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Hvdc Facts

Community
npuzsy
hvdc-facts

Use when working on Simulink or Simscape Electrical HVDC and FACTS models, including VSC-HVDC, LCC-HVDC, STATCOM, SVC, UPFC, transmission-system controls, power-flow regulation, and grid disturbance studies.

Overview

Publishernpuzsy
Repositorysimulink-power-electronics
Skill namehvdc-facts
Stars
101
Forks
6
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by npuzsy on GitHub. Read the source before you install it.

Installation

Install the Hvdc Facts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/npuzsy/simulink-power-electronics/tree/master/subskills/hvdc-facts
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/npuzsy/simulink-power-electronics.git /tmp/simulink-power-electronics
mkdir -p .claude/skills
cp -r /tmp/simulink-power-electronics/subskills/hvdc-facts .claude/skills/hvdc-facts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hvdc Facts in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hvdc Facts on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hvdc Facts is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HVDC And FACTS

Status

Stub. Use this file only to recognize HVDC/FACTS scope and choose evidence to collect. Apply the root workflow; this repository does not yet provide HVDC/FACTS-specific validation rules.

Scope

  • VSC-HVDC and LCC-HVDC systems
  • STATCOM, SVC, UPFC, and related FACTS devices
  • transmission-level power-flow and voltage regulation
  • grid disturbance, protection, and recovery studies
  • converter station control and measurement paths

Evidence To Collect

  • device type, converter station topology, network model, control mode, and operating point
  • DC voltage/current, AC voltage/current, active/reactive power, firing/modulation, and protection signals
  • disturbance, setpoint step, fault, or recovery scenario used for validation
  • measurement bases, per-unit assumptions, and control-mode transitions

Promote When

Promote only after adding transmission-system workflows, validation metrics, disturbance scenarios, and checks for converter station controls.

Frequently asked questions

What does the Hvdc Facts AI skill do?

Use when working on Simulink or Simscape Electrical HVDC and FACTS models, including VSC-HVDC, LCC-HVDC, STATCOM, SVC, UPFC, transmission-system controls, power-flow regulation, and grid disturbance studies.

Why use Hvdc Facts on TypingMind?

Because you install it once and use it with any model. Hvdc Facts is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hvdc Facts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/npuzsy/simulink-power-electronics/tree/master/subskills/hvdc-facts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hvdc Facts?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hvdc Facts?

As many as you like. As long as a model supports skills, you can use Hvdc Facts with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hvdc Facts AI skill free?

Yes. It is published on GitHub by npuzsy under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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