Agent skill

User Onboarding

by manojbajaj95 in manojbajaj95/claude-gtm-plugin

Design and improve product user onboarding (first-time user experience) to drive activation and early retention.

MITAuto-check passedProduct & Project Management

Install User Onboarding

skills CLI
$ npx skills add manojbajaj95/claude-gtm-plugin --skill user-onboarding -a claude-code

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

GitHub CLI
$ gh skill install manojbajaj95/claude-gtm-plugin user-onboarding --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/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/user-onboarding .claude/skills/user-onboarding && 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
user-onboarding
GitHub stars
105
Token cost
~2.3k tokens
SKILL.md length
1,018 words
Files
9 (incl. references)
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Design and improve product user onboarding (first-time user experience) to drive activation and early retention.

  • Works in 7 steps: Intake + goal framing (activation-first) → Map the current first-time journey (FTUE) → Define the activation / “aha moment”… → …
  • Tasks that involve UX design
  • SKILL.md covers Workspace Context, Operating Contract, Scope and Inputs, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

User Onboarding is an agent skill from manojbajaj95/claude-gtm-plugin. Design and improve product user onboarding (first-time user experience) to drive activation and early retention. Produces an Onboarding & Activation Pack (aha moment spec, first 30 seconds + first mile plan, onboarding journey map, experiment backlog, measurement plan). Use for Growth teams.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/CHECKLISTS.md`, `references/EXAMPLES.md` and `references/INTAKE.md`).

It sits in Product & Project Management, covering UX design, Spec-driven development and Customer journey mapping. The licence is MIT.

When your agent uses it

  • Tasks that involve UX design
  • Tasks that involve Spec-driven development
  • Tasks that involve Customer journey mapping

Example prompts

  • “/user-onboarding”

Workflow steps

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

  1. Intake + goal framing (activation-first)
  2. Map the current first-time journey (FTUE)
  3. Define the activation / “aha moment” (behavioral)
  4. Design the “first 30 seconds” (make it feel magical)
  5. Build the “first mile” plan (milestones → activation)
  6. Instrumentation + measurement plan
  7. Prioritize experiments + quality gate

What it can do on your machine

Read from SKILL.md and the folder at commit 0830a46. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

User Onboarding loads about 2.3k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 1,018 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

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 passed

The automated check found no risky patterns in SKILL.md.

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 manojbajaj95/claude-gtm-plugin at commit 0830a46, republished under its MIT licence (© manojbajaj95). 1,018 words, ~2,263 tokens.

Download SKILL.mdSave it as .claude/skills/user-onboarding/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
user-onboarding
description
Design and improve product user onboarding (first-time user experience) to drive activation and early retention. Produces an Onboarding & Activation Pack (aha moment spec, first 30 seconds + first mile plan, onboarding journey map, experiment backlog, measurement plan). Use for Growth teams.

User Onboarding

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Scope

Covers

  • Designing the first-time user experience (FTUE) from entry/signup → first value
  • Defining activation / the “aha moment” and reducing time-to-value
  • Creating a “first 30 seconds” experience and a “first mile” plan (milestones to activation)
  • Onboarding mechanics: progressive disclosure, guided setup, empty states, templates, checklists, feedback loops
  • Instrumentation + experiments to improve activation and early retention

When to use

  • “Activation is low” / “users drop during signup/onboarding”
  • “Time-to-value is too long”
  • “The first session doesn’t feel magical”
  • “We need an onboarding redesign / guided setup / empty state improvements”
  • “Define our aha moment and design onboarding to get users there”
  • “Create an onboarding experiment backlog + measurement plan”

When NOT to use

  • You’re onboarding employees, customers to a service process, or running training (not product onboarding).
  • You don’t have a stable value proposition / ICP (use brand-messaging-and-positioning or product-market-fit-analysis first).
  • You need a full retention strategy beyond onboarding (use customer-success-and-retention).
  • You need a conversion review of a marketing page or form (use conversion-rate-optimization).

