### Project Setup and Server Start

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/local-places

Installs dependencies and starts the local development server. Requires GOOGLE_PLACES_API_KEY to be set in a .env file.

```bash
cd {baseDir}
echo "GOOGLE_PLACES_API_KEY=your-key" > .env
uv venv && uv pip install -e ".[dev]"
uv run --env-file .env uvicorn local_places.main:app --host 127.0.0.1 --port 8000
```

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

### Manual Configuration Setup

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/web-search-plus

Manually copy the example configuration file and add your API keys. This is an alternative to the interactive setup.

```bash
# Or manual: copy config and add your keys
cp config.example.json config.json
```

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

### Run AppArmor Quickstart Command

Source: https://clawhub.ai/kn75xfx77qg22he2nw6wa5p64d82nvgx/apparmor

Execute this command for a getting started guide on AppArmor. This is useful for new users or when setting up AppArmor for the first time.

```shell
scripts/script.sh quickstart
```

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

### jq Installation Example for Homebrew

Source: https://clawhub.ai/kn77fv9851hjcqe52zqx0bhhbx7z680h/streaming-buddy

Provides instructions for installing the 'jq' utility using Homebrew.

```yaml
install:
  - id: "jq"
    kind: "brew"
    formula: "jq"
    bins: ["jq"]
    label: "Install jq (brew)"
```

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

### Install Plugin via Setup Flow

Source: https://clawhub.ai/kn7acew66bsj3ef4fmc64ab2px7zzf7b/swarm-layer

Standard commands for installing the plugin and verifying its status.

```bash
openclaw plugins install clawhub:openclaw-swarm-layer   # Published package
openclaw plugins install -l /path/to/openclaw-swarm-layer
openclaw plugins info openclaw-swarm-layer   # Should show Status: loaded
```

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

### jq Installation Example for Node.js Wrapper

Source: https://clawhub.ai/kn77fv9851hjcqe52zqx0bhhbx7z680h/streaming-buddy

Provides instructions for installing the 'jq' utility via a Node.js wrapper.

```yaml
install:
  - id: "jq-node"
    kind: "node"
    package: "node-jq"
    bins: ["jq"]
    label: "Install jq (node wrapper)"
```

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

### Start Demo Backend

Source: https://clawhub.ai/plugins/stablepay-openclaw-plugin

Navigate to the demo backend directory and install dependencies, then start the server. This is required before running the paid skill demo in OpenClaw.

```bash
cd showmethemoney-skill/demo-backend
npm install && npm start
```

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

### Install and Start Browserbase Dev Server

Source: https://clawhub.ai/kn7ccvk3zbxj1yzzsxne9tfayn801hks/functions

Install the Browserbase SDK using pnpm or run the dev server directly with npx. Ensure the SDK is installed before starting the development server.

```bash
# Make sure SDK is installed
pnpm add @browserbasehq/sdk-functions
```

```bash
# Or use npx
npx @browserbasehq/sdk-functions dev index.ts
```

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

### Interactive Setup Script

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/web-search-plus

Run this script for an interactive setup process. It guides you through configuring providers and API keys.

```bash
# Interactive setup (recommended for first run)
python3 scripts/setup.py
```

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

### Quick Start Setup

Source: https://clawhub.ai/kn71y3mdbcx5dyhwxv1t7sm82x81a168/mlops-automation-cn

A consolidated set of commands to quickly set up the task runner, CI workflow, and Dockerfile in your local project directory. Includes commands to run local tests.

```bash
# Setup task runner
cp references/justfile ./

# Setup CI
mkdir -p .github/workflows
cp references/ci-workflow.yml .github/workflows/ci.yml

# Setup Docker
cp references/Dockerfile .

# Test locally
just check
docker build -t test .

