The author regularly explores new GitHub repositories and finds among them tools that can be used for lead generation, sales, and business management. In the review, he examines five repositories and three AI skills. Most of them are distributed for free, but using language models is paid separately.

1. Brag

Brag creates short videos for product launches. The skill takes a project description or a website link and produces a video about 20 seconds long with music, animation, and text for publishing.

• Installation: the skill is installed into a programming agent. For the Brag Slim version, designed for Opus 5.5, the author provides an installation command.
• Request: the user specifies duration and format. Vertical, square, and, in the author's opinion, horizontal formats are available. A preview is also created.
• Edits: you can regenerate an individual scene and submit comments on a specific fragment.
• Tone selection: for example, you can set the tone of a fake announcement of a 2016 Series A round.

According to the author, the quality of the videos is high. Venture-backed startups spend between $100,000 and$300,000 on similar videos. The author believes that Brag can produce comparable results at a significantly lower cost.

Use cases:

• Creating videos for projects launching on Product Hunt without a video. The video is sent to the project owner without asking permission, as an alternative to cold outreach. In the author's view, this approach can start a conversation and create value for the recipient.

The skill is free. You pay only for the model it uses.

2. Agent Reach

Agent Reach allows the agent to retrieve information from social networks: YouTube, Reddit, and X. To do this, the tools required by each platform are installed. The agent conducts research on a topic across several sources without manual data collection.

The author uses the tool for customer research. The workflow is as follows:

1. Choose software that people are already paying for.
2. Find out which operations customers still perform manually.
3. Obtain source posts with examples.

Example: owners of cleaning companies export their schedule from accounting software every Friday in order to calculate employee wages. This operation is often moved into a spreadsheet. A small tool can be created that processes the export and performs the calculation. The client keeps the software, and the contractor eliminates the inconvenient part of the process.

Signal search: the agent looks for phrases such as "I export...", "I copy this into...", "is there a workaround". Then several recent examples from different people are selected. One of them is invited to show their process.

The author emphasizes that a conversation must be held before assuming that a client exists. The tool is also useful for products that already exist: formulations of customer pains help improve the product description. For example, the phrase "calculating wages eats up my entire Friday evening" can become the basis for website copy if the product solves precisely this problem.

In the author's view, the internet contains a lot of valuable information about customers, but language models without such tools work with it insufficiently effectively.

The tool is simple to install and is distributed for free.

3. Voice Studio

Voice Studio is a desktop application for AI-based speech generation. The author describes it as an open-source analogue of the ElevenLabs service.

Features:

• speech generation;
• creating a voice based on a recording of your own voice;
• dubbing a video into another language.

The models run locally, that is, on your own hardware. A sufficiently powerful computer is required.

Testing procedure:

1. Make a short recording of your own voice.
2. Install the application and the model it offers.
3. Upload a clean voice sample and several phrases for generation.
4. Evaluate the result before moving on to more complex tasks.

Use cases:

• Creating versions of training videos for customers who speak another language. For example, instructions on using a product, appointment booking, or onboarding after payment. A native speaker checks the result before publication.
• Choosing videos to translate. If support receives the same questions repeatedly, the videos on the three most frequent topics are translated first.
• Updating videos when the product changes. The author believes companies could outsource this work to an external contractor on a monthly basis.

Limitations:

• Before commercial use, the license of the application and the models must be checked.
• Only voices for which permission to use has been granted may be cloned.
• The author noted that the model includes voices of well-known people which, in his assumption, were obtained from open archives, including archive.org.

The application is distributed free of charge.

4. PPT Master

PPT Master converts documents and notes into an editable presentation. You can use your own presentation template.

Installation and launch:

1. Add PPT Master to a programming agent.
2. Complete the installation following the instructions. According to the author, the tool uses Python dependencies.
3. Provide a document and specify a request, for example: "Turn this into a five-slide proposal using this template."

The author recommends first testing the tool on an already written commercial proposal with confidential data removed. This makes it possible to assess the quality of the result and the amount of editing required.

Use cases:

• After a client call. Notes, the agreed scope of work, and the price turn into a presentation that can be reviewed and sent while the conversation is still fresh.
• For sales teams. If managers keep recreating the same materials, a single reference version is created based on approved information. Then it becomes clear which other materials are needed.

Preparation principle: a presentation should be written for a person who did not take part in the call. The client's contact may forward it to another person who needs to understand the reason for the proposal and the basis for approval.

