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Decide

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coreyhaines31
decide

When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.

Overview

Publishercoreyhaines31
Repositorymakerskills
Skill namedecide
Stars
855
Forks
71
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 coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Decide 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/coreyhaines31/makerskills/tree/main/skills/decide
  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/coreyhaines31/makerskills.git /tmp/makerskills
mkdir -p .claude/skills
cp -r /tmp/makerskills/skills/decide .claude/skills/decide
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Decide 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 Decide 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 Decide 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.

/decide — Structured decision workflow + archive

Picks load-bearing questions from the 37signals guide, walks through them, reaches a call, archives the rationale with a revisit date.

Step 1 — Capture the decision

Get from the user:

  • The decision in one sentence (what are we deciding between?)
  • Stakes: low / medium / high (how much does this matter?)
  • Reversibility: easy / hard / one-way door
  • Deadline: when does this need to be decided? Or "open"?
  • Context (optional, 1–3 sentences)

If any are missing, ask. Don't proceed with vague framing.

Step 2 — Triage the question set

Read references/questions.md for the full set (the 37signals 38 + house additions, e.g. Q39 opportunity cost) and category mapping. Pick 6–8 based on the decision's characteristics:

Default 5 (always ask):

  • Q1 — Does this decision actually need to be made?
  • Q2 — Is the right person making this decision?
  • Q8 — How easily can we reverse it?
  • Q9 — First instinct? (capture before "thinking" muddies it)
  • Q3 — A year from now, how will we feel about this?

Add based on type:

If…Add
Reversibility = hard / one-way doorQ14 (is there a wrong decision?), Q17 (knock-on effects), Q34 (principles bent)
Time pressureQ5 (why hesitating?), Q15 (different tomorrow?), Q22 (when do we have to decide?)
Multiple people involvedQ21 (someone else's practice rep?), Q27 (would another opinion help?), Q35 (multiple people deciding what one should?)
Lots of data / analysisQ19 (what missing info would change it?), Q26 (data vs gut?), Q9 deepened
Recurring decisionQ11 (last time?), Q23 (one-and-done or repeating?)
Customer-facingQ24 (anyone outside depending?), Q25 (customer vs us impact?)
Money decisionQ38 (in the end, is this about money?), Q36 (return on effort?), Q39 (what does yes displace?)
Big time / focus commitmentQ39 (opportunity cost), Q36 (return on effort?), Q20 (creates or eliminates work?)
Stuck / not decidingQ4 (why hasn't it been made already?), Q10 (what if we don't decide?), Q31 (do you even care?)

Cap at ~8 questions. More than that turns into analysis paralysis (which is itself one of the things this skill exists to prevent).

Tell the user which questions you picked and why, then proceed.

Step 3 — Walk through

Ask the questions one at a time, or in a tight cluster if the user wants to write fast. Capture their answers verbatim — don't paraphrase into corporate-speak.

For Q9 (first instinct), get the answer BEFORE diving into analysis. The point is to surface the gut call so we can later check if "analysis" was just rationalization.

Step 4 — Reach a call

Synthesize the answers into a decision. Options:

  • Decide now — answers point to a clear call
  • Decide smaller — break into 2–3 smaller decisions (Q7)
  • Wait — flag what info / time would change the answer (Q19, Q15)
  • Don't decide — the decision doesn't need to be made (Q1, Q10)
  • Wrong person — kick to the right decider (Q2, Q35)

State the call clearly. No hedging.

Step 5 — Set the revisit

Pick a revisit date based on when consequences would show up:

  • Decisions about tools/processes: 30 days
  • Decisions about strategy/positioning: 90 days
  • Decisions about hires/partnerships: 90–180 days
  • Decisions about products/launches: 30–60 days post-launch

Write what to look for on the revisit ("did MRR move? did the partner ship? do clients still ask for X?").

Step 6 — Archive

Archives live in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/decide/archive/ (create the directory if missing). Never write archives inside the skill's own folder — skill installs and upgrades re-sync from source and wipe anything saved there.

Migration: if this skill's folder contains an old references/decisions-archive/ with user entries, move those files into the archive directory before writing anything new.

Write to <archive dir>/<YYYY-MM-DD>-<slug>.md:

markdown
# Decision: <one-line>

**Date:** YYYY-MM-DD
**Decide by:** <date or "open">
**Reversibility:** easy / hard / one-way door
**Stakes:** low / medium / high

## Context
<1–3 sentences>

## Questions

### <Q3 phrasing>
<answer>

### <Q8 phrasing>
<answer>

(only questions actually applied — heading is the question text, not "Q3")

## Decision
**<the call, stated clearly>**

## Rationale
<2–3 sentences synthesizing the answers>

## Expected outcome
<what should be true if this was right, by <date>>

## Revisit
**<YYYY-MM-DD>** — <what to look for>

## Source
Questions adapted from [The 37signals Guide to Making Decisions](https://37signals.com/how-we-make-decisions)

Append to <archive dir>/INDEX.md (create if missing):

markdown
- 2026-06-16 — [<decision>](./<filename>.md) — **<call>** — <one-line rationale> — revisit 2026-09-16

Step 7 — Surface

Show the archive entry in chat. Tell the user the archive path. Offer:

  • "Want me to schedule a /loop reminder for the revisit date?" (would use the loop skill to fire at the right time)
  • "Push to Notion as a decision card?"
  • "Need a follow-up decision after this one?"

Future enhancements

  • Auto-create a calendar event or cron reminder for the revisit (via your agent's scheduler if it has one, e.g. compound-engineering:schedule in Claude Code; otherwise a calendar event)
  • Composable with business-brainstorm — brainstorm scores the idea on 9 dimensions; decide formalizes the go/no-go after
  • Grep past decisions for patterns ("show me decisions I made that were marked 'easy reverse' but didn't reverse")

Composes with

  • business-brainstorm — brainstorm → decide is a natural pipeline for "should I build X"
  • deep-research — when a decision is waiting on info (Q19), trigger research first
  • Memory — load feedback_*.md for principles that might be at play (Q34)
  • loop / compound-engineering:schedule — for revisit reminders

Notes on quality

  • Don't ask all 38. The point of triage is to skip questions that don't apply. Eight relevant questions > thirty-eight padded ones.
  • Don't soften the call. "Probably yes, lean toward, maybe should" wastes the skill. Pick.
  • The first instinct (Q9) is sacred. Always capture it before analysis. If the final call differs from the first instinct, the rationale needs to explain why — that's the whole point of the question.
  • Archive every decision, even small ones. The compounding value comes from being able to grep "what did I decide about pricing last year" — and that requires writing them down even when they feel obvious in the moment.

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 Decide AI skill do?

When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me de...

Why use Decide on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/makerskills/tree/main/skills/decide. 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 Decide?

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 Decide?

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

Is the Decide AI skill free?

Yes. It is published on GitHub by coreyhaines31 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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