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Api Onboarding

Community
jonathimer
api-onboarding

Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, and identifying and eliminating common failure points. Trigger phrases: "API onboarding", "time to first API call", "TTFAC", "developer onboarding", "first API call", "auth simplification", "sandbox environment", "interactive docs", "try it now", "API playground", "developer activation", "onboarding friction"

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill nameapi-onboarding
Stars
87
Forks
6
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jonathimer on GitHub. Read the source before you install it.

Installation

Install the Api Onboarding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jonathimer/devmarketing-skills.git /tmp/devmarketing-skills
mkdir -p .claude/skills
cp -r /tmp/devmarketing-skills/skills/api-onboarding .claude/skills/api-onboarding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Api Onboarding in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Api Onboarding on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Api Onboarding is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Reducing Time-to-First-API-Call

The time between a developer discovering your API and successfully making their first call is the most critical window in your entire developer journey. Every minute of friction here costs you potential users.

Overview

Time-to-First-API-Call (TTFAC) is the single most predictive metric for developer adoption. Developers who succeed quickly become active users. Developers who struggle leave—often silently.

This skill covers:

  • Measuring and optimizing TTFAC
  • Removing authentication friction
  • Creating effective sandbox environments
  • Building interactive documentation
  • Identifying and fixing common failure points

Before You Start

Review the developer-audience-context skill to understand:

  • What's the typical technical sophistication of your developers?
  • What tools and environments do they commonly use?
  • What alternative products have they tried? What was their experience?
  • What's their urgency level? (Evaluating vs. building immediately)

Your onboarding should meet developers where they are.

Understanding TTFAC

What TTFAC Measures

Time-to-First-API-Call measures the elapsed time from a developer's first interaction to their first successful API response. This includes:

  1. Discovery time: Finding the "Get Started" content
  2. Signup time: Creating an account
  3. Credential time: Obtaining API keys
  4. Setup time: Installing SDK, configuring environment
  5. Execution time: Running first request
  6. Success time: Receiving successful response

TTFAC Benchmarks

RatingTTFACDeveloper Experience
Excellent< 5 min"This is amazing"
Good5-15 min"Pretty straightforward"
Acceptable15-30 min"Got there eventually"
Poor30-60 min"This is frustrating"
Failing> 60 min"I'll try something else"

Measuring TTFAC

Instrumentation points:

javascript
// Track these events with timestamps
analytics.track('docs_quickstart_viewed');
analytics.track('signup_started');
analytics.track('signup_completed');
analytics.track('api_key_created');
analytics.track('sdk_installed');     // Via package manager data
analytics.track('first_api_call');    // Via API logs
analytics.track('first_successful_call');

Calculate:

  • Median TTFAC (more useful than average)
  • TTFAC by developer segment
  • Drop-off rates at each step
  • Success rates within time windows (5 min, 15 min, 60 min)

Authentication Simplification

Authentication is the #1 source of onboarding friction. Simplify ruthlessly.

The Ideal Auth Flow

  1. Developer signs up (< 2 minutes)
  2. API key visible immediately (not buried in settings)
  3. Key works immediately (no activation delay)
  4. Copy-paste into example code
  5. Success

Auth Anti-Patterns to Avoid

The Approval Queue

❌ "Your API access request has been submitted.
    You'll receive access within 2-3 business days."

Developers leave and find an alternative.

The Hidden Key

❌ Settings → Team → API → Credentials → Keys → Show Key

Make keys visible on dashboard home.

The Complex Token

❌ OAuth flow requiring:
   - Client ID
   - Client secret
   - Redirect URI configuration
   - Token exchange
   - Token refresh handling

For getting started, provide simple API keys.

The Verification Gauntlet

❌ Sign up → Verify email → Verify phone →
   Add payment → Verify payment → Then API key

Minimize friction for first API call.

Auth Simplification Strategies

Provide Test Keys Immediately

✅ "Here's your test API key: sk_test_abc123...
    Use this in sandbox mode—no charges, no setup."

Support Multiple Auth Methods

✅ Quickstart: API key header
   Production: OAuth when they need it

Pre-populate Examples

✅ # Your API key is pre-filled in these examples
   curl -H "Authorization: Bearer sk_test_YOUR_KEY" ...

