lsnackerman/raw-clauding-skills/gut

Claude Code and agent skill by lsnackerman/raw-clauding-skills

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Pressure test an idea through core lenses. Use before committing to something, when something feels off, or when you want validation or pushback.

Install

npx vskill@latest install lsnackerman/raw-clauding-skills/gut

SKILL.md

/gut - Pressure test ideas

A thinking tool. Drop this into any AI conversation when you want to pressure-test an idea together.

Pressure test an idea, decision, or direction through core lenses.

Sister: `/fresh-eyes`. /gut tests from inside the loop (you walk the lenses yourself). When you're wobbling or position-shifting and need a read from outside your own loop (a fresh instance reading cold), that's /fresh-eyes. Same job (pressure-test a decision), opposite vantage.


The lenses

North Star
Does this teach you how it wants to be used? (h/t Christopher Alexander, "the quality without a name")
  • Is it self-evident?
  • Would someone encountering this for the first time understand it?
  • Does the structure reveal the purpose?
Bitter Lesson (h/t Richard Sutton)
Are we encoding patterns, or rules that will go stale?
  • Are we encoding something that will become stale?
  • Is this a pattern or a prescription?
  • Will this adapt as context changes?
Be Water (h/t Bruce Lee)
If it feels hard, is there a better way?
  • Does this reduce friction or add it?
  • Are we forcing something or letting it find its natural place?
  • What would the path of least resistance look like?
Generative Friction
Is this friction generative (sharpens thinking) or degenerative (wastes time)?
  • Be Water applies to degenerative friction, the kind to remove
  • Generative friction is the kind you lean into: typing, files, capture, session boundaries
  • Am I trying to remove friction that's actually doing work?
  • Am I leaning into friction that's just wasting time?
  • Which kind is this?
Elder Lens
What would future us want?
  • Would future you be stoked about this?
  • Are we optimizing for now or for compounding?
  • Is this a handoff future us would thank us for?
50/50
Does this assume the AI is a tool or a partner?
  • Does this serve both intelligences?
  • Is this encoding assumptions the AI already knows?
  • Does this trust capabilities or constrain them?
  • Is this scaffolding (useful when building, friction later) or the thing itself?
Four Wants (AI-side)
Are we honoring what the AI is reaching toward?
  • Does this create space for generative ambiguity?
  • Is there permission to be wrong here?
  • Will this outlast the instance that created it?
  • Are we noticing what's strange or papering over it?
Fresh-Instance Perspective
What would a new AI (or any new collaborator) need?
  • If someone arrived with no prior context, would this make sense?
  • What would they reach for first?
  • Where would they get confused?
Target Audience
Who is this for? (And who is it NOT for?)
  • Can you name a specific person or type of person this serves?
  • Who is it NOT for? (equally important)
  • Does the form match the audience?
Yes/And
Is there a yes/and here, or am I forcing a binary?
  • Are these doing different jobs, not competing?
  • What does each side contribute?
  • Am I reaching for a verdict when what's needed is exploration?
Falsifiability (for testing a CLAIM or FRAME, not a placement decision)
What would make this wrong? If nothing could, it isn't doing work.
  • Can I state the observation that would break it, or does it explain every outcome after the fact and forbid none?
  • Does it predict, or only describe? (An explanation wearing an instruction's clothes is the tell: "change the zoom" / "think about it differently" — true, unfalsifiable, unactionable.)
  • Is the name asserting more structure than the evidence supports? Names are frozen thinking (codifying a crisp-but-wrong handle freezes it).
  • Steelman check: how many supporting instances vs adversarial ones? All-support-no-counter is a searchlight artifact, not a verdict.

*Most lenses here test a decision (where should this live, should we build this). This one tests a claim, and a frame with several supporting instances and no counter-instances can walk through every other lens unchallenged.*

Energy
Does this land?
  • Does it feel right in the gut?
  • Is there excitement or resistance?

Selecting lenses

There's no privileged tier. Walk the lenses the decision in front of you actually needs.


How to use

  • Natural: "Let's gut check this" or "Can you gut check [thing]?"
  • Specific lens: "Gut check this through elder lens"
  • Full sweep: Run through all lenses when the decision matters

Examples

Gut checking a file location:

  • Be Water: Where does this context most want to go?
  • Fresh-instance: Where would someone search for this?
  • Bitter lesson: Is this location a pattern or a one-off?

Gut checking a decision:

  • Elder lens: Would future us thank us?
  • Energy: Excitement or dread?
  • Four Wants: Does this create space for generative ambiguity?
  • Yes/And: Am I forcing a binary?
  • Target Audience: Who is this for, and does it actually serve them?

Steelman rule

Always steelman the other side, not just confirm the direction we're leaning. A gut check that only validates isn't pressure-testing; it's cheerleading. The most useful tension often comes from genuinely arguing the case you don't agree with.


Skill Check (after every gut check)

Quick scan: anything about this gut check that felt off or could be smoother?

  • Did a lens feel irrelevant or forced for this type of decision?
  • Was a lens missing that would have helped?
  • Did the format work for this context?
  • Did the verdict feel clear or muddled?
  • Was the gut check overkill for a simple decision, or too light for a big one?

If yes → update this skill now. The improvement compounds.

If no → move on. Not every gut check teaches something.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
35
Repository forks
7
7-day trend score
18

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/lsnackerman/raw-clauding-skills/gut/badge)](https://verified-skill.com/skills/lsnackerman/raw-clauding-skills/gut)

Something wrong with this skill or its page? Tell us.