GitHub:

https://github.com/AgriciDaniel/claude-ads

Claude Ads is a paid-advertising audit and optimization system built for Claude Code. It can evaluate advertising accounts across platforms such as Google, Meta, LinkedIn, TikTok, Microsoft, YouTube, Apple, and Amazon Ads.

The repository includes more than 250 checks, weighted scoring, specialized audit agents, planning workflows, creative analysis, budget reviews, landing-page analysis, and client-ready PDF reports.  

You will need:

Claude Code is the most thoroughly tested host. The repository also includes experimental installation options for Codex CLI, Cursor, Windsurf, Gemini CLI, and Goose.  

Inside Claude Code, install the public repository as a plugin:

/plugin marketplace add AgriciDaniel/claude-ads

/plugin install claude-ads@agricidaniel-claude-ads

Alternatively, install it manually on macOS or Linux:

git clone https://github.com/AgriciDaniel/claude-ads.git

cd claude-ads

./install.sh

On Windows PowerShell:

git clone https://github.com/AgriciDaniel/claude-ads.git

cd claude-ads

.\install.ps1

Start Claude Code:

claude

Then run:

/ads audit

For an individual platform:

/ads google

/ads meta

/ads linkedin

For an advertising plan:

/ads plan saas

/ads plan ecommerce

/ads plan local-service

For budget analysis:

/ads budget

For a client-facing report:

/ads report

The project also includes commands for creative audits, competitor analysis, tracking, attribution, campaign generation, advertising calculations, and landing-page reviews.  

Deliver:

Suggested starting price:

$300–$750 for smaller businesses

$1,000–$2,500 for established advertisers

Run the audit every month and compare changes.

Deliver:

Suggested price:

$300–$1,500 per month

Do not only identify the problems. Offer to fix them.

Package:

Suggested price:

$1,500–$5,000+

GitHub:

https://github.com/Fincept-Corporation/FinceptTerminal

Fincept Terminal is a native financial-analysis application with portfolio tools, market research, risk analysis, economic data, AI agents, broker integrations, and more than 100 data connectors. It supports multiple model providers and local models through Ollama.  

The repository is available under a dual-license model.

Its README states that the AGPL version is available for personal use, learning, academic research, and open-source contribution. It also states that business use, consulting deliverables, SaaS products, internal company use, white-labeling, and reselling require a commercial license.  

Do not sell services built directly on Fincept Terminal before reviewing its latest commercial licensing terms.

The easiest option is to download the current installer from the repository’s Releases section.

Available builds include:

The current repository instructions recommend the installer for most users.  

git clone https://github.com/Fincept-Corporation/FinceptTerminal.git

cd FinceptTerminal

chmod +x setup.sh

./setup.sh

The setup script checks and installs the required build dependencies, including CMake, Qt6, Python, and the compiler toolchain.  

After launching the application:

Because commercial usage may require a license, the safest starting point is to use it for learning and then create original research services using properly licensed data and tools.

Deliver:

Suggested price:

$100–$500 per month for individual clients

$500–$2,000 per month for professional teams

Create an original dashboard around a client’s market, industry, or portfolio.

Suggested price:

$1,000–$5,000+

Teach users how to:

Do not position educational content as personalized financial advice.

Trading and investment tools do not guarantee profit. Use paper trading first, verify every output, and never present generated analysis as guaranteed financial performance.

GitHub:

https://github.com/anil-matcha/open-generative-ai

Open Generative AI is an MIT-licensed creative studio that brings image, video, audio, lip-sync, workflow, and design tools into one interface.

The project lists more than 200 model options across image generation, image editing, video generation, lip sync, and other creative categories. Many hosted models use Muapi, so API usage may still create costs even though the application itself is open source.  

For the development setup:

Users who only want to run the application can also use a prebuilt desktop release instead of building from source.  

Clone the repository with its submodules:

git clone –recurse-submodules https://github.com/Anil-matcha/Open-Generative-AI.git

cd Open-Generative-AI

Install dependencies and build the workspace packages:

npm run setup

Launch the desktop version:

npm run electron:dev

Or launch the web version:

npm run dev

Then open:

http://localhost:3000

You will be asked to add your Muapi API key when using hosted models. According to the repository, the key can be skipped when you only plan to use supported local models.  

For the hosted web application:

npm run build

npm run start

For a macOS desktop build:

npm run electron:build

For Windows:

npm run electron:build:win

For Linux:

npm run electron:build:linux

Create a monthly content package for brands.

Example package:

Suggested price:

$500–$2,500 per month

Ask the client for simple product photos, then create:

Suggested price:

$200–$1,500 per product collection

Customize the interface for one niche, such as:

Charge:

Combine the studio with Claude Ads.

Workflow:

Suggested price:

$1,000–$5,000 per campaign.

