longyunfeigu/paoding-skill

You have collected 100 skills, but you can’t say why any of them are so useful.
Skill has no readable source code—its logic lies in ‘how to change the model’s default behavior.’
Previously, I drilled into source code to learn design patterns; now it’s time to break down skills to learn skill design patterns.

**Butcher Ding breaks down a skill and produces a manual that clearly explains three things: what works well, how it works, and which tricks you can use directly. **

What does the manual look like? · Sample · How to disassemble · Installation

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What does a manual look like?

A manual you can flip through in your browser. Below is a real screenshot (examples/huashu-nuwa/, you can read it by launching a local service):

The manual opens not with a list of functions, but as a preview card for difficult points—first, show you how the model can fail without this skill:

Let’s look at a difficult file card—symptoms must be scenarios that can be played, mechanisms must be posted in original text, and evidence must be graded:

The main feature of the manual is ‘Practical Walkthrough’: using AI first-person perspective, it guides you through the skill from scratch at each station. At each stop, you first see what you get, how the default will break, and guess how to defend against it, then you post the original skill text. When you encounter a common move, mark it with a ‘📌 can take away’ card on the spot:

The take-away labels in the book are automatically aggregated into the ‘Take-Home Toolbox’ appendix:

Each assertion is marked with a level of evidence (measured / author’s testimony / structural inference / hypothesis)—it is a mark of inference, a mark of speculation.

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Example: Nuwa.skill

Nuwa.skill can turn a person’s name into a realistic character. But why is it so useful?

Butcher Ding broke it down and produced a complete manual of six chapters + three appendices (examples/huashu-nuwa/):

A few findings emerged: Nuwa’s most valuable design isn’t the process, but the choice of intermediate products—storing a ‘thinking model’ instead of a ‘golden quote,’ because the character design created by the golden quote collapses when faced with new problems. Two checkpoints are stuck at the seam: ‘subjective judgment is the heaviest, rework is the most expensive.’ The response workflow for the finished product (first decide whether facts should be checked, and if you must, search before speaking) is a trick any agent who fears the model making things up can copy directly.

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How to decode a skill

Butcher Ding doesn’t read the function list, but reads counterfacts.