This Hermes AI course module is the deep dive on the skills system — the part of Hermes that actually compounds.
If you only learn one part of Hermes, learn skills.
Skills are why Hermes is different from every other AI agent.
Skills are why it gets smarter over time.
Skills are why a 6-month-old Hermes setup is more capable than a brand new Claude Code session.
Let me break it down.
What A Skill Actually Is
Every skill in Hermes is a folder inside hermes/skills/ on your machine.
Each skill has a skill.md file — a structured markdown document that tells the agent exactly how to handle a specific type of task.
That's it.
A folder.
A markdown file.
No code.
No fancy framework.
Just structured natural language describing how to do something.
Hermes ships with 40+ skills out of the box covering MLOps, GitHub, research, and more.
Plus you can install community skills with one command.
Plus Hermes creates new skills automatically as you use it.
🔥 Want my Hermes skills library + the templates I use to build new ones? Inside the AI Profit Boardroom I've put up the skill.md templates for content automation, research workflows, scheduled tasks, and analytics dashboards. Plus weekly coaching where I'll review your skill files and tighten them. 2,800+ members already shipping skill-driven automations. Click below. → Get the Hermes skills templates
Why Markdown Beats Code
Most AI frameworks force you into Python.
Want a new agent capability? Write a class.
Want to share it? Push to a package.
Want to update it? Edit the source.
Hermes flips that.
Skills are markdown.
Want a new capability? Write a markdown file.
Want to share it? Send the file.
Want to update it? Edit the markdown.
Two reasons this matters.
One — anyone can write a skill. You don't need to be a programmer.
Two — Hermes itself can write and update skills. Because they're markdown, the agent can edit its own capabilities the same way it edits a doc.
That's how self-improvement works under the hood.
Module 1 — Install Wonderly Skills
The fastest way to level up Hermes is community skills.
The recommended starting point is Wonderly Skills — 250+ stars on GitHub, actively maintained, cross-platform.
Install with one command:
hermes skills install Wonderly Skills
That's it.
Now Hermes has access to:
- ArXiv research workflows
- GitHub PR workflows
- PDF processing
- Email handling
- Diagramming
- Jupyter notebooks
- Web research
Plus more — browse with hermes skills browse.
Each newly installed skill becomes a slash command automatically.
Type /arxiv and Hermes loads that skill instantly.
I covered the install + setup flow in my Hermes agent install post — pairs naturally with this Hermes AI course skills deep dive.
Module 2 — How Skills Self-Improve
Here's the magic bit.
When Hermes uses a skill, it sometimes hits edge cases.
A web page changed.
A specific file format wasn't expected.
The user gave feedback like "no, do it this way".
Each of these moments updates the skill.md file.
The next run uses the updated skill.
The skill gets better.
Without you doing anything.
Real example from my setup — my "post to X" skill on day 1 was rough. Wrong tone. Bad image prompts. Hashtags in the wrong place.
I gave it feedback.
Hermes updated the skill.md.
Day 7, the skill was sharp.
Day 30, it's better than the human-written version I would've started with.
That's the loop.
Module 3 — Writing Your Own Skills
Auto-created skills are good.
Hand-written skills are often better — especially for complex workflows.
A solid skill.md template:
# Skill: [Name]
## Purpose
Brief description of what this skill does.
## When to use
Trigger conditions / keywords.
## Inputs
What the agent needs to know to start.
## Steps
1. First step
2. Second step
3. Third step
## Edge cases
- Case A: handle like X
- Case B: handle like Y
## Success criteria
What "done" looks like.
## Failure modes
What to do if step N fails.
Drop that into a folder under hermes/skills/[skill-name]/skill.md and Hermes picks it up.
Test it.
Refine it.
Watch Hermes update it as it learns.
I went deeper on the prompt-writing discipline in my Claude Code free post — same principles apply here.
Module 4 — The Agent Skills Open Standard
Skills aren't locked to Hermes.
They follow an open standard called agentskills.io — meaning skills you create or install for Hermes are also compatible with Claude Code, Cursor, and other agent tools.
That's huge.
Your work doesn't stay trapped in one ecosystem.
Build a skill for Hermes, use it in Claude Code.
Build it in Claude Code, use it in Hermes.
The skill.md files are portable.
This is the kind of standardisation that protects your investment in agent tooling.
You're not betting on Hermes — you're betting on a skill format that multiple agents now support.
Module 5 — Skills Security Scanner
Before community skills install, Hermes runs them through a security scanner.