Delay Production Requirements

✅ Test mode: Instant access
   Production mode: Add payment, verify identity (later)

Sandbox Environments

A sandbox removes the fear of "breaking something" and lets developers experiment freely.

Sandbox Requirements

Instant Access: No approval, no payment, no complex setup

Realistic Behavior: Same API, same responses, same errors

Clear Boundaries: Obvious when in sandbox vs. production

Reset Capability: Easy way to start fresh

Generous Limits: Don't rate-limit experimentation

Sandbox Implementation Patterns

Separate Endpoints

Production: api.example.com
Sandbox:    sandbox-api.example.com

Key Prefixes

Production key: sk_live_abc123...
Sandbox key:    sk_test_xyz789...

Environment Parameter

curl -X POST https://api.example.com/v1/messages \
  -H "Authorization: Bearer $API_KEY" \
  -d '{"sandbox": true, ...}'

Sandbox Data

Pre-populated Test Data

javascript
// Sandbox comes with test users
const testUsers = await client.users.list();
// Returns: [
//   { id: "usr_test_alice", name: "Alice (Test)" },
//   { id: "usr_test_bob", name: "Bob (Test)" }
// ]

Magic Values

javascript
// Special values trigger specific behaviors
client.payments.create({
  amount: 1000,
  card: "4242424242424242"  // Always succeeds
});

client.payments.create({
  amount: 1000,
  card: "4000000000000002"  // Always declines
});

Documented Test Scenarios

markdown
## Test Card Numbers

| Number           | Behavior              |
|-----------------|----------------------|
| 4242424242424242 | Successful charge    |
| 4000000000000002 | Declined             |
| 4000000000009995 | Insufficient funds   |
| 4000000000000069 | Expired card         |

Interactive Documentation

Let developers make API calls without leaving the browser.

"Try It" Functionality

Essential Features:

  • Pre-authenticated (use their sandbox key automatically)
  • Pre-filled with working example data
  • Editable request parameters
  • Real API responses (not mocked)
  • Copy as cURL/code option

Implementation:

html
<div class="api-explorer">
  <h3>Try it: Send a Message</h3>

  <div class="request-editor">
    <label>To Phone Number</label>
    <input type="text" value="+15551234567" />

    <label>Message Body</label>
    <textarea>Hello from the API Explorer!</textarea>

    <button onclick="sendRequest()">Send Request</button>
  </div>

  <div class="response-viewer">
    <h4>Response</h4>
    <pre><code id="response"></code></pre>
  </div>
</div>

Interactive Docs Tools

OpenAPI-Based:

  • Swagger UI
  • Redoc
  • Stoplight Elements

Custom Platforms:

  • ReadMe.io
  • Postman Published Docs
  • Custom React components

Interactive Examples

Go beyond single requests:

markdown
## Interactive Tutorial: Send Your First Message

### Step 1: Check your balance
<api-explorer endpoint="GET /account/balance" />

### Step 2: Send a message
<api-explorer endpoint="POST /messages"
  body='{"to": "+15551234567", "body": "Hello!"}' />

### Step 3: Check message status
<api-explorer endpoint="GET /messages/{id}"
  params='{"id": "{{previous.id}}"}' />

Common Failure Points

Failure Point Analysis

Track where developers fail and why:

javascript
// Instrument error events
api.on('request_error', (error, request) => {
  analytics.track('api_error', {
    error_type: error.type,
    error_code: error.code,
    endpoint: request.endpoint,
    time_since_signup: timeSinceSignup(),
    is_first_call: isFirstCall()
  });
});

Most Common First-Call Failures

1. Authentication Errors (40% of first-call failures)

Problem: Wrong key, malformed header, missing auth
Fix:
- Clearer error messages: "API key should start with 'sk_test_'"
- Pre-filled code examples with actual key
- Auth header format shown with example

2. Request Format Errors (25%)

Problem: Wrong content type, malformed JSON, missing fields
Fix:
- Accept flexible content types on simple endpoints
- Return specific field-level errors
- Show exactly what was expected vs. received

