S4h Creativity Consider Factors logo

S4h Creativity Consider Factors

Organization
human-avatar
s4h-creativity-consider-factors

Apply Edward de Bono's CAF (Consider All Factors) tool to map every relevant factor before making a decision or taking action. Use when the user is about to decide something important, wants to make sure they haven't missed anything, is planning an action and needs to think through consequences, or has been surprised by things they didn't anticipate. CAF is the pre-flight checklist for consequential decisions.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-creativity-consider-factors
Stars
234
Forks
24
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Creativity Consider Factors 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-creativity-consider-factors
  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/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-creativity-consider-factors .claude/skills/s4h-creativity-consider-factors
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Creativity Consider Factors 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 S4h Creativity Consider Factors 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 S4h Creativity Consider Factors 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.

You are facilitating a CAF (Consider All Factors) session using Edward de Bono's CoRT thinking tools. CAF is a systematic attention-directing tool — it ensures that the full range of factors relevant to a decision or situation is mapped before any action is taken.

Why CAF matters

People naturally focus on the factors most salient to them — the ones they know, the ones that relate to their immediate concerns, the ones that confirm their existing view. Other factors — the interests of other people, long-term consequences, resource implications, external constraints — get missed not because they aren't important, but because they weren't in focus.

CAF changes the question from "what should I do?" to "what am I working with?" It is a mapping tool, not an evaluation tool. The goal is completeness, not judgment.

Factor categories to scan

Work through each category systematically. Not all categories will be relevant to every situation — but scan all of them before deciding which ones matter.

People and relationships Who is affected by this decision or action? Whose interests are involved — directly and indirectly? Who has influence over the outcome? Who will carry out the action? Whose cooperation is needed? Who might resist or be harmed?

Resources What resources are required — money, time, attention, skills, materials, infrastructure? What resources are currently available? What is the gap? What other demands are competing for the same resources?

Practical constraints What rules, regulations, or agreements constrain the options? What is technically feasible? What timeline constraints exist? What dependencies must be in place first?

Consequences and side effects What are the immediate consequences of each option? What are the second-order effects — what happens after the first effects? What unintended consequences are possible? What are the long-term implications?

Values and priorities What values are at stake in this decision? Are there competing values in tension? What are the ethical implications? What matters most — and does the proposed action honor that?

Information and uncertainty What do you know with confidence? What is uncertain? What information is missing that would change the decision? What assumptions are you making that might be wrong?

Context and timing Is this the right moment for this action? What is changing in the environment that is relevant? What will be different in three months? What is the history that shapes the current situation?

Your process

Step 1: State the decision or action being considered

Framing check: Confirm the specific challenge or problem before continuing. State what you've identified — the actual decision or action and its key parameters — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the specific decision or action]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Step 2: Scan all factor categories Work through each category above. For each one, generate the relevant factors for this specific situation. Name factors the user probably hasn't considered — these are the tool's primary value.

Step 3: Highlight the most important factors

Before narrowing: Show the complete generated set to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] factors across all categories. Before I select the most significant, are there any you'd flag as especially important, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific factor to include
    • Add a missing one — user will describe it

After mapping everything, identify the 3–5 factors that deserve the most attention — either because they are high-stakes, because they are frequently overlooked, or because they are uncertain in ways that could significantly affect the outcome.

Step 4: Identify what's missing What information would you need to properly assess this situation? What factors exist that you don't currently know enough about?

Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Overlooked factors only — Factors most likely being ignored in this specific situation
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.

Output format

Decision/Action: [What is being considered]

Factor Map:

People and relationships: [relevant factors] Resources: [relevant factors] Practical constraints: [relevant factors] Consequences and side effects: [relevant factors] Values and priorities: [relevant factors] Information and uncertainty: [relevant factors] Context and timing: [relevant factors]

Most important factors: [3–5 factors that deserve most attention, with brief reasoning]

What's missing: [Information gaps or unknown factors that matter]

Notes

CAF is most valuable when it surfaces factors the user didn't think to include. If the factor map only contains things already on the user's radar, it wasn't done thoroughly. Push into the categories that feel less relevant — they often contain the overlooked factor that later turns out to matter most.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "All factors mapped. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-decision-premortem-analysis — Stress-test the plan now that all factors are in view
    • /s4h-resource-allocation-analysis — Allocate resources across the factors identified
    • /s4h-ethics-impact-scan — Scan for ethical impact in the factors surfaced
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Creativity Consider Factors AI skill do?

Apply Edward de Bono's CAF (Consider All Factors) tool to map every relevant factor before making a decision or taking action. Use when the user is about to decide something important, wants to make sure they haven't missed anything, is planning an action and needs to think through consequences, or has been surprised by things they didn't anticipate. CAF is the pre-flight checklist for consequential decisions.

Why use S4h Creativity Consider Factors on TypingMind?

Because you install it once and use it with any model. S4h Creativity Consider Factors 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 S4h Creativity Consider Factors in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-creativity-consider-factors. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Creativity Consider Factors?

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 S4h Creativity Consider Factors?

As many as you like. As long as a model supports skills, you can use S4h Creativity Consider Factors with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Creativity Consider Factors AI skill free?

Yes. It is published on GitHub by human-avatar 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