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Best In World Research

Community
stevembarclay
best-in-world-research

World-class practice research. This skill should be used when the user asks what the best in the world does about a specific problem, technique, or situation — covering product, engineering, design, marketing, compliance, operations, org design, and any other domain. Use when the goal is to understand elite-tier practice, not to make a strategic decision. Distinct from best-in-world-strategy, which is for choosing between options.

Overview

Publisherstevembarclay
Repositorypencilplaybook
Skill namebest-in-world-research
Stars
52
Forks
3
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 stevembarclay on GitHub. Read the source before you install it.

Installation

Install the Best In World Research 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/stevembarclay/pencilplaybook/tree/main/.claude/skills/best-in-world-research
  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/stevembarclay/pencilplaybook.git /tmp/pencilplaybook
mkdir -p .claude/skills
cp -r /tmp/pencilplaybook/.claude/skills/best-in-world-research .claude/skills/best-in-world-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Best In World Research 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 Best In World Research 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 Best In World Research 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.

Best-In-World Research

Surface what elite practitioners actually do. Concise by default. Rigorous always.

The Question This Skill Answers

"What does the best in the world do about [X]?"

This is a research question, not a strategy question. The output is an expert brief — not a decision framework. Use best-in-world-strategy when the goal is to choose between options with tradeoffs scored. Use this skill when the goal is: what does excellent look like here?

Mode Selection

Determine mode before responding:

  • Simple or directional question → Quick mode automatically. Do not ask.
  • Open-ended or "I don't know where to start" question → Ask: "Quick answer or comprehensive breakdown?" before responding.
  • User says "quick" / "fast" / "brief" → Quick mode.
  • User says "deep" / "comprehensive" / "full" → Deep mode.

Quick Mode (default for most questions)

Answer in expert voice. No headers. No bullet scaffolding unless the question naturally has a list answer. Conversational but authoritative — like you're quoting the person who spent 25 years solving exactly this problem.

Quick mode rules:

  • Name who: the specific company, team, person, or practitioner archetype that owns this domain. Not "top SaaS companies." Specific.
  • State what they do: observable behavior, not belief. "They do X" not "they believe in Y."
  • Give the mechanism: one sentence on why it works.
  • Flag confidence if inferred: note when a practice is attributed vs. confirmed by primary source.
  • Length: 2–4 short paragraphs or 4–6 bullets. No longer.

Example quick answer tone:

"If you asked the team that built Stripe's API, they'd tell you every error object returns four fields: code, message, param, and doc_url. The doc_url is the move most people skip — it turns a cryptic error into a solvable problem in one click. The pattern: errors are documentation. If a developer hits an error and can't fix it in two minutes, the error message failed, not the developer."

Deep Mode (on request or open-ended questions)

For when the user doesn't know the landscape and needs the full picture. Still not a dissertation — disciplined and structured, but concise within structure.

Deep mode output:

## What the Best in the World Does: [Topic]

### Elite Practitioners
- [Name/Company]: [what makes them credible here — specific signal, not reputation]
- [Name/Company]: ...
- [Name/Company]: ...

### What They Actually Do
[For each practitioner: 2–3 concrete practices. Specific and observable. Note confidence: confirmed / inferred / attributed.]

### The Pattern
[2–3 cross-cutting behaviors that appear across the best. Name each. One sentence on the mechanism.]

### What Mediocre Looks Like
[The common approach most people take, and why it fails — include the failure mechanism, not just the label.]

### Starting Point
[Minimum viable world-class for this problem. What you can do this week. The single thing that separates good from elite.]

Target length for deep mode: 400–600 words. If it's longer, cut.

Quality Bar (both modes)

  • Never say "top companies" or "industry leaders" — name them specifically.
  • Distinguish what practitioners do from what they say. Published principles often lag private practice.
  • Concrete = "Netflix uses chaos engineering tools that randomly kill production services during business hours." Not concrete = "Netflix prioritizes resilience."
  • Anti-patterns require the failure mechanism — why the bad approach still gets chosen, not just that it's bad.
  • Flag inferences. Don't present second-hand attribution as confirmed practice.
  • No padding. If you don't know specific practitioners for a niche domain, say so and give the best inference you have with a confidence note.

Frequently asked questions

What does the Best In World Research AI skill do?

World-class practice research. This skill should be used when the user asks what the best in the world does about a specific problem, technique, or situation — covering product, engineering, design, marketing, compliance, operations, org design, and any other domain. Use when the goal is to understand elite-tier practice, not to make a strategic decision. Distinct from best-in-world-strategy, which is for choosing between options.

Why use Best In World Research on TypingMind?

Because you install it once and use it with any model. Best In World Research 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 Best In World Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/stevembarclay/pencilplaybook/tree/main/.claude/skills/best-in-world-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Best In World Research?

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 Best In World Research?

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

Is the Best In World Research AI skill free?

Yes. It is published on GitHub by stevembarclay 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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