Voice Card logo

Voice Card

OrganizationPopular
gooseworks-ai
voice-card

Builds or updates a voice card from a company blog ("extract our blog voice") or how an account or person actually writes, measured from about 8 or more of their real posts (length, casing, emoji, openings, pet phrases, opinions with their source). When there are too few posts, it runs a short interview instead. It ends with a test that checks a draft against the card. The brand's rules always beat the card. Use alone when you already have the account's posts or the person on hand; otherwise run the playbook for the job (e.g. run-organic-social, write-outreach, email-lifecycle).

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namevoice-card
Stars
1.3K
Forks
219
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Voice Card AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/voice-card
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/voice-card .claude/skills/voice-card
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Voice Card in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Voice Card on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Voice Card is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

voice-card

The brand voice (kit voice plus the brand's rules: every dont and must in its learnings) says what the brand may say and how it sounds overall. A voice card says how one account or person actually writes: lowercase or not, how long, which emoji, how they open. Adjectives ("warm, playful") don't stop generic copy; a card measured from real posts does.

Choose the source

Used alone: first do the marketing-guide skill (../marketing-guide/SKILL.md) §1–2 (connection, brand and brain rules). Called from a writing job: reuse its setup. A company-blog or long-form voice ask follows references/blog-voice.md and returns; social posts and personal voice follow Build below. A blog guide is usable without releasing the full brand intake playbook.

Where it lives

  • One file per account or person: brand/voices/<handle>.md, brand coworker scope (coworker_agent_id from the gooseworks:brand_read list; no coworker → default workspace, path prefixed brands/<brand-slug>/).
  • Handle: lower-case, hyphens, no @: brand (the brand's own voice across its accounts), ig-<account>, tiktok-<account>, linkedin-<first-last>, founder-<first-last>, blog-<brand-slug> (company long-form writing). One card per account where mechanics differ; accounts that write the same way share brand.
  • Read before you write (gooseworks:file_read; file_write replaces the file). Save with the save-to-brain skill (../save-to-brain/SKILL.md) (versioned: supersede, title Voice card <handle> — <Brand> — <YYYY-MM-DD>, tags [voice-card, voice-<handle>]) so it is findable from any host. The tags name this atom, not the playbook that ran it: for save-to-brain's supersede rule, the creator is the first tag (voice-card), so any writer's newer card supersedes an older one.

Precedence (non-negotiable)

  1. The brand's rules win: every dont and must (never-say, banned words, terminology, not public), the claims contract (the claims-gate skill (../claims-gate/SKILL.md)), and the rules in the confirmed brand voice (what it never does, how it treats customers).
  2. A person's or account's card wins on style: mechanics, openings, lexicon, humour. The brand voice's style gives way to a founder's own card when writing as that founder.
  3. Real posts beat any description of the voice. Example lines in the kit voice are evidence of style only; a claim inside them is not proof.
  4. If the brand marker says voice: provisional, every card built on it is provisional too.

Read

gooseworks:file_read brand/voices/<handle>.md. Missing, or built more than 90 days ago, or older than the account's last 8 posts → build or update. A card marked status: provisional is usable, and drafts from it say so.

Build

  1. Sources, by weight:
    • the account's own real posts: TikTok/Instagram from gooseworks:brand_read sections: ["organic"] (own_posts); other platforms through the proxy (the marketing-data-access skill, ../marketing-data-access/SKILL.md) or, when not reachable, 10–20 posts the human pastes. For a founder, a few of their replies and comments too (the least polished, so the truest voice);
    • the kit voice, tone, and learnings (do / dont / must);
    • the buyers' words (research-audience's voice-of-customer bank, research/audience/voc-bank.md) for hooks only; it is not the brand's voice.
  2. Minimum corpus: about 8 real posts. Below it, run a 5-minute voice interview instead (or take a voice note via gooseworks:media_upload + gooseworks:media_analyze): 3 things you've written that sound like you; 3 words you'd never use; who you write for; a belief about the category others don't share; what makes you cringe in other brands' posts; emoji yes/no and which; lowercase or proper; one story you tell often; off-limits topics; who approves posts in your name. Save the card status: provisional.
  3. Measure, with numbers, not adjectives: words per sentence and per post (median, range); casing; line breaks; rates of em-dash, ellipsis, exclamation and question marks; emoji rate and the exact set; symbols used for words; fragment and typo tolerance; opening moves with 5–10 verbatim first lines; closings; pet phrases and nicknames; jargon and swearing level; how they name customers and rivals; humour; for people who take positions, a stance ledger (each opinion with its source post); never-says (moves absent from the corpus that AI reaches for); top 5 and bottom 5 posts against the account median with the likely why. Leave out captions that come back cut off.
  4. Write the card:
Voice card — <handle> · <Brand> · built <YYYY-MM-DD> from <n> posts (<sources>) · status: <confirmed | provisional>
Rules with numbers: …
Openings that are theirs: <5 verbatim>
Pet phrases: … · Never-says: …
Stance ledger: <opinion> — <source post>   (people only)
Humour: …
Brand rules that apply (from learnings): …
5 real posts, annotated (why each one sounds like them)
3 wrong → right rewrites (a generic draft vs the same idea in their voice)
What performed: top 5 / bottom 5 with the likely why
  1. Confirm. Show the card ("does this sound like you?"). A person's card needs that person's yes; until then it is provisional. Their corrections go into the card in their words.

Update

Append new posts, re-measure when at least 8 new ones exist, keep the stance ledger growing, bump the date, save a new version. Never drop a confirmed rule without the person's yes.

Match test (on every draft before it is shown)

  1. Every mechanic within the card's range; emoji set, casing and punctuation habits match exactly.
  2. Swap test: put a competitor's name in. If the draft still reads true, add the detail only this brand or person could say.
  3. Read aloud: would they say it?
  4. Line-up: mix the draft with three real posts; if someone holding only the card can pick out the draft, rewrite it.
  5. Then the claims-gate skill (../claims-gate/SKILL.md) on the draft.

Named people

Never invent first-person experience, a habit, product use, a number or an opinion for a founder, ambassador, employee or customer. An opinion must trace to the stance ledger or to their own words in this conversation. Leave a marked gap ([NAME: the time a customer caught a bug before you did]) for material they haven't given; a gap with no material behind it is cut.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Voice Card AI skill do?

Builds or updates a voice card from a company blog ("extract our blog voice") or how an account or person actually writes, measured from about 8 or more of their real posts (length, casing, emoji, openings, pet phrases, opinions with their source). When there are too few posts, it runs a short interview instead. It ends with a test that checks a draft against the card. The brand's rules always beat the card. Use alone when you already have the account's posts or the person on hand; otherwise run the playbook for the job (e.g. run-organic-social, write-outreach, email-lifecycle).

Why use Voice Card on TypingMind?

Because you install it once and use it with any model. Voice Card is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Voice Card in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/voice-card. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Voice Card?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Voice Card?

As many as you like. As long as a model supports skills, you can use Voice Card with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Voice Card AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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