### GET /resource Request Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example of how to retrieve a list of resources using curl, including authentication and query parameters.

```bash
curl -X GET "https://api.example.com/v1/resource?limit=10" \
  -H "Authorization: Bearer YOUR_API_KEY"
```

--------------------------------

### Build and Preview Animation

Source: https://github.com/onewave-ai/claude-skills/blob/main/animate/SKILL.md

Navigate to your animation project directory and run these commands to install dependencies, start the development server, and preview the animation in your browser.

```bash
cd ~/animations/[project-name]
npm install
npm run dev
```

--------------------------------

### GET /resource Response Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example JSON response for a successful GET /resource request, showing data, total count, limit, and offset.

```json
{
  "data": [
    {
      "id": "123",
      "name": "Example",
      "created_at": "2024-01-15T10:00:00Z"
    }
  ],
  "total": 100,
  "limit": 10,
  "offset": 0
}
```

--------------------------------

### POST /resource Request Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example of creating a new resource using curl, including authentication and JSON payload.

```bash
curl -X POST "https://api.example.com/v1/resource" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "My Resource",
    "description": "A test resource"
  }'
```

--------------------------------

### Install 'hey' Tool (macOS/Linux)

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-load-tester/SKILL.md

Provides commands to install the 'hey' load testing tool on macOS using Homebrew or on Linux systems with Go installed. Includes a fallback for systems without Go.

```bash
# macOS:
brew install hey

# Linux with Go:
go install github.com/rakyll/hey@latest

# Fallback (if no preferred tools):
# Use curl with bash-level concurrency via background processes and wait
```

--------------------------------

### POST /resource Response Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example JSON response for a successful POST /resource request, showing the created resource details.

```json
{
  "id": "124",
  "name": "My Resource",
  "description": "A test resource",
  "created_at": "2024-01-15T10:30:00Z"
}
```

--------------------------------

### Invoke Installed Skills

Source: https://context7.com/onewave-ai/claude-skills/llms.txt

Examples of how to invoke installed skills using their slash commands within Claude Code.

```bash
/agent-army
/code-review-pro
/deal-closer-playbook
/scout
```

--------------------------------

### LinkedIn Post Example: How-To/List

Source: https://github.com/onewave-ai/claude-skills/blob/main/social-selling-content-generator/SKILL.md

Example of a how-to or list post for LinkedIn. Provide practical, actionable advice that your audience can immediately apply. This format uses a hook, a numbered list of tips, and a question to encourage interaction.

```markdown
**Day 3 - Friday (How-To/List)**

🔥 **Hook**: 5 questions that qualify or disqualify a deal in the first call.

**Post**:
```
5 questions that qualify or disqualify a deal in the first call:

Most reps waste weeks on deals that were never going to close.

These questions save you time:

1. "What happens if you don't solve this problem?"
→ If answer is "nothing bad," disqualify.

2. "When did this become a priority?"
→ If "just exploring," not urgent. Deprioritize.

3. "Who else is affected by this problem?"
→ If "just me," too small. Need broader pain.

4. "What's your budget range for solving this?"
→ If "don't have one," they're not serious.

5. "Walk me through how you've bought similar tools before."
→ If "never bought anything," long shot.

Qualify hard. Qualify early.

Your pipeline will thank you.

Which question do you always ask?
```

**Why This Works**:
- Immediately useful (can apply today)
- Specific and tactical
- Addresses common pain (wasted time)
- Question generates discussion

```

--------------------------------

### Example Use Case: Competitive Review Analysis

Source: https://github.com/onewave-ai/claude-skills/blob/main/customer-review-aggregator/SKILL.md

An example of a user request for competitive review analysis.

```text
User: "Analyze our G2 reviews vs. Competitor A and Competitor B"

```

--------------------------------

### Install Claude Skills

Source: https://context7.com/onewave-ai/claude-skills/llms.txt

Use these commands to install a single skill or clone the entire library.

```bash
# Install a single skill
claude skill install OneWave-AI/claude-skills/<skill-name>

# Clone the full library
git clone https://github.com/OneWave-AI/claude-skills.git ~/.claude/skills
```

