About reciprocity-offer-design
reciprocity-offer-design is a skill for designing offers that provide genuine value before making a request, without creating a sense of debt. It includes guidance, examples, checks, and a workflow for shaping value-first offers while preserving user choice.
Key features
- 01Designs value-first offers
- 02Avoids manufactured obligation
- 03Provides principles and practical rules
- 04Includes examples and red-flag checks
- 05Offers a repeatable design workflow
Use cases
- 01Planning a free resource before a purchase request
- 02Reviewing an offer for obligation traps
- 03Reworking an offer to preserve customer choice
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/reciprocity-offer-designin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
guidelines.mdagents/openai.yamlevals/evals.jsonreferences/reciprocity/checklist.mdexamples.mdknowledge.mdrules.mdsmells.mdworkflows/design-value-first-offer.mdDetails
From the project READMEReciprocity Offer Design
Use reciprocity to create real value before asking, while avoiding obligation traps. The rule is powerful because people feel pressure to repay favors, including some they did not request.
Quick Start
- Read
guidelines.mdto choose the smallest useful reference set. - Load
references/reciprocity/knowledge.mdfor concepts andreferences/reciprocity/rules.mdfor operating rules. - Use
workflows/design-value-first-offer.mdfor repeatable tasks. - For audits, surface both the active influence cue and the ethical rewrite.
Contents
| File | Purpose |
|---|---|
| references/reciprocity/knowledge.md | Core concepts and source-grounded definitions |
| references/reciprocity/rules.md | Rules, boundaries, and practical guidelines |
| references/reciprocity/examples.md | Bad/better examples for applied situations |
| references/reciprocity/smells.md | Red flags and anti-patterns to detect |
| references/reciprocity/checklist.md | Fast review checklist |
| workflows/design-value-first-offer.md | Create a free or front-loaded offer that builds trust without manufacturing debt. |
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
- Diagnosis - name the influence principle or cue.
- Evidence Check - state what proof supports or is missing from the cue.
- Risk - explain manipulation, trust, or decision-quality risk.
- 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.