¡Se desbloquearon! Agentes de IA Expertos con SKILLS Gratis y SIN Límites 🔓

Summary

The video explains AI-agent skills: reusable instructions, procedures, and context that help agents such as Claude Code, Google Antigravity, and Codex perform tasks more consistently.

The presenter compares a skill to procedural memory. It does not make a model inherently smarter, but gives it a method for carrying out work. Unlike a one-off prompt, a skill can preserve workflows, templates, and tool-use guidance for future tasks.

Skills load progressively: an agent can discover available skills, activate a relevant one, and execute it when needed. This lets agents use many skills without loading all their instructions into the context window at once.

Demonstrations and Guides

Installing an interface-design skill

The presenter installs a skill from a terminal into a Google Antigravity project, choosing a project-level rather than global installation. The skill’s instructions and reference files are then available to other agents, such as Codex, when they open the same project.

A real-estate landing page is generated both with and without the skill. The video shows different layouts and features but does not establish a universal winner.

Generating promotional videos

Codex is used with HyperFrames, an open-source tool described as converting AI-generated code into MP4 video. In the demonstration, an approximately 20-second promotional video is assembled from the presenter’s website, using its imagery, branding, logo animation, and a call to action. The presenter says it took about 12 minutes.

The video also shows examples of product demonstrations and AI-generated presenter-style video.

Hostinger integration

A Hostinger app in ChatGPT is used to request a pizzeria application. The result opens in Horizon and includes a menu, ordering, order tracking, reservations, contact information, and an About Us section.

The presenter also highlights built-in AI agents and skills for website and app optimization, including visibility in AI search tools. This segment is sponsored.

Creating a custom skill and controlling Blender

The video shows skill-creation options in Claude Code and Codex. A Blender MCP skill lets an agent operate Blender despite the presenter’s limited familiarity with it. The agent creates a 3D sailboat, then analyzes and renders the model.

Making a skill ask for context

A custom skill is created to ask the user questions before acting. In the real-estate website example, it gathers more requirements to produce a tailored result instead of immediately generating a generic page.

Automating Metricool through a browser

A custom browser-management skill is used to schedule a video as a draft for Instagram and TikTok, excluding other platforms and setting a date and time. The demonstration shows the agent navigating the browser interface and completing the scheduling steps.

The presenter frames this as a way to automate work without relying on a paid platform integration.

Finding and reusing skill collections

Superpowers is presented as a library of skills for tasks such as brainstorming, planning, testing, debugging, and creating skills. The video also introduces skills.sh and its Find Skill tool, which can search for and recommend skills, along with official skill repositories from AI companies.

Security checks

The presenter warns that skills can be powerful because they may control a browser, computer, or other tools. Recommended checks include:

• Reviewing a skill’s source repository and usage
• Consulting platform security audits
• Using dedicated skill-scanning or auditing tools

These checks can reduce risk but do not guarantee safety. The video cites figures about vulnerabilities among skills, but those figures are claims reported in the presentation and are not independently verified here.

Overall Takeaway

Skills can make agents more capable at repeatable, tool-heavy tasks, but results still depend on the model, the quality of the skill, and adequate context. The presenter recommends checking skills before installing them.

Main Speaker and Sources

Main speaker: Alejavi Rivera, the video’s presenter and demonstrator.

Sources and tools discussed: Claude Code, Google Antigravity, Codex, Anthropic, OpenAI, Vercel/skills.sh, GitHub, Blender MCP, HyperFrames, Metricool, and Hostinger.