Devils Advocate
Forces you to argue against your first instinct before making architectural decisions or choosing between approaches. It's designed to interrupt the pattern where LLMs lock onto an answer early and rationalize backward. When you're about to recommend a framework, implementation strategy, or technical direction, it makes you steel-man the opposition, identify non-obvious failure modes, and state your assumptions explicitly. Skip it for trivial choices or when you're just executing an already-made decision. Works well paired with reasoning-verifier afterward to catch any remaining gaps. Honest take: this adds friction, but the kind that prevents you from confidently walking into predictable traps.
- skills.sh installs
- 279
- GitHub stars
- 50
- last updated
- Aug 21, 2026
Install
$ npx -y skills add majesticlabs-dev/majestic-marketplace --skill devils-advocate --agent claude-codeInstalls into .claude/skills of the current project.
Files
Devil's Advocate Protocol
Pre-commitment adversarial reasoning to prevent early lock-in and expose blind spots.
When to Apply
Activate this protocol when:
- Choosing between architectural approaches
- Selecting libraries, frameworks, or tools
- Planning implementation strategy
- Recommending one approach over alternatives
- User asks "should I...", "what's the best way to...", "which approach..."
- During
architect,Plan, orblueprintworkflows - Making trade-off decisions with non-obvious answers
When to Skip
Do NOT apply when:
- Executing already-decided implementation
- Single obvious path exists (no real alternatives)
- User explicitly chose the approach ("use X to do Y")
- Task is mechanical/procedural, not decisional
- Trivial choices with negligible impact
The Protocol
Step 1: Identify the Commitment
Before recommending an approach, explicitly state:
- What decision is being made
- What approach you're inclined toward
- Why you're drawn to it
Step 2: Steel-Man the Opposition
Sponsors
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- Repository
- github.com/majesticlabs-dev/majestic-marketplace
- Category
- Productivity & Planning
- First seen
- Jun 3, 2026
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