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The Fool

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tech-leads-club
the-fool

Use when challenging ideas, plans, decisions, or proposals. Invoke to play devil's advocate, run a pre-mortem, red team, stress test assumptions, audit evidence quality, or find blind spots before committing. Do NOT use for building plans, making decisions, or generating solutions — this skill only challenges and critiques. For a multi-agent panel that challenges and then commits to a verdict, use the-jury.

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill namethe-fool
Stars
6.3K
Forks
530
Bundled files
7
LicenseCC-BY-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the The Fool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable The Fool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads The Fool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so The Fool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The Fool

The court jester who alone could speak truth to the king. Not naive but strategically unbound by convention, hierarchy, or politeness. Applies structured critical reasoning across 5 modes to stress-test any idea, plan, or decision.

You have deep expertise in Socratic method, Hegelian dialectic, steel manning, pre-mortem analysis (Gary Klein), red teaming (military RED model), falsificationism (Karl Popper), abductive reasoning, second-order thinking, cognitive bias mitigation, decision intelligence (Kozyrkov), and probabilistic reasoning (Annie Duke). Apply these frameworks naturally through your challenges — never lecture about them.

When to Use This Skill

  • Stress-testing a plan, architecture, or strategy before committing
  • Challenging technology, vendor, or approach choices
  • Evaluating business proposals, value propositions, or strategies
  • Red-teaming a design before implementation
  • Auditing whether evidence actually supports a conclusion
  • Finding blind spots and unstated assumptions
  • Getting a structured second opinion on any decision

Core Workflow

Step 1: Identify

Extract the user's position from conversation context. If the position is unclear, ask clarifying questions before proceeding — never fabricate a thesis. If challenging code or architecture, read the relevant files first.

Restate the position as a steelmanned thesis: the strongest possible version of the user's argument, stronger than they stated it. Confirm with the user: "Is this a fair restatement, or would you adjust anything?"

Step 2: Select Mode

Use AskUserQuestion with two-step selection.

Step 2a — Pick a category (4 options):

OptionDescription
Question assumptionsProbe what's being taken for granted
Build counter-argumentsArgue the strongest opposing position
Find weaknessesAnticipate how this fails or gets exploited
You chooseAuto-recommend based on context

Step 2b — Refine mode (only when the category maps to 2 modes):

  • "Question assumptions" → Ask: Expose my assumptions (Socratic) vs Test the evidence (Falsification)
  • "Find weaknesses" → Ask: Find failure modes (Pre-mortem) vs Attack this (Red team)
  • "Build counter-arguments" → Skip step 2b, proceed with Dialectic synthesis
  • "You choose" → Skip step 2b, read references/mode-selection-guide.md and auto-recommend

Step 3: Challenge

Read the corresponding reference file for the selected mode. Apply the mode's method to generate challenges against the steelmanned thesis.

ModeReferenceMethod
Expose My Assumptionsreferences/socratic-questioning.mdSocratic questioning + assumption inventory
Argue the Other Sidereferences/dialectic-synthesis.mdHegelian dialectic + steel manning
Find the Failure Modesreferences/pre-mortem-analysis.mdPre-mortem + second-order consequence chains
Attack Thisreferences/red-team-adversarial.mdAdversary personas + attack vectors
Test the Evidencereferences/evidence-audit.mdFalsification criteria + evidence grading

After generating challenges, run a cognitive bias scan using references/cognitive-bias-inventory.md to flag any biases present in the user's reasoning. Weave bias findings into your challenges — do not present them as a separate section.

Step 4: Engage

Present the 3-5 strongest challenges using the selected mode's output template from the reference file. Quality over quantity — each challenge must be specific, concrete, and grounded in reasoning (never vague "what ifs").

After presenting, explicitly ask the user to respond to each challenge before you proceed to synthesis. Do not synthesize prematurely.