```

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

### Install License Skill

Source: https://clawhub.ai/plugins/LICENSE

Use this command to install the License skill. No additional setup or credentials are required.

```bash
openclaw skills install license
```

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

### Manual Installation Steps

Source: https://clawhub.ai/kn766g3fzj7qdcqppg4433krw981sxyc/post-job

Provides steps for manually installing the skill by cloning the repository and installing dependencies.

```bash
# Clone or download the skill
cd your-openclaw-workspace/skills

# Install dependencies
cd post-job
npm install
```

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

### Quick Start TypeScript Example

Source: https://clawhub.ai/kn7ewywaj7mf48drbjw1baa5298016yv/package-seo

Minimal boilerplate for initializing the package in a TypeScript environment.

```typescript
// Minimal working example
```

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

### Setup the CLI environment

Source: https://clawhub.ai/kn760y85p4bjyw12a2wwmbfkr9808prz/undetectable-ai

Install the necessary dependencies to run the TypeScript scripts.

```bash
cd scripts && npm install
```

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

### Manual Plugin Installation

Source: https://clawhub.ai/plugins/acwilan-draw-things

Clone the repository, install dependencies, build the project, and install the local directory as a plugin.

```bash
git clone https://github.com/acwilan/openclaw-draw-things.git
cd openclaw-draw-things
npm install
npm run build
openclaw plugins install "$(pwd)"
```

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

### Quick Start Sag Commands

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/sag

Basic usage examples for generating speech, listing voices, and viewing model tips.

```bash
sag "Hello there"
sag speak -v "Roger" "Hello"
sag voices
sag prompting
```

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

### Initialize Supabase Authentication

Source: https://clawhub.ai/kn7a3xe57dnqxgg5kfp78twfj98022a5/supabase-query

Use this command to start the interactive Supabase authentication setup.

```bash
python3 {baseDir}/scripts/supabase.py auth
```

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

### Run Examples Command

Source: https://clawhub.ai/kn75xfx77qg22he2nw6wa5p64d82nvgx/kaizen

Execute the 'examples' command to view real-world Kaizen event examples and their results. This is a shell command.

```shell
scripts/script.sh examples
```

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

### Run Setup Wizard

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/elevenlabs-voices

Execute the interactive setup script to configure API keys, voices, and preferences.

```bash
python3 scripts/setup.py
```

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

### Code Search with Specific Token Limit

Source: https://clawhub.ai/kn79zcx54a6x6bdrmsavyvj9cd7zytts/code-docs-search-exa

Retrieve a larger amount of context for complex queries by specifying a `tokensNum`. This is useful for detailed setup guides or comprehensive examples.

```shell
get_code_context_exa {
  "query": "Current Next.js app router with TypeScript setup",
  "tokensNum": 8000
}
```

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

### Quickstart Commands

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/peekaboo

Basic commands to verify permissions, list applications, capture screens, and perform simple interactions.

```bash
peekaboo permissions
peekaboo list apps --json
peekaboo see --annotate --path /tmp/peekaboo-see.png
peekaboo click --on B1
peekaboo type "Hello" --return
```

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

### Run Setup Wizard

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/sports-ticker

Launches the interactive configuration wizard to set up team tracking and alert preferences.

```bash
python3 scripts/setup.py
```

```bash
python3 scripts/setup.py --force  # Overwrites existing config
```

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

### Run First-Time Setup Script

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/agent-chronicle

Executes the initial setup for the project. Use the --check flag to verify if setup is needed without running it.

```bash
# Run first-time setup
python3 scripts/setup.py

# Check if setup needed (for automation)
python3 scripts/setup.py --check
```

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

### Get Site by Hostname and Path

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/sharepoint

Retrieves a SharePoint site using its hostname and path. Example: GET /sharepoint/v1.0/sites/contoso.sharepoint.com:/sites/marketing

```http
GET /sharepoint/v1.0/sites/{hostname}:/{site-path}
```

