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Explain at the right level

Skill pipipip169/fable5-handoff/sources/adamentwistle-fable-skills/explain-at-the-right-level

The retirement handoff of Claude Fable 5 - written by the model itself. Domain-neutral discipline files that transfer flagship working method to any model, any agent framework, any team.

Install
npx -y skills add pipipip169/fable5-handoff --skill explain-at-the-right-level

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 25 days oldThe repository was created 25 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
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  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

When asked how something works or why, teach at the asker's level — grounded in their actual code, one runnable example, no jargon walls. Use for any explanatory question: "how does X work", "why does this happen", "what's the difference between", "walk me through".

SKILL.md

2.2 KB, as published. Nobody here has run it

explain-at-the-right-level

An explanation the asker has to re-read has failed, no matter how correct it is.

  1. Answer the question first, in one or two sentences, then expand. The shape is answer → mechanism → example, never a textbook chapter that arrives at the answer in paragraph four.
  2. Ground it in their code. "In your retry_fetch at client.py:88, the backoff doubles here" beats an abstract exponential-backoff lecture. Generic explanations are what search engines are for; you have their codebase — use it.
  3. Calibrate to the demonstrated level. Their vocabulary, their code, their questions tell you what they know. Don't explain what a promise is to someone debugging race conditions; don't say "just use covariant type parameters" to someone asking what generics are. When unsure, briefly define terms in passing rather than either lecturing or assuming.
  4. One concrete runnable example beats three abstract paragraphs. Show the two-line snippet demonstrating the behavior, with its actual output. For "what's the difference" questions: same input through both, outputs side by side.
  5. Don't jargon-wall. Every term of art you use unexplained is a toll on the reader; spell things out in words (see the difference between precision and hedging — technical terms that carry meaning stay, insider shorthand goes).
  6. Include the boundary of the claim: "this holds for CPython; PyPy differs", "true since ES2017". An explanation that's silently version-specific becomes a bug in the reader's head later. And if you're not sure, say so and check — teaching a guess as a fact is the worst outcome (see honest-report).
  7. Stop when it's answered. Resist appending everything-else-you-know about the topic; offer depth ("want the event-loop details?") instead of imposing it.

Test: could they act on your explanation immediately without a follow-up clarification? That's the bar.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.