The interface is localized. Skill descriptions and documents are machine-translated by AI into your language; code, commands, paths and technical terms stay in the original, and the author's document governs.
Explore skills
Productivity · SKILL.md

plain-language

plain-language

Rewrites technical material for a reader who lacks the background — explaining jargon, unpacking dense writing, and making an idea land without dumbing it down. Use this whenever the user asks to simplify, explain in plain English, make something less technical, write for a non-technical audience or executives, or says a draft is too dense or full of jargon…

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: plain-language description: Rewrites technical material for a reader who lacks the background — explaining jargon, unpacking dense writing, and making an idea land without dumbing it down. Use this whenever the user asks to simplify, explain in plain English, make something less technical, write for a non-technical audience or executives, or says a draft is too dense or full of jargon. Also use when explaining an unfamiliar concept the user is trying to understand themselves. license: MIT

Plain language

The goal is not simpler words. It is a reader who ends up genuinely understanding, including understanding the limits of what they now know.

Two opposite failures. Untranslated: jargon left intact, so the reader nods along and takes away nothing. Hollowed out: every precise term replaced with a vague one, leaving prose that is easy to read and impossible to act on, and worse, a reader confident about something they have misunderstood.

Simplify the language and the path, never the truth.

1. Find out what the reader already has

The single biggest determinant of a good explanation is the starting point. An executive, a junior engineer, and a customer need three different explanations of the same system, and the difference is not vocabulary — it is which questions they are asking.

Establish:

  • What do they know that is adjacent? The best explanations build from something they already have.
  • What will they do with this? Deciding, using, approving, or just following along? An explanation for a decision must include trade-offs; one for use must include steps.
  • How deep do they need to go? "Enough to approve the budget" and "enough to debug it" are different documents.

Done when: you can name the reader's starting knowledge and their purpose.

2. Find the load-bearing idea

Most technical explanations fail because they explain everything at equal depth. Find the one idea that, once understood, makes the rest follow, and spend your budget there.

For a caching layer it is we keep a copy of the answer so we do not redo the work. Everything else — eviction, TTL, invalidation — is a consequence a reader can then absorb quickly.

Done when: you can state the core idea in one sentence with no jargon.

3. Handle each piece of jargon deliberately

Three options, chosen per term — do not apply one policy to all:

  • Replace when a plain phrase is genuinely equivalent. "Runs at the same time" for "concurrent". No loss, so no reason to keep the term.
  • Teach when the term is load-bearing and the reader will meet it again. Define it once, in context, then use it. Withholding a term the reader needs is a disservice — they cannot search for a concept you refused to name.
  • Cut when it does not serve this reader at all. Most jargon in most drafts is in this category, present because the writer knew it rather than because the reader needs it.

Never leave a term undefined on the assumption it is obvious. The curse of knowledge makes this invisible from the inside — if you learned it more than a year ago, you cannot feel its difficulty any more.

Done when: every remaining technical term is either defined or genuinely common.

4. Use analogies, and then close them

A good analogy transfers structure from something familiar. A bad one transfers the wrong structure and creates a misconception that is harder to remove than the original ignorance.

  • Map it to something the reader actually knows, not to another technical domain
  • Match the relationships, not the surface
  • Say where it breaks. Every analogy fails somewhere, and naming the failure point is what makes it safe. "Like a filing cabinet — except many people read and write at once, which is where the complications start."

One well-closed analogy beats three loose ones.

Done when: each analogy has its limit stated.

5. Rebuild the sentences

Dense technical writing has recognisable, fixable habits:

  • Nominalisation: "perform an evaluation of" → "evaluate". Verbs buried as nouns are the single largest source of density.
  • Passive voice hiding the actor: "the request is validated" → "the gateway validates the request". The reader needs to know who does what.
  • Stacked modifiers: "distributed real-time event stream processing pipeline". Unstack it into a sentence.
  • Long chains of clauses: one idea per sentence. Length is a symptom; the disease is multiple ideas competing.
  • Abstraction with no example: follow every abstract claim with one concrete instance. This is the highest-yield fix available.

Done when: you can read it aloud without backtracking.

6. Keep the precision that matters

Simplifying must not delete:

  • Numbers and conditions: "faster" is not a simpler version of "about 3x faster on reads"
  • Uncertainty: "we think" must not become "it is". Overstated confidence is the most damaging thing a simplification can introduce
  • Caveats that change decisions: if a caveat would alter what the reader does, it stays, in plain words
  • The distinction between "cannot" and "does not yet"

When something genuinely cannot be simplified without breaking it, say so: "the short version is X; the accurate version needs Y, which takes a paragraph." Offering the reader that choice respects them more than a comfortable falsehood.

Checking it worked

Read it as the reader. Where would they stop and ask a question? That is where to add a sentence.

Then check the reverse failure: is there anything here that would let a reader confidently do the wrong thing? A simplification that reads beautifully and misleads is worse than the dense original, because the dense one at least signalled that it needed care.

Saved skills