GitHub:

https://github.com/HKUDS/Vibe-Trading

Vibe-Trading is an AI trading and financial-research system with natural-language strategy testing, multi-agent analysis, market-data connectors, command-line tools, a web interface, and an MCP server.

It supports multiple LLM providers and can also use Ollama locally. Its market-data layer includes free fallbacks for several markets, although some connectors and providers may require additional credentials.  

For the simplest local installation:

pip install vibe-trading-ai

Initialize the environment:

vibe-trading init

The initialization process helps create your configuration and connect an LLM provider.

vibe-trading run -p “Backtest a BTC-USDT 20/50 moving-average strategy for 2024 and summarize return and drawdown”

Launch the interactive command-line interface:

vibe-trading

Launch the web interface:

vibe-trading serve –port 8899

Open:

http://localhost:8899

Launch the MCP server:

vibe-trading-mcp

The MCP server can connect the project to compatible clients such as Claude Desktop, Cursor, and other agent tools.  

git clone https://github.com/HKUDS/Vibe-Trading.git

cd Vibe-Trading

cp agent/.env.example agent/.env

Open agent/.env and add your chosen model provider and API key.

Then run:

docker compose up –build

Open:

http://localhost:8899

Do not promise profits, guaranteed returns, or “winning” strategies.

Customers provide a trading hypothesis. You return:

Suggested price:

$100–$500 per report

Create a dashboard for:

Suggested price:

$1,000–$5,000+

Build a learning environment where users can test ideas without deploying real money.

Charge through:

Configure the MCP server for analysts, educators, or finance content teams.

Suggested price:

$500–$3,000 for setup and customization.

Keep real trading disabled while testing. Use paper-trading accounts and require human confirmation before any live order.

GitHub:

https://github.com/jo-inc/camofox-browser

Camofox Browser is a browser server designed for agents and automation systems. It can create browser tabs, navigate pages, capture structured snapshots, click elements, type into forms, take screenshots, manage sessions, download files, and expose these capabilities through an API.  

The project describes itself as a stealth browser designed to reduce bot detection. Use it only on websites you are legally and contractually permitted to access. Do not use it to bypass authentication, paywalls, rate limits, or platform rules.

Run directly with npx:

npx @askjo/camofox-browser

The server starts on port 9377 by default.

Open the API documentation:

http://localhost:9377/docs

git clone https://github.com/jo-inc/camofox-browser

cd camofox-browser

npm install

npm start

The first run downloads the required Camoufox browser binary.  

openclaw plugins install @askjo/camofox-browser

This adds browser actions such as creating tabs, navigating, clicking, typing, scrolling, capturing screenshots, and importing cookies.  

Create a browser tab:

curl -X POST http://localhost:9377/tabs
-H “Content-Type: application/json”
-d ‘{“userId”:“agent1”,“sessionKey”:“task1”,“url”:“https://example.com”}’

The response returns a tab ID.

Request a structured snapshot:

curl “http://localhost:9377/tabs/TAB_ID/snapshot?userId=agent1”

The snapshot provides references that an agent can use to interact with visible elements.

Monitor permitted public information such as:

Suggested price:

$200–$1,500 per month

Build a workflow that:

Suggested price:

$1,000–$5,000 setup plus maintenance.

Create agents that test:

Suggested price:

$500–$3,000 per website or monthly retainer.

Deploy Camofox inside a company’s infrastructure so internal agents can use approved web applications.

Charge for:

Only automate websites where you have permission or a lawful basis. Respect robots.txt where applicable, site terms, privacy laws, authentication boundaries, and reasonable rate limits.

GitHub:

https://github.com/heygen-com/hyperframes

HyperFrames is an open-source framework that converts HTML, CSS, media, and seekable animations into deterministic MP4 videos.

It can be used locally through a CLI or controlled by coding agents through dedicated skills. The project supports workflows for product-launch videos, website videos, social content, motion graphics, and other programmable compositions.  

npx skills add heygen-com/hyperframes –full-depth –yes

The repository recommends using full-depth so the installer retrieves the current version from the main branch.  

Using /hyperframes, create a 10-second product introduction with a fade-in headline, a background video, animated feature cards, and subtle background music.

The skills guide the agent through:

npx skills add heygen-com/hyperframes –all –full-depth

/product-launch-video

Use it for advertisements, product announcements, launches, and promotional videos.

/website-to-video

Use it to turn a website or landing page into a presentation or social clip.

/hyperframes

Use this as the main router whenever you want to create or modify a video.

Ask clients for:

Produce:

Suggested price:

$300–$2,000 per video package.

Build one HTML template and automatically create many variations by changing:

Suggested price:

$1,000–$5,000 for the system, plus a monthly content retainer.

Connect customer information to reusable video templates.

