Agent skill

Onboarding Playbook Creation

by seb1n in seb1n/awesome-ai-agent-skills

Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments.

MITAuto-check passedSales & Support

Install Onboarding Playbook Creation

skills CLI
$ npx skills add seb1n/awesome-ai-agent-skills --skill onboarding-playbook-creation -a claude-code

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

GitHub CLI
$ gh skill install seb1n/awesome-ai-agent-skills onboarding-playbook-creation --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/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/customer-success/onboarding-playbook-creation .claude/skills/onboarding-playbook-creation && 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
onboarding-playbook-creation
GitHub stars
206
Token cost
~2.4k tokens
SKILL.md length
1,110 words
Files
1
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments.

  • Works in 4 steps: Welcome (Day 0-3) → Setup (Day 4-10) → First Value (Day 11-20) → …
  • The user requests onboarding playbook creation
  • SKILL.md covers Workflow, Usage, Examples and Best Practices, plus 1 more section
  • Calls go

What it does

Onboarding Playbook Creation is an agent skill from seb1n/awesome-ai-agent-skills. Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. Use when the user requests onboarding playbook creation or provides relevant inputs for this workflow.

Its SKILL.md is about 2.4k 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 Sales & Support, covering Customer success, Project management and Transactional email. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.

When your agent uses it

  • The user requests onboarding playbook creation
  • Provides relevant inputs for this workflow

Example prompts

  • “/onboarding-playbook-creation”

Requirements

  • Node.js

Workflow steps

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

  1. Welcome (Day 0-3)
  2. Setup (Day 4-10)
  3. First Value (Day 11-20)
  4. Adoption (Day 21-30)

What it can do on your machine

Read from SKILL.md and the folder at commit 75865a5. 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

    Shell commands in SKILL.md call:

    • go

    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

Onboarding Playbook Creation loads about 2.4k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 1,110 words, ~2,431 tokens.

Download SKILL.mdSave it as .claude/skills/onboarding-playbook-creation/SKILL.md (or your agent's skills folder).
name
onboarding-playbook-creation
description
Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. Use when the user requests onboarding playbook creation or provides relevant inputs for this workflow.
license
MIT
metadata.author
community
metadata.version
1.0

Onboarding Playbook Creation

Build comprehensive onboarding playbooks that guide new customers from signup to first value and sustained adoption. This skill produces phased workflows with explicit milestones, task checklists, communication templates, and clear ownership so that every customer follows a repeatable path to success regardless of which CSM is assigned.

Workflow

  1. Define success milestones — Identify the 3-5 concrete outcomes that signal a customer has been successfully onboarded. These should be measurable product actions, not vague goals. Examples: "first report generated," "3+ team members active," "integration with primary data source complete." Tie each milestone to a business outcome the customer cares about to maintain alignment with their goals throughout the process.

  2. Map onboarding phases — Structure the journey into distinct phases, each with a clear entry criteria, exit criteria, and expected duration. A standard B2B framework uses four phases: Welcome (Day 0-3) — account setup and introductions. Setup (Day 4-10) — technical configuration and data import. First Value (Day 11-20) — achieving the initial "aha moment" with the product. Adoption (Day 21-30) — expanding usage across the team and embedding into workflows.

  3. Create task checklists per phase — Break each phase into specific, actionable tasks with owners (CSM, customer, SE, product). Each task should have an estimated duration, dependencies on prior tasks, and a definition of done. Include both internal tasks (create customer Slack channel, schedule kickoff) and customer-facing tasks (invite team members, connect data source).

  4. Design communication templates — Write email and in-app message templates for each phase transition and key touchpoint. Include: welcome email, kickoff meeting agenda, mid-onboarding check-in, milestone celebration, risk alert (if a milestone is missed), and graduation email. Each template should have personalization tokens and conditional blocks based on customer segment.

  5. Set timeline and ownership — Assign every task to a specific role and set due dates relative to the onboarding start date (Day 0). Create escalation rules for overdue tasks: 2 days overdue triggers a CSM nudge, 5 days overdue triggers a manager alert, 10 days overdue triggers a playbook reassessment call. Build in buffer for enterprise accounts that require procurement and security reviews.

