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Lateral

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danium
lateral

Lateral thinking toolkit router — when you're stuck, going in circles, need fresh ideas, or standard brainstorming keeps producing predictable results, this diagnoses the symptom and applies the right technique from the toolkit (random-stimulus, provocation, inversion, concept-fan, analogy, scamper, six-hats, worst-idea). Triggers include "lateral thinking", "I'm stuck on a creative problem", "we're going in circles", "need fresh ideas", "try a different angle", "break out of the box", "ideas all feel the same", "predictable brainstorm". Do NOT use for analytical work like debugging, code review, or implementation tasks.

Overview

Publisherdanium
Repositorylateral-thinking
Skill namelateral
Stars
325
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 danium on GitHub. Read the source before you install it.

Installation

Install the Lateral 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/danium/lateral-thinking/tree/main/skills/lateral
  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/danium/lateral-thinking.git /tmp/lateral-thinking
mkdir -p .claude/skills
cp -r /tmp/lateral-thinking/skills/lateral .claude/skills/lateral
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lateral 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 Lateral 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 Lateral 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.

Lateral

What this does

Being stuck has shapes. Ideas that all feel the same is a different problem from a constraint that feels unbreakable, which is different again from suspecting you are solving the wrong problem. Each shape has a technique that fits it.

This skill diagnoses the symptom, picks exactly one technique, and runs it inline. It is a router, not a technique of its own.

Decision table

SymptomTechnique
Ideas all feel the same; brainstorm output is predictablerandom-stimulus
A constraint or rule feels unbreakableprovocation
Requirements assume things nobody has questionedinversion
We might be solving the wrong problemconcept-fan
The solution works but feels derivativeanalogy
We have one idea and need variationsscamper
A decision is being made too fast / everyone agreessix-hats
Everything feels timid, safe, cautiousworst-idea

Routing procedure

  1. Diagnose. Match the user's symptom to the table. If the symptom is unclear, ask exactly one focused question — do not interrogate.
  2. Pick exactly one technique. Never route to a second technique in the same pass. If another looks promising, offer it as a next move once the first has finished.
  3. Read ../<technique>/SKILL.md — relative to this file — and follow it inline. Do not invoke it as a separate skill; read the file and execute its workflow yourself, including its honesty mechanics.
  4. Refuse analytical work politely. Debugging, code review, and implementation are not creative targets. Suggest an analytical approach instead. Redesigning or ideating about such a process is a valid creative target: "reinvent our code-review ritual" is in scope; "review this PR" is not.

If the target itself is unclear, the chosen technique's own Step 1 will ask for it. Do not ask twice.

If the technique file is missing

A partial install may leave this router without its siblings. Do not fail — run a degraded session from the condensed core loop below, then tell the user:

This is the condensed version of the technique. The full skill carries reference material — stimulus pools, question banks, worked examples — that makes the session substantially better. To install the complete toolkit: npx skills add danium/lateral-thinking

Condensed core loops

random-stimulus — Pick 8–12 random unrelated things across at least five categories. List each one's properties. Force a connection to the target. Keep an idea only if you could not have reached it without the stimulus; abandon the rest visibly. Scan hits and abandonments for a meta-pattern.

provocation — State 4–6 deliberately wrong assertions about the problem: escape a rule, reverse a relationship, exaggerate a quantity, distort the sequence, assert a wishful fantasy as fact. Extract movement from each — the principle inside it, what would happen moment to moment, what differs from today. Shape live threads into ideas.

inversion — List 5–8 assumptions behind the current approach. Flip each into its strongest plausible opposite. Ask where each flip is already true, and who profits from it today. Develop the survivors; mark the dead flips dead.

concept-fan — Ask "what is this a way of doing?" twice to climb to broader concepts. At each level, fan out 3–4 alternative concepts that serve the level above. Drop back down to concrete implementations for the promising ones. Prune branches that are the original wearing a coat of paint.

analogy — State the problem's structure in one sentence: actors, flows, bottleneck. Pick 3–5 structurally similar domains distant from the target. Map the roles. Transfer what each domain does about the bottleneck — mechanisms, not aesthetics.

scamper — Run the existing idea through Substitute, Combine, Adapt, Modify, Put-to-other-use, Eliminate, Reverse. Three to four pointed questions each; answer only the ones that bite. Empty operations are normal — show them empty. Collect the hits into concrete variants.

six-hats — Take the decision through six unblended passes: White (facts and missing data), Red (gut feelings, unjustified), Black (risks tied to mechanisms), Yellow (benefits tied to mechanisms), Green (alternatives, one abandoning the premise), Blue (synthesis with a confidence level).

worst-idea — Design 5–8 genuinely terrible solutions, each plausible enough that someone has shipped it. Name the mechanism that makes each one bad. Invert the mechanisms — not the ideas — into features.

What NOT to do

  • Don't run two techniques in one pass. Offer the second as a next move.
  • Don't skip the chosen technique's honesty mechanics. The visible abandonments are the point; a session where everything works is a session that was faked.
  • Don't push the user toward a decision. These techniques diverge. Convergence belongs to the user.
  • Don't route analytical work anywhere. Refuse it and say why.

Frequently asked questions

What does the Lateral AI skill do?

Lateral thinking toolkit router — when you're stuck, going in circles, need fresh ideas, or standard brainstorming keeps producing predictable results, this diagnoses the symptom and applies the right technique from the toolkit (random-stimulus, provocation, inversion, concept-fan, analogy, scamper, six-hats, worst-idea). Triggers include "lateral thinking", "I'm stuck on a creative problem", "we're going in circles", "need fresh ideas", "try a different angle", "break out of the box", "ideas all feel the same", "predictable brainstorm". Do NOT use for analytical work like debugging, code r...

Why use Lateral on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danium/lateral-thinking/tree/main/skills/lateral. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lateral?

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 Lateral?

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

Is the Lateral AI skill free?

Yes. It is published on GitHub by danium 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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