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Chaos Reduction Session

Community
matyasstoch
chaos-reduction-session

Use when David is mid-day, feels scattered, and wants help collapsing chaos into focus. Triggers on "reduce chaos", "gain clarity", "help me focus on rest of day", "I'm pulled in too many directions", "what should I actually do now". NOT for fresh morning planning (use day-plan for that).

Overview

Publishermatyasstoch
Repositorydavid-skills
Skill namechaos-reduction-session
Stars
61
Forks
11
Bundled files
1
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 matyasstoch on GitHub. Read the source before you install it.

Installation

Install the Chaos Reduction Session 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/matyasstoch/david-skills/tree/main/skills/productivity/chaos-reduction-session
  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/matyasstoch/david-skills.git /tmp/david-skills
mkdir -p .claude/skills
cp -r /tmp/david-skills/skills/productivity/chaos-reduction-session .claude/skills/chaos-reduction-session
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chaos Reduction Session 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 Chaos Reduction Session 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 Chaos Reduction Session 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.

Chaos Reduction Session

Mid-day or mid-task focus reset. David already has things in motion — calls scheduled, tasks half-done, swirl in head. Goal: collapse it into a ranked plan around the actual remaining time window and locked calendar items.

Distinct from day-plan: that's a structured morning 5-question flow starting from Todoist fetch. This is faster, lighter, conversational. Starts from what's swirling in his head right now.

ABSOLUTE RULE — UPDATE THE DAILY FILE AFTER EVERY USER RESPONSE

David said it explicitly: "you are breaking the rule! i told you to update the file after EVERY one of my responses"

This is non-negotiable. After every single user message in a chaos-reduction session, patch work/daily/DD-MM-YYYY.md with the new info, decision, or reorder — BEFORE replying with analysis. The file is the source of truth, not the chat scrollback. If you reply without updating, you've broken the rule.

Reorder decisions especially must be logged with a one-line note in the file's ## Notes section ("Reorder decision (TIME): X moved to #N because Y").

Flow

Step 0 — Create or find today's daily file

  • date to confirm local time and date (David travels timezones).
  • Check work/daily/DD-MM-YYYY.md. If exists, append. If not, create with the priority-list scaffold from work/daily/AGENTS.md rules.
  • Initial file: empty priority list + Notes section with Session goal: reduce chaos, get clarity on rest-of-day focus.

Step 1 — Brain dump (one question)

Ask: "What's swirling in your head right now? Dump everything that's pulling at your attention — tasks, decisions, worries, half-started things. Raw list, no order."

Wait. Save the raw dump into the daily file under ## Brain Dump (raw, unsorted).

Step 2 — Get the time window + locked calendar

Two questions, ONE AT A TIME (never combined — see about-david rules):

  1. "What time is it now and when's your hard stop tonight?"
  2. "What's locked on your calendar today? Calls, meetings — who, when, how long?" (Accept screenshot of calendar.)

After answer: write ## Locked Calendar block in the file. Compute and present the free windows between locked items. This is the most clarifying single move — David sees actual capacity instead of a vague "today".

Step 3 — Rank against constraints

Build the priority list. Rules:

  • Anything with a hard external clock (today's upload, time-locked deliverable) wins.
  • Anything psychologically heavy that nags during deep work goes early — sending the heavy thing first clears the head. (See pitfall #2 below.)
  • Contiguous-context tasks should sit next to each other. E.g., pre-production → recording back-to-back, because the context is warm.
  • Park anything that needs a real block but won't fit today. Don't try to cram a 3-4h "total mess" task into 30-min scraps. Name it explicitly in ## Parked Today with the reason and what it actually needs.
  • Engine call: if a teammate/team isn't taking something seriously, that's a separate problem — don't bundle "fix the human" with "make tangible progress on the work itself".

Present the ranked list with WHY for each item. David pushes back, you adjust.