The author notes that many specialists spend a lot of time in PowerPoint, and making changes often requires unnecessary steps. The tool is distributed for free.

5. Open Rig

Open Rig combines coding agents into a team. One agent makes a change, and another checks the result. The tool lets you pass work between agents.

The tool works with Codex and Claude Code.

Who it's for: users who already work with several agents and manually copy results from one chat into another, for example, to request a review and send the feedback back to the first agent.

Installation:

• requires a Mac or Linux;
• requires Node and tmux;
• the tool changes agent settings, so study them before launching it.

The author recommends first completing the step-by-step guide in a test project.

Example task: a cost calculator for a website. One agent builds it, and a second agent checks the result against the company's prices. Before the work is handed to the client, a human reviews it in any case.

According to the author, the tool is useful for web studios that often receive small revisions after a site launches. Working with the tool reduces the time spent passing instructions between windows. The tool is free.

6. Free Tools

Free Tools — a skill created by Corey Haynes. The skill helps determine which free tool can be built and offered to the audience to attract suitable clients. The skill is part of the marketing tools collection.

Skills are sets of instructions that an agent can reuse. Some skills contain scripts and examples. This approach allows you to define the agent's workflow instead of writing long prompts each time.

Example: a packaging supplier company. A client launching a product chooses between 1,000, 2,000, and 5,000 boxes. A calculator shows the cost of each option. If the client requests a quote, they have already indicated what they plan to buy.

Workflow according to the author:

1. Show the calculation result before requesting an email address.
2. Offer to turn the estimate into a specific quote without re-entering the data.

The author believes this approach suits many companies. He calls it a variant of a lead magnet for the target audience. The author has used other tools of this type and noted their benefit for his career.

7. Grill Me

Grill Me is a skill created by Matt Pco. The user describes an idea or decision, and the skill conducts an interview. Questions are asked in several rounds, and follow-up questions depend on the answers.

Application: the skill is used before development begins. The author notes that this is exactly the stage at which it is easy to skip an uncomfortable question.

Example: local franchise advertising. The skill helps find out who pays for the work, who owns the franchise, who is at the head office, and whether the client has the right to approve the advertising. The author gives an example: if every ad is approved at the head office, a dashboard built without this information will turn out to be useless.

Recommended instruction: record assumptions. For example, "they probably have a budget" or "they have probably given us access." Then determine which assumption needs to be verified first, and ask that question of the potential client. The skill helps you prepare, and the client provides the answers.

The skill is suitable not only for major decisions. For example, it can be used to decide whether to offer an annual plan or build a feature for a single large client.

8. Impeccable

Impeccable was created by Paul Beass. The skill gives coding agents more specific design recommendations. It is useful when AI does not improve a site's appearance enough.

Installation and setup:

1. Install the skill in the project.
2. Run the setup.
3. Specify who the product is for.

Commands:

• critique: critique of the page;
• polish: refining details;
• bolder: a more pronounced design;
• quieter: a more restrained design. The author notes that a restrained style often suits AI-generated sites better.

Example: the Creators conference website. The work began with a mockup and a brand book. The mockup was then turned into a working site. The result was checked in the browser, and poor image cropping and overlapping elements were fixed.

The author's workflow:

1. Run critique on a page he has already created and check whether the skill finds problems he missed.
2. Apply the fixes he agrees with.
3. Work on individual parts of the site, such as the styling, verification, or payment, rather than redoing the entire site.

Income opportunity: a specialist with good visual taste can find a small product whose site is hard to understand. For example, prices on mobile may be unclear, or a registration form may ask for too much data. The specialist prepares specific proposals and shows the founder what changes they made. The author emphasizes that you need to explain why a change helps the user, not just that the specialist likes it.

Such a conversation may lead to additional offers, such as other design services or market research. The author gives a hypothetical example: a monthly fee of $1,000 from one client, and$10,000 per month from 10 clients. He believes large companies start with small projects and gradually move from services to technology.

The author emphasizes that the specialist's expertise remains the key factor clients pay for. Impeccable helps identify a problem and make a fix, but it does not replace the specialist's judgment. In the author's view, some results of design created with language models leave much to be desired.

The skill is free. Costs for the coding agent are paid separately. The author advises testing the skill first on a copy of your own site.

Summary

The author named two tools to start with: Brag, because it creates material that can be sent to a potential client, and Agent Reach, because it helps understand clients' problems.

The author stated that they have no affiliation with the mentioned repositories and skills, and that they are testing them on their own.