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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
$ npx -y skills add social-media-skills/skills --skill writing-style-and-tone --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/writing-style-and-toneContext 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
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
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.)
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.
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).
(Depth: `references/the-style-framework.md`.)
abstract; subjectivity as a feature.
voice fingerprints persisting; platform register shifts, identity doesn't (the cover-the-handle test).
one idea per sentence; front-load.
read-aloud test (every stumble is an edit).
test decides, not a detector score; disclose AI use where required.
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`.
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.
requires. **Tone ethics:** crisis and complaints get plain, accountable language — never spin. Claims route through content-research-and-sourcing; metric
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