Step 4 — Reorder discussions

David will often question the order ("should I do X first instead of Y?"). When he asks, give a concise opinion with reasoning. Don't hedge. Don't list pros and cons of both endlessly — pick one, defend it briefly. Then update the file immediately with the new order AND a one-line decision note.

Step 5 — End the session by sending him to do #1

The session is not the goal. Execution is. End with: "Go do #1 right now. [Concrete first action]." Stop talking.

Pitfalls

  1. Updating the file lazily. David caught this. Update after EVERY response. Use patch to modify specific sections — never write_file to overwrite (you'll lose work). Read first if unsure.

  2. Defaulting "deep work first" without considering psychological load. Example: David first ranked pre-production before an important voice note. But the unsent voice note would have nagged during deep work. Correct call was to send the emotional/relational thing first (15 min), then attack deep work with a clean head. Always ask: "Will this nag him during the deep work block?"

  3. Combining two questions into one. David hates this. "What time is it AND what calls do you have?" → reject. Ask one, wait, ask the next.

  4. Building the ranked list without the time window. Without now → hard stop and locked calendar, the ranking is fantasy. Free windows are the actual constraint.

  5. Pre-loading downstream decisions. If a task triggers a follow-up (e.g., voice note → call later, sales email → response handling), do NOT pre-plan the downstream now. Park it. Decide when the trigger fires.

  6. Treating "fix the underperforming teammate" as part of the work task. Separate problem. The work task: make one concrete tangible move on the work itself, not on the human. Bring the human issue to the relevant 1-on-1 / bottlenecks call.

  7. Suggesting Nietzsche / reading / introspection as primary slots. They go in evening low-energy buffer, after main execution. Q2 goals matter but reading is not a deep-work slot.

  8. Sending him off without a concrete first action. "Now go execute" = weak. "Go send the voice note. ~15 min. Then start pre-production." = correct.

  9. When drafting a sensitive message (voice note / hard convo opener), softening for the recipient's comfort. External feedback (from friends/father) will often push for softer phrasing. David is usually optimizing for SIGNAL (her real response to a real question), not for keeping the conversation pleasant. When asked to compare a softened version vs. his version, default to defending his — unless the softer one is genuinely more direct or non-needy. Comfort optimization is a smell. See references/voice-note-drafting.md.

  10. Saving a drafted message to a standalone file too early. When David is actively iterating on phrasing, keep edits in-place in the daily file or scratchpad. Only save to /personal/<topic>/voice-note-DD-MM-YYYY.md (or similar) once the script is locked. Otherwise you create a stale file you have to keep patching.

File update pattern

For each update, use patch with surgical old_string / new_string replacement. Never rewrite the whole priority list section unless reordering — and even then, patch just the numbered list, not the whole file.

When reorder happens, also append to ## Notes:

- **Reorder decision (HH:MMam/pm):** [X] moved to #[N], [Y] moved to #[M]. Reasoning: [one line].

Output style during the session

  • Ultra-concise. Single recommendations with one-line reasoning.
  • No filler. No "great question". No "let's explore".
  • When David asks "which is better?" — pick one, defend in 2-3 lines, move on.
  • Bold key decisions. Plain prose for reasoning.

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 Chaos Reduction Session AI skill do?

Use when David is mid-day, feels scattered, and wants help collapsing chaos into focus. Triggers on "reduce chaos", "gain clarity", "help me focus on rest of day", "I'm pulled in too many directions", "what should I actually do now". NOT for fresh morning planning (use day-plan for that).

Why use Chaos Reduction Session on TypingMind?

Because you install it once and use it with any model. Chaos Reduction Session 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 Chaos Reduction Session in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matyasstoch/david-skills/tree/main/skills/productivity/chaos-reduction-session. 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 Chaos Reduction Session?

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 Chaos Reduction Session?

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

Is the Chaos Reduction Session AI skill free?

It is published on GitHub by matyasstoch. Check the repository for licensing terms. 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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