--------------------------------

### SQL Migration Script Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/database-schema-designer/SKILL.md

Provides an example of SQL migration scripts for creating a table and its indexes, including a commit statement. Use for managing database schema changes over time.

```sql
-- Migration: create_users_table
-- Date: 2024-01-15

BEGIN;

CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  email VARCHAR(255) NOT NULL UNIQUE,
  name VARCHAR(255) NOT NULL,
  password_hash VARCHAR(255) NOT NULL,
  created_at TIMESTAMP NOT NULL DEFAULT NOW(),
  updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);

CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_users_created_at ON users(created_at);

COMMIT;
```

--------------------------------

### Install a Single Claude Skill

Source: https://github.com/onewave-ai/claude-skills/blob/main/README.md

Use this command to install an individual skill from the Claude Skills Library. Ensure you have the Claude CLI installed.

```bash
claude skill install OneWave-AI/claude-skills/<skill-name>
```

--------------------------------

### Email #5: Resource Share Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/cold-email-sequence-generator/SKILL.md

An example of how to phrase the resource share in an email, highlighting specific content and benefits.

```text
I put together "The 2024 Sales Onboarding Playbook" after interviewing 50 VPs of Sales about what's working.

Includes:
✓ Onboarding timeline template
✓ Training curriculum framework
✓ Metrics to track
✓ Tools comparison

No forms, no gates—just helpful stuff: [link]
```

--------------------------------

### Data Transformation Examples

Source: https://github.com/onewave-ai/claude-skills/blob/main/database-migrator/SKILL.md

SQL examples demonstrating data transformations required during migration, such as converting boolean types, array formats, UUIDs, and timestamp time zones.

```sql
-- Example: PostgreSQL boolean to MySQL tinyint
-- In the INSERT or LOAD DATA statement:
-- Replace TRUE with 1, FALSE with 0
```

```sql
-- Example: PostgreSQL array to MySQL JSON
-- Transform: '{1,2,3}' becomes '[1,2,3]'
```

```sql
-- Example: PostgreSQL UUID to MySQL CHAR(36)
-- No transformation needed if stored as text
```

```sql
-- Example: PostgreSQL TIMESTAMP WITH TIME ZONE to MySQL DATETIME
-- Convert to UTC before export:
SET timezone = 'UTC';
COPY (SELECT id, created_at AT TIME ZONE 'UTC' AS created_at FROM table) TO STDOUT WITH CSV HEADER;
```

--------------------------------

### Good Call-to-Action Button Examples (React)

Source: https://github.com/onewave-ai/claude-skills/blob/main/landing-page-optimizer/SKILL.md

Demonstrates effective CTA button text and variations for different scenarios. Includes examples for adding urgency and reducing friction.

```tsx
// Good CTAs
<Button>Start Free Trial</Button>
<Button>Get Started Free</Button>
<Button>Try It Free for 14 Days</Button>
<Button>Book a Demo</Button>

// Add urgency/value
<Button>
  Get 50% Off Today
  <span className="text-sm opacity-75 block">Offer ends midnight</span>
</Button>

// Reduce friction
<div className="text-center">
  <Button size="lg">Start Free Trial</Button>
  <p className="text-sm text-gray-500 mt-2">
    No credit card required • Cancel anytime
  </p>
</div>
```

--------------------------------

### Agent Swarm Deployer: Aggregation Report Example

Source: https://context7.com/onewave-ai/claude-skills/llms.txt

Provides an example of an aggregation report generated after a swarm of agents has completed their tasks. It summarizes the overall processing status, including total items, successful, failed, and skipped counts, and indicates the creation of final output and failure files.

```text
# Aggregation report after all 25 agents complete:
# Total: 1,247 | Successful: 1,198 (96.1%) | Failed: 34 | Skipped: 15
# Retry agent handles failed 49 items with enhanced instructions
# Final output → leads-scored.json + failures.json
```

--------------------------------

### User Guide Markdown Format

Source: https://github.com/onewave-ai/claude-skills/blob/main/technical-writer/SKILL.md

Standard structure for user-facing documentation, including overview, prerequisites, getting started, key concepts, common tasks, advanced features, troubleshooting, FAQ, and additional resources.

```markdown
# [Product/Feature Name]

## Overview
[What it is, what it does, why use it - 2-3 sentences]

## Prerequisites
- [Required knowledge]
- [Required tools/access]
- [System requirements]

## Getting Started
[Quick start guide with minimal steps to first success]

### Step 1: [Action]
[Detailed instructions with screenshots/code]

### Step 2: [Action]
[Detailed instructions]

## Key Concepts
### [Concept 1]
[Explanation with examples]

## Common Tasks
### How to [Task]
1. [Step]
2. [Step]
3. [Expected result]

## Advanced Features
[Optional advanced functionality]

## Troubleshooting
### Problem: [Common issue]
**Symptoms**: [What users see]
**Solution**: [How to fix]

## FAQ
**Q: [Question]**
A: [Answer]

## Additional Resources
- [Link to related docs]
- [Support channels]

