Operations Planning Mitigation logo

Operations Planning Mitigation

Organization
Power-Agent
operations-planning-mitigation

Senior power-engineer playbook for planning and operations optimization problems. Use whenever Egret or PyPSA studies are infeasible, reserve-deficient, congested, too expensive, or heavily curtailed — including escalations from a tool skill's OPF, unit-commitment, or expansion run. Triggers on "OPF infeasible", "not enough reserve", "too much curtailment", or "why is this so expensive". Gives corrective actions — data fixes, simpler screening solves, flexibility, congestion relief — rather than only reporting optimization output.

Overview

PublisherPower-Agent
RepositoryPowerSkills
Skill nameoperations-planning-mitigation
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 Operations Planning Mitigation 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-engineering/skills/operations-planning-mitigation
  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-engineering/skills/operations-planning-mitigation .claude/skills/operations-planning-mitigation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Operations Planning Mitigation 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 Operations Planning Mitigation 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 Operations Planning Mitigation 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.

Operations and planning mitigation

Start with the failed or unsatisfactory optimization result and the constraint set that caused it.

Preferred action order

  1. Fix data quality first: ramps, minimum output, up or down times, reserve requirements, network limits, and time-series assumptions.
  2. Solve a simpler screening case before a larger one: DC before AC, dispatch before unit commitment, operations before expansion.
  3. Add flexibility: storage, demand response, fast-start units, or revised reserve products.
  4. Relieve congestion with topology, transmission expansion, or better siting.
  5. Relax constraints or add slack variables only with explicit penalties and a clear explanation.

Working rules

  • Do not call a system infeasible before checking data consistency.
  • Separate economic congestion from physical AC infeasibility.
  • Validate promising fixes in an AC tool when voltage or reactive limits matter.

Deliver

  • The main binding constraints or infeasibility cause.
  • The best near-term operational fix.
  • The longer-term planning measure if the issue persists.

Frequently asked questions

What does the Operations Planning Mitigation AI skill do?

Senior power-engineer playbook for planning and operations optimization problems. Use whenever Egret or PyPSA studies are infeasible, reserve-deficient, congested, too expensive, or heavily curtailed — including escalations from a tool skill's OPF, unit-commitment, or expansion run. Triggers on "OPF infeasible", "not enough reserve", "too much curtailment", or "why is this so expensive". Gives corrective actions — data fixes, simpler screening solves, flexibility, congestion relief — rather than only reporting optimization output.

Why use Operations Planning Mitigation on TypingMind?

Because you install it once and use it with any model. Operations Planning Mitigation 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 Operations Planning Mitigation in TypingMind?

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

Which AI models can use Operations Planning Mitigation?

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 Operations Planning Mitigation?

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

Is the Operations Planning Mitigation 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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