Checks for:
- Data exfiltration attempts (sending your data somewhere)
- Prompt injection (skill prompts that try to override agent rules)
- Destructive commands (rm -rf and similar)
- Supply chain issues (suspicious dependencies)
You're not blindly running someone else's code.
There's a real safety layer.
Always review the scanner output before approving an install.
Don't blindly approve community skills, even with the scanner — for sensitive operations, write your own.
I covered the security side in my Hermes vs OpenClaw breakdown — Hermes's tighter container isolation pairs with the skills scanner for genuine production safety.
Module 6 — Selective Loading For Performance
Hermes only sees skill names and short descriptions at startup.
Loads full content only when needed.
That means you can have dozens of skills installed without slowing down every conversation.
Compare to agents that load everything into context — they hit token limits fast and slow down with each new skill.
Hermes scales.
Add 100 skills.
Still fast.
This selective loading is one of the architectural details that makes Hermes production-ready for serious automation.
🔥 Want my exact Hermes skill organisation system? Inside the AI Profit Boardroom I've documented the folder structure, naming conventions, and skill chain patterns I use across 50+ skills. Plus how to refactor your skill tree monthly so it doesn't become a junk drawer. 2,800+ members building organised AI agent stacks. Click below. → Get the skill organisation system
Module 7 — Chaining Skills Together
This is where the compounding gets serious.
Once you have 10-15 skills, start chaining them.
Real chain I run weekly:
- Skill A: Pull weekly Reddit trending topics
- Skill B: Filter to AI/automation only
- Skill C: Draft tweet for top 3
- Skill D: Generate image with Nano Banana 2
- Skill E: Post to X with image and copy
Tell Hermes "run weekly content drop" and it executes A→B→C→D→E.
You've gone from "an AI that does tasks" to "an AI that runs your weekly content ops".
That's the system.
I broke down a parallel chain pattern in my paperclip Hermes agent post — orchestration layer for when chains get complex.
Module 8 — Backup Your Skills (Seriously)
Two horror stories from my own setup.
Horror story 1 — Hermes lost a skill mid-update. Just disappeared from the tree. Three weeks of refinement, gone.
Horror story 2 — I accidentally edited a skill.md while testing and saved over the working version with a half-finished draft.
Both could've been avoided with backup discipline.
What I do now:
- Weekly Git commit of
hermes/skills/to a private repo - Pre-edit copy of any skill before manually changing it
- Monthly backup to external drive
Your skill tree is your most valuable Hermes asset after 3 months.
Don't lose it.
Module 9 — The Skills Hub
There's a community-driven Skills Hub at agentskills.io.
Browse community-contributed skills.
Install the ones you want.
Contribute back when you build something good.
Plus the awesome-hermes-agent GitHub list (by 0xyk) curates the best skills, tools, and integrations for the Hermes ecosystem.
Bookmark it.
New skills drop weekly.
Hermes Skills FAQ
Can I write a skill in something other than markdown?
No — markdown is the format. Some skills can call code via tool integrations, but the skill.md itself must be markdown.
How big can a single skill.md be?
Practically — a few thousand words max. Larger skills should be broken into sub-skills.
Can skills call other skills?
Yes — that's how chaining works. Reference the other skill by name in your skill.md.
Do skills work across model providers?
Mostly. Some skills assume reasoning capability and behave worse on non-reasoning models.
Can I version-control skills?
Yes — Git the hermes/skills/ folder. Branch, tag, rollback like any code.
What's the difference between auto-created and hand-written skills?
Auto-created skills are quick. Hand-written are more reliable. For critical workflows, write by hand.
Related Reading
- Hermes agent mission control — install and gateway
- Claude Code free — skill-equivalent prompts
- Paperclip Hermes agent — chaining and orchestration
Final Take
Skills are the part of Hermes that compounds.
Without skills, Hermes is a fancy chatbot.
With skills, Hermes is a personal AI system that gets sharper every week.
Install Wonderly Skills today.
Write three of your own this week.
Backup the folder every Sunday.
In 3 months, your Hermes will be more capable than 90% of the AI tools on the market — because nobody else's Hermes has your specific skill tree.
🔥 Ready to master the Hermes skills system? Get a FREE AI Course + Community + 1,000 AI Agents 👉 join here. Or grab the full Hermes skills track inside the AI Profit Boardroom.
Learn how I make these videos 👉 aiprofitboardroom.com
Video notes + links to the tools 👉 skool.com/ai-profit-lab-7462
This hermes ai course skills module is the compounding edge — go and write your first skill tonight.