Usage

Describe your product, customer segment, and onboarding goals. The agent will produce a complete playbook with phases, tasks, templates, and timelines.

Create a 30-day onboarding playbook for our B2B analytics platform. Target
segment is mid-market (50-500 employees). Key success milestones: connect a
data source, build first dashboard, share with 3+ team members.

Examples

Example 1: 30-day B2B SaaS onboarding playbook

Input: B2B analytics platform, mid-market segment, 30-day onboarding window.

Output:

Phase 1: Welcome (Day 0-3)
TaskOwnerDurationDone When
Send welcome email with login credentials and quickstart guideCSM15 minEmail delivered, customer opens
Create internal customer channel (#cs-acme-corp)CSM5 minChannel exists with team added
Schedule kickoff call for Day 2-3CSM10 minCalendar invite accepted
Conduct kickoff call: align on goals, introduce support channels, confirm timelineCSM + Customer45 minMeeting notes shared, milestones agreed
Customer completes account profile and invites admin userCustomer20 minAdmin user active in product
Phase 2: Setup (Day 4-10)
TaskOwnerDurationDone When
Connect primary data source (guided walkthrough)Customer + SE1-2 hoursData source shows "connected" status, initial sync complete
Verify data integrity — spot-check 3 metrics against sourceSE30 minMetrics match within 2% tolerance
Configure SSO/SAML if enterpriseSE1 hourTeam can login via company identity provider
Send Day 7 check-in email: "How's setup going?"CSM (automated)—Email sent, reply monitored
Troubleshoot any integration blockersSEVariesAll blockers resolved, customer unblocked
Phase 3: First Value (Day 11-20)
TaskOwnerDurationDone When
Build first dashboard using template libraryCustomer + CSM45 minDashboard created with live data
CSM reviews dashboard and suggests improvementsCSM30 minCustomer confirms dashboard meets their needs
Customer shares dashboard with 3 team membersCustomer10 min3+ users have viewed the shared dashboard
Send milestone email: "You built your first dashboard!"CSM (automated)—Email delivered with next steps
15-minute adoption check-in callCSM + Customer15 minUsage patterns reviewed, expansion opportunities identified
Show full SKILL.md (467 more words)Show less
Phase 4: Adoption (Day 21-30)
TaskOwnerDurationDone When
Customer creates 2 additional dashboards independentlyCustomerSelf-paced3+ total dashboards exist
Enable scheduled report deliveryCustomer + CSM20 minAt least 1 scheduled report active
Conduct graduation call: review milestones, transition to ongoing CSCSM + Customer30 minCustomer confirms self-sufficiency, success plan created
Internal handoff to ongoing CSM (if different from onboarding CSM)CSM → CSM30 minHandoff doc complete, new CSM introduced
Send graduation email with advanced resources and community inviteCSM (automated)—Email delivered
Example 2: Developer tool self-serve onboarding checklist

Input: Developer CLI tool, self-serve motion, no CSM involvement.

Output:

In-App Onboarding Checklist (shown in dashboard sidebar)

Welcome to DevTool! Complete these steps to get up and running.

□ Install the CLI
  Run: npm install -g @devtool/cli
  Verify: devtool --version shows v3.x

□ Authenticate your account
  Run: devtool auth login
  Opens browser → approve → token saved locally

□ Connect your first repository
  Run: devtool init in your project root
  Creates .devtool.yml config file

□ Run your first scan
  Run: devtool scan
  View results at app.devtool.com/results

□ Fix your first issue
  Click any finding → follow the suggested fix
  Re-run devtool scan to verify

□ Invite a teammate
  Go to Settings → Team → Invite
  Enter their email to share project access

□ Set up CI integration
  Add devtool scan to your CI pipeline
  See: docs.devtool.com/ci for GitHub Actions, GitLab CI, and Jenkins examples

✓ You're all set! Explore advanced features →

Companion email sequence (automated):

