AI Agent Skill HUB

assumption-buster

Flip, remove, or exaggerate assumptions to unlock new solution angles.

13 stars
byNickCrew
View on GitHubInstallation ↓

Best use case

assumption-buster is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Flip, remove, or exaggerate assumptions to unlock new solution angles.

Teams using assumption-buster should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/assumption_buster/SKILL.md --create-dirs "https://raw.githubusercontent.com/NickCrew/Claude-Cortex/main/skills/collaboration/assumption_buster/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/assumption_buster/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How assumption-buster Compares

Feature / Agentassumption-busterStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Flip, remove, or exaggerate assumptions to unlock new solution angles.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# `/collaboration:assumption-buster`

Use when the team feels boxed in or every idea sounds the same.

## Inputs
- Topic or problem statement
- Known assumptions/constraints (even if informal)
- Optional mode flag: `--opposite`, `--zero`, or `--10x`

## Steps
1. List core assumptions (facts, beliefs, constraints).
2. Transform each via chosen operator (opposite/zero/10x).
3. Generate 1–2 reframed ideas per transformed assumption.
4. Capture evidence to collect and a fast test for each idea.
5. Pick the most promising 2–3 and move to `/ctx:plan` or Tasks.

## Output Template
```
### Assumptions
### Transforms (opposite/zero/10x)
### Reframed Ideas
- Idea … (evidence, fast test)
### Top Picks
```

## Pairings
- Run before `/collaboration:idea-lab` if you need to loosen constraints.
- Feed winners into `/collaboration:concept-forge` to score/prioritize.

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