QuickApp - Agent skills support

[jgab 2,647]

I have put together agent skills for developing QuickApps (offline). 
These are files added to your coding workspace that contains best practices for coding QuickApps.

Agent skills are a "standard" for most coding environments using agents - copilot, Claude code, Codex etc.
In the past I have coded an MCP for QA support but this is a much better approach. Please delete the MCP if you use it...
The caveat is that these skills assumes that you are using plua to code and test QuickApps. Many skills will use the plua command to to run troubleshooting scripts etc...

 

The instructions below are specifically for vscode/copilot but should be easy to reuse for other AI coding tools.
Just put the

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directory in the proper place for your tool and ask it to add the skills to CLAUDE.md, AGENT.MD etc.
The install-qa-skills prompt is specific for VSCode but your agent can most likely convert it to your agents preferences.

 

Below is for VSCode.

To install the skills you run an agent prompt 'install-qa-skills'. It's also used to update the skills to the latest version.

Before you can run /install-qa-skills, you need this prompt file in your workspace. Run one of these commands from your workspace root, then type /install-qa-skills in Copilot chat.
 

Universal (Python — macOS, Linux, Windows):

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On Windows, replace python3 with python if needed.

macOS / Linux (curl):

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Windows (PowerShell):

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Then in VS Code Copilot Chat: type /install-qa-skills and the agent will download all skills automatically. And the same command to update the skills.

The skills makes the agent aware about the REST API, the Fibaro Lua SDK, best practices, using plua etc.
This will allow the agent to help you create QuickApps from scratch, debug existing QAs, review the code for potential issues etc

An example prompt

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Creates the code below

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Pretty reasonable. It even found an available web api to get the temp. We could improve it by asking 

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...and it will change the code accordingly.
The exact result may vary depending on what LLM model is used. In these examples (and my coding overall) I use Claude Sonnet 4.6.

This is an excellent way to over time add new skills and best practices so the agent becomes smarter - and I will update the skills continuously as I identify these "best practices" and possible issues when coding QAs.
If you find something the agent could handle smarter, let me know in this thread and we can add it to the skill collection. This is the first release so there is a ton of stuff that could be added...
Also, if someone uses this with Claude code or Codex, please share the instructions in this thread. I'm not using Claude myself but maybe in the future. The skill files are available directly from the repo at 

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Edited March 28 by jgab

[jgab 2,647]

Example:

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Output:
 

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[jgab 2,647]

Example:

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Output:

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HC3 UI:

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Edited March 27 by jgab

[jgab 2,647]

Example:

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Output:
 

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...and it seems to work. The UI for the children created are not so nice but at least it's a good start. Some iterations and it could be a reasonable QA...

[Brors94 115]

@jgab Just have to say it! Love your work!

Have been using both codex and Claude the last months  

But just used and "AGENTS.md" File to define workstyle, Ui preferences, code style etc
But for the documentation on the hc3 I have always had to link to forum threads and the fibaro doc (the AI knows alot without it to)
But sometimes it seems to forget how the hc3 lua works sometimes 😅
Testing it on codex and claude, seem like both can use this instructions