  • Signup +0h: Welcome email with install instructions and link to interactive tutorial
  • Signup +24h: "Did you run your first scan?" — re-engagement if install step incomplete
  • Signup +72h: "Here's what teams like yours find most valuable" — use case inspiration
  • Signup +7d: "Invite your team" — social proof of team adoption stats
  • Signup +14d: "Ready for CI?" — guide to pipeline integration with ROI calculator

Best Practices

  • Optimize for time-to-first-value above all else — every task that doesn't directly contribute to the customer's first success moment should be deferred to post-onboarding.
  • Build separate playbook variants per segment (SMB self-serve, mid-market guided, enterprise high-touch) rather than one generic playbook with conditional branches.
  • Instrument every milestone as a product event so you can measure onboarding completion rates, identify drop-off points, and trigger automated interventions.
  • Include "what good looks like" benchmarks for each phase — e.g., "80% of customers connect a data source by Day 7" — so CSMs know when an account is falling behind.
  • Review and update the playbook quarterly based on completion rate data, customer feedback, and product changes.
  • Assign a playbook owner (usually a CS Ops lead) who is accountable for maintaining the playbook, training new CSMs, and iterating on it.

Edge Cases

  • Customer goes dark during onboarding — If no response to 2 consecutive outreach attempts, trigger a "re-engagement" branch: peer CSM tries alternate contact, AE reaches out to economic buyer, final "we're here when you're ready" email at Day 25.
  • Customer wants to skip phases — Technical customers who have already self-configured should be able to fast-track. Validate their setup meets the milestone criteria and advance them to the appropriate phase.
  • Multi-product onboarding — When a customer purchases multiple products, stagger onboarding to avoid overwhelming them. Complete Product A onboarding before starting Product B, with a 1-week buffer.
  • Champion leaves mid-onboarding — Immediately identify a new point of contact. Offer to restart the kickoff call with the replacement to rebuild context and alignment.
  • Onboarding takes longer than planned — If Phase 2 (Setup) extends beyond its window due to technical complexity, do not compress Phase 3 and 4. Extend the total timeline and communicate the revised schedule to all stakeholders.

© seb1n, 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 customer-success/onboarding-playbook-creation of seb1n/awesome-ai-agent-skills.

Open the folder on GitHubat commit 75865a5

Compare with similar skills

Onboarding Playbook Creation 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.

Onboarding Playbook Creation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Onboarding Playbook Creation this skillseb1n/awesome-ai-agent-skills206—~2.4kAutomated safety check: PassMIT
Customer Statustechwolf-ai/ai-first-toolkit132—~1.2kAutomated safety check: PassMIT
HTML Ppt Zhangzara Daisy Daysnexu-io/open-design100k—~1.2kAutomated safety check: PassMIT
Customer Success Planmohitagw15856/pm-claude-skills1.4k—~2.6kAutomated safety check: PassMIT
Support Feedback Prioritizationamplitude/builder-skills159—~949Automated safety check: PassNone
Statement Of Workmohitagw15856/pm-claude-skills1.4k—~980Automated safety check: PassMIT

Similar skills

  • Customer Status

    techwolf-ai/ai-first-toolkit

    Synthesised view of account health and activity for managers overseeing customer-facing teams (Sales, CS, Professional Services, Presales).

    132 GitHub stars~1.2k tokensUpdated 12 days ago
    Sales & SupportAuto-check passed
  • A customer-success workshop onboarding users to a project-management app — the first-value path and the habits that retain.

    100k GitHub stars~1.2k tokensUpdated yesterday
    Sales & SupportAuto-check passed
  • Customer Success Plan

    mohitagw15856/pm-claude-skills

    Build a joint customer success plan for a specific account. An agent skill from mohitagw15856/pm-claude-skills.

    1.4k GitHub stars~2.6k tokensUpdated 2 days ago
    Sales & SupportAuto-check passed
  • Support Feedback Prioritization

    amplitude/builder-skills

    Pull Intercom tickets and Slack support messages from the past 7 days, classify each signal, enrich with CRM data (ARR, plan, renewal), score by customer value and churn risk, and output a tiered…

    159 GitHub stars~949 tokensUpdated 2 mo ago
    Sales & SupportAuto-check passed
  • Statement Of Work

    mohitagw15856/pm-claude-skills

    Write a tight Statement of Work (SOW) that prevents scope creep and payment disputes.

