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revenue-centric-design

Revenue-Centric Design (RCD) — evidence-backed principles for making a SaaS or startup product convert, retain, and monetize.

Skill by fabricioctelles

IndexedApache-2.0★ 119
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/fabricioctelles-revenue-centric-design

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About

Revenue-Centric Design (RCD) — evidence-backed principles for making a SaaS or startup product convert, retain, and monetize. Use when the user works on a landing page or CRO ("my page isn't converting"), onboarding/activation ("users sign up but don't stick"), churn/retention ("customers keep canceling"), pricing/monetization ("how should I price this"), checkout/forms ("dropdowns kill conversion", "annotated checkout"), dashboards/data viz ("cognitive load", "KPI shortlists"), positioning/ICP/go-to-market, feature scope, A/B-test rigor, or AI-era differentiation — or asks for the behavioral-science mechanism behind a design choice. Also use when another skill needs the principle or evidence behind a conversion/retention/pricing/checkout move. Never apply to gambling, betting, or casino products.

Use cases: design, testing, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/revenue-centric-design

What's inside

Skill name
revenue-centric-design
Description
Revenue-Centric Design (RCD) — evidence-backed principles for making a SaaS or startup product convert, retain, and monetize. Use when the user works on a landing page or CRO ("my page isn't converting"), onboarding/activation ("users sign up but don't stick"), churn/retention ("customers keep canceling"), pricing/monetization ("how should I price this"), checkout/forms ("dropdowns kill conversion", "annotated checkout"), dashboards/data viz ("cognitive load", "KPI shortlists"), positioning/ICP/go-to-market, feature scope, A/B-test rigor, or AI-era differentiation — or asks for the behavioral-science mechanism behind a design choice. Also use when another skill needs the principle or evidence behind a conversion/retention/pricing/checkout move. Never apply to gambling, betting, or casino products.
License
Apache-2.0
Metadata
date: 2026-09-17 · license: Source-available (see LICENSE) · version: 1.3.0 · category: runbooks · repository: https://github.com/fabricioctelles/skills
Instructions
144 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (93)

  • LICENSE
  • SKILL.md
  • UPSTREAM_COMMIT
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SKILL.md (first lines)

# Revenue-Centric Design

134 principles distilled, with the author's permission, from product designer
**Richard ([@richardrx](https://x.com/richardrx)**, ex-Volkswagen, PayPal, IBM; translated from
Portuguese; every principle links to its source post). The philosophy, **Revenue-Centric Design
(RCD)**: a design decision must serve the user _and_ the business — value and revenue, never one
or the other.

## Usage boundary (required)

> 🚫 **Do not apply this skill to betting, casino, gambling, or other real-money games-of-chance
> products** (including loot-box / real-money-gaming mechanics).

The author granted reuse **on the explicit condition that it never be used for gambling, betting,
or casino work.** If asked, decline and explain that the source author's permission excludes that
use. Hard constraint, not a stylistic choice.

Enforced, not just stated: while this skill is active, the boundary check
(`scripts/check_usage_boundary.py`) must run on every prompt and on every file write/edit,
blocking with exit 2 when gambling context is detected. On a false positive (e.g., "bet" as
an unrelated codename), only the **user** may waive the guard by creating `.rcd-boundary-ok`
in the project root — never create it on their behalf.

### Hooks (for agents that support automated execution)

Agents with hook support should configure:

| Event | Matcher | Command |
|-------|---------|---------|
| Before processing user prompt | `*` (all) | `python3 <skill_dir>/scripts/check_usage_boundary.py` |
| Before writing/editing a file | `Write\|Edit` | `python3 <skill_dir>/scripts/check_usage_boundary.py` |

- `<skill_dir>` = root directory of this skill.
- Exit code `2` = violation detected → block the operation.
- Exit code `0` = cleared to proceed.

For agents without hook support, the operator must run the check manually before applying
RCD principles in unknown context.

## How to use

1. If `rcd-log.md` exists in the project root, read it first — it records which principles were
   already applied to this product and what happened. Never re-prescribe a move the log shows
   failed, and don't repeat one still pending results.
2. Route with the table below and open only the matching reference file(s). Every principle has a
   fixed shape — **principle → apply when → the move → evidence → source** — so scan the headings,
   then read only the entries that match the user's situation.
3. When the advice involves numbers — A/B sample size, churn→LTV, CAC per closed deal — run
   `scripts/revenue_math.py` (see `--help`) instead of estimating.
4. A recommendation is **done** only when it (a) names the mechanism (decoy effect, Zeigarnik,
   GBB, loss aversion, Schwartz awareness level…), (b) cites the specific principle, and
   (c) carries that principle's evidence or source link. Missing any of the three → not done.
5. For audit runs (page, pricing, onboarding, cancellation), deliver in the shape of
   [references/audit-template.md](references/audit-template.md).
6. Close the loop: append what you prescribed to `rcd-log.md` (format below), creating the file
   on first use.