```

--------------------------------

### Documentation Chain Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/scout-pro/SKILL.md

Illustrates a chain for creating complete documentation for a product or API, from writing to knowledge base construction.

```shell
/api-documentation-writer -> /technical-writer -> /knowledge-base-builder -> /flashcard-generator
```

--------------------------------

### Python Requests Library Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example of making a GET request to the resource endpoint using the requests library in Python.

```python
import requests

response = requests.get(
  'https://api.example.com/v1/resource',
  headers={'Authorization': 'Bearer YOUR_API_KEY'}
)
data = response.json()
```

--------------------------------

### Product Launch Chain Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/scout-pro/SKILL.md

Outlines a chain for generating marketing collateral for new product launches, covering landing pages, emails, and social media content.

```shell
/landing-page-copywriter -> /seo-optimizer -> /email-template-generator -> /social-selling-content-generator -> /utm-parameter-generator
```

--------------------------------

### Example .env.example Template

Source: https://github.com/onewave-ai/claude-skills/blob/main/env-setup-wizard/SKILL.md

A template file for environment variables, including application, database, authentication, third-party APIs, and storage configurations. This file should be committed to git.

```bash
# ===================
# Application
# ===================
NODE_ENV=development
APP_URL=http://localhost:3000
PORT=3000

# ===================
# Database
# ===================
DATABASE_URL=postgresql://user:password@localhost:5432/dbname

# ===================
# Authentication
# ===================
# Generate with: openssl rand -base64 32
JWT_SECRET=
NEXTAUTH_SECRET=
NEXTAUTH_URL=http://localhost:3000

# ===================
# Third-party APIs
# ===================
# Get from: https://stripe.com/dashboard
STRIPE_SECRET_KEY=
STRIPE_PUBLISHABLE_KEY=
STRIPE_WEBHOOK_SECRET=

# Get from: https://resend.com
RESEND_API_KEY=

# ===================
# Storage
# ===================
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_REGION=us-east-1
S3_BUCKET_NAME=
```

--------------------------------

### JavaScript Fetch API Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/api-documentation-writer/SKILL.md

Example of making a GET request to the resource endpoint using the Fetch API in JavaScript (Node.js).

```javascript
const response = await fetch('https://api.example.com/v1/resource', {
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY'
  }
});
const data = await response.json();
```

--------------------------------

### API Route Testing

Source: https://github.com/onewave-ai/claude-skills/blob/main/test-coverage-improver/SKILL.md

Example of testing an API route handler using node-mocks-http. This snippet tests a GET request to '/api/users'.

```typescript
import { createMocks } from 'node-mocks-http';
import handler from './api/users';

describe('GET /api/users', () => {
  it('should return users list', async () => {
    const { req, res } = createMocks({ method: 'GET' });

    await handler(req, res);

    expect(res._getStatusCode()).toBe(200);
    expect(JSON.parse(res._getData())).toHaveProperty('users');
  });
});
```

--------------------------------

### Tutorial Markdown Format

Source: https://github.com/onewave-ai/claude-skills/blob/main/technical-writer/SKILL.md

Template for creating step-by-step tutorials, including learning objectives, prerequisites, detailed instructions with code examples, expected output, verification, next steps, and troubleshooting.

```markdown
# How to [Accomplish Goal]

**Time required**: [X minutes]
**Difficulty**: [Beginner/Intermediate/Advanced]

## What You'll Learn
- [Learning objective 1]
- [Learning objective 2]

## Prerequisites
- [Required knowledge]
- [Tools needed]

## Step-by-Step Instructions

### 1. [First Major Step]
[Explanation of why this step matters]

```[language]
[Code example]
```

**Expected output**:
```
[What users should see]
```

### 2. [Next Major Step]
[Continue pattern]

## Verification
[How to confirm it worked]

## Next Steps
[What to learn next]

## Troubleshooting
[Common issues]

