Agents and skills
Agents and skills are the two tools that turn the general AI colleague into a colleague for your company. This page explains the difference, the division of labor between them and the rules for granting them, which have to be followed strictly.
Both features come from LibreChat. What we add is the grant logic in the admin panel and the operating rules.
Agent and skill, the difference
Section titled “Agent and skill, the difference”| Agent | Skill | |
|---|---|---|
| What it is | a role with fixed equipment | a stored standard process |
| Contains | persona and instructions, a fixed model, a selection of tools | step by step knowledge: which fields, which order, which rules |
| In the context | permanently, as long as you talk to it | only name and short description. The content is loaded on demand |
| Example | “Outlook-Assistent”, which summarizes mail and drafts replies | “How we create a quote”, with mandatory fields and order |
The second point is the important one: a skill costs almost nothing as long as it is not needed. The model only sees the description and uses it to decide whether to load the full text. That is why a skill can be far more detailed than a system prompt.
The division of labor
Section titled “The division of labor”Process knowledge belongs in skills, not in the agent. The agent stays a thin shell: persona, model, tools.
The reason is practical. Skills are plain files, portable and versionable. An agent on the other hand lives in the database of one instance and can neither be created from the configuration nor exported conveniently. Whoever puts their knowledge into agents rebuilds it by hand on every new instance. Whoever puts it into skills copies a file.
You only need an agent of your own once a model card is not enough, for example because a particular connector is firmly intended or a role should get its own set of tools.
Using agents
Section titled “Using agents”Agents appear in the model picker in a submenu of their own. You select the agent like a model card, after which the conversation runs with its instructions and its tools.
An agent may take several steps in sequence, so look something up, read, calculate and only then answer. The number of steps per run is limited.
Who is allowed to build agents
Section titled “Who is allowed to build agents”Using agents is open to everyone in the shipped state. Building agents is a separate permission and is stored in the role editor under “Erstellen & Teilen” (create and share):
| Permission | Meaning |
|---|---|
| “Agents nutzen” (use agents) | select existing agents and work with them |
| “Agents erstellen” (create agents) | build your own agents in the builder |
| “Agents teilen” (share agents) | grant an agent to people or groups |
The usual arrangement: ordinary team members use, a small group builds. That keeps the number of agents manageable and prevents twenty half finished variants of the same assistant from appearing.
Self built agents run exclusively on the EU cards out of the box. That is a deliberate boundary: a self built agent should not accidentally send data through a non EU provider.
How a skill takes effect
Section titled “How a skill takes effect”A skill is a folder with a file SKILL.md. Name and description are at the top, the
instructions below.
The description is the most important field. It decides whether the skill takes hold at all. It should contain the phrasings your team really uses to raise the task (“erstelle eine Offerte”, “erfasse den Auftrag im ERP”). A vague description means the skill never fires.
There are three ways a skill comes into play:
- The model picks it out of the catalog itself, based on the description.
- You call it manually in the chat, through the
$menu. - It is marked as always active. Use that sparingly, because its content is then present in every conversation.
The system prompt obliges the colleague to follow a stored standard process strictly and to name deviations explicitly and have them confirmed. So the skill supplies the knowledge and the prompt the discipline.
Granting skills
Section titled “Granting skills”There are two ways to provide a skill, and they behave differently.
| Route | How | Visible to whom |
|---|---|---|
| Upload in the interface | Admin uploads the skill and shares it deliberately | only the people and groups it was granted to |
| Instance wide provisioning | Admin puts the skill on the server as a file | the whole instance, read only |
The skill catalog is active on the model cards. What is in it, however, is not “everything” but exactly what has been granted to the person in question. On top of that comes the role permission “Skills nutzen” (use skills), which in the panel carries the note “Freigabe pro Person/Rolle, nie pauschal ausrollen” (grant per person or role, never roll out to everyone).
What is shipped
Section titled “What is shipped”A skeleton, not a finished agent.
- Skill contents are not shipped. They contain confidential material and internal processes, and are therefore brought onto the server by hand.
- For standard agents there are example definitions with which a basic set can be created once per instance. They are explicitly marked as a skeleton and are to be checked against the running instance.
The reason for this is a peculiarity of LibreChat: agents cannot be defined in the configuration and there is no export in the builder. The configuration can only reference an agent by its identifier.
For admins
Section titled “For admins”Sharing an agent globally as viewer
Section titled “Sharing an agent globally as viewer”If the agent should additionally be reachable outside the chat, for example in the Outlook add-in, it needs a separate grant for remote access. Which agents are affected can be seen in the panel under “Verwaltung → Remote-Agenten” (administration, remote agents).
Maintaining skills on the server
Section titled “Maintaining skills on the server”-
Put the folder containing
SKILL.mdinto the location provided for it on the server. -
Restart the application, because skills provided instance wide are read at startup.
-
Test, and do it in both directions. Positive: does the skill trigger on the phrasings that are in its description? Negative: does it stay out of unrelated tasks?
Limiting the catalog
Section titled “Limiting the catalog”From about five skills onward it pays to cap the catalog. Otherwise the list of descriptions carried along in every conversation grows and costs tokens in every chat.
The same principle applies to connectors: few, clearly described tools beat many.