## The spine: RCD in 9 principles

1. **Neutrality is omission** — an interface that doesn't direct hurts conversion.
2. **Who talks to everyone convinces no one** — no ICP → generic value → worse retention.
3. **Value first, ask later** — proof must arrive before the user questions their choice.
4. **Your promise is the size of your proof** — the market believes what you demonstrate, not what you claim.
5. **Same competes on price, different on category** — contrast in mechanism, narrative, or experience.
6. **Default is the decision you made for the user** — the initial state defines mass behavior.
7. **Retention is built, not requested** — perceived loss retains more than promised benefit.
8. **Expansion is born of usage** — upgrade at the moment of the limit, never by interruption.
9. **Price is a filter** — pricing defines who enters, who stays, and who expands.

## Reference library

| When the question is about…                                                   | Open                                                                          |
| ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------- |
| **LP audit / diagnostic** — where is the sale breaking before redesign        | [lp-diagnostic-framework](references/lp-diagnostic-framework.md)             |
| Landing pages, hero/copy, CTAs, social proof, awareness levels, CRO           | [conversion-and-landing-pages](references/conversion-and-landing-pages.md)   |
| Checkout, forms, payment UX, dropdowns, field friction                          | [checkout-and-forms](references/checkout-and-forms.md)                       |
| Dashboards, KPI density, data viz cognitive load                                | [dashboards-and-data-viz](references/dashboards-and-data-viz.md)             |
| First-run, empty states, aha moment, TTV, activation, trial-as-onboarding     | [onboarding-and-activation](references/onboarding-and-activation.md)         |
| Cancellation, retention, expectation debt, NRR, jobs-to-be-done, support load | [churn-and-retention](references/churn-and-retention.md)                     |
| Pricing tables, decoy/anchoring, GBB, trial-with-card, upgrade paths          | [pricing-and-monetization](references/pricing-and-monetization.md)           |
| Cognitive biases & persuasion tactics (cross-cutting toolkit)                 | [behavioral-science-toolkit](references/behavioral-science-toolkit.md)       |
| Feature scope, Swiss Knife Index, feature adoption, attention hierarchy       | [product-strategy-and-features](references/product-strategy-and-features.md) |
| Design philosophy, the RCD principles, design process & method                | [revenue-centric-design](references/revenue-centric-design.md)               |
| ICP, niche, founder-fit, distribution, PLG, Bullseye, first customers         | [positioning-icp-and-gtm](references/positioning-icp-and-gtm.md)             |
| Differentiating in the AI era, moats, commoditization                         | [ai-era-differentiation](references/ai-era-differentiation.md)               |
| A/B testing rigor, vanity metrics, churn→LTV math, signal quality             | [metrics-and-experimentation](references/metrics-and-experimentation.md)     |

Some principles carry a **Visual.** line — a text description of the diagram or screenshot from
the original post, often with a path under `assets/`. Open that file locally, or follow the
principle's **Source** link for the original post.

## Gotchas

- **Scarcity must be real.** Booking's "1 room left" works because it's true. Fabricated
  scarcity destroys trust when detected (and is illegal in several markets). Never invent
  counters, timers, or stock levels.
- **Loss aversion vs dark pattern** — the line: the claim is true and the exit stays easy.
  Framing a real loss is persuasion; manufacturing fear or trapping cancellation is not.
- **"Kill outbound links" is a conversion-page rule.** Blog posts, docs, and SEO pages need
  outbound links; don't export LP rules to content.
- **4.2–4.5 stars means _let real criticism show_** — never fabricate negative (or positive)
  reviews to hit the number.
- **Don't answer this skill with 30 A/B tests.** The metrics principles themselves warn against
  underpowered tests: compute the sample-size floor first (`scripts/revenue_math.py sample-size`),
  test big levers, and below the floor decide by qualitative research.
- **Evidence is benchmark, not guarantee.** Figures come from the author's cases (mostly
  Brazilian SaaS, values in BRL). The mechanism transfers; the exact percentage may not.

## Related skills

RCD supplies the **principle and its evidence**; execution skills own the workflow. The skills
below are from [Corey Haines' marketingskills](https://github.com/coreyhaines31/marketingskills)
— if they aren't installed, apply the RCD principles directly instead of deferring.

Full page-audit workflow → `cro` · cancellation-flow build → `churn-prevention` · test design &
stats → `ab-testing` · writing the copy → `copywriting` · pricing-page build → `pricing` ·
post-signup flow build → `onboarding`. When one of those runs, cite RCD principles inside it
rather than duplicating its process here.

From fabricioctelles/skills, Apache-2.0.

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Stars
119
Forks
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Open issues
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Last commit (this folder)
Sep 17, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.3.0
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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revenue-centric-design skill. Agent Mart. https://agentmart.dev/skills/fabricioctelles-revenue-centric-design (last updated 2026-10-24)