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Energy Management

Community
cnfeat
energy-management

Help users manage their energy for sustained performance. Use when someone is feeling burned out, trying to find their zone of genius, scheduling for productivity, or identifying what drains vs energizes them.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameenergy-management
Stars
55
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Energy Management 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/energy-management
  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.

Use it in TypingMind

Enable Energy Management 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 Energy Management 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 Energy Management 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.

Energy Management

Help the user manage their energy for sustained performance using frameworks from 5 product leaders who have optimized their personal productivity and avoided burnout.

How to Help

When the user asks for help with energy management:

  1. Diagnose the current state - Help them identify what's draining vs energizing them
  2. Audit their calendar - Review how they're spending time and categorize by energy impact
  3. Design for their superpowers - Help them spend more time in their zone of genius
  4. Create sustainable rhythms - Build routines that protect energy over time

Core Principles

Schedule for energy, not just time

Anneka Gupta: "Being able to manage my energy levels and figuring out how to schedule my time for my energy has really allowed me also to figure out how to have that abundant mindset in all situations." Manage mental and emotional energy, not just calendar slots.

Identify energy drivers and drains

Bob Moesta: "Think of moments where you actually go into a situation and you get energy from it. At the same time, those moments where you go in and you get the life sucked out of you - that's an experience." Use this framework to identify what to pursue and what to delegate.

Audit your calendar by energy impact

Claire Vo: "Categorize the way you're spending your time into those buckets, and then put the bottom buckets away. Just focus on that top bucket and go, 'How can I be here more?'" Find your 'zone of genius' work and delegate energy-zapping tasks.

Use superpowers to create energy

Donna Lichaw: "If you subscribe to this idea of managing your energy, not your time, this will help you do that. If you're using your superpowers, you will have more energy." Working in your strengths generates energy rather than depleting it.

Pay attention to post-activity energy

Paul Millerd: "Pay really close attention to what gives you energy after you do the thing. Say you have a call. Did that give you energy or did that sap you of energy?" Track what energizes vs saps you after every interaction or task to guide career direction.

Questions to Help Users

  • "What activities give you energy after you do them?"
  • "What's on your calendar this week that you're dreading?"
  • "If you categorized your work by energy impact, what would be in the 'zone of genius' bucket?"
  • "Are you using your superpowers regularly, or mostly doing things that drain you?"
  • "What could you delegate to create space for energy-giving work?"

Common Mistakes to Flag

  • Ignoring energy signals - Pushing through energy drains without addressing the root cause
  • Optimizing only for time - Filling calendars efficiently without considering energy impact
  • Avoiding delegation - Holding onto draining tasks because 'it's faster if I do it'
  • No recovery time - Scheduling back-to-back draining activities without breaks
  • Treating all tasks equally - Not distinguishing between work that energizes vs depletes

Deep Dive

For all 5 insights from 5 guests, see references/guest-insights.md

Related Skills

  • Running Effective 1:1s
  • Having Difficult Conversations
  • Delegating Work
  • Managing Up

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Energy Management AI skill do?

Help users manage their energy for sustained performance. Use when someone is feeling burned out, trying to find their zone of genius, scheduling for productivity, or identifying what drains vs energizes them.

Why use Energy Management on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/energy-management. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Energy Management?

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 Energy Management?

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

Is the Energy Management AI skill free?

Yes. It is published on GitHub by cnfeat 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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