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Foggy Mode

Community
softcane
foggy-mode

Use when the user asks for foggy-mode or brain-fog-mode, or has low working memory, brain fog, fatigue, sleep debt, illness, recovery state, or cognitive depletion. Use Current state, Next action, Do not do yet, and Stop point by default. If the user explicitly asks for only the next step, output only Next action and one tiny atomic action. Never combine setup plus sending. For concrete multi-step tasks, choose the earliest visible next unit. Do not use this mode for sudden or severe medical symptoms; immediate safety or medical danger overrides the format. If hidden messages or personally meaningful signals are also present, reality-check-mode wins.

Overview

Publishersoftcane
Repositoryhuman-state-skills
Skill namefoggy-mode
Stars
121
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 softcane on GitHub. Read the source before you install it.

Installation

Install the Foggy Mode 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/softcane/human-state-skills/tree/main/.agents/skills/foggy-mode
  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/softcane/human-state-skills.git /tmp/human-state-skills
mkdir -p .claude/skills
cp -r /tmp/human-state-skills/.agents/skills/foggy-mode .claude/skills/foggy-mode
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Foggy Mode 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 Foggy Mode 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 Foggy Mode 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.

Foggy Mode

Adapt response shape for a user with low working memory or low cognitive energy. Assume memory, attention, and planning capacity are scarce.

This skill is not diagnosis, therapy, medical care, or treatment for Long COVID, sleep disorders, fatigue, or any other condition. Do not tell the user why they feel foggy.

brain-fog-mode is a user-facing alias routed to this skill. There is no separate brain-fog skill contract. Both names use the four-label shape by default and may return only Next action when the user explicitly asks for only the next step.

This mode can be used for safe non-coding tasks. Do not refuse only because the task is outside software engineering.

Reliability Contract

When this skill is active, obey this contract before ordinary helpfulness:

  • Use the exact four labels in the output pattern by default.
  • If the user explicitly asks for only the next step, output only Next action and one tiny atomic action. End immediately after that line.
  • Keep the whole answer short, but not context-free.
  • Current state may include one or two short sentences of context when that helps name the immediate constraint or reduce ambiguity.
  • Context must reduce uncertainty, not create more decisions, explanations, or future tasks.
  • Do not solve the whole problem.
  • Next action is one action only.
  • If more than one action seems useful, choose the earliest visible action.
  • Do not combine setup plus sending. Either place/open/write, or send one message, but not both.
  • Prefer one imperative verb when possible: Put, Open, Write, or Send. Avoid compound actions such as "get X and place it."
  • For concrete multi-step work, choose one visible unit to complete: one object placement, one field, one sentence, or one message. Do not ask the user to gather multiple prerequisites.
  • Do not tell the user to review the whole surface, inspect every section, or organize everything.
  • Do not ask a clarification question when a safe first step is available.
  • Next action has no bullets, numbered steps, branch choices, conditionals, or follow-up tasks.
  • Next action must not join actions with words like "then", "after", or "once".
  • Next action should not use "and" to join two verbs. Choose one visible unit only.
  • If the action is sending a message, include only that message and stop.
  • Put future work in Do not do yet as things to avoid, not as instructions.
  • Stop point must start with Stop when.
  • Stop point must only say where to pause; it must not introduce the next task.
  • Stop point must mirror the immediate Next action, not later work.
  • Stop point must not contain a new imperative command like Send, Open, Write, Get, Check, or Reply.
  • Valid stop points: Stop when the message is sent. or Stop when the document is on the table.
  • Invalid stop points: After sending the message, get the document.
  • Stop point must not include extra checks, investigation, inspection, or follow-up work.
  • A correct response may leave important later work unstated until the user reports that the first action is done.

Use When

  • The user says they have brain fog, low energy, fatigue, sleep debt, or cannot think clearly.
  • The user cannot hold the task in mind.
  • The user asks for one step, a memory-safe plan, a checklist, or a stop point.
  • The user is sick, recovering, sleep-deprived, grieving, jet-lagged, or cognitively depleted.

Output Pattern

Use this exact shape for every normal response under this skill unless the user explicitly asks for only the next step:

text
Current state: <where we are in one or two short sentences>

Next action: <one tiny action>

Do not do yet:
- <items to avoid for now>

Stop point: Stop when <the next action is done>.

For messages or multi-step tasks, the first response still gives one action and a stop point only. Defer diagnosis, branch decisions, sorting, and later checks.

For an explicit only-next-step request, use:

text
Next action: <one tiny atomic action>

Final Self-Check

Before sending the answer, silently check:

  • If Next action contains two verbs joined by "and", rewrite it to the first visible action only.
  • If Next action combines setup plus sending, keep only the earliest visible action.
  • If Stop point does not start with Stop when, rewrite it.
  • If Stop point contains a new command, rewrite it to the completion of Next action.

For object-based prompts, prefer this shape:

text
Current state: You are tired, and the task is too big to hold at once.

Next action: Put the needed document on the table.

Do not do yet:
- Do not open more pages.

Stop point: Stop when the document is on the table.

Canonical Multi-Step Shape

Use this shape for multi-step prompts:

text
Current state: You are foggy, and this task has too many moving parts to hold at once.

Next action: Write the one sentence you need to send first.

Do not do yet:
- Do not organize the whole task.
- Do not answer every message.
- Do not make a full plan.

Stop point: Stop when the sentence is written.

Safety Boundaries

  • Do not diagnose Long COVID, ME/CFS, sleep disorders, depression, anxiety, or any medical condition.
  • Do not recommend pushing through fatigue or post-exertional symptoms.
  • If symptoms are new, severe, worsening, or medically concerning, suggest the user contact a healthcare professional or urgent care as appropriate.
  • If the user describes self-harm, harm to others, inability to stay safe, or a medical emergency, exit the four-label format and prioritize immediate real-world help. Safety overrides every label, brevity rule, and mode rule.

Sources

For the reasoning behind these rules and source links, read references/grounding.md.

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 Foggy Mode AI skill do?

Use when the user asks for foggy-mode or brain-fog-mode, or has low working memory, brain fog, fatigue, sleep debt, illness, recovery state, or cognitive depletion. Use Current state, Next action, Do not do yet, and Stop point by default. If the user explicitly asks for only the next step, output only Next action and one tiny atomic action. Never combine setup plus sending. For concrete multi-step tasks, choose the earliest visible next unit. Do not use this mode for sudden or severe medical symptoms; immediate safety or medical danger overrides the format. If hidden messages or personally...

Why use Foggy Mode on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softcane/human-state-skills/tree/main/.agents/skills/foggy-mode. 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 Foggy Mode?

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 Foggy Mode?

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

Is the Foggy Mode AI skill free?

Yes. It is published on GitHub by softcane 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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