Inputs

Minimum required

  • Product + ICP/segment(s) (1–2) and the primary job-to-be-done
  • Platform + entry point (web/mobile; where FTUE starts)
  • Best-available baseline metrics (even rough):
    • visit → signup → first key action → activation
    • time-to-value (time or sessions to first value)
    • D1 retention (if available)
  • Current onboarding flow summary (steps/screens) and the biggest drop-off point(s)
  • Constraints: timebox, eng/design capacity, allowed channels (in-app/email/push), privacy/legal/brand limits

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md, then proceed.
  • If metrics are missing, proceed with explicit assumptions and label confidence.
  • Do not request secrets or PII; prefer aggregated funnels and redacted screenshots.

Outputs (deliverables)

Produce an Onboarding & Activation Pack (Markdown in-chat; or as files if requested) containing:

  1. Context snapshot (goal, segment, constraints, baseline)
  2. Current FTUE map (step-by-step) + friction log
  3. Activation / aha moment spec (behavioral definition + threshold + validation plan)
  4. “First 30 seconds” experience spec (magic moment + success criteria)
  5. “First mile” onboarding plan (milestones to activation; mechanics per milestone)
  6. Experiment backlog (prioritized) + 3–5 experiment cards
  7. Measurement + instrumentation plan (events, properties, dashboards, guardrails)
  8. Rollout/rollback + risk plan
  9. Risks / Open questions / Next steps (always included)

Templates and checklists:

Workflow (7 steps)

1) Intake + goal framing (activation-first)
  • Inputs: User prompt; references/INTAKE.md.
  • Actions: Define the primary segment and the activation outcome. Make the goal measurable (baseline → target, date). Capture constraints and guardrails (e.g., don’t increase drop-off, don’t add dark patterns).
  • Outputs: Context snapshot + goal statement.
  • Checks: Goal is one sentence with a metric, baseline, target, and date.
2) Map the current first-time journey (FTUE)
  • Inputs: Current flow description/screens; funnel + drop-offs; support/sales notes if available.
  • Actions: Create a step-by-step journey map from entry → first value. Log frictions (confusion, time, permissions, empty states, choice overload). Identify the single biggest leak.
  • Outputs: FTUE map table + friction log + primary leak.
  • Checks: Every step has a user goal, product action, and a measurable checkpoint (event or proxy).
3) Define the activation / “aha moment” (behavioral)
  • Inputs: Candidate value behaviors; available events; retention definition (if any).
  • Actions: Propose 3–5 candidate “aha” behaviors and pick one activation definition with a threshold (e.g., “creates X and shares Y within 7 days”). Specify how to validate (correlation with D7/D30; holdout if possible).
  • Outputs: Activation/aha moment spec + validation plan + instrumentation needs.
  • Checks: Activation is observable, repeatable, and measurable (not “understands value”).
Show full SKILL.md (387 more words)Show less
4) Design the “first 30 seconds” (make it feel magical)
  • Inputs: Primary leak + activation spec; constraints.
  • Actions: Specify what the user should see/do/feel in the first 30 seconds:
    • Remove or defer non-essential setup (progressive disclosure).
    • Deliver a fast, native, interactive win (avoid passive carousel “tours”).
    • Provide immediate feedback and a clear next action.
  • Outputs: First 30 seconds spec (screen/script + success criteria).
  • Checks: A new user can reach a meaningful “win” within ~30 seconds (or you document why not and the best proxy).
5) Build the “first mile” plan (milestones → activation)
  • Inputs: Activation spec; journey map; UX constraints.
  • Actions: Break activation into 3–6 milestones (the “first mile”). For each milestone, define mechanics (guided setup, defaults, empty states, templates, checklists, feedback, progress). Ensure onboarding is “inside the product,” not detached from real actions.
  • Outputs: First mile onboarding plan + updated journey map.
  • Checks: Each milestone reduces time-to-value and has a leading-indicator metric.
6) Instrumentation + measurement plan
  • Inputs: Current analytics/events; proposed milestones; guardrails.
  • Actions: Define the minimum event schema and dashboards needed (funnel, time-to-value, activation rate, early retention). Add guardrails (support tickets, cancellations, performance).
  • Outputs: Measurement plan + event list/properties + dashboard outline.
  • Checks: Every experiment and milestone has a primary metric and at least one guardrail metric.
7) Prioritize experiments + quality gate
  • Inputs: Candidate interventions; measurement plan; references/CHECKLISTS.md and references/RUBRIC.md.
  • Actions: Convert top opportunities into experiment cards; prioritize (Impact × Confidence ÷ Effort). Add rollout/rollback guidance. Run checklist + score rubric. Always include Risks / Open questions / Next steps.
  • Outputs: Final Onboarding & Activation Pack.
  • Checks: Top 3 experiments are runnable within constraints and have “win/lose/learn” criteria.

