What the Repo Is

There is an open-source project , not officially affiliated with Hyperagent , that provides a curated collection of pre-built skills, CLAUDE.md templates, and workflow configs built specifically for Hermes Agent power users. It is maintained by the community, not the core team.

The repo contains over 40 community-built skills covering common professional workflows: legal document review, financial analysis, content creation, software development. Alongside those, there is a CLAUDE.md starter template library organised by professional context, and a workflow library with common agent chain patterns that people have found useful. Someone has already done the hard initial work for most standard use cases.

The project exists because the gap between "I set up Hermes" and "Hermes is doing useful work for me" is bigger than the documentation makes it seem. The repo shortens that gap significantly.


Why This Matters in Practice

Building a skill from scratch takes hours. You have to think through the context, the criteria, the output format, the edge cases, the failure modes. You test it, find it produces mediocre results, revise the framing, test again. It is a good process but it is slow, and the first several versions of anything you build are predictably worse than a version that has been refined through real use.

Installing a community skill takes minutes. Customising a working base to fit your context takes another hour. Starting from something that already works is a meaningfully different proposition than starting from a blank file. The first version of a well-maintained community skill is better than most people's first version of a hand-built one, because it has already been through that revision cycle.

The CLAUDE.md templates are underrated. Most people who set up Hermes Agent write their own context file from scratch, which means they make the same structural mistakes that earlier users already made and corrected. The starter templates encode the lessons from those early mistakes. Using one as a starting point puts you several iterations ahead immediately.


The Skills Worth Installing First

Based on GitHub stars and community feedback, four skills stand out from the rest. The morning briefing skill produces a configurable daily digest of sources you specify , publications, feeds, search queries, newsletters. You define what to watch; the skill tells you what changed since yesterday. The output format is customisable and the source list is entirely yours to define.

The meeting prep skill reads your calendar and prepares context for each upcoming meeting. Before a call, it surfaces relevant background on the people, the topic, and any prior notes or outputs that relate to the meeting subject. People who use it report that the five minutes before a call feel different , the context is already there, not being reconstructed from memory.

The PR review skill reads GitHub pull requests and produces structured feedback across a set of review criteria you define. The criteria are configurable: you can weight it toward security, toward readability, toward test coverage, or toward your team's specific conventions. The competitor monitor skill tracks specified competitor sites and surfaces significant changes , pricing pages, job postings, product announcements, documentation updates , without requiring you to visit those pages yourself.

These four are not the most technically ambitious skills in the repo. They are the most practically useful for the widest range of people, which is why they have the most usage and the most refinement behind them. Start there before exploring the more specialised options.


How to Use the Repo

Fork or clone the repo. Browse the skills directory , each skill has its own folder with a README explaining what it does, what it requires, and what good output looks like. Copy the skills that match your use case into your Hermes skills directory. Edit the configuration sections to reflect your specific context. Test on a simple case before relying on the output for anything consequential.

Most community skills follow the same three-section pattern: context (describe your situation and environment), criteria (describe what good output looks like for your purposes), and examples (two or three samples of the output format you want). Customise those three sections. Leave the instruction logic alone until you understand how it works and have a specific reason to change it.

The configuration sections are clearly marked in each skill file with comments indicating what to change and what to leave. You do not need to read the whole skill to customise it. Find the three sections, replace the placeholder text with your specifics, and test. Most customisations take under thirty minutes.


Understanding the Quality Variance

Community skills range from excellent to mediocre, and the distribution is not uniform. The best ones have been used by many people over many months. They have been refined through real use , edge cases found and handled, output formats adjusted based on feedback, instruction logic tightened where it was producing inconsistent results. They are genuinely good starting points.

The newest skills have not been through that process. A skill added last week might be excellent or it might be a first draft that its author has not stress-tested. The age of a skill is not a perfect indicator of quality, but it is a useful one. A skill that has been in the repo for six months and is still being maintained has survived real use. A skill added three days ago has not.

Before installing a skill, check two things: the date of last update and the number of open issues. A skill last updated eight months ago with fifteen unresolved issues is probably fine for personal use and worth more scrutiny before production. A skill updated last week with no open issues is either very new or very well maintained , read the issues list to tell the difference. Look for issues that describe wrong outputs, not just feature requests.


The CLAUDE.md Templates

The CLAUDE.md starter templates are one of the repo's most underused resources. Most people who set up Hermes Agent write their own context file from scratch, which means they make the same structural mistakes that earlier users already identified and fixed. The starter templates encode those lessons.

There are templates for different professional contexts: developer, writer, analyst, lawyer, operations manager. Each one has been structured to give Hermes the right kind of context for that role , the way the person thinks about problems, the output formats they use, the standards they hold output to. Using one as a base saves the two or three iteration cycles it typically takes to get a context file working well.

The templates are not meant to be used unchanged. They are starting points. Replace the placeholder descriptions with your actual background, your actual preferences, and your actual working standards. The structure is the gift; the content is yours to fill in. Most people get a working context file in under an hour starting from a template. Starting from scratch typically takes a full afternoon and several rounds of revision.


Contributing Back

If you build a skill that works well in your context, the community benefits from you sharing it. The README has contribution guidelines. The bar is not high , the repo wants working skills with clear documentation, not production-hardened code with full test suites.

The skills that have been most valuable to the community were not built by expert developers. They were built by domain practitioners who understood their workflow deeply and translated that knowledge into a skill structure that others could install and customise. A lawyer who built a contract review skill knows more about what that skill needs to check than any generalist engineer would. A financial analyst who built a report automation skill knows the edge cases that matter in that domain.

The contribution process asks for three things: a working skill, a README that explains what it does and what to customise, and two or three example outputs showing what good results look like. If your skill does something specific and useful, that is enough to add real value to the repo.

Share what works. Someone else is working on the same problem.