to sub-agents, see delegate. For iterating until success, see loop.