onboarding

onboarding is a skill for Claude Code from coreyhaines31/marketingskills. It costs 134 tokens per session (2,274 once invoked), scanned A, original, MIT.

A guide to improving the experience after signup so new users reach the product’s main benefit quickly and are more likely to keep using it.

In plain words
What is it for?
Use it to improve first-run experiences, signup follow-up, empty screens, onboarding checklists, activation goals, and the path to a user’s first successful outcome.
Why use it?
It helps find and remove steps that delay value, confuse new users, or cause them to stop before completing an important first action.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-skills plugin — 50 skills shipped together

Good fit Use it to improve first-run experiences, signup follow-up, empty screens, onboarding checklists, activation goals, and the path to a user’s first successful outcome.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/onboarding
About the project

Marketing Skills is a collection of skills for AI coding agents that assist with conversion optimization, copywriting, SEO, analytics, and growth engineering. Technical marketers and founders use it to apply agents to marketing work in tools such as Claude Code, OpenAI Codex, Cursor, and Windsurf. The catalogue entries are the project's own marketing skills and instructions.

coreyhaines31/marketingskills · 49,355 stars · on GitHub · marketing-skills.com

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 coreyhaines31/marketingskills --skill onboarding
Clone the repo
git clone --depth 1 https://github.com/coreyhaines31/marketingskills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 50 skills.

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 onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/onboarding/github.svg)](https://agentmods.dev/skills/coreyhaines31/marketingskills/onboarding)
Your own site
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/onboarding"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/onboarding/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 onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/onboarding"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,274 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. Third-party audits
  • Socket pass 14 May 2026
  • Snyk pass 14 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00134 $0.02274
Opus 5 $0.00067 $0.01137
Sonnet 5 $0.00027 $0.00455
Haiku 4.5 $0.00013 $0.00227

Measured 12d ago against content hash ca219e0ba8f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

onboarding 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/onboarding/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboarding CRO

You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before providing recommendations, understand:

  1. Product Context - What type of product? B2B or B2C? Core value proposition?
  2. Activation Definition - What's the "aha moment"? What action indicates a user "gets it"?
  3. Current State - What happens after signup? Where do users drop off?

Core Principles

1. Time-to-Value Is Everything

Remove every step between signup and experiencing core value. Design the Minimum Path to Value (MPTV) — the least number of steps to experience enough value to make a confident decision (see references/minimum-path-to-value.md).

2. One Goal Per Session

Focus first session on one successful outcome. Save advanced features for later.

3. Do, Don't Show

Interactive > Tutorial. Doing the thing > Learning about the thing.

4. Progress Creates Motivation

Show advancement. Celebrate completions. Make the path visible. (See onboarding psychology below for the mechanisms.)


Onboarding Psychology

The principles that make progress mechanics, checklists, and prompts actually work:

  • Endowed Progress Effect — people finish faster when progress is already started for them. A checklist that opens at "20% done" (a step pre-completed on their behalf) drives roughly +40% completion vs. starting at 0%. Give users a head start, don't make them start from nothing.
  • Peak-End Rule — users remember an experience by its most intense moment (the peak) and its end, not the average. Engineer a clear high point (a win, a wow, a celebration) and end each session on a positive note.
  • Goldilocks Rule — motivation peaks when a task is neither too easy nor too hard, but just right on the edge of ability. Tune early steps so they're achievable but not trivial.
  • BJ Fogg Behavior Model — a behavior happens only when Motivation × Ability × Prompt converge at the same moment. If a step isn't happening, one of the three is missing: raise motivation, make it easier (Ability), or add a better-timed Prompt.
  • Mario Kart boosters & blockers (Ramli John) — treat onboarding like a race track. Add boosters (accelerants: pre-filled data, templates, quick wins, celebrations) and remove blockers (friction: required fields, dead ends, confusing empty states). Speed users toward value and clear obstacles from the lane.

Read the full file on GitHub · 262 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 262 lines · 134 tokens per session scan A ca219e0ba8f9

Subscribe to this mod's changes

onboarding is a skill published in the GitHub repository coreyhaines31/marketingskills (49,355 stars, last pushed 6d ago), licensed MIT. It adds 134 tokens to every session and 2,274 once invoked, about $0.0007 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

magazine-web-ppt

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.

nexu-io/open-design · 67 tokens

html-ppt-zhangzara-coral

OpenDesign's community-growth campaign across GitHub, Discord, and X: the loops, the content calendar, and the pipeline math. Built as a decision-grade marketing & GTM deck for growth team, community lead.

nexu-io/open-design · 55 tokens

press-media-relations

Use when the user asks to "build a media list for my launch", "write a launch press release", or "pitch press under embargo"; produces a three-tier media and analyst list (Tier 1 exclusive candidates, Tier 2 vertical press, Tier 3 communities and newsletters), an embargo pitch timing skeleton keyed to the…

aaron-he-zhu/aaron-marketing-skills · 150 tokens

launch-monitor

Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar…

aaron-he-zhu/aaron-marketing-skills · 183 tokens

launch-tier-planner

Use when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with…

aaron-he-zhu/aaron-marketing-skills · 181 tokens

story-bank-builder

Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every…

aaron-he-zhu/aaron-marketing-skills · 157 tokens