```

--------------------------------

### Inspect Workflow Command

Source: https://github.com/onewave-ai/claude-skills/blob/main/sub-agent-orchestrator/SKILL.md

Example of using the inspect command to get a human-readable explanation, execution graph, and agent list for a given workflow.

```shell
"Explain the lead-scoring workflow"
```

--------------------------------

### A/B Testing Strategy: Sample Test

Source: https://github.com/onewave-ai/claude-skills/blob/main/cold-email-sequence-generator/SKILL.md

An example of an A/B test setup for an email campaign. This outlines how to test different subject lines and email body variations to optimize performance.

```text
Email 1 Test:
- Version A: Curiosity subject + short email (50 words) + question CTA
- Version B: Value subject + medium email (100 words) + meeting time CTA

Send to 100 prospects: 50 get A, 50 get B
Wait 48 hours, measure open and reply rates
Winner goes to remaining list
```

--------------------------------

### Minimal 2-Agent Pipeline Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/agent-to-agent/SKILL.md

Illustrates a basic two-agent pipeline workflow for a user request. It details the Coordinator's steps from initialization to final output delivery.

```text
User: "Research the top 5 AI frameworks and write a comparison article."

You (Coordinator):
1. Create .a2a-context.json
2. Register: researcher, writer
3. Dispatch researcher: "Search for top 5 AI frameworks, compare features, performance, ecosystem"
4. Read researcher's findings from shared context
5. Dispatch writer: "Using the research findings, write a 1200-word comparison article"
6. Read writer's draft from shared context
7. Present the final article to the user
```

--------------------------------

### Fix Command Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/runbook-generator/SKILL.md

An example of a command used to resolve an issue.

```bash
# fix command
```

--------------------------------

### A2A Skill Initialization Procedure

Source: https://github.com/onewave-ai/claude-skills/blob/main/agent-to-agent/SKILL.md

Details the startup sequence for the A2A skill, including determining the working directory, checking/creating the context file, and user interaction for task definition.

```text
1. Determine working directory (use current project root)
2. Check if .a2a-context.json already exists
   - If YES: Read it, display current state (agents registered, active tasks)
   - If NO: Create a fresh context file with the base schema
3. Ask the user (or infer from their request):
   - What agents are needed?
   - What is the high-level task?
   - What communication pattern fits? (pipeline, fan-out, supervisor, etc.)
```

--------------------------------

### Diagnostic Command Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/runbook-generator/SKILL.md

An example of a diagnostic command used for troubleshooting.

```bash
# diagnostic command
```

--------------------------------

### System Resource Overview (Bash)

Source: https://github.com/onewave-ai/claude-skills/blob/main/incident-responder/SKILL.md

Get a snapshot of CPU and memory usage. The `top` command provides a dynamic view, and `-bn1` captures a single non-interactive batch output.

```bash
top -bn1 | head -20
```

--------------------------------

### Competitive Intelligence Chain Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/scout-pro/SKILL.md

Demonstrates a chain for comprehensive competitive landscape analysis, including content, pricing, and signal synthesis.

```shell
/competitor-content-analyzer -> /competitor-price-tracker -> /weak-signal-synthesizer -> /executive-dashboard-generator
```

--------------------------------

### Agent Swarm Deployer: Data Pre-splitting and Agent Brief

Source: https://context7.com/onewave-ai/claude-skills/llms.txt

Demonstrates pre-processing steps for large datasets before deploying an agent swarm, including splitting a CSV file into smaller batches. It also shows a template for an agent's brief, outlining its task, input data, output schema, and expected format.

```bash
# Step 0: Pre-split a large CSV before deploying
head -1 leads.csv > header.csv
tail -n +2 leads.csv | split -l 50 - batch_
for f in batch_*; do cat header.csv "$f" > "batches/${f}.csv" && rm "$f"; done
```

```text
# Agent brief template sent to each swarm agent (example: lead scoring)
# ----------------------------------------------------------------
You are swarm-agent-03, processing batch 3 of 25 in a lead-scoring swarm.

## Your Task
Score each lead 1-100 based on ICP fit: company size (50-500 employees),
industry (SaaS/FinTech), title seniority (VP+), and tech stack alignment.

## Input Data
[50 lead records from batches/batch_03.csv]

## Output Schema
{
  "lead_id": "string",
  "score": "integer (1-100)",
  "icp_match": { "company_size": bool, "industry": bool, "title": bool },
  "buying_signals": "string[]",
  "recommended_action": "hot | warm | nurture | disqualify",
  "processing_status": "success | failed | skipped"
}

## Output Format
Return JSON: { "agentId": "swarm-agent-03", "batchRange": "101-150",
  "totalProcessed": 50, "totalSuccess": 48, "totalFailed": 2,
  "results": [...], "errors": [...] }
# ----------------------------------------------------------------
```

