SuperAPI AI Directory

contrast-framing

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Updated 10-16 00:02

About this skill

Contrast Framing

Frame comparisons so users understand relative value without being misled by sequencing. Contrast and reason-giving are useful when they clarify differences, not when they exploit automatic response.

Quick Start

  1. Read guidelines.md to choose the smallest useful reference set.
  2. Load references/contrast/knowledge.md for concepts and references/contrast/rules.md for operating rules.
  3. Use workflows/sequence-comparisons.md for repeatable tasks.
  4. For audits, surface both the active influence cue and the ethical rewrite.

Contents

File Purpose
references/contrast/knowledge.md Core concepts and source-grounded definitions
references/contrast/rules.md Rules, boundaries, and practical guidelines
references/contrast/examples.md Bad/better examples for applied situations
references/contrast/smells.md Red flags and anti-patterns to detect
references/contrast/checklist.md Fast review checklist
workflows/sequence-comparisons.md Design offer and request sequencing that clarifies value without distorting judgment.

Operating Principles

  • Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.
  • Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.
  • When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.

Output Pattern

  1. Diagnosis - name the influence principle or cue.
  2. Evidence Check - state what proof supports or is missing from the cue.
  3. Risk - explain manipulation, trust, or decision-quality risk.
  4. Rewrite or Recommendation - provide an ethical alternative.

Validation

Use the prompts in evals/evals.json as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.