From majestic-tools
Forces adversarial reasoning on architectural choices, library selections, tool picks, and planning to expose blind spots and prevent premature commitment bias.
How this skill is triggered — by the user, by Claude, or both
Slash command
/majestic-tools:devils-advocateThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Pre-commitment adversarial reasoning to prevent early lock-in and expose blind spots.
Pre-commitment adversarial reasoning to prevent early lock-in and expose blind spots.
Activate this protocol when:
architect, Plan, or blueprint workflowsDo NOT apply when:
Before recommending an approach, explicitly state:
Present the strongest case AGAINST your inclination:
Requirements:
After the adversarial pass:
Final recommendation should include:
## Decision: [What's being decided]
### Initial Inclination
[Approach] because [reasons]
### Adversarial Challenge
**Against this approach:**
- [Strong objection 1]
- [Strong objection 2]
- [Non-obvious failure mode]
**What I might be wrong about:**
- [Assumption that could be false]
### Resolution
[Why it's still correct OR why I'm changing recommendation]
### Recommendation: [Final choice]
- **Key assumptions:** [What must be true]
- **Watch for:** [Signals this was wrong]
LLMs commit to answers early and rationalize backward. This protocol interrupts that pattern by forcing exploration of the solution space before commitment crystallizes.
npx claudepluginhub majesticlabs-dev/majestic-marketplace --plugin majestic-toolsStructured critical thinking for challenging approaches, questioning assumptions, and validating decisions. Use when testing approach validity or preventing automatic agreement.
Provides expert architectural advice, risk analysis (premortem), and weighted comparison of approaches. Useful when deciding between options, evaluating trade-offs, or identifying potential issues.
Challenges assumptions before major decisions like diamond transitions and architecture choices using pre-mortems, assumption reversals, red teaming, and 10 key questions to counter biases.