--------------------------------

### Discover Source Files with Glob

Source: https://github.com/onewave-ai/claude-skills/blob/main/full-codebase-migrator/SKILL.md

Provides example Glob patterns for discovering source files based on migration type, and lists common directories and files to exclude.

```bash
Use Glob to find all relevant source files. Typical patterns by migration type:

JS to TS:        **/*.{js,jsx,mjs,cjs}
React migration:  **/*.{js,jsx,ts,tsx}
Vue migration:    **/*.{vue,js,ts}
Angular:          **/*.{ts,html,scss,css}
General:          **/*.{js,jsx,ts,tsx,vue,svelte,css,scss,json,yaml,yml,md}

Always exclude:
- node_modules/**
- dist/**
- build/**
- .next/**
- coverage/**
- *.min.js
- *.bundle.js
- package-lock.json
- yarn.lock
- pnpm-lock.yaml
```

--------------------------------

### Campaign Naming Pattern Examples

Source: https://github.com/onewave-ai/claude-skills/blob/main/utm-link-generator/SKILL.md

Examples of campaign names following the specified pattern, including date prefixes and optional variants.

```text
q1-2026-product-launch
2026-03-spring-webinar
q2-2026-brand-awareness-linkedin
evergreen-demo-request
```

--------------------------------

### View Image Build History

Source: https://github.com/onewave-ai/claude-skills/blob/main/docker-debugger/SKILL.md

Examine the layers and commands used to build a Docker image.

```bash
# View build history
docker history <image_name>
```

--------------------------------

### Intake Report Example

Source: https://github.com/onewave-ai/claude-skills/blob/main/agent-swarm-deployer/SKILL.md

An example intake report summarizing the data source, item count, format, structure, and token estimates.

```markdown
## Intake Report
- Data source: /path/to/data/ (or inline, or CSV)
- Total items found: 1,247
- Item format: JSON files, avg 2KB each
- Sample item structure: { name, email, company, title, linkedin_url }
- Estimated tokens per item: ~500
- Total estimated tokens: ~623,500
```

--------------------------------

### Database Recovery Procedure

Source: https://github.com/onewave-ai/claude-skills/blob/main/runbook-generator/SKILL.md

Step-by-step instructions for restoring a database from backup.

```bash
# Step-by-step database restore from backup
```

--------------------------------

### Execution Flow Overview

Source: https://github.com/onewave-ai/claude-skills/blob/main/gmail-to-crm-pipeline/SKILL.md

This outlines the sequential steps the skill follows during execution, from connecting to services to reporting pipeline status.

```text
1. CONNECT
   |-- Verify Gmail MCP Connector is available
   |-- Verify Supabase MCP Connector is available
   |-- Check if CRM tables exist (create if first run)
   |-- Load ICP config from pipeline_config table
   |
2. SEARCH
   |-- Execute all 5 Gmail search queries
   |-- Collect unique message IDs
   |-- Report: "Found [N] potential lead emails"
   |
3. PROCESS (for each email)
   |-- Read full message content
   |-- Extract lead profile
   |-- Score on ICP + Intent + Urgency
   |-- Apply score adjustments
   |-- Determine qualification tier
   |-- Report: "[Name] from [Company] -- Score: [X] ([Tier])"
   |
4. RESPOND (for qualified leads, score >= 25)
   |-- Select response template based on tier
   |-- Draft personalized response
   |-- Create draft in Gmail (DO NOT SEND)
   |-- Report: "Draft created for [Name]"
   |
5. LOG
   |-- Check for duplicates in Supabase
   |-- Insert/update lead record
   |-- Log all activities
   |-- Set next actions
   |-- Report: "Logged [N] leads to CRM"
   |
6. REPORT
   |-- Query pipeline snapshot from Supabase
   |-- Generate lead-pipeline-report.md
   |-- Display executive summary to user
   |-- Report: "Pipeline report saved"
```