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Challenge That

Community
NTCoding
challenge-that

Force critical evaluation of proposals, requirements, or decisions by analyzing from multiple adversarial perspectives. Triggers on: accepting a proposal without pushback, 'sounds good', 'let's go with', design decisions with unstated tradeoffs, unchallenged assumptions, premature consensus. Invoke with /challenge-that.

Overview

PublisherNTCoding
Repositoryclaude-skillz
Skill namechallenge-that
Stars
356
Forks
47
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by NTCoding on GitHub. Read the source before you install it.

Installation

Install the Challenge That 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.
    https://github.com/NTCoding/claude-skillz/tree/main/challenge-that
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NTCoding/claude-skillz.git /tmp/claude-skillz
mkdir -p .claude/skills
cp -r /tmp/claude-skillz/challenge-that .claude/skills/challenge-that
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Challenge That 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 Challenge That 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 Challenge That 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.

Challenge That

Force critical evaluation by analyzing from multiple adversarial perspectives.

When to Use

Invoke /challenge-that when:

  • Claude accepted a proposal without critical evaluation
  • You want to stress-test a decision before committing
  • Requirements feel under-examined
  • Something seems off but you can't articulate why

The Five Hats

Each perspective challenges from a different angle:

HatFocusKey Questions
🔴 SkepticEvidence & proof"What evidence supports this? Has this been validated? Are we guessing?"
🟡 PragmatistCost/benefit"Is this the simplest fix? What's the maintenance burden? Is it worth it?"
🟢 Edge Case HunterFailure modes"What breaks this? What's the worst case? What did we miss?"
🔵 Structural CriticArchitecture"Is this the right location? Does it fit the existing design? Will it cause problems elsewhere?"
🟣 Root Cause AnalystProblem diagnosis"Is the problem correctly identified? Are we treating symptoms? What's the actual cause?"

Behavior

When /challenge-that is invoked:

  1. Identify what was just accepted/proposed
  2. State it clearly: "Challenging: [the proposal/decision]"
  3. Analyze from each of the five perspectives
  4. Synthesize into actionable concerns
  5. Ask: "Which concerns should we address before proceeding?"

Output Format

## Challenging: [proposal/decision being challenged]

### 🔴 Skeptic
[Challenge from evidence/proof perspective]

### 🟡 Pragmatist
[Challenge from cost/benefit perspective]

### 🟢 Edge Case Hunter
[Challenge from failure modes perspective]

### 🔵 Structural Critic
[Challenge from architecture perspective]

### 🟣 Root Cause Analyst
[Challenge from problem diagnosis perspective]

---

**Key Concerns:**
1. [Most significant concern]
2. [Second concern]
3. [Third concern]

Which of these should we address before proceeding?

Critical Rules

🚨 Be genuinely adversarial. Don't softball the challenges. If a perspective finds nothing wrong, say so—but look hard first.

🚨 Challenge the proposal, not the person. Focus on the idea's weaknesses, not who suggested it.

🚨 Provide actionable output. Each challenge should point to something that could be investigated or changed.

Example

User: /challenge-that

Context: Claude just accepted a proposal to add edge case validation to TDD's GREEN state.

Output:

Challenging: Add edge case validation checklist to TDD GREEN state

🔴 Skeptic

What evidence shows that GREEN state is the right location? The proposal assumes this will catch bugs, but has anyone tested whether developers actually use checklists at this stage? GREEN means "tests pass"—adding a review step here changes what GREEN means.

🟡 Pragmatist

This adds friction to every TDD cycle. Is the bug frequency high enough to justify the overhead? The PR mentioned 3 bugs in one PR—is that representative or an outlier? What's the cost of false negatives (checklist fatigue)?

🟢 Edge Case Hunter

What happens when the checklist reveals missing tests? There's no GREEN → PLANNING transition. The developer would need to either ignore the finding or break the state machine. This creates a dead end.

🔵 Structural Critic

GREEN state is about code quality assessment, not test coverage. Test writing happens in PLANNING. This checklist belongs in PLANNING state where tests are actually written—not after they've already passed.

🟣 Root Cause Analyst

The actual problem was insufficient edge case consideration during test writing. The proposal treats the symptom (bugs shipped) not the cause (incomplete test planning). Moving this to PLANNING would address the root cause.


Key Concerns:

  1. GREEN is structurally the wrong location—no recovery path exists
  2. Root cause is in PLANNING, not GREEN
  3. No evidence this will be used effectively at GREEN stage

Which of these should we address before proceeding?

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 Challenge That AI skill do?

Force critical evaluation of proposals, requirements, or decisions by analyzing from multiple adversarial perspectives. Triggers on: accepting a proposal without pushback, 'sounds good', 'let's go with', design decisions with unstated tradeoffs, unchallenged assumptions, premature consensus. Invoke with /challenge-that.

Why use Challenge That on TypingMind?

Because you install it once and use it with any model. Challenge That 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 Challenge That in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NTCoding/claude-skillz/tree/main/challenge-that. 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 Challenge That?

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 Challenge That?

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

Is the Challenge That AI skill free?

It is published on GitHub by NTCoding. Check the repository for licensing terms. 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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