Agent skill

decide

Quellcode ansehen: coreyhaines31/makerskills

#201Globales Ranking · von 201 SkillsSafe

Installation

npx skills add coreyhaines31/makerskills --skill decide

408

Installationen

EU-hosted inference API

Power your AI agent skills with open-source models.

Drop-in OpenAI-compatible API. No data leaves Europe.

MiniMax

MiniMax M3

$0.40 / $1.40

per M tokens

Z.ai

GLM 5.3 Flash

$0.20 / $0.60

per M tokens

MoonshotAI

Kimi K3

$4.00 / $18.00

per M tokens

DeepSeek

DeepSeek V4.1 Flash

$0.40 / $1.40

per M tokens

/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 door Q14 (is there a wrong decision?), Q17 (knock-on effects), Q34 (principles bent)
Time pressure Q5 (why hesitating?), Q15 (different tomorrow?), Q22 (when do we have to decide?)
Multiple people involved Q21 (someone else's practice rep?), Q27 (would another opinion help?), Q35 (multiple people deciding what one should?)
Lots of data / analysis Q19 (what missing info would change it?), Q26 (data vs gut?), Q9 deepened
Recurring decision Q11 (last time?), Q23 (one-and-done or repeating?)
Customer-facing Q24 (anyone outside depending?), Q25 (customer vs us impact?)
Money decision Q38 (in the end, is this about money?), Q36 (return on effort?), Q39 (what does yes displace?)
Big time / focus commitment Q39 (opportunity cost), Q36 (return on effort?), Q20 (creates or eliminates work?)
Stuck / not deciding Q4 (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:

# 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):

- 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 compound-engineering:schedule)
  • 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.

Installationen

Installationen408
Globales Ranking#201 von 201

Sicherheitsprüfung

athSafe
socketSafe
Warnungen: 0Bewertung: 90
snykLow
WEB DATA FOR AGENTS

Give agents clean web context

Search and extract the public web as Markdown or structured JSON through one API or hosted MCP server.

Explore Webstractor

So verwenden Sie diesen Skill

1

Install decide by running npx skills add coreyhaines31/makerskills --skill decide in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für decide, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.