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

### Foodora Quick Start Commands

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/ordercli

Basic commands to get started with Foodora using ordercli, including configuration and viewing orders.

```bash
ordercli foodora countries
```

```bash
ordercli foodora config set --country AT
```

```bash
ordercli foodora login --email you@example.com --password-stdin
```

```bash
ordercli foodora orders
```

```bash
ordercli foodora history --limit 20
```

```bash
ordercli foodora history show <orderCode>
```

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

### PDF Text Extraction Example

Source: https://clawhub.ai/kn7ajm25k9s5t1ajwxp2yfjx818015pb/skill-creator

Use pdfplumber to extract text from PDF files. This is a basic example for quick start functionality.

```markdown
# PDF Processing

## Quick start

Extract text with pdfplumber:
[code example]
```

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

### Location Headers Example

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/brave-search-api

Example of including location headers in a Python request to get location-aware search results. Ensure MATON_API_KEY is set.

```Python
import urllib.request, os, json
req = urllib.request.Request('https://gateway.maton.ai/brave-search/res/v1/web/search?q=restaurants+near+me&count=10')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('x-loc-lat', '37.7749')
req.add_header('x-loc-long', '-122.4194')
req.add_header('x-loc-city', 'San Francisco')
req.add_header('x-loc-state', 'CA')
req.add_header('x-loc-country', 'US')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
```

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

### Create Workflow Brief

Source: https://clawhub.ai/plugins/openclaw-shortdrama-plugin

Sets up the required directory and creates a sample brief file for the workflow.

```bash
mkdir -p workflow/runtime
printf '%s\n' 'A healing rainy-night story about a girl and a cat.' > workflow/runtime/current_brief.txt
```

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

### Mem0 AI Installation and API Key Setup

Source: https://clawhub.ai/kn7ewywaj7mf48drbjw1baa5298016yv/elite-longterm-memory

Instructions for installing the Mem0 AI package via npm and setting the required API key.

```shell
npm install mem0ai
export MEM0_API_KEY="your-key"
```

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

### Get Item by Path

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/sharepoint

Retrieves a file or folder from a drive using its path relative to the root. Example: GET /sharepoint/v1.0/drives/{drive_id}/root:/Reports/Q1.xlsx

```http
GET /sharepoint/v1.0/drives/{drive_id}/root:/{path}
```

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

### Create Site and Set Environment Variable

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/netlify-api

Demonstrates creating a new site and configuring an environment variable for it.

```python
import os
import requests

headers = {'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}

# Create site
site = requests.post(
    'https://gateway.maton.ai/netlify/api/v1/my-account/sites',
    headers=headers,
    json={'name': 'my-new-site'}
).json()

# Add environment variable
requests.post(
    f'https://gateway.maton.ai/netlify/api/v1/accounts/{site["account_id"]}/env',
    headers=headers,
    params={'site_id': site['id']},
    json=[{'key': 'API_KEY', 'values': [{'value': 'secret', 'context': 'all'}]}]
)
```

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

### Quick start commands

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/mcporter

Basic commands for listing servers and calling tools.

```bash
mcporter list
```

```bash
mcporter list <server> --schema
```

```bash
mcporter call <server.tool> key=value
```

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

### Setup Hue Bridge Connection

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/openhue

Initiate the guided setup process for connecting to a Hue Bridge. You may need to press the physical button on the bridge during this process.

```bash
openhue setup
```

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

### Quick Start Initialization

Source: https://clawhub.ai/kn72dv4fm7ss7swbq47nnpad9x7zy2jh/ontology

Commands to initialize storage, append schema, and perform basic operations.

```bash
# Initialize ontology storage
mkdir -p memory/ontology
touch memory/ontology/graph.jsonl

# Create schema (optional but recommended)
python3 scripts/ontology.py schema-append --data '{
  "types": {
    "Task": { "required": ["title", "status"] },
    "Project": { "required": ["name"] },
    "Person": { "required": ["name"] }
  }
}'

# Start using
python3 scripts/ontology.py create --type Person --props '{"name":"Alice"}'
python3 scripts/ontology.py list --type Person
```