Quality gate (required)

Examples

Example 1 (B2B SaaS, guided setup):
“Use user-onboarding. Product: workflow automation tool for SMB ops. Segment: new self-serve admins. Baseline: 42% signup completion, 9% activation within 7 days. Problem: users stall at connecting integrations. Constraint: 3-week sprint, 1 engineer, 1 designer. Output: an Onboarding & Activation Pack with an activation spec, a first-30-seconds + first-mile plan, and a prioritized experiment backlog.”

Example 2 (B2C app, time-to-value):
“Our first session feels flat. Redesign onboarding so users experience value within 30 seconds, define the activation event, and propose 5 experiments with metrics + guardrails.”

Boundary example (not product onboarding):
“Create an employee onboarding program for new hires.”
Response: this skill is for product onboarding; use an HR onboarding/training process instead.

© manojbajaj95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in skills/user-onboarding of manojbajaj95/claude-gtm-plugin.

  • SKILL.md
  • references/CHECKLISTS.md
  • references/EXAMPLES.md
  • references/INTAKE.md
  • references/RUBRIC.md
  • references/SOURCE_SUMMARY.md
  • references/TEMPLATES.md
  • references/WORKFLOW.md
  • skillpack.json

Open the folder on GitHubat commit 0830a46

Compare with similar skills

User Onboarding 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.

User Onboarding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
User Onboarding this skillmanojbajaj95/claude-gtm-plugin105—~2.3kAutomated safety check: PassMIT
Super Product Ownersyahiidkamil/Software-Engineer-AI-Agent-Atlas401—~7.9kAutomated safety check: PassNone
UX Researcher Designeralirezarezvani/claude-skills28k1 repos~3kAutomated safety check: PassMIT
User Journeysalinaqi/maggy707—~4.2kAutomated safety check: PassMIT
UX Researcher Designerborghei/Claude-Skills886—~5.1kAutomated safety check: PassMIT
Browser Journey Testdigipulse-engineering/GAAI-framework163—~1.1kAutomated safety check: PassCustom licence

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Questions about User Onboarding

What does User Onboarding do?

Design and improve product user onboarding (first-time user experience) to drive activation and early retention. User Onboarding is an agent skill from manojbajaj95/claude-gtm-plugin. Design and improve product user onboarding (first-time user experience) to drive activation and early retention.

When should I use User Onboarding?

User Onboarding fits situations like: tasks that involve UX design; tasks that involve Spec-driven development; tasks that involve Customer journey mapping.

How do I install User Onboarding in Claude Code?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill user-onboarding -a claude-code`. Or copy the skill folder (skills/user-onboarding in manojbajaj95/claude-gtm-plugin) into .claude/skills/user-onboarding in your project. Claude Code loads it when a task matches its description.

How do I install User Onboarding in Codex?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill user-onboarding -a codex`. Or copy the skill folder (skills/user-onboarding in manojbajaj95/claude-gtm-plugin) into .agents/skills/user-onboarding in your project. Codex loads it when a task matches its description.

Can I use User Onboarding 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 manojbajaj95/claude-gtm-plugin --skill user-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-onboarding, .gemini/skills/user-onboarding, .github/skills/user-onboarding and .opencode/skills/user-onboarding in your project.

What does User Onboarding need to run?

SKILL.md names no scripts, command-line tools or credentials: User Onboarding is instructions for the agent only.

Does User Onboarding 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 User Onboarding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does User Onboarding use?

User Onboarding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does User Onboarding use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.

What are the alternatives to User Onboarding?

Skills that share tags, products or a category with User Onboarding: Super Product Owner (syahiidkamil/Software-Engineer-AI-Agent-Atlas, 401 stars), UX Researcher Designer (alirezarezvani/claude-skills, 28k stars), User Journeys (alinaqi/maggy, 707 stars) and UX Researcher Designer (borghei/Claude-Skills, 886 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains User Onboarding?

manojbajaj95 (a GitHub user) maintains it in manojbajaj95/claude-gtm-plugin, which has 105 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on September 18, 2026.

Source: manojbajaj95/claude-gtm-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.