Hermes Agent: Autonomous Skill Creation via /learn Command Introduction and Demo

Generated: 2026-06-27 · API: Gemini 2.5 Flash · Modes: Summary


Hermes Agent: Autonomous Skill Creation via /learn Command Introduction and Demo

Clip title: Hermes Agent /learn — Teach Your AI Agent Anything Author / channel: Fahd Mirza URL: https://www.youtube.com/watch?v=ex3u0tDyrao

Summary

This video introduces the Hermes Agent, an open-source self-improving AI operator developed by Nous Research, highlighting its powerful “skills” feature and the newly released /learn command. A “skill” in Hermes Agent is essentially a SKILL.md procedure file that defines a specific workflow. These skills load on demand when relevant and become instant /commands that the agent can execute. Historically, users had to write these skills manually, but the new /learn feature revolutionizes this process by enabling the agent to create them autonomously.

The core innovation of the /learn command is its ability to ingest information from various sources—be it a local directory, a URL, pasted notes, or even the current conversation—and automatically distill that information into a reusable skill. The agent gathers the raw data, processes it, extracts the underlying workflow, and then authors a proper SKILL.md file. This eliminates the need for manual skill creation, extra tools, or fine-tuned models, making the process highly efficient and accessible across different environments.

The presenter demonstrates this capability with two compelling examples. First, he instructs Hermes Agent to /learn from his personal blog (fahdmirza.com), asking it to focus on his writing style, post structure, and topics. Hermes navigates the site, analyzes multiple articles, and intelligently identifies patterns such as his preference for technical deep-dives, direct writing style, use of em-dashes, and specific formatting conventions. The agent then creates a fahdmirza-blog-style skill, which can subsequently be invoked to draft new blog posts that adhere to his established style, demonstrating an impressive level of contextual understanding.

In the second demonstration, the /learn command is applied to a local codebase for a World Cup 2026 tracker application. Without explicit instructions on the code’s architecture, Hermes is tasked with learning its API routes, data model, and overall structure. The agent reads the project files, comprehends the FastAPI endpoints, the SQLite database schema, and even identifies outdated bug comments within the code. This results in a /worldcup2026-tracker skill that, when invoked, instantly provides a comprehensive overview of the application’s technical details, including its API endpoints and their functions.

The video concludes by emphasizing that the /learn feature significantly enhances the Hermes Agent’s ability to persist knowledge and improve from experience. It bridges the gap between an agent “just figuring something out” and being able to consistently replicate complex tasks. This self-authoring capability allows Hermes to transform diverse data into structured, actionable knowledge, making it a powerful tool for developers and engineers aiming to automate complex workflows and build self-improving AI systems.

Description

Hermes Agent’s new /learn command turns any URL, codebase, or conversation into a reusable AI skill in seconds.

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https://github.com/NousResearch/hermes-agent

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