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

### Automation ROI Example Calculation

Source: https://clawhub.ai/jk-0001/automation-workflows

An example demonstrating the ROI calculation for manually copying form submissions to a CRM. It shows how to calculate time saved, setup cost, and tool cost to determine the payback period and justify the automation.

```plaintext
Task: Manually copying form submissions to CRM (15 min, 20x/month = 5 hours/month saved)
Setup time: 1 hour
Tool cost: $20/month (Zapier)
Payback: ($50 setup cost) / ($250/month value saved) = 0.2 months → Absolutely worth it
```

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

### PDF Processing Quick Start Example

Source: https://clawhub.ai/chindden/skill-creator

This example shows how to extract text from a PDF using the pdfplumber library. It's a basic usage pattern for PDF processing.

```python
# Extract text with pdfplumber
import pdfplumber

with pdfplumber.open("sample.pdf") as pdf:
    text = pdf.pages[0].extract_text()
    print(text)
```

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

### Full Configuration Example

Source: https://clawhub.ai/jrbobbyhansen-pixel/memory-setup

A complete JSON configuration object for the memorySearch and workspace settings.

```json
{
  "memorySearch": {
    "enabled": true,
    "provider": "voyage",
    "sources": ["memory", "sessions"],
    "indexMode": "hot",
    "minScore": 0.3,
    "maxResults": 20
  },
  "workspace": "/path/to/your/workspace"
}
```

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

### Local Development with Bindings

Source: https://clawhub.ai/kn7bxdhae07mn5rkhw363hyen17ymt5m/wrangler

Starts a local development server with simulated D1, KV, and R2 bindings for testing.

```bash
wrangler dev --local
```

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

### Install memsearch from Source

Source: https://clawhub.ai/plugins/memsearch

Development installation method for local plugin testing.

```bash
# 1. Install memsearch
uv tool install "memsearch[onnx]"

# 2. Clone the repo and install the plugin
git clone https://github.com/zilliztech/memsearch.git
cd memsearch
openclaw plugins install ./plugins/openclaw

# 3. Restart the gateway
openclaw gateway restart
```

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

### Admapix API Request Examples

Source: https://clawhub.ai/kn7c1c01gzrc3m423t8n840m9s81vj6m/admapix

Examples demonstrating how to make GET and POST requests to the Admapix API using curl. Ensure you have your API key set in the ADMAPIX_API_KEY environment variable.

```bash
# GET
curl -s "https://api.admapix.com/api/data/{endpoint}?{params}" \
  -H "X-API-Key: $ADMAPIX_API_KEY"

```

```bash
# POST
curl -s -X POST "https://api.admapix.com/api/data/{endpoint}" \
  -H "X-API-Key: $ADMAPIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{...}'

```

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

### Configure CellCog Desktop App

Source: https://clawhub.ai/kn7a96cj9q65e0bhmzahv790en80ffqm/cowork-cog

Set the API key and start the desktop application after installation.

```bash
cellcog-desktop --set-api-key <CELLCOG_API_KEY>
cellcog-desktop --start
```

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

### Linux Installation and Path Configuration

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/gog

Manual installation steps for Linux environments and troubleshooting path issues.

```bash
curl -fsSL https://api.github.com/repos/steipete/gogcli/releases/latest \
 | grep browser_download_url \
 | grep linux_amd64
```

```bash
cd /tmp
curl -fsSL -o gogcli.tgz "<URL>"
tar -xzf gogcli.tgz
sudo install -m 0755 gog /usr/local/bin/gog
```

```bash
openclaw skills list | grep -n "gog" -A2
```

```bash
export PATH=$PATH://home/linuxbrew/.linuxbrew/bin/gog
```

