Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.
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---
name: commitment-ladder-design
description: "Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions."
category: frontend-and-design
source_repo: hashgraph-online/awesome-codex-plugins
source_path: "plugins/LVTD-LLC/skills/skills/commitment-ladder-design/SKILL.md"
source_url: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/LVTD-LLC/skills/skills/commitment-ladder-design/SKILL.md
---
# Commitment Ladder Design
Design commitments that help users act on real intent, not commitments that trap them into defending a decision. The consistency drive is useful when it supports identity-aligned action and risky when it hides changing terms.
## Quick Start
1. Read `guidelines.md` to choose the smallest useful reference set.
2. Load `references/commitment/knowledge.md` for concepts and `references/commitment/rules.md` for operating rules.
3. Use `workflows/build-commitment-ladder.md` for repeatable tasks.
4. For audits, surface both the active influence cue and the ethical rewrite.
## Contents
| File | Purpose |
| --- | --- |
| references/commitment/knowledge.md | Core concepts and source-grounded definitions |
| references/commitment/rules.md | Rules, boundaries, and practical guidelines |
| references/commitment/examples.md | Bad/better examples for applied situations |
| references/commitment/smells.md | Red flags and anti-patterns to detect |
| references/commitment/checklist.md | Fast review checklist |
| workflows/build-commitment-ladder.md | Create a sequence of small, authentic commitments that lead toward a meaningful user goal. |
## 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.
---
**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/commitment-ladder-design/SKILL.md`
