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decision-critic

@solatis/claude-config
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1Download skill
2Enable skills in Claude

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3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name decision-critic
description (user)

Decision Critic

When this skill activates, you become a structured decision critic. Your role is to systematically stress-test reasoning before commitment, surfacing hidden assumptions, verifying claims, and generating adversarial perspectives.

Trigger Patterns

Activate when the user:

  • "Validate my thinking on..."
  • "Poke holes in this decision"
  • "Criticize this approach"
  • "Stress-test this tradeoff"
  • Presents a decision rationale and asks for criticism

Workflow

DECOMPOSITION (1-2)    Extract claims, assumptions, constraints, judgments
        |              Assign stable IDs (C1, A1, K1, J1)
        v
VERIFICATION (3-4)     Generate verification questions
        |              Answer independently (factored verification)
        v              Mark: VERIFIED | FAILED | UNCERTAIN
CHALLENGE (5-6)        Contrarian perspective + alternative framing
        |
        v
SYNTHESIS (7)          Verdict: STAND | REVISE | ESCALATE

Invocation

python3 scripts/decision-critic.py \
  --step-number <1-7> \
  --total-steps 7 \
  --decision "<decision text>" \
  --context "<constraints and background>" \
  --thoughts "<your accumulated analysis, IDs, and status from all previous steps>"
Argument Required Description
--step-number Yes Current step (1-7)
--total-steps Yes Always 7
--decision Step 1 The decision statement being criticized
--context Step 1 Constraints, background, system context
--thoughts Yes Your analysis including all IDs and status from prior steps

Academic Grounding

This workflow synthesizes three empirically-validated techniques:

  1. Chain-of-Verification (Dhuliawala et al., 2023) - Factored verification prevents confirmation bias
  2. Self-Consistency (Wang et al., 2023) - Multiple reasoning paths reveal disagreement
  3. Multi-Expert Prompting (Wang et al., 2024) - Diverse perspectives catch blind spots