    1.4k GitHub stars~980 tokensUpdated 2 days ago
    Sales & SupportAuto-check passed
  • Research Proposal Development

    hashgraph-online/awesome-codex-plugins

    Develop research proposals with solicitation alignment, reviewer-focused logic, evidence-bounded preliminary results, milestones, risks, and compelling figures.

    1.3k GitHub stars~547 tokensUpdated yesterday
    Sales & SupportAuto-check passed

More from seb1n/awesome-ai-agent-skills

All 101 skills in this repo
  • Agent Red Teaming

    seb1n/awesome-ai-agent-skills

    Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings.

    206 GitHub stars~2.8k tokensUpdated 2 mo ago
    Auto-check passed
  • Eu AI Act Readiness

    seb1n/awesome-ai-agent-skills

    Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…

    206 GitHub stars~3.3k tokensUpdated 2 mo ago
    Auto-check passed
  • Human In The Loop

    seb1n/awesome-ai-agent-skills

    Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows.

    206 GitHub stars~2.5k tokensUpdated 2 mo ago
    Auto-check passed
  • MCP Server Building

    seb1n/awesome-ai-agent-skills

    Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports, structured errors, and interoperability tests.

    206 GitHub stars~2.5k tokensUpdated 2 mo ago
    Auto-check passed
  • PDF Processing

    seb1n/awesome-ai-agent-skills

    Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity.

    206 GitHub stars~2.5k tokensUpdated 2 mo ago
    Auto-check passed
  • Skill Supply Chain Audit

    seb1n/awesome-ai-agent-skills

    Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk.

    206 GitHub stars~2.4k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Onboarding Playbook Creation

What does Onboarding Playbook Creation do?

Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. Onboarding Playbook Creation is an agent skill from seb1n/awesome-ai-agent-skills. Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments.

When should I use Onboarding Playbook Creation?

Onboarding Playbook Creation fits situations like: the user requests onboarding playbook creation; provides relevant inputs for this workflow.

How do I install Onboarding Playbook Creation in Claude Code?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill onboarding-playbook-creation -a claude-code`. Or copy the skill folder (customer-success/onboarding-playbook-creation in seb1n/awesome-ai-agent-skills) into .claude/skills/onboarding-playbook-creation in your project. Claude Code loads it when a task matches its description.

How do I install Onboarding Playbook Creation in Codex?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill onboarding-playbook-creation -a codex`. Or copy the skill folder (customer-success/onboarding-playbook-creation in seb1n/awesome-ai-agent-skills) into .agents/skills/onboarding-playbook-creation in your project. Codex loads it when a task matches its description.

Can I use Onboarding Playbook Creation 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 seb1n/awesome-ai-agent-skills --skill onboarding-playbook-creation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding-playbook-creation, .gemini/skills/onboarding-playbook-creation, .github/skills/onboarding-playbook-creation and .opencode/skills/onboarding-playbook-creation in your project.

What does Onboarding Playbook Creation need to run?

Going by SKILL.md and its folder, Onboarding Playbook Creation needs the command-line tools its instructions call (go). Our summary lists: Node.js.

Does Onboarding Playbook Creation 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 Onboarding Playbook Creation 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 Onboarding Playbook Creation use?

Onboarding Playbook Creation 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 Onboarding Playbook Creation use?

About 2.4k tokens (SKILL.md is roughly 9.7k 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 Onboarding Playbook Creation?

Skills that share tags, products or a category with Onboarding Playbook Creation: Customer Status (techwolf-ai/ai-first-toolkit, 132 stars), HTML Ppt Zhangzara Daisy Days (nexu-io/open-design, 100k stars), Customer Success Plan (mohitagw15856/pm-claude-skills, 1.4k stars) and Support Feedback Prioritization (amplitude/builder-skills, 159 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboarding Playbook Creation?

seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on August 9, 2026.

Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.