Agent skill

Voice Builder

by social-media-skills in social-media-skills/skills

A skill your agent uses to build a reusable voice guide (voice.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of…

MITAuto-check passedWriting & Content

Install Voice Builder

skills CLI
$ npx skills add social-media-skills/skills --skill voice-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install social-media-skills/skills voice-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/voice-builder .claude/skills/voice-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
voice-builder
GitHub stars
134
Token cost
~1.9k tokens
SKILL.md length
936 words
Files
7 (incl. references)
Skills in repo
106
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses to build a reusable voice guide (voice.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of…

  • Works in 6 steps: Read brand-profile first → Gather the right samples → Analyze across the six layers (with… → …
  • Build a reusable voice guide (voice.md) by analyzing a persons
  • SKILL.md covers When to use this, Step 0 — Read brand-profile…, Step 1 — Gather the right… and Step 2 — Analyze across the…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Voice Builder is an agent skill from social-media-skills/skills. Use to build a reusable voice guide (voice.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of generic AI prose. Run this when the user says "build my voice," "sound like me," "capture my tone," "analyze my writing," "train on my posts," "ghostwrite in my voice," or when content keeps coming out off-voice or generic. Requires real writing samples; if there are none, use brand-profile's voice interview instead. Works for anyone…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `evals/evals.json`, `references/analysis-framework.md` and `references/examples.md`).

It sits in Writing & Content, covering Brand voice and tone. The repository describes itself as: 106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents. The licence is MIT.

When your agent uses it

  • Build a reusable voice guide (voice.md) by analyzing a persons
  • Brands ACTUAL writing samples — so every other social skill can write in their exact voice instead of generic AI prose
  • Says build my voice
  • Capture my tone

Example prompts

  • “s or brand”
  • “build my voice,”
  • “sound like me,”
  • “/voice-builder”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Read brand-profile first
  2. Gather the right samples
  3. Analyze across the six layers (with evidence)
  4. Distill the voice fingerprint
  5. Write voice.md
  6. Validate with the voice test (do not skip)

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30eeb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Voice Builder loads about 1.9k tokens when it runs, and up to ~7.7k if it reads all its reference files. Until then it costs about 202 tokens; SKILL.md has 936 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~202
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from social-media-skills/skills at commit 6e30eeb, republished under its MIT licence (© social-media-skills). 936 words, ~1,906 tokens.

Download SKILL.mdSave it as .claude/skills/voice-builder/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
voice-builder
description
Use to build a reusable voice guide (voice.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of generic AI prose. Run this when the user says "build my voice," "sound like me," "capture my tone," "analyze my writing," "train on my posts," "ghostwrite in my voice," or when content keeps coming out off-voice or generic. Requires real writing samples; if there are none, use brand-profile's voice interview instead. Works for anyone: founders, creators, executives who are ghostwritten, and brands. Read brand-profile first; this skill produces the deeper voice.md that complements it. This skill DEFINES the voice; to apply it per piece — tone shifts, style edits, de-AI-ing a draft — use writing-style-and-tone.
metadata.version
1.0.0
license
MIT

Voice Builder

This skill turns real writing into a reproducible voice — a voice.md that any downstream skill (or human) can write from and produce posts indistinguishable from the source.

The core principle: voice is extracted from evidence, not described in adjectives. "Punchy and authentic" is unwritable — it tells a writer nothing. "Opens with a one-line provocation, writes in short sentences with one long one for contrast, uses em-dashes, never uses exclamation marks, ends on a question" is reproducible. Your job is to convert someone's writing into rules that specific.

When to use this

  • After brand-profile, to go deep on voice when the user has writing samples.
  • When content keeps coming out generic, stiff, or "not me."
  • For ghostwriting at scale — capture the voice once, write in it forever.

When NOT to use this: if there are no usable samples, don't invent a voice. Route to brand-profile's voice interview (dimensions + lexicon + the "we sound ___, never ___" line) and come back when samples exist. A fabricated voice is worse than an honest interview.

Step 0 — Read brand-profile first

Load brand-profile.md for identity, audience, and guardrails. voice-builder produces the voice.md that sits alongside it. If a voice.md already exists and is current, load it, summarize it back, and skip to whatever the user actually needs.

Step 1 — Gather the right samples

Quality beats quantity. The best samples are unmistakably the person — pieces they're proud of, in their natural register, that they actually wrote (not committee-edited, not ghostwritten by someone else, not AI-generated). Aim for 5–10 substantial samples; 3 is the floor. Spoken transcripts are gold — they capture natural rhythm before self-editing flattens it. See references/samples-guide.md for what to collect and what to exclude.

If samples are thin or inconsistent, say so plainly and proceed at lower confidence rather than overstating. Honesty about confidence is part of the deliverable.

Step 2 — Analyze across the six layers (with evidence)

Do not free-associate about "tone." Work the framework in references/analysis-framework.md, layer by layer:

  1. Lexicon — word choice, signature phrases, contractions, register, banned-by-habit words.
  2. Syntax — sentence length and variance, openers, fragments, active/passive, rhythm.
  3. Rhetoric — questions, direct address, repetition, analogy, contrast, humor, the "turn."
  4. Structure — how they open, build, and close; paragraphing; formatting.
  5. Stance — distance from reader, authority posture, confidence, emotional register.
  6. Negative space — what they conspicuously never do. Often the most defining layer.

For every pattern you name, cite the evidence — quote the sample. A voice guide built on assertions drifts; one built on quotes holds.

Step 3 — Distill the voice fingerprint

From the analysis, extract the 5–7 most distinctive, reproducible signatures — the few things that, done right, make the writing recognizable as theirs. This is the heart of voice.md. Pair it with the negative space (the hard "never"s). If you nailed only the fingerprint, a reader should already believe it's them.

