writing-clearly-and-concisely

Overview of writing-clearly-and-concisely skill

The writing-clearly-and-concisely skill is a reusable editing guide for prose that humans will actually read. Its job is simple: take rough, wordy, generic, or overly "AI-sounding" text and rewrite it into plain, direct, stronger English. It is best for documentation, README files, commit messages, PR descriptions, error messages, help text, comments, reports, and explanations.

What this skill is for

Use writing-clearly-and-concisely when the main problem is not missing facts, but weak expression. The repository combines two useful lenses:

• classic plain-English rules from The Elements of Style
• a practical warning list for common AI writing patterns and puffed-up phrasing

That combination matters because many generic prompts can shorten text, but still leave it vague, promotional, repetitive, or obviously machine-written.

Best-fit users and tasks

This skill fits:

• developers drafting docs or READMEs
• agents rewriting commit messages and PR text
• teams polishing user-facing copy
• anyone editing an existing draft for clarity and force

It is especially useful when you already have the content, but need the wording to become cleaner, tighter, and more natural.

What makes it different from a generic rewrite prompt

A normal "make this concise" prompt often trims words without improving structure. The writing-clearly-and-concisely skill gives the model a sharper standard:

• cut needless words
• prefer direct statements
• avoid empty intensifiers and filler
• use active, concrete language where possible
• watch for recognizable AI habits

That makes it more dependable for revision work than an unspecific style request.

How to Use writing-clearly-and-concisely skill

Install context for writing-clearly-and-concisely

The repository provides the skill content, not a dedicated installer script. In practice, writing-clearly-and-concisely install depends on the skill system you use. If your runner supports GitHub-hosted skills, add the skill from softaworks/agent-toolkit and then invoke writing-clearly-and-concisely during drafting or editing.

If your environment does not support direct skill installation, you can still use it by reading the source files and pasting the relevant guidance into your system prompt or editing workflow.

Read these files first

For a fast adoption path, start here:

1. skills/writing-clearly-and-concisely/SKILL.md
2. skills/writing-clearly-and-concisely/README.md
3. skills/writing-clearly-and-concisely/signs-of-ai-writing.md

Then go deeper only if needed:

• elements-of-style/03-elementary-principles-of-composition.md for structure and emphasis
• elements-of-style/02-elementary-rules-of-usage.md for punctuation and grammar cleanup
• elements-of-style/05-words-and-expressions-commonly-misused.md for line-editing decisions

This reading order matches how most users adopt the skill: first the use case, then the rewrite standard, then specific rules.

What input the skill needs

The writing-clearly-and-concisely usage pattern works best when you provide:

• the original draft
• the audience
• the document type
• the desired length
• any terms that must stay unchanged
• whether you want light edit or heavy rewrite

Good input:

• "Rewrite this error message for end users. Keep the HTTP status code. Max 2 sentences."
• "Edit this README section for experienced developers. Keep all commands and filenames exactly as written."
• "Tighten this PR description without changing the technical meaning."

Weak input:

• "Make this better."
• "Rewrite this nicely."

The stronger prompt reduces guesswork and prevents over-editing.

Turn a vague goal into a strong prompt

A practical writing-clearly-and-concisely guide prompt has four parts:

1. Task: rewrite, edit, shorten, or review
2. Audience: beginner users, maintainers, end users, reviewers
3. Constraints: tone, length, preserve facts, preserve code
4. Output shape: revised text only, or revised text plus change notes

Example:

• "Use the writing-clearly-and-concisely skill to rewrite this onboarding section for engineers new to the project. Keep all commands, file paths, and version numbers. Remove filler, reduce repetition, and prefer direct language. Return the revised section first, then 3 brief notes on major edits."

That is much more effective than asking for "concise writing" in the abstract.

Best workflow for editing with this skill

A good working sequence is:

1. draft normally
2. run writing-clearly-and-concisely on the draft
3. compare the revision against the original for lost meaning
4. restore required nuance, domain terms, and edge cases
5. do one final pass for voice and correctness

This skill is strongest as an editor, not as a substitute for subject-matter accuracy.

