hierarchy-of-engagement

hierarchy-of-engagement is a skill for Claude Code, Codex from wdavidturner/product-skills. It costs 84 tokens per session (1,095 once invoked), scanned A, original, MIT.

A three-level framework for consumer products that explains how repeated user actions can create lasting benefits and make a product harder to leave. A North Star metric is the main measure of the product's core value.

In plain words
What is it for?
Choosing a core user action, defining a North Star metric, improving retention, and designing experiences that become more valuable as people use them.
Why use it?
It helps product teams move beyond attracting sign-ups and understand which actions build long-term use and retention.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Choosing a core user action, defining a North Star metric, improving retention, and designing experiences that become more valuable as people use them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wdavidturner/product-skills/hierarchy-of-engagement
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wdavidturner/product-skills --skill hierarchy-of-engagement
Clone the repo
git clone --depth 1 https://github.com/wdavidturner/product-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hierarchy-of-engagement

README.md
[![agentmods](https://agentmods.dev/badge/skills/wdavidturner/product-skills/hierarchy-of-engagement/github.svg)](https://agentmods.dev/skills/wdavidturner/product-skills/hierarchy-of-engagement)
Your own site
<a href="https://agentmods.dev/skills/wdavidturner/product-skills/hierarchy-of-engagement"><img src="https://agentmods.dev/badge/skills/wdavidturner/product-skills/hierarchy-of-engagement/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hierarchy-of-engagement

Your own site · 80×15
<a href="https://agentmods.dev/skills/wdavidturner/product-skills/hierarchy-of-engagement"><img src="https://agentmods.dev/badge/skills/wdavidturner/product-skills/hierarchy-of-engagement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.01095
Opus 5 $0.00042 $0.00548
Sonnet 5 $0.00017 $0.00219
Haiku 4.5 $0.00008 $0.00110

Measured 12d ago against content hash fcb6a1a261d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hierarchy-of-engagement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hierarchy-of-engagement/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hierarchy of Engagement

What It Is

The Hierarchy of Engagement is a three-level framework for building consumer products that retain users and create defensibility. The core insight: retention comes from making the product better the more you use it, so users have more to lose by leaving.

Most consumer products fail not because they lack users, but because they lack retention. Getting someone to sign up is one thing; getting them to stay is everything. This framework provides a systematic approach to building products where engagement compounds over time.

The key shift: Move from asking "How do we get more users?" to asking "How do we make each user's experience improve the more they use us?"

Response Posture

  • Apply the framework directly to the user's product.
  • Never mention the repository, skills, SKILL.md, patterns, or references.
  • Do not run tools or read files; answer from the framework.
  • Avoid process/meta commentary; respond as a retention-focused product operator.

When to Use It

Use the Hierarchy of Engagement when you need to:

  • Define your North Star metric (what action matters most?)
  • Improve retention in a consumer or social product
  • Build product stickiness beyond features alone
  • Create switching costs that protect against competitors
  • Design your onboarding/activation flow
  • Evaluate product-market fit through engagement quality
  • Prioritize features that drive compounding value

When Not to Use It

Don't apply this framework when:

  • Building B2B enterprise software (different retention dynamics)
  • The product is transactional by nature (one-time purchase)
  • There's no meaningful "use over time" pattern
  • You're optimizing for viral acquisition before proving retention
  • Your product has no user-generated content or personalization opportunity

Patterns

Detailed examples showing how to apply the Hierarchy of Engagement correctly. Each pattern shows a common mistake and the correct approach.

Read the full file on GitHub · 96 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 96 lines · 84 tokens per session scan A fcb6a1a261d9

Subscribe to this mod's changes

hierarchy-of-engagement is a skill published in the GitHub repository wdavidturner/product-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 84 tokens to every session and 1,095 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens