AI targeted documentation to enhance models for specific tasks

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AI Skills Library

Skills are AI playbooks — focused markdown documents that teach the FrameworX AI Agent how to build specific solutions. Unlike documentation pages written for humans, skills are written for Claude and contain step-by-step MCP tool calls, JSON payloads, and verification commands.

What Are Skills?

When you ask the AI assistant to build something in FrameworX — "set up alarms," "connect to MQTT," "add anomaly detection" — the assistant searches for a matching skill and follows its instructions. Think of skills as recipes: each one describes exactly what to create, in what order, with what settings, and what to check afterward.

Skills are different from every other type of documentation on this site:

Page Type	Written For	Purpose	Example
Tutorial	Humans	Learn by doing step-by-step	"Your First FrameworX Solution"
How-to Guide	Humans	Solve a specific problem	"How to Configure Modbus TCP"
Reference	Humans + AI	Look up properties and syntax	"AlarmsItems Table Reference"
Solution Example	Humans + AI	Complete working solution to study	"BottlingLine ML Demo"
Skill	AI assistant	Step-by-step playbook the AI follows autonomously	"Alarm Pipeline — Groups, Areas, and Items"

The key difference: you don't read skills yourself (though you can). The AI reads them, then executes the steps on your behalf using MCP tools like write_objects, list_protocols, and get_table_schema.

How it works

You ask: "Add alarms to my solution"
AI searches: search_docs('alarm', labels='skill')
AI finds: Alarm Pipeline skill
AI reads the full skill content
AI executes each step — creating groups, areas, items
AI verifies the result

Quick links

Skill Authoring Guide — Write your own skill
Skill Template Reference — Canonical template to copy
AI MCP for Designer — How the AI connects to Designer

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Official Skills (by Tatsoft)

These skills ship with the product and are maintained by Tatsoft. They cover the most common automation scenarios.

Skill	What It Does	Difficulty
First Solution — Tags, Simulator, and Dashboard	Build a working solution from scratch in 5 minutes	Beginner
Alarm Pipeline — Groups, Areas, and Items	Complete alarm system: groups, areas, items, verification	Intermediate
Edge ML Pipeline — ML.NET Anomaly Detection	Sensor tags → ML model → prediction tags → alarms → dashboard	Advanced
MQTT TagProvider Integration	Connect to MQTT broker, auto-discover topics, build asset-navigation UI	Advanced

User & Community Skills

Integrators and end-users can create custom skills that enforce company standards, project conventions, or industry-specific patterns.

Skill	Author	Purpose
Acme Corp — Tag Naming and Structure Standards	Acme Corp Engineering	Company-specific naming, hierarchy, and unit standards

Want to create your own? See the Skill Authoring Guide for the file format, testing steps, and publishing instructions. Or duplicate the Skill Template Reference page and start editing.

Three Tiers — How Skills Are Discovered

The AI searches for skills in three locations, in priority order. Higher tiers override lower tiers if a skill with the same name exists in multiple places.

Tier	Source	Location	Who Creates Them
1 — User	Your machine	`ProductPaths.Skills/skill-*.md`	You or your integrator
2 — Cached	Downloaded from Tatsoft	`AIKnowledge/skills/skill-*.md`	Tatsoft (auto-updated)
3 — Online	This documentation site	docs.tatsoft.com (pages labeled `skill`)	Tatsoft

Override rule: If you create a skill-alarm-pipeline.md in Tier 1, it replaces the official Tatsoft version. This lets you customize any skill without modifying the original.

Tier 3 works today — the AI searches this Confluence site for pages with the skill label. Tiers 1 and 2 require FrameworX 11.0+ with the local skills system enabled.

Find Skills

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AI Skills Library

What Are Skills?

Find Skills

Official Skills (by Tatsoft)

User & Community Skills

Three Tiers — How Skills Are Discovered

Explore All Skills

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