agentleFS
tsukumogamitsukumogami/shirabe/skills/writing-style/SKILL.md

writing-style

Skill0 starsChanged 30 days agoApache-2.0View on GitHub

Revise prose so it reads as though a person wrote it, without the tells that give an AI draft away. Use it whenever prose is about to leave your hands, not only when someone asks for it: PR descriptions and PR review comments, issue bodies, commit message bodies, README and documentation sections, design-doc prose, and the summary or explanation you are about to write back to the user. Also use it when someone asks to improve, humanize, clean up, tighten, or revise a draft, or says something sounds robotic or AI-written. Apply it proactively — the drafts that need it most are the ones nobody thought to ask about, and a repo can declare its own terms of art that generic advice would strip out. It is about how the prose reads, not what it says: it does not decide a document's content or supply what the document is missing.

29 other projects use a version of this.

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Used with

Projects with it also use changeset-scope, skill-prefixes and 4 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • timmo001Skill

    changeset-scope

    Keep all scoped code work contained to the user-defined changeset. Use for implementation, fixes, diagnosis, refactoring, cleanup, and review when explicit instructions, named files, diffs, branches, pull requests, or injected work scopes define the boundary.

    Also in 3 projects that use this

  • timmo001Skill

    skill-prefixes

    Name skills with an owner prefix so they do not collide with shared, imported or other repositories' skills. Use when creating, renaming, importing or reviewing a skill name, especially for repository-local or tool-owned skills.

    Also in 3 projects that use this

  • NVIDIASkill

    testing

    Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.

    Also in 3 projects that use this

  • GoogleSkill

    code-review

    Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.

    Also in 4 projects that use this

  • +2 more from timmo001

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 28 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When invoked directly with a draft: identify patterns below, revise, return the revised text.

    line 21
  2. Distinctive:

    Forced rule of three: Use the actual count.

    line 47

“Common” is measured: kept by at least 6 in 10 of the 28 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

!${CLAUDE_PLUGIN_ROOT}/scripts/skill-preflight.sh writing-style 2>&1 || true

When invoked directly with a draft: identify patterns below, revise, return the revised text. When producing prose: apply these patterns from the start rather than producing and then revising.

The rules live in rules.yaml

skills/writing-style/rules.yaml is the single authoritative source. Read it for the banned words, phrases, and frequency thresholds. It carries the terms and the reason for each, grouped by category.

A repository can declare terms of art the rules must not fire on, through a ## Prose Vocabulary: header in its CLAUDE.md. Honor a repository's declaration when you draft in it: shirabe declares tier, journey, and underscore because those are its own vocabulary, not tells.

What no matcher reaches

The judgment_only section of the rule source holds what no matcher decides, and it is where the value is:

  • Low information density. Well-formed sentences that say nothing. A fluent, entirely vacuous document produced ten alerts under three off-the-shelf style packages and not one concerned the vacuity.
  • Empty conclusions. A closing paragraph that adds no content.
  • Demonstratives with no antecedent. "This" and "that" pointing at nothing nameable.
  • Attribution without a citation. "Studies show" with no study.
  • Synonym cycling. Repeat the word instead.
  • Forced rule of three. Use the actual count.
  • from X to Y on no real scale. Measured zero true positives across 46 corpus hits; every one was a genuine state transition.
  • landscape used figuratively. "Competitive landscape" is a term of art; "the landscape of modern tooling" is the tell.

Structural patterns

PatternFix
"serves as", "stands as", "boasts"Use "is/are/has"
"It's not just X, it's Y"Just say Y
Stacked qualifiers ("could potentially possibly")One qualifier
Hollow gerunds: "highlighting/underscoring/emphasizing"Cut or make main clause

Formatting tells

TellFix
Em dash overuseComma, parentheses, or colon. The validator measures the rate per document; a threshold breach means the whole draft, not one sentence.
No contractionsUse "don't", "it's", "we've"
Title Case HeadingsSentence case
Boldface overuseBold genuine emphasis only
Uniform paragraph lengthVary naturally

Over-formality substitutions

AvoidUse
"In order to""To"
"Due to the fact that""Because"
"At this point in time""Now"
"Prior to" / "Subsequent to""Before" / "After"
"With respect to""About" or "For"
"Has the ability to""Can"

What human writing has

  • Burstiness: dramatic variation, a 3-word sentence next to a 25-word sentence is the target, not mild variation
  • "And", "But", "Or" as sentence starters are fine
  • Specifics over abstractions: name the file, cite the number
  • Opinions: take a position; acknowledge complexity or mixed feelings

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