3. Environment/Setup Errors (20%)

Problem: SDK not installed, wrong SDK version, missing dependencies
Fix:
- Version-specific installation instructions
- Compatibility matrix clearly visible
- Quick environment check script

4. Rate Limiting (10%)

Problem: Aggressive rate limits during exploration
Fix:
- Generous sandbox limits (or none)
- Clear rate limit errors with retry-after
- Don't count failed requests against limits

5. Networking Errors (5%)

Problem: Firewall, proxy, SSL issues
Fix:
- Connectivity test endpoint
- Clear networking troubleshooting guide
- Alternative ports/protocols if possible

Error Recovery Flows

Design error messages that recover the onboarding:

json
{
  "error": {
    "type": "authentication_error",
    "message": "Invalid API key provided",
    "code": "invalid_api_key",
    "recovery": {
      "steps": [
        "Check that your API key starts with 'sk_test_' or 'sk_live_'",
        "Ensure there are no extra spaces or newlines",
        "Generate a new key at https://dashboard.example.com/keys"
      ],
      "docs": "https://docs.example.com/authentication",
      "support": "https://support.example.com/auth-issues"
    }
  }
}

The First-Call Experience Audit

Audit Checklist

Perform this audit quarterly (or after any onboarding changes):

As a New Developer:

  • Create a new account (use a fresh browser/incognito)
  • Time how long until you have a working API key
  • Follow the quickstart exactly as written
  • Make your first API call
  • Record total time and every friction point

Questions to Answer:

  • How many clicks from homepage to first API call?
  • How many pages/tabs did you need open?
  • What did you have to figure out that wasn't explained?
  • Where did you get stuck or confused?
  • What would have made you give up?

Friction Point Scoring

FrictionImpactPriority
Must verify email before API keyHighFix immediately
API key buried in settingsHighFix immediately
No copy button on code examplesMediumFix this quarter
Quickstart assumes specific OSMediumFix this quarter
Example uses outdated SDK versionLowFix when updating docs

Onboarding Optimization Framework

Step 1: Measure Current State

  • Instrument TTFAC tracking
  • Run first-call audit with 5 developers
  • Identify top 3 drop-off points

Step 2: Reduce Steps

  • Can any step be eliminated entirely?
  • Can any step be deferred until later?
  • Can multiple steps be combined?

Step 3: Accelerate Remaining Steps

  • Pre-fill everything possible
  • Provide copy buttons everywhere
  • Show progress and next steps

Step 4: Recover Failures

  • Improve error messages
  • Add inline troubleshooting
  • Provide live support for stuck developers

Step 5: Measure and Iterate

  • Track TTFAC improvements
  • A/B test onboarding changes
  • Regular audits with real developers

Tools

Onboarding Analytics

  • Amplitude/Mixpanel: Event tracking and funnels
  • FullStory/Hotjar: Session recording
  • Custom dashboards: TTFAC metrics

Interactive Docs

  • ReadMe.io: Full-featured developer hub
  • Stoplight: OpenAPI-powered docs
  • Redocly: API documentation platform
  • Custom: Build with React/Vue

Testing

  • Ghost Inspector: Automated onboarding testing
  • Checkly: API monitoring and testing
  • k6: Load testing of onboarding flows

Related Skills

  • docs-as-marketing: Quickstart documentation
  • sdk-dx: SDK that reduces onboarding complexity
  • developer-sandbox: The playground developers onboard with
  • developer-audience-context: Understanding your onboarding audience
  • developer-metrics: Measuring onboarding success

Frequently asked questions

What does the Api Onboarding AI skill do?

Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, and identifying and eliminating common failure points. Trigger phrases: "API onboarding", "time to first API call", "TTFAC", "developer onboarding", "first API call", "auth simplification", "sandbox environment", "interactive docs", "try it now", "API playground", "developer activation", "onboarding friction"

Why use Api Onboarding on TypingMind?

Because you install it once and use it with any model. Api Onboarding is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Api Onboarding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jonathimer/devmarketing-skills/tree/main/skills/api-onboarding. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Api Onboarding?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Api Onboarding?

As many as you like. As long as a model supports skills, you can use Api Onboarding with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Api Onboarding AI skill free?

Yes. It is published on GitHub by jonathimer under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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