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Andes

Organization
Power-Agent
andes

Progressive-disclosure workflow for ANDES dynamic studies. Use whenever the user wants to run ANDES through PowerMCP for power flow, small-signal / eigenvalue analysis, or time-domain simulation — even when they just say "check the damping", "is this stable", "run a fault", or "look at the oscillation modes". Exposes a solved base case before eigenvalue screening and time-domain runs. Reach for this instead of answering ANDES dynamics questions unaided.

Overview

PublisherPower-Agent
RepositoryPowerSkills
Skill nameandes
Stars
77
Forks
23
Bundled files
Instructions only
LicenseMIT
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 Power-Agent on GitHub. Read the source before you install it.

Installation

Install the Andes 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/Power-Agent/PowerSkills/tree/main/powerskills-tool/skills/andes
  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/Power-Agent/PowerSkills.git /tmp/PowerSkills
mkdir -p .claude/skills
cp -r /tmp/PowerSkills/powerskills-tool/skills/andes .claude/skills/andes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Andes 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 Andes 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 Andes 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.

ANDES workflow

Expose ANDES tools in stages. Do not jump into dynamics until the base case is loaded, solved, and understood.

Default tool ladder

  1. run_power_flow(file_path) to load the case and solve the steady-state point.
  2. get_system_info() to summarize buses, generators, dynamic states, and controls.
  3. run_eigenvalue_analysis(file_path) to screen oscillatory modes and poor damping.
  4. run_time_domain_simulation(step_size, t_end) only after the disturbance and success criteria are explicit.

Example sequence

Illustrative run on an ANDES-bundled case:

run_power_flow("ieee14.xlsx")           -> base case solved, 14 buses, 5 generators
get_system_info()                       -> dynamic models, governor and exciter types
run_eigenvalue_analysis("ieee14.xlsx")  -> dominant mode 0.42 Hz, damping 3.1%
run_time_domain_simulation(0.01, 10.0)  -> generator trip at t=1s, monitor rotor angles

The 3.1% damping is below the ~5% screening threshold, so this case escalates to dynamic-stability-mitigation rather than stopping at "the modes look weak".

Working rules

  • Re-run the base power flow after any model or dispatch change before dynamic work.
  • State the disturbance, clearing time, monitored channels, and pass or fail criteria before time-domain runs.
  • Treat eigenvalue results as screening. Confirm critical cases in time domain.

Escalation triggers

Quote the failing metric (mode + damping ratio, channel + recovery time) rather than saying "it is unstable".

ObservationEscalate to
Eigenvalue with damping ratio below ~5% or any right-half-plane modedynamic-stability-mitigation
Time-domain run shows growing angles, sustained oscillations, or failed voltage recoverydynamic-stability-mitigation
Base power-flow voltages outside [0.95, 1.05] puvoltage-violation-mitigation
Frequency nadir, RoCoF, or settling frequency violates its limit after a generation-loss eventfrequency-response-mitigation

Deliver

  • The case used and whether the base case solved.
  • The dynamic issue being checked.
  • The main result and whether mitigation is now required.

Frequently asked questions

What does the Andes AI skill do?

Progressive-disclosure workflow for ANDES dynamic studies. Use whenever the user wants to run ANDES through PowerMCP for power flow, small-signal / eigenvalue analysis, or time-domain simulation — even when they just say "check the damping", "is this stable", "run a fault", or "look at the oscillation modes". Exposes a solved base case before eigenvalue screening and time-domain runs. Reach for this instead of answering ANDES dynamics questions unaided.

Why use Andes on TypingMind?

Because you install it once and use it with any model. Andes 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 Andes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Power-Agent/PowerSkills/tree/main/powerskills-tool/skills/andes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Andes?

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 Andes?

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

Is the Andes AI skill free?

Yes. It is published on GitHub by Power-Agent under the MIT 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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