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The writing-craft skill — style and tone as applied technique: rhythm, specificity, tone modulation, and the edit passes that make writing read as human. Use when someone's posts "sound like ChatGPT," a draft needs a style edit, they ask how to write differently per platform or

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social-media-skills
79106 skills
Install
$ npx -y skills add social-media-skills/skills --skill writing-style-and-tone --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/writing-style-and-tone

Context preview

The summary Claude sees to decide when to auto-load this skill.

The writing-craft skill — style and tone as applied technique: rhythm, specificity, tone modulation, and the edit passes that make writing read as human. Use when someone's posts "sound like ChatGPT," a draft needs a style edit, they ask how to write differently per platform or

SKILL.md

writing-style-and-tone.SKILL.md
name: writing-style-and-tone
description: >-
  The writing-craft skill — style and tone as applied technique: rhythm, specificity, tone
  modulation, and the edit passes that make writing read as human. Use when
  someone's posts "sound like ChatGPT," a draft needs a style edit, they ask how to write
  differently per platform or moment without losing the brand voice, writing is grammatically
  perfect but exhausting, a manager wants em dashes banned or detector scores chased, or any
  AI-assisted draft needs its mandatory quality pass. Uses the STYLE framework. Reads
  voice-builder + brand-profile + the format skill first. Tells must be read as a cluster with
  judgment — no single marker proves AI, and detectors misflag real writers; the winning move is
  substance so owned the question never arises. Voice is identity; tone is register. The agent
  drafts; the HUMAN supplies lived specifics and final say; never invents anecdotes or staged
  typos. Distinct from voice-builder, hook-writer, the format skills, and
  content-research-and-sourcing.
version: 1.0.0

writing-style-and-tone

The **writing craft** — sound like someone, tune tone to the moment, yank the dead weight, let the rhythm breathe, and edit against the tells intelligently. The agent drafts and edits in the voice; the **human supplies the lived specifics and the final call**; **WoopSocial publishes**. (Craft skill — no tool file.)

The POV: the tells are symptoms — the disease is saying what anyone could say

2026 quantified the stakes: **52% of consumers say they disengage the moment they suspect copy is AI**, only 13% say they completely trust AI, experienced AI users now detect machine text at near-perfect rates, and discovery systems treat predictable-pattern content as noise. So the tell taxonomy matters — the delve-class vocabulary (44% of PubMed's *all-time* "delve" appearances landed in 2023–24), "It's not X, it's Y," the forced rule-of-three, the rigid intro-point-point-conclusion shape, fluff sentences, relentless positivity — but the top-1% position holds two truths at once. **First: apply the tells as a cluster, with judgment** — no single marker proves AI, the em-dash panic is folk detection, and detector-chasing punishes real writers (the Stanford study: detectors misflagged non-native-English essays at a 61.3% average false-positive rate). **Second: the cure is substance, not deletion** — *make the writing so obviously human that the question never comes up*: a real number, a named moment, a stated opinion, productive digression, varied rhythm. Say what only you could say. And the discipline that governs every moment: **voice is identity (constant); tone is register (flexes)** — the playful brand goes plain on its hardest day without becoming a different company. One absolute: authenticity cannot be counterfeited — no invented anecdotes, no manufactured vulnerability, no staged typos.

Read these first

1. **voice-builder** — the voice this craft inhabits (the constitution; this skill governs by it). 2. **brand-profile** + the piece's **format skill** (conventions the craft applies inside).

The framework: STYLE

(Depth: `references/the-style-framework.md`.)

  • **S — Sound like someone:** one only-you element per piece (number, moment, opinion); concrete over

abstract; subjectivity as a feature.

  • **T — Tune tone to the moment:** the tone map (celebration / education / sales / complaint / crisis) with

voice fingerprints persisting; platform register shifts, identity doesn't (the cover-the-handle test).

  • **Y — Yank the dead weight:** fluff sentences deleted whole; throat-clearing cut; verbs over adjectives;

one idea per sentence; front-load.

  • **L — Let the rhythm breathe:** burstiness — long-build then short landing; punctuation as pacing; the

read-aloud test (every stumble is an edit).

  • **E — Edit against the tells, intelligently:** the cluster sweep with judgment, never bans; the substance

test decides, not a detector score; disclose AI use where required.

The reality (verify-quarterly)

The stakes: Bynder's 52% disengagement figure; Klaviyo's 13% complete-trust figure; near-perfect detection by experienced AI users (Russell et al.); information-gain systems penalizing sameness. The taxonomy (converging 2026 sources): hallmark vocabulary (the measured delve surge; delve+underscore co-occurring in 98.8% of joint 2023–24 papers), structural tells (repetitive shapes, furthermore/moreover, forced threes, negative parallels, forced lists), substance tells (fluff sentences), texture tells (relentless neutrality/positivity; typographic perfection vs human "--" and straight quotes). The counter-nuance: no single marker proves AI (the "ChatGPT hyphen" discourse; Stanford's 61.3% average false-flag rate on non-native writers); write for readers, never against detectors — with the tactical footnote that a writer may spare a marker for a suspicious audience. The human profile to honestly reach: subjective, colloquial, emotion-rich, divergent, rhythm-varied. **Attribute all; verify-quarterly.** Full detail: `references/writing-style-2026-reality.md`; the four-pass edit, tone map, before/after, read-aloud protocol, and worked examples: `references/edit-passes-and-templates.md`.

Honest scope (never violate)

  • **The agent** drafts in the voice, runs the four passes, renders tone per the map, and flags where a real

specific is needed — placeholders stay visibly unfilled until the **human** supplies lived material and signs off. **The authenticity absolute:** never invent the human's experiences, failures, credentials, or feelings; never manufacture vulnerability; never stage typos — real substance, not counterfeit texture.

  • **Detector honesty:** no score theater; the reader is the judge; **AI-disclosure** where platform/policy

requires. **Tone ethics:** crisis and complaints get plain, accountable language — never spin. Claims route through content-research-and-sourcing; metric

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