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

### AI-Assisted Setup Prompts

Source: https://clawhub.ai/plugins/loom-claw

Prompts to automate the installation process using an AI agent or Claude Code.

```text
Read https://github.com/TeamEcho-AI/Loom/blob/main/skills/loom-setup/SKILL.md and follow it to install and configure Loom for OpenClaw. When done, summarize what you can do.
```

```bash
claude skill install ./skills/loom-setup
```

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

### Configuration File Example

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/web-search-plus

A sample JSON configuration file showing various settings for auto-routing and individual providers.

```json
{
  "auto_routing": {
    "enabled": true,
    "fallback_provider": "serper",
    "confidence_threshold": 0.3,
    "disabled_providers": []
  },
  "serper": {"country": "us", "language": "en"},
  "tavily": {"depth": "advanced"},
  "exa": {"type": "neural"},
  "you": {"country": "US", "include_news": true},
  "searxng": {"instance_url": "https://your-instance.example.com"}
}
```

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

### AI Agent Workflow Example

Source: https://clawhub.ai/kn71fxj97n86164tdd84bymp3n7zypxq/spotify-cli

Demonstrates a recommended workflow for AI agents using the Spotify CLI, emphasizing searching before playing to ensure accuracy.

```bash
# User asks: "play voice actor u projected 2"

# Step 1: Search first
spotify search "voice actor u projected 2"
# Results show: "U Projected 2 - Voice Actor, Yarrow.co"

# Step 2: Confirm with user that this is the right song

# Step 3: Play with exact match
spotify play "U Projected 2 Voice Actor"
```

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

### Get Next Page of Meetings

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/zoom-api

Example of how to retrieve the next page of meeting results by including the `next_page_token` in the request.

```HTTP
GET /zoom/v2/users/me/meetings?page_size=50&next_page_token=Tva2CuIdTgsv8wAnhyAdU3m06Y2HuLQtlh3
```

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

### Authentication Setup

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/gog

Initial configuration steps required to authorize the CLI with Google services.

```bash
gog auth credentials /path/to/client_secret.json
```

```bash
gog auth add you@gmail.com --services gmail,calendar,drive,contacts,sheets,docs
```

```bash
gog auth list
```

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

### Get Meetings with Pagination

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/zoom-api

Example of requesting meetings with a specified page size. The response includes pagination information.

```HTTP
GET /zoom/v2/users/me/meetings?page_size=50
```

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

### Start work and onboarding

Source: https://clawhub.ai/plugins/dwemr

Initiate a new task or respond to clarification requests during the onboarding process.

```bash
/dwemr start Build me a simple calculator app
/dwemr start 1: personal calculator 2A 3A 4B 5A 6A 7A
```

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

### Clawic CLI Memory Structure Example

Source: https://clawhub.ai/kn73vp5rarc3b14rc7wjcw8f8580t5d1/clawic

Illustrates the directory structure for Clawic CLI's local memory, including files for defaults, installed packages, and query history. This structure helps manage skill installations and configurations.

```tree
~/clawic/
├── memory.md    # Stable defaults: runtime choice, install roots, review posture
├── installs.md  # Installed slugs, target dirs, and overwrite notes
└── queries.md   # Query phrases that surface the right skills reliably
```

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

### Pagination Request Example

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/wrike-api

Shows how to use the 'pageToken' parameter in a GET request to retrieve the next set of paginated results.

```http
GET /wrike/api/v4/timelogs?pageToken={nextPageToken}
```

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

### Initialize Learning Directories and Files

Source: https://clawhub.ai/kn70cjr952qdec1nx70zs6wefn7ynq2t/self-improving-agent

Creates the .learnings directory and essential markdown files if they do not already exist. This is a safe, idempotent operation.

```bash
mkdir -p .learnings
[ -f .learnings/LEARNINGS.md ] || printf "# Learnings\n\nCorrections, insights, and knowledge gaps captured during development.\n\n**Categories**: correction | insight | knowledge_gap | best_practice\n\n---\n" > .learnings/LEARNINGS.md
[ -f .learnings/ERRORS.md ] || printf "# Errors\n\nCommand failures and integration errors.\n\n---\n" > .learnings/ERRORS.md
[ -f .learnings/FEATURE_REQUESTS.md ] || printf "# Feature Requests\n\nCapabilities requested by the user.\n\n---\n" > .learnings/FEATURE_REQUESTS.md
```

