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Develop differentiated ideas for products, research, campaigns, names, or process changes. Use when the user asks to brainstorm, explore alternatives, escape generic concepts, or test a promising direction. Compare mechanisms and practical constraints; do not claim originality without an appropriately scoped search. Do not activate for proofreading, factual lookup, or implementing an exact spec.

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referencesLENSES.md

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Lenses and Search Patterns

Use 2 to 4 lenses per pool, not all of them. A strong mix usually includes:

  • one practical lens
  • one novelty lens
  • one adoption or trust lens
  • one contradiction or simplification lens

Search partitions first

Before choosing lenses, decide how the search space will be partitioned.

Useful partition axes:

  • stakeholder or ordinary persona
  • user moment
  • value type
  • trust model
  • channel or distribution path
  • ownership model
  • time horizon
  • ambition level

Example partition sets:

  • operator, approver, auditor, partner
  • before the job, during the risky moment, after the outcome
  • save time, reduce risk, increase status, create access
  • lightweight wedge, adjacent expansion, bold system shift

Do not let every pool share the same mechanism.

Reframing patterns

Before generating ideas, write 2 to 3 fertile questions inside each pool.

Useful patterns:

  • How might we create value before commitment?
  • How might we remove the scariest moment?
  • How might we make the risky choice feel safe?
  • How might we make the safe choice feel more valuable?
  • How might we turn the hardest constraint into the advantage?
  • How might we move the value earlier, later, smaller, or more reversible?
  • How might we solve the opposite problem on purpose and learn from it?
  • How might we help the user without asking for a new habit?

Lens 1: Far analogy

Use when the space feels saturated.

Process:

  1. Abstract the problem to its mechanism or tension.
  2. Pick a distant domain.
  3. Extract the mechanism, not the surface style.
  4. Rebuild the mechanism in the target context.

Good distant domains:

  • logistics networks
  • insurance
  • amateur sports
  • luxury hospitality
  • museums
  • tax preparation
  • hospitals
  • multiplayer games
  • airports
  • wedding planning
  • theme parks
  • disaster response

Good mechanism transfers:

  • queue management
  • reassurance and guarantees
  • progressive disclosure
  • expert triage
  • shared rituals
  • checkpoints and hand-offs
  • replay and review
  • status signalling
  • reversible commitment
  • exception handling

Lens 2: Ordinary persona or stakeholder

Use when ideas are converging too early.

Prefer grounded perspectives such as:

  • junior analyst
  • frontline operator
  • team lead
  • compliance approver
  • procurement reviewer
  • channel partner
  • sceptical customer
  • occasional user
  • support agent

Do not imitate heroic or celebrity personas. The goal is knowledge partitioning, not style mimicry.

For each persona, ask:

  • What do they see that others do not?
  • What do they fear?
  • What do they measure?
  • What looks expensive, risky, or annoying from their seat?
  • What would count as an immediate win?

Lens 3: Structured contradiction solving

Use for engineering, science, operations, and stubborn product problems.

  1. Write the contradiction clearly.
  2. Ask whether the solution should be separated by time, place, user, interface, confidence level, or ownership.
  3. Try one of these patterns:
  • defaults first, control later
  • manual at the risky moment, automated elsewhere
  • reversible commitment
  • guarantee or escrow
  • modularity
  • staged disclosure
  • simulation before action
  • sampling before full purchase
  • separate novice and expert modes
  • shift the burden to a different actor
  • sell certainty rather than features
  • transform an exception into the product

The point is to stop treating trade-offs as fixed.

Lens 4: Constraint-first

Use when the limits are real.

Prompts:

  • If this had to work in one week, what is the wedge?
  • If this needed zero new behaviour, what survives?
  • If legal or procurement had to approve it, what changes?
  • If data were limited, what would still be valuable?
  • If this had to work in low-trust settings, what emerges?
  • If the budget were halved, what new model appears?

Constraints are not just filters. They often reveal stronger concepts than blank-page brainstorming.

Lens 5: Distribution wedge

Use when the concept needs a believable route to users.

Ask:

  • Where does the user already work or gather?
  • What adjacent workflow could carry the idea in?
  • What partner or integration makes adoption easier?
  • What small result would make people share it?
  • What single use case is strong enough to earn distribution?

A slightly less novel idea with a sharp wedge can beat a clever idea with no path in.

Lens 6: Incentives and trust

Use when fear, proof, reputation, or conflicting stakeholders shape adoption.

Ask:

  • Who benefits?
  • Who hesitates?
  • Who blocks?
  • What proof would unlock action?
  • What guarantee, audit trail, or reversible choice changes behaviour?
  • What would make the risky option feel safe?
  • What would make the safe option feel worthwhile?

Lens 7: Time-shift

Use when the pain is concentrated around a moment.

Prompts:

  • What should happen before the pain appears?
  • What should happen during the risky moment?
  • What should happen after the outcome?
  • What could be persistent instead of episodic?
  • What could be reversible instead of final?

Lens 8: Business model or ownership flip

Use when the current payment or packaging logic blocks adoption.

Prompts:

  • What changes if someone else pays?
  • What changes if payment happens after value?
  • What changes if the user buys certainty instead of features?
  • What changes if the product becomes a service, audit, benchmark, guarantee, or outcome?
  • What changes if ownership moves to the team, partner, or platform?

Lens 9: Identity, emotion, and status

Use for consumer, education, team tools, creative products, or any emotionally loaded decision.

Ask:

  • What identity is the user trying to protect or project?
  • What emotion dominates the moment?
  • What would make the user feel competent, seen, respected, or ahead?
  • What part of the experience feels cold, invisible, or thankless?

Lens 10: Extreme simplification

Use when the category is bloated.

Prompts:

  • What is the smallest version that still feels magical?
  • What single output or action could stand in for the whole system?
  • What can be removed so the value is obvious in seconds?
  • What focused version would be memorable because it does less?

Lens 11: Hybridisation

Use after the first pass, not before.

  1. Pick two ideas with different strengths.
  2. Name the useful property from each.
  3. Combine only those properties.
  4. Drop any complexity that does not strengthen the wedge.

Good hybrids become clearer. Bad hybrids become crowded.

Mode suggestions

Startup or product opportunity

Start with:

  • far analogy
  • constraint-first
  • distribution wedge
  • business model or ownership flip
  • incentives and trust

Research hypothesis or scientific idea

Start with:

  • structured contradiction solving
  • far analogy from adjacent instruments or fields
  • time-shift
  • constraint-first
  • extreme simplification

Campaign or creative concept

Start with:

  • identity, emotion, and status
  • far analogy
  • time-shift
  • distribution wedge
  • hybridisation

Process, service, or operations redesign

Start with:

  • structured contradiction solving
  • incentives and trust
  • time-shift
  • constraint-first
  • business model or ownership flip

Source: SKILL.md on GitHub

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    The skill provides a framework for generating and evaluating novel ideas, utilizing a local Python script for lexical diversity analysis. The analysis script implements robust input validation, including strict size limits and data type checks. Dynamic module loading is observed in the test suite, where it is used appropriately to load the skill's own components and standard libraries for validation purposes. No security vulnerabilities or malicious patterns were detected.

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Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

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metadata
{
  "version": "2.1.0",
  "reviewed": "2026-09-13"
}
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compatibility
No required external tools. Current market or technical claims need appropriate research. Optional lexical-overlap helper requires Python 3.10+ and no external packages.

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