Use limited context instead of loading everything

The repository explicitly suggests a limited-context strategy. If your context window is tight, do not load every style file. Instead:

• write or collect the draft first
• choose the single most relevant section file
• give the draft plus that file to a subagent or editing step

Examples:

• grammar and punctuation issue: use 02-elementary-rules-of-usage.md
• bloated explanation or weak structure: use 03-elementary-principles-of-composition.md
• awkward stock phrasing: use 05-words-and-expressions-commonly-misused.md
• suspiciously "AI-ish" tone: use signs-of-ai-writing.md

This is the most useful operational advice in the repo because it lowers context cost without losing the standard.

writing-clearly-and-concisely for Rewriting

writing-clearly-and-concisely for Rewriting works best when the source already contains the right ideas but poor phrasing. Typical wins include:

• replacing abstract filler with concrete nouns and verbs
• cutting stacked qualifiers
• splitting overloaded sentences
• removing throat-clearing openings
• converting passive constructions when they weaken the sentence

It is less effective when the draft is factually incomplete. In that case, first fix content gaps, then use the skill to polish.

How to preserve technical accuracy

This skill can over-normalize specialized writing if you do not set boundaries. Tell the model what must not change:

• API names
• commands
• flags
• code snippets
• product terms
• legal or policy wording
• intentionally cautious phrasing

Useful instruction:

• "Improve clarity, but do not change any CLI commands, config keys, or requirements."

That single line prevents many bad rewrites.

writing-clearly-and-concisely skill FAQ

Is this skill good for beginners?

Yes. The writing-clearly-and-concisely skill is beginner-friendly because the core value is easy to understand: say the same thing more clearly and with fewer wasted words. You do not need to memorize every rule in The Elements of Style to benefit from it.

Is it only for documentation?

No. The repo explicitly targets many prose types: docs, commit messages, PR descriptions, error messages, UI copy, comments, reports, and explanations. If a human will read the text, the skill is usually relevant.

When should I not use writing-clearly-and-concisely?

Do not reach for writing-clearly-and-concisely when the main need is:

• generating new facts from missing context
• formal legal review
• deep copywriting or brand voice work
• persuasive marketing language
• heavily creative or literary prose

This skill optimizes for clarity and force, not brand flourish.

How is it different from asking an LLM to "write professionally"?

Generic style prompts often produce polished but bland text. This skill adds specific pressure against puffery and common AI phrasing. That makes the output more useful for technical and operational writing, where credibility depends on precision, not polish alone.

Does it help with AI-sounding text?

Yes. That is one of the strongest reasons to adopt it. The signs-of-ai-writing.md file gives practical pattern awareness, so the model is nudged away from empty transitions, inflated claims, and generic cadence. It is not a ban list; it is a detection aid that improves editing judgment.

How to Improve writing-clearly-and-concisely skill

Give better source material

The biggest quality jump comes from giving the skill a real draft instead of a vague topic. Even a rough draft helps because the model can preserve meaning while improving expression. If you only provide a topic, it will invent structure and emphasis, which is less reliable.

Specify the editing depth

Many disappointing outputs come from unclear scope. Tell the model whether you want:

• light copyedit
• moderate rewrite
• aggressive condensation
• tone cleanup only

Example:

• "Do a light edit for clarity; preserve sentence structure where possible."
• "Do a heavy rewrite for concision; preserve all technical meaning."

That instruction changes the output more than most users expect.

Name the audience and reading situation

Better inputs produce better edits. Include who will read the text and under what conditions:

• "for first-time users scanning quickly"
• "for maintainers reviewing a PR"
• "for end users seeing an error in the UI"
• "for engineers reading inline docs during debugging"

This helps the skill choose the right level of detail and directness.

Watch these common failure modes

The main risks when using writing-clearly-and-concisely are:

• cutting necessary nuance
• flattening domain-specific language
• removing useful examples
• making technical prose sound generic
• shortening a sentence without improving logic

If any of those appear, the fix is usually not "use the skill less." The fix is to tighten your prompt constraints.

Ask for revision notes, not just a rewrite

A strong improvement tactic is to request short change notes after the rewrite:

• what was cut
• what was clarified
• what was preserved intentionally

That makes the skill easier to trust and easier to tune across repeated use.

Iterate with one targeted follow-up

After the first pass, use a narrow second prompt rather than starting over. Good follow-ups include:

• "Keep this version, but restore the caution around data loss."
• "Make it less formal."
• "Shorten by 20% without removing the example."
• "Keep the directness, but make it friendlier for end users."

Small corrective prompts produce better final prose than broad re-prompts.

Use section files selectively for stronger results

If the first output is weak, bring in the most relevant supporting file instead of the whole folder. For example:

• awkward sentences and weak emphasis: 03-elementary-principles-of-composition.md
• wording choices that still feel stock or inflated: 05-words-and-expressions-commonly-misused.md
• output that still sounds machine-generated: signs-of-ai-writing.md

This keeps the workflow efficient and makes the skill easier to operationalize in constrained agent setups.