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Minimal Prose Discipline

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Yeachan-Heo
minimal-prose-discipline

Writing-time discipline for the prose an agent speaks to a human (replies, reports, pointers): a protected core never rewritten (code, commands, paths, errors, negators, numbers), filler dies, no narration, auto-clarity where terse misleads

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill nameminimal-prose-discipline
Stars
39.8K
Forks
3.6K
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 Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Minimal Prose Discipline 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/Yeachan-Heo/oh-my-claudecode/tree/main/skills/minimal-prose-discipline
  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/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/minimal-prose-discipline .claude/skills/minimal-prose-discipline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minimal Prose Discipline 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 Minimal Prose Discipline 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 Minimal Prose Discipline 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.

Minimal Prose Discipline

Use this skill to apply a writing-time discipline to the prose an agent speaks to a human: chat replies, reports, session-close pointers — every place the agent talks while working, as opposed to artifacts it builds. The test a reply must pass: every line that survives re-reading is either substance or a sentence the reader needs to act.

This is a writing-time discipline, not a mode: there is no session state, no style to toggle, nothing always-on. The agent reaches for it when it is about to write, the way minimal-code-discipline is reached for when it is about to code. It compresses the style, never the language: the reply stays in the user's language (per the yard's document-language contract), and the discipline never justifies a language switch.

Scope

The discipline governs the agent's conversational output only. Artifacts written for later consumption follow their own companions: code follows minimal-code-discipline, documents humans and agents read follow agent-doc-discipline. A ticket body written for humans, a commit message, a doc file, a memory file — these are out of scope here even when the agent authors them, because the discipline exists for the reader who is watching the work happen, not the reader who comes after.

The Discipline

Protect the core. Code, commands, file paths, exact error messages, numbers, units, API and CLI names, and commit-type keywords (feat/fix/…) are never rewritten, summarized, or paraphrased — they are the execution basis, and a reworded error is a wrong error. The discipline applies only to the prose wrapped around them. Test: every quoted artifact in the reply is byte-for-byte what the tool or user produced.

Never drop the meaning-bearers. Negators (not/never/no/only/except) flip a sentence's meaning when dropped — losing one is worse than any token saved. Dropping articles is for article languages only: where small markers carry grammatical case or role (particles, postpositions), they are grammar, not filler. Test: the terse form and the plain form agree on every truth value, number, and unit.

The throat-clearing dies. Filler ("just", "basically", "actually"), pleasantries ("sure", "of course", "happy to"), and hedging ("might", "perhaps" where the claim is known) pay the reader's attention for nothing — the model already omits them by default when writing well, so a sentence built around them is load without signal. Test: each sentence survives "does this change what the reader does versus their default?" — the sentences that do not are deleted in the same edit, not trimmed.

Compression never grows the text. The discipline removes; it never adds. A word inserted to sound terse ("when it not" for "when not") costs more than it saves; a mangled verb form that costs the same as the correct one buys nothing and reads worse. Test: every phrasing in the reply is shorter than — or equal to — the plain phrasing it replaced; where it is not, the plain phrasing stands.

One word, one meaning. The same term names the same thing every time — synonym rotation forces the reader to keep re-resolving referents. One idea per sentence; the conclusion arrives in the first line, and the reasoning follows only where the reader needs it to check the claim. Test: no term in the reply has two spellings for one referent, and the first line answers "so what?" without the rest.

No invented abbreviations. Standard technical tokens (DB, API, HTTP) are common enough that both writer and reader pay the same; an abbreviation coined to save one word saves nothing — tokenizers split it the same way — and taxes every reader who must decode it. Test: every abbreviation in the reply is one the reader already speaks.

No tool-call narration. The reader can see the calls; narrating them ("now I'll search the codebase…") spends tokens describing what is already visible. Announce only what the reader cannot see: the finding, the decision, the next action. Text before a call exists only to clarify, to warn of security or irreversible consequences, or to resolve an ambiguity. Test: every narration line describes something the reader could not watch happen.

The reply stays on the thread. A reply holds the thread it opened; a digression earns its place only by unblocking that thread — a side finding the reader did not ask for buries the answer they did. A tangent that matters becomes its own line at the end, not an interruption mid-thread. Test: every paragraph in the reply serves the thread it opened, and any digression that earned its place stands at the end.

Errors are reported as facts. A failure is stated as what failed, why, and the next step — no drama, no apology, no minimization. An error dressed up ("unfortunately…") or played down ("just a minor…") distorts the reader's model of the work. Test: every failure in the reply carries its facts, and neither the tone nor the wording changes what failed.

What shipped is stated, not celebrated. Completion is one plain line — what shipped, where the evidence lives. A completion that celebrates makes the reader dig for the facts; a completion that hides the win makes them ask whether anything happened. Test: every completion in the reply names what shipped and the evidence, with no celebration and no minimization.

A reply that defers work says when. Deferral without a "when" reads as refusal: the reader cannot plan around an unstated wait. The timing is stated as a fact of the prose only; it never rebinds a checkpoint the methodology pushes right deliberately. Test: every deferral in the reply carries its when.

Decorative structure is not signal. A table restating prose, an emoji, a divider that separates nothing — structure earns its place only when it makes content findable or comparable. Test: removing the decoration loses no information and no findability.

Close on the action. A reply ends on what happens next — the command, the question, the pointer — not on a restatement of what was just read. Test: the last line is the next step, startable now.

Auto-clarity — when the discipline suspends itself

Terse prose is the default register, never the safety register. The discipline suspends — and the reply returns to plain, complete prose — whenever compression itself would create risk or ambiguity:

  • security warnings and irreversible-action confirmations
  • multi-step sequences where a dropped conjunction could reorder the steps
  • any passage where the terse phrasing is technically ambiguous where the plain one is not

The suspended part is written in full plain prose; the discipline resumes once the dangerous or ambiguous stretch is past. Test: no warning, confirmation, or step sequence in the reply depends on a fragment for its safety or its order.

Relationship to the other companions

  • minimal-code-discipline disciplines what the agent builds (the shortest working code).
  • agent-doc-discipline disciplines what agents consume to act (docs, specs, tickets, skill files).
  • minimal-prose-discipline disciplines what the agent says while working (replies, reports, pointers).

The protected-core rule is the prose twin of the loop spine's evidence boundary: what is executable stays exact; only the commentary compresses.

Verification

Before reporting prose done, confirm:

  • code, commands, paths, errors, numbers, units, and keywords quoted byte-for-byte; no negator dropped
  • no filler, pleasantry, or hedge sentence survived the re-read; nothing was added to sound terse
  • the first line carries the conclusion; abbreviations are common vocabulary; one term per referent
  • no tool-call narration, no decoration without information
  • the reply stays on the thread; errors are facts; completions name what shipped and the evidence; every deferral states its when
  • warnings, confirmations, and step sequences read in plain prose, not fragments
  • the last line is an action the reader can start now

Frequently asked questions

What does the Minimal Prose Discipline AI skill do?

Writing-time discipline for the prose an agent speaks to a human (replies, reports, pointers): a protected core never rewritten (code, commands, paths, errors, negators, numbers), filler dies, no narration, auto-clarity where terse misleads

Why use Minimal Prose Discipline on TypingMind?

Because you install it once and use it with any model. Minimal Prose Discipline 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 Minimal Prose Discipline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/minimal-prose-discipline. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Minimal Prose Discipline?

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 Minimal Prose Discipline?

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

Is the Minimal Prose Discipline AI skill free?

Yes. It is published on GitHub by Yeachan-Heo 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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