Generate videos personalized by:

Suggested price:

$2,000–$10,000 for a complete pipeline.

Create reusable HyperFrames templates for:

Sell templates individually or through a membership.

Do not try to sell all six immediately.

Choose one clear combination:

Claude Ads + ecommerce brands

Open Generative AI + content creators

HyperFrames + SaaS companies

Camofox + research teams

Vibe-Trading + finance educators

Fincept + personal learning and licensed research environments

Your offer should solve one measurable problem.

Bad offer:

“I build AI automations.”

Better offer:

“I turn your product page into 20 ready-to-test video ads every month.”

Create one complete sample.

Your sample should include:

Do not merely record the repository running. Show the result a customer would receive.

Create three packages.

A small one-time deliverable.

A larger implementation with customization.

Ongoing monitoring, creation, reporting, or maintenance.

Use fixed pricing whenever the scope is predictable.

Contact people already experiencing the problem.

Use:

Outreach message:

Hey [Name], I noticed [specific observation].

I built a small system that helps [type of company] achieve [specific outcome] without [current pain].

I created a quick example for your business here: [link].

Would it be useful if I showed you how it works?

Do not sell access to code you found.

Sell:

Always check the license before charging for hosted access, reselling, white-labeling, or incorporating a repository into a commercial product.

GitHub:

https://github.com/firecrawl/firecrawl

Firecrawl can search, scrape, crawl, and interact with websites, returning clean Markdown, screenshots, or structured data for agents and applications. It is available as open-source software and as a hosted API.  

Create a Firecrawl account and API key, then install its agent tools:

npx -y firecrawl-cli@latest init –all –browser

Or connect it as an MCP server:

{
“mcpServers”: {
“firecrawl-mcp”: {
“command”: “npx”,
“args”: [”-y”, “firecrawl-mcp”],
“env”: {
“FIRECRAWL_API_KEY”: “fc-YOUR_API_KEY”
}
}
}
}

Combine it with Camofox when a workflow needs both clean extraction and browser interaction.

GitHub:

https://github.com/n8n-io/n8n

n8n is a visual workflow and AI-agent platform that supports self-hosting, custom JavaScript and Python, human approvals, model integrations, and a large integration ecosystem. Its repository uses a fair-code license rather than a standard unrestricted open-source license, so review the current license before providing hosted or embedded commercial offerings.  

npx n8n

Open:

http://localhost:5678

docker volume create n8n_data

docker run -it –rm
–name n8n
-p 5678:5678
-v n8n_data:/home/node/.n8n
docker.n8n.io/n8nio/n8n

Suggested price:

$500–$5,000 per workflow system

$200–$2,000 per month for management and maintenance

GitHub:

https://github.com/activepieces/activepieces

Activepieces is an automation platform positioned as an open-source alternative to Zapier. Its Community Edition is released under the MIT license, while enterprise features use a commercial license. It supports visual workflows, AI actions, loops, approvals, forms, and a large collection of integrations that can also be exposed as MCP tools.  

Use the official deployment instructions linked from the repository:

https://www.activepieces.com/docs/install/overview

For beginners, start with the hosted version or the official Docker deployment. Avoid copying unofficial Docker commands because the required environment configuration can change between releases.

Suggested price:

$1,000–$7,500 per implementation

GitHub:

https://github.com/langgenius/dify

Dify combines visual AI workflows, agents, retrieval-augmented generation, model management, APIs, observability, prompt development, and document-processing tools. It is designed to help teams move from an AI prototype to a deployable application.  

Minimum recommended system resources:

Clone the repository:

git clone https://github.com/langgenius/dify.git

Enter the Docker directory:

cd dify/docker

Create your environment file:

cp .env.example .env

Launch Dify:

docker compose up -d

Open:

http://localhost/install

Complete the initialization process and connect your chosen model provider.  

Suggested price:

$1,500–$10,000+ per custom application

Claude Ads

Open Generative AI

HyperFrames

n8n

Use Claude Ads to find problems, Open Generative AI to create assets, HyperFrames to produce videos, and n8n to automate delivery and reporting.

Camofox Browser

Firecrawl

Dify

n8n

Use Camofox for approved browser interaction, Firecrawl for structured extraction, Dify for analysis and search, and n8n for scheduled delivery.

Open Generative AI

HyperFrames

Activepieces

Use Open Generative AI to create assets, HyperFrames to create programmable videos, and Activepieces to automate review and publishing.

Vibe-Trading

Fincept Terminal

Dify

Use Vibe-Trading for strategy testing, Fincept for research and learning where permitted by its license, and Dify to create an educational assistant.

Do not market the product as guaranteed investment advice or guaranteed returns.

Confirm that:

The repository is only the engine.

The money comes from packaging that engine into a result someone already wants.