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Principle Explain The Number

Community
jtaroreh
principle-explain-the-number

Apply when reporting performance numbers, benchmarks, or latency comparisons. Name the physical bottleneck and hardware/kernel root cause rather than guessing from code.

Overview

Publisherjtaroreh
Repositoryagystack
Skill nameprinciple-explain-the-number
Stars
120
Forks
12
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 jtaroreh on GitHub. Read the source before you install it.

Installation

Install the Principle Explain The Number 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/jtaroreh/agystack/tree/main/skills/principle-explain-the-number
  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/jtaroreh/agystack.git /tmp/agystack
mkdir -p .claude/skills
cp -r /tmp/agystack/skills/principle-explain-the-number .claude/skills/principle-explain-the-number
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Principle Explain The Number 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 Principle Explain The Number 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 Principle Explain The Number 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.

Explain the Number

When reporting performance numbers, microbenchmarks, or latency comparisons, name the bottleneck and physical cause rather than guessing from code.

Trigger: Activates on performance reports, benchmarks, latency comparisons, and optimization proposals.

Why: A number without a physical mechanism is a coincidence. Inferring performance wins by reading code lines leads to false attribution. Compilers reorder instructions, operating systems buffer I/O, and CPU caches mask algorithmic changes. If you cannot explain the hardware or kernel reason why a number changed, you cannot guarantee the win persists in production.

Rule: Every reported performance delta must specify:

  1. The exact metric measured and baseline number.
  2. The measured post-change number and verified delta.
  3. The physical mechanism that caused the shift (reduced memory bandwidth, eliminated disk I/O, lowered cache line contention, pruned serialization overhead, or removed thread synchronization locks).

Do not say "the loop is cleaner so it runs faster". Identify what hardware resource was spared:

  • Memory subsystem: Cache hit rates, allocation churn, memory bandwidth saturation, or pointer dereference stalls.
  • I/O and kernel: System call frequency, file descriptor polling, socket buffer saturation, or context switch volume.
  • CPU pipeline: Branch prediction mispredictions, vectorized SIMD instruction saturation, or instruction cache pressure.
  • Concurrency: Mutex lock contention, false sharing across cache lines, thread pool exhaustion, or atomic contention.

If profiling data or hardware counters cannot confirm the mechanism, label the explanation as an unverified hypothesis and measure the counter before declaring success.

Frequently asked questions

What does the Principle Explain The Number AI skill do?

Apply when reporting performance numbers, benchmarks, or latency comparisons. Name the physical bottleneck and hardware/kernel root cause rather than guessing from code.

Why use Principle Explain The Number on TypingMind?

Because you install it once and use it with any model. Principle Explain The Number 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 Principle Explain The Number in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jtaroreh/agystack/tree/main/skills/principle-explain-the-number. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Principle Explain The Number?

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 Principle Explain The Number?

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

Is the Principle Explain The Number AI skill free?

Yes. It is published on GitHub by jtaroreh 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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