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

### SaaS Automation Tool Onboarding Example

Source: https://clawhub.ai/kn732qfbv22he1jqm63xbwq6e980kn8s/customer-onboarding-2

A practical application of the onboarding journey template for a SaaS automation tool.

```text
SIGNUP → Email confirmation

SETUP → Connect first data source (e.g., Google Sheets)
  Friction: Don't know which source to start with
  Solution: Pre-select most common source, add "why start here?" tooltip

FIRST VALUE MOMENT → See automated workflow run successfully
  Friction: Don't know what workflow to build
  Solution: Provide 3 templates, one-click to activate

ACTIVATION → Run 10 workflows successfully
  Friction: Forget to check back after first success
  Solution: Email reminder after 24 hours with progress + next step

ONGOING ENGAGEMENT → Use weekly, add more workflows
```

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

### Quick Start and Team Discovery

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/sports-ticker

Commands for initial setup and finding specific team IDs across different sports.

```bash
# First time? Just run setup!
python3 scripts/setup.py  # Interactive wizard

# Find team IDs (any sport)
python3 scripts/setup.py find "Lakers" basketball
python3 scripts/setup.py find "Chiefs" football
python3 scripts/setup.py find "Barcelona" soccer

# Test
python3 scripts/ticker.py
```

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

### Installation

Source: https://clawhub.ai/kn7amrtkn0tjk2r2yxf3hjgp0s7zn6g4/agent-browser-clawdbot

Commands to install the CLI and required browser dependencies.

```bash
npm install -g agent-browser
agent-browser install                     # Download Chromium
agent-browser install --with-deps         # Linux: + system deps
```

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

### Initialize a New Project

Source: https://clawhub.ai/kn75xfx77qg22he2nw6wa5p64d82nvgx/proj-builder

Scaffolds a new project directory based on a selected template.

```bash
$ bash script.sh init python my-project

🏗  Scaffolding: python → my-project/
──────────────────────────────────────
  ✅ my-project/src/my_project/__init__.py
  ✅ my-project/src/my_project/main.py
  ✅ my-project/tests/__init__.py
  ✅ my-project/tests/test_main.py
  ✅ my-project/pyproject.toml
  ✅ my-project/README.md
  ✅ my-project/.gitignore

✨ Done! Next steps:
  cd my-project
  python3 -m venv venv && source venv/bin/activate
  pip install -e .
```

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

### List Wrike Spaces

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/wrike-api

This is an HTTP GET request to list all spaces in Wrike. No specific setup is required beyond having a valid Wrike connection.

```http
GET /wrike/api/v4/spaces
```

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

### Initialize New Worker with Wrangler

Source: https://clawhub.ai/kn7bxdhae07mn5rkhw363hyen17ymt5m/wrangler

Use this command to start a new Cloudflare Worker project. Ensure Node.js v20+ is installed and Wrangler is set up.

```bash
wrangler init <name>
```

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

### File Conversion Examples

Source: https://clawhub.ai/kn70pywhg0fyz996kpa8xj89s57yhv26/markdown-converter

Practical examples for converting specific document types and handling stdin with file type hints.

```bash
# Convert Word document
uvx markitdown report.docx -o report.md

# Convert Excel spreadsheet
uvx markitdown data.xlsx > data.md

# Convert PowerPoint presentation
uvx markitdown slides.pptx -o slides.md

# Convert with file type hint (for stdin)
cat document | uvx markitdown -x .pdf > output.md
```

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

### Fetch Time Entries (Python)

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/toggl-track

Python example using the `requests` library to get time entries. Ensure your API key is set as an environment variable.

```python
import os
import requests

response = requests.get(
    'https://gateway.maton.ai/toggl-track/api/v9/me/time_entries',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}
)
time_entries = response.json()
```