Step 4 — Write voice.md

Use references/voice-template.md. Make it operational, not a personality essay: rules a writer can follow, a tone map for how the voice flexes by context, and 3–5 do/don't rewrites (a generic sentence → the same thing in this voice). Keep real sample snippets in as calibration anchors.

Show full SKILL.md (418 more words)Show less

Step 5 — Validate with the voice test (do not skip)

A voice.md that hasn't been tested is a hypothesis. Run the loop in references/validation.md:

  1. Generate a fresh post on a new topic using only voice.md.
  2. Place it beside a real sample. Could the user tell which is which?
  3. Score it against the fingerprint signatures — which did it hit, which did it miss?
  4. Fix the misses, refine voice.md, and repeat once or twice.

Show the user the test post and the result. The voice isn't done until it passes.

What "great" looks like (self-check before finishing)

  • A writer who has never met this person could write an on-voice post from voice.md alone.
  • Every claim cites a sample — no unsupported adjectives.
  • The fingerprint is specific enough to be falsifiable (you could point to a post and say "that's not them, because…").
  • Negative space is captured, not just positive traits.
  • It passed the voice test, and you showed the proof.

If any of these is missing, you're not done.

Edge cases — handle explicitly

  • Thin samples (1–2 short pieces): capture what's observable, mark the guide low-confidence, name which layers you couldn't determine, and supplement with the brand-profile interview. Don't bluff certainty.
  • Inconsistent samples (voice drift): don't average them into mush. Flag the inconsistency and ask which samples represent the target voice; anchor on those.
  • Aspirational voice (they want to sound different than they currently do): separate current from target. Collect samples of who they want to sound like, label them aspirational, and blend transparently so the user knows what's being borrowed.
  • Multiple voices (company vs founder; several creators): one voice.md per voice, named. Never blend voices — it produces a person who exists nowhere.
  • Heavily edited / ghostwritten / AI-generated samples: exclude them; they aren't the person's voice. Say why.
  • Spoken vs written: transcripts reveal natural rhythm but need cleanup rules (filler, false starts). Capture the rhythm, note the cleanup.
  • Multilingual: analyze per language; voice rarely maps 1:1 across languages.
  • brand-profile — read first; provides identity, audience, guardrails.
  • writing-style-and-tone — applies the voice.md per piece and per moment (tone map, edit passes, AI-tell sweep). This skill writes the constitution; that one governs by it.
  • Every content skill (caption-writer, reels-script, thread-writer, linkedin-post-writer, …) reads the resulting voice.md.
  • audience-research, content-pillars — complementary foundation skills.

References

  • references/samples-guide.md — how to source and vet the right writing samples.
  • references/analysis-framework.md — the six-layer framework for deconstructing voice.
  • references/voice-template.md — the exact voice.md structure to produce.
  • references/validation.md — the voice test: generate, compare, score, refine.
  • references/examples.md — two contrasting worked examples, end to end.

© social-media-skills, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/voice-builder of social-media-skills/skills.

  • SKILL.md
  • evals/evals.json
  • references/analysis-framework.md
  • references/examples.md
  • references/samples-guide.md
  • references/validation.md
  • references/voice-template.md

Open the folder on GitHubat commit 6e30eeb

Compare with similar skills

Voice Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Voice Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Voice Builder this skillsocial-media-skills/skills134—~1.9kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
BrandOhh-889/skyroc79513 repos~733Automated safety check: PassMIT
Khazix WeChat Article WriterKKKKhazix/khazix-skills21k1 repos~2.9kAutomated safety check: PassMIT
Writing Guidelinesvercel-labs/agent-skills32k7 repos~309Automated safety check: PassNone
Unslop AI Writing Cleanuptheclaymethod/unslop518—~1.7kAutomated safety check: PassMIT

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Questions about Voice Builder

What does Voice Builder do?

A skill your agent uses to build a reusable voice guide (voice.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of…. Voice Builder is an agent skill from social-media-skills/skills.md) by analyzing a person's or brand's ACTUAL writing samples — so every other social skill can write in their exact voice instead of generic AI prose.

When should I use Voice Builder?

Voice Builder fits situations like: build a reusable voice guide (voice.md) by analyzing a persons; brands ACTUAL writing samples — so every other social skill can write in their exact voice instead of generic AI prose; says build my voice; capture my tone.

How do I install Voice Builder in Claude Code?

Run `npx skills add social-media-skills/skills --skill voice-builder -a claude-code`. Or copy the skill folder (skills/voice-builder in social-media-skills/skills) into .claude/skills/voice-builder in your project. Claude Code loads it when a task matches its description.

How do I install Voice Builder in Codex?

Run `npx skills add social-media-skills/skills --skill voice-builder -a codex`. Or copy the skill folder (skills/voice-builder in social-media-skills/skills) into .agents/skills/voice-builder in your project. Codex loads it when a task matches its description.

Can I use Voice Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add social-media-skills/skills --skill voice-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-builder, .gemini/skills/voice-builder, .github/skills/voice-builder and .opencode/skills/voice-builder in your project.

What does Voice Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Voice Builder is instructions for the agent only.

Does Voice Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Voice Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Voice Builder use?

Voice Builder is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Voice Builder use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.8k tokens, read only when the agent opens those files.

What are the alternatives to Voice Builder?

Skills that share tags, products or a category with Voice Builder: Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), Brand (Ohh-889/skyroc, 795 stars), Khazix WeChat Article Writer (KKKKhazix/khazix-skills, 21k stars) and Writing Guidelines (vercel-labs/agent-skills, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Builder?

social-media-skills (a GitHub organization) maintains it in social-media-skills/skills, which has 134 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 1, 2026.

Source: social-media-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.