Der Hosting Capacity Mitigation

Organization

Power-Agent

der-hosting-capacity-mitigation

Senior power-engineer playbook for distribution DER integration limits. Use whenever rooftop or utility-scale PV, storage, or other DERs push a feeder into voltage rise, reverse power flow, thermal limits, or protection desensitization — or when the question is how much more DER a feeder can host. Triggers on "hosting capacity", "PV on this feeder", "voltage rise from solar", "reverse power flow", or "DER interconnection on distribution". Pairs naturally with OpenDSS and pandapower feeder studies.

Overview

Publisher	Power-Agent
Repository	`PowerSkills`
Skill name	`der-hosting-capacity-mitigation`
Stars	77
Forks	23
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Der Hosting Capacity Mitigation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Power-Agent/PowerSkills/tree/main/powerskills-engineering/skills/der-hosting-capacity-mitigation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Power-Agent/PowerSkills/tree/main/powerskills-engineering/skills/der-hosting-capacity-mitigation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/der-hosting-capacity-mitigation .claude/skills/der-hosting-capacity-mitigation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Der Hosting Capacity 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 Der Hosting Capacity 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 Der Hosting Capacity 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.

DER hosting capacity mitigation

Start by identifying the binding constraint, not by assuming it: hosting capacity is set by whichever of voltage, thermal, or protection binds first on this feeder.

Preferred action order

Confirm the binding constraint with feeder snapshots at minimum load / maximum generation (OpenDSS, pandapower): voltage rise along the feeder, reverse flow at the substation, element loading, and regulator behavior.
Use inverter capability first: Volt-VAR and Volt-Watt curves, fixed power-factor settings, or export limits — these are cheap, fast, and usually recover significant headroom.
Adjust feeder controls next: regulator and LTC setpoints (including reverse-power mode behavior), capacitor switching coordination with the new flow patterns.
Re-check protection: reduced relay reach from DER infeed, sympathetic tripping, fuse-recloser coordination, and anti-islanding behavior under high DER output.
Reinforce last: reconductoring, an added regulator, phase rebalancing, or load/DER transfers — and quantify the hosting-capacity gain per upgrade so the cheapest sufficient fix wins.

Working rules

Study the minimum-load, maximum-generation snapshot; peak-load studies systematically miss DER constraints.
Voltage rise and protection usually bind before thermal on weak feeders — do not stop at a loading check.
Validate any fix across the daily profile (or a time-series run), not a single snapshot; Volt-VAR that fixes noon can misbehave at dusk.
Legacy regulators may misoperate under reverse flow; check their mode explicitly before relying on them.
Route persistent voltage problems to voltage-violation-mitigation and persistent loading problems to thermal-overload-mitigation once the DER-specific levers are exhausted.

Deliver

The binding constraint (voltage, thermal, protection) with the numbers and the snapshot that exposed it.
The mitigation sequence applied, from inverter settings to reinforcement.
The resulting hosting capacity and the first upgrade that buys the next increment.

Frequently asked questions

What does the Der Hosting Capacity Mitigation AI skill do?

Why use Der Hosting Capacity Mitigation on TypingMind?

Because you install it once and use it with any model. Der Hosting Capacity 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 Der Hosting Capacity Mitigation in TypingMind?

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

Which AI models can use Der Hosting Capacity 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 Der Hosting Capacity Mitigation?

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

Is the Der Hosting Capacity 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

DER hosting capacity mitigation

Preferred action order

Working rules

Deliver

Frequently asked questions

Related AI Skills

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