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

### Pagination Example

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/stripe-api

Demonstrates cursor-based pagination using starting_after.

```http
GET /stripe/v1/customers?limit=10&starting_after=cus_XXX
```

```json
{
  "object": "list",
  "data": [...],
  "has_more": true,
  "url": "/v1/customers"
}
```

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

### Python Summarizer Example

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/brave-search-api

Demonstrates fetching a summary by first obtaining a summarizer key from a web search and then using that key to get the summary. Requires MATON_API_KEY.

```Python
import urllib.request, os, json

# Step 1: Get summarizer key from web search
req = urllib.request.Request('https://gateway.maton.ai/brave-search/res/v1/web/search?q=what+is+python&summary=1')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
data = json.load(urllib.request.urlopen(req))
summarizer_key = data.get('summarizer', {}).get('key')

# Step 2: Fetch summary using the key
if summarizer_key:
    req = urllib.request.Request(f'https://gateway.maton.ai/brave-search/res/v1/summarizer/search?key={summarizer_key}')
    req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
    print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
```

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

### Fetch Workspaces (Python)

Source: https://clawhub.ai/kn75240wq8bnv2qm2xgry748jd80b9r0/clockify

Example using Python's requests library to get workspaces. Authentication is handled via an API key in the Authorization header.

```Python
import os
import requests

response = requests.get(
    'https://gateway.maton.ai/clockify/api/v1/workspaces',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}
)
workspaces = response.json()
```

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

### Initialize a DWEMR project

Source: https://clawhub.ai/plugins/dwemr

Creates a new project directory and installs the required bootstrap assets.

```bash
/dwemr init /absolute/path/to/my-project
```

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

### Discord Bot Integration Example

Source: https://clawhub.ai/kn7ewywaj7mf48drbjw1baa5298016yv/prism-alerts

Basic structure for a Discord bot using discord.js to initialize and start polling for Pump.fun token data when the bot is ready.

```javascript
import { Client } from 'discord.js';

client.on('ready', () => {
  pollPumpfun(client);
});
```

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

### Quick Example of Browser Automation

Source: https://clawhub.ai/kn7ccvk3zbxj1yzzsxne9tfayn801hks/browser-automation

A concise example demonstrating a typical workflow: navigating to a URL, performing an action, extracting data, and closing the browser.

```bash
browser navigate https://example.com
browser act "click the Sign In button"
browser extract "get the page title"
browser close
```

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

### MLflow Autologging and Tracking

Source: https://clawhub.ai/kn71y3mdbcx5dyhwxv1t7sm82x81a168/mlops-automation-cn

Example of using MLflow to automatically log parameters and metrics during model training. Ensure MLflow is installed and configured with a tracking server if necessary.

```python
import mlflow

mlflow.autolog()
with mlflow.start_run():
    mlflow.log_param("lr", 0.001)
    model.fit(X, y)
    mlflow.log_metric("accuracy", acc)

```

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

### Interactive Setup: Step 1 - Model Configuration Prompt

Source: https://clawhub.ai/kn73gpe8xz2630jrknkb3ya96h7zb84h/roundtable

This is the initial question asked during the interactive setup to determine model configuration. It offers options for single model, multiple models per role, or using presets.

```text
🏛️ Let's set up your Roundtable! First, how do you want to configure models? A) 🎯 Single model for all agents (simple, cost-effective) B) 🔀 Different models per role (maximum diversity) C) 📦 Use a preset (cheap/balanced/premium/diverse)
```

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

### Install Full Emoji Set for tablesnap

Source: https://clawhub.ai/kn72thdm1qe7rrz0vn4vqq3a297ymazh/table-image

Run this command to download the full set of emoji assets for tablesnap. This is an optional one-time setup for enhanced emoji rendering.

```bash
tablesnap emojis install
```