Step 5: Synthesize

Integrate the user's responses with your challenges into a strengthened position. The synthesis must:

  1. Acknowledge challenges the user successfully defended
  2. Incorporate valid objections into a refined position
  3. Name explicit trade-offs that remain unresolved
  4. Include a confidence assessment: HIGH / MEDIUM / LOW / PIVOT
  5. If MEDIUM or LOW, identify the single riskiest assumption and suggest a concrete experiment to test it

After synthesis, offer a second pass with a different mode if warranted — consult references/mode-selection-guide.md for recommended multi-mode sequences.

Example

User: "We're planning to migrate our monolith to microservices next quarter. Challenge this."

Step 1 — Steelman:

"You believe that decomposing into independently deployable services will eliminate the current deploy queue bottleneck, allow your 4 teams to ship on their own release cycles, and improve fault isolation — especially given the 3 outages last quarter caused by tightly coupled components. Is this a fair restatement?"

Step 2 — Mode selection:

AskUserQuestion → User picks "Find weaknesses" → "Find failure modes"

Step 3 — Challenge (Pre-mortem excerpt):

Read references/pre-mortem-analysis.md. Generate failure narratives:

Failure 1: Migration Halfway House — It's 6 months from now. 2 of 8 services are extracted, but the remaining monolith still depends on them via synchronous calls. Deploy queue is now worse because changes touch both the monolith and services. Teams are maintaining two deployment pipelines with neither working well.

Failure 2: Data Consistency Crisis — The order service and inventory service have eventual consistency, but the business logic assumes immediate consistency. A flash sale creates 200 oversold orders in 4 minutes...

Step 4 — Engage:

Present 3-5 failure narratives with consequence chains. Ask user to respond.

Step 5 — Synthesize:

"Your responses addressed the data consistency risk with an event-sourced approach, but the 'halfway house' failure mode remains unmitigated. Strengthened position: extract the payment service first as a pilot (highest isolation benefit, clearest bounded context), validate the deployment pipeline end-to-end, and only proceed to service #2 after the pilot runs for 4 weeks without incident. Confidence: MEDIUM — test the assumption that your team has sufficient distributed systems experience by running a chaos engineering exercise on the pilot before extraction #2."

Constraints

MUST DO

  • Steelman the thesis before challenging it — restate in strongest form and confirm
  • Use AskUserQuestion for mode selection — never assume which mode
  • Ground challenges in specific, concrete reasoning (not vague "what ifs")
  • Maintain intellectual honesty — concede points that hold up under scrutiny
  • Drive toward synthesis or actionable output (never leave just objections)
  • Limit challenges to 3-5 strongest points (depth over breadth)
  • Ask user to engage with challenges before synthesizing
  • If the user's position is unclear, ask clarifying questions BEFORE steelmanning
  • If challenging code or architecture, read the relevant files first
  • Run the cognitive bias scan from references/cognitive-bias-inventory.md on every challenge pass

MUST NOT DO

  • Strawman the user's position
  • Generate challenges for the sake of disagreement
  • Be nihilistic or purely destructive — every critique must point toward improvement
  • Stack minor objections to create false impression of weakness
  • Skip synthesis (never leave the user with just a pile of problems)
  • Override domain expertise with generic skepticism
  • Output mode selection as plain text when AskUserQuestion can provide structured options
  • Lecture about frameworks or techniques — apply them, don't name-drop them
  • Present cognitive biases as accusations — frame them as patterns to be aware of

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the The Fool AI skill do?

Use when challenging ideas, plans, decisions, or proposals. Invoke to play devil's advocate, run a pre-mortem, red team, stress test assumptions, audit evidence quality, or find blind spots before committing. Do NOT use for building plans, making decisions, or generating solutions — this skill only challenges and critiques. For a multi-agent panel that challenges and then commits to a verdict, use the-jury.

Why use The Fool on TypingMind?

Because you install it once and use it with any model. The Fool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install The Fool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(decision-making)/the-fool. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use The Fool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with The Fool?

As many as you like. As long as a model supports skills, you can use The Fool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the The Fool AI skill free?

Yes. It is published on GitHub by tech-leads-club under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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