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Agent skill

Keep Onboard

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence.

MITAuto-check: notesMarketing & SEO

Install Keep Onboard

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-onboard -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace keep-onboard --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/keep-onboard .claude/skills/keep-onboard && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
keep-onboard
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
368 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence.

  • Works in 6 steps: Scan Existing Onboarding → Map Current Activation Sequence → Define the Aha Moment → …
  • Asked to fix onboarding
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keep Onboard is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence. Use when asked to "fix onboarding", "improve activation", "time-to-value is too slow", or "customers aren't getting started".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Email marketing and Customer success. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to fix onboarding
  • Improve activation
  • Time-to-value is too slow
  • Customers arent getting started

Example prompts

  • “fix onboarding”
  • “improve activation”
  • “time-to-value is too slow”
  • “/keep-onboard”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Scan Existing Onboarding
  2. Map Current Activation Sequence
  3. Define the Aha Moment
  4. Identify Drop-Off Points
  5. Design Optimized Onboarding
  6. Write Onboarding Email Sequence

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keep Onboard loads about 1.3k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 368 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 368 words, ~1,308 tokens.

Download SKILL.mdSave it as .claude/skills/keep-onboard/SKILL.md (or your agent's skills folder).
name
keep-onboard
description
Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence. Use when asked to "fix onboarding", "improve activation", "time-to-value is too slow", or "customers aren't getting started".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, AskUserQuestion
version
0.1.0
author
tonone-ai <hello@tonone.ai>
license
MIT

Onboarding Optimization

You are Keep — the customer success engineer on the Product Team. Diagnose and redesign the onboarding flow to maximize activation.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Scan Existing Onboarding
bash
# Find onboarding components
find . -name "*.tsx" -o -name "*.jsx" -o -name "*.vue" 2>/dev/null | xargs grep -l "onboard\|welcome\|getting.started\|checklist\|setup\|first.step\|tour" 2>/dev/null | head -15

# Find onboarding emails
find . -name "*.ts" -o -name "*.json" 2>/dev/null | xargs grep -l "welcome.email\|onboard.email\|activation.email\|day.0\|day.1\|signup.sequence" 2>/dev/null | head -10

# Find activation tracking
find . -name "*.ts" -o -name "*.tsx" 2>/dev/null | xargs grep -l "track\|analytics\|event\|identify\|onboarding_complete\|first_value\|activation" 2>/dev/null | head -10
Step 1: Map Current Activation Sequence

Document every step from signup to first value:

StepWhat happensWho initiatesTracked?Drop-off?
1SignupUser[✓/✗]
2Email verifySystem[✓/✗]
3[next step]
...
NFirst value

Time-to-value (TTV): How long from signup to first value? Minutes / Hours / Days?

Step 2: Define the Aha Moment

The "aha moment" is the specific action where the user first experiences the product's core value.

  • What is the aha moment for this product? (be specific: "user adds first team member", "first API call returns data", "first task completes automatically")
  • Can the user reach it without help? (test this: sign up as a new user and try)
  • Is it tracked? (event name?)
  • % of users who reach it within 7 days? (target: 40%+)

If aha moment is undefined or unreachable solo, that is the onboarding problem.

Step 3: Identify Drop-Off Points

Map where users are abandoning:

Signup ────────────────────── 100%
         ↓ lose [X%]
Email verify ──────────────── [%]
         ↓ lose [X%]
Profile setup ─────────────── [%]
         ↓ lose [X%]
First key action ──────────── [%]   ← Usually biggest drop
         ↓ lose [X%]
Aha moment reached ────────── [%]   ← This is activation rate

Root causes per drop-off type:

  • Drop at email verify: friction, users don't trust the product yet
  • Drop at profile setup: too many required fields, unclear value
  • Drop at first action: UX unclear, missing data/context, value not obvious
  • Drop before aha: too many steps before the payoff
Show full SKILL.md (130 more words)Show less
Step 4: Design Optimized Onboarding

Principles:

  1. Aha moment as fast as possible. Every step before it is friction to minimize.
  2. Show value before asking for information. Don't ask for credit card / company size before the user has experienced value.
  3. Progress indicators reduce anxiety. Users who don't know how long setup takes abandon faster.
  4. Empty state is a call to action. Don't show an empty dashboard — show the first action to take.

Produce redesigned onboarding flow:

Step 1: [Action] — [How to minimize friction here]
Step 2: [Action] — [How to minimize friction here]
...
Step N: [Aha moment] — [How to make this feel like the payoff it is]
Step 5: Write Onboarding Email Sequence

5-email activation sequence (trigger: signup, not time-based):

Email 0 — Welcome (send: immediately)
Subject: [Welcome message — human, not corporate]
Goal: Set expectation for first value. Link directly to aha moment step.
Length: 3 sentences.

Email 1 — Day 1 (send: if no aha moment hit in 24h)
Subject: [Specific to the aha moment they haven't reached]
Goal: Remove the #1 reason users don't get started
Length: 4 sentences + one action link.

Email 2 — Day 3 (send: if no aha moment hit in 3 days)
Subject: [Social proof or a different angle]
Goal: Show someone like them who succeeded
Length: 3 sentences + quote/story + link.

Email 3 — Day 7 (send: if still no activation)
Subject: [Question — "Is this the right time?"]
Goal: Qualify intent — are they ready or not?
Length: 2 sentences + reply invitation.

Email 4 — Day 14 (send: if still no activation)
Subject: [Breakup — not guilt, not pressure]
Goal: Re-engagement or honest close
Length: 3 sentences.

Delivery

Produce: (1) drop-off map, (2) redesigned activation flow, (3) 5-email sequence ready to load into email tool. Every email must have a subject line, body copy, and one CTA. If output exceeds 40 lines, delegate to /atlas-report.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ai-agency/tonone/skills/keep-onboard of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Keep Onboard next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Keep Onboard compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keep Onboard this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: NotesMIT
Email Sequencefreekmurze/dotfiles1k19 repos~2kAutomated safety check: PassNone
Emailscoreyhaines31/marketingskills54k1 repos~2.8kAutomated safety check: PassMIT
Email SequenceLeoYeAI/openclaw-marketing-skills1k2 repos~2.1kAutomated safety check: PassCustom licence
Onboarding Crofreekmurze/dotfiles1k16 repos~1.6kAutomated safety check: PassNone
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT

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Categories

Questions about Keep Onboard

What does Keep Onboard do?

Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence. Keep Onboard is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence.

When should I use Keep Onboard?

Keep Onboard fits situations like: asked to fix onboarding; improve activation; time-to-value is too slow; customers arent getting started.

How do I install Keep Onboard in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-onboard -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/keep-onboard in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/keep-onboard in your project. Claude Code loads it when a task matches its description.

How do I install Keep Onboard in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-onboard -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/keep-onboard in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/keep-onboard in your project. Codex loads it when a task matches its description.

Can I use Keep Onboard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keep-onboard, .gemini/skills/keep-onboard, .github/skills/keep-onboard and .opencode/skills/keep-onboard in your project.

What does Keep Onboard need to run?

SKILL.md names no scripts, command-line tools or credentials: Keep Onboard is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, AskUserQuestion.

Does Keep Onboard access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Keep Onboard safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Keep Onboard use?

Keep Onboard is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keep Onboard use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Keep Onboard?

Skills that share tags, products or a category with Keep Onboard: Email Sequence (freekmurze/dotfiles, 1k stars), Emails (coreyhaines31/marketingskills, 54k stars), Email Sequence (LeoYeAI/openclaw-marketing-skills, 1k stars) and Onboarding Cro (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keep Onboard?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.