Discover Brand logo

Discover Brand

OrganizationPopular
anthropics
discover-brand

This skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "audit brand content", "what brand materials do we have", "find our style guide", "where are our brand docs", "do we have a style guide", "discover brand voice", "brand content audit", or "find brand assets".

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namediscover-brand
Stars
25.9K
Forks
3K
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Discover Brand 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/anthropics/knowledge-work-plugins/tree/main/partner-built/brand-voice/skills/discover-brand
  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/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/partner-built/brand-voice/skills/discover-brand .claude/skills/discover-brand
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Discover Brand 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 Discover Brand 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 Discover Brand 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.

Brand Discovery

Orchestrate autonomous discovery of brand materials across enterprise platforms. This skill coordinates the discover-brand agent to search connected platforms (Notion, Confluence, Google Drive, Box, Microsoft 365, Figma, Gong, Granola, Slack), triage sources, and produce a structured discovery report with open questions.

Discovery Workflow

0. Orient the User

Before starting, briefly explain what's about to happen so the user knows what to expect:

"Here's how brand discovery works:

  1. Search — I'll search your connected platforms (Notion, Google Drive, Slack, etc.) for brand-related materials: style guides, pitch decks, templates, transcripts, and more.
  2. Analyze — I'll categorize and rank what I find, pull the best sources, and produce a discovery report with what I found, any conflicts, and open questions.
  3. Generate guidelines — Once you've reviewed the report, I can generate a structured brand voice guideline document from the results.
  4. Save — Guidelines are saved to .claude/brand-voice-guidelines.md in your working folder once you approve them. Nothing is written until that step.

The search usually takes a few minutes depending on how many platforms are connected. Ready to get started?"

Wait for the user to confirm before proceeding. If they have questions about the process, answer them first.

1. Check Settings

Read .claude/brand-voice.local.md if it exists. Extract:

  • Company name
  • Which platforms are enabled (notion, confluence, google-drive, box, microsoft-365, figma, gong, granola, slack)
  • Search depth preference (standard or deep)
  • Max sources limit
  • Any known brand material locations listed under "Known Brand Materials"

If no settings file exists, proceed with all connected platforms and standard search depth.

2. Validate Platform Coverage

Before confirming scope, check which platforms are actually connected and classify them:

Document platforms (where brand guidelines, style guides, templates, and decks live):

  • Notion, Confluence, Google Drive, Box, Microsoft 365 (SharePoint/OneDrive)

Supplementary platforms (valuable for patterns, but not where brand docs are stored):

  • Slack, Gong, Granola, Figma

Apply these rules:

  1. If zero document platforms are connected: Stop. Tell the user: "You don't have any document storage platforms connected (Google Drive, SharePoint, Notion, Confluence, or Box). Brand guidelines and style guides almost always live on one of these. Please connect at least one before running discovery. Gong/Granola/Slack transcripts are valuable supplements but unlikely to contain formal brand documents."

  2. If no Google Drive AND no Microsoft 365 AND no Box: Warn (but proceed): "None of your primary file storage platforms (Google Drive, SharePoint, Box) are connected. Brand documents frequently live on these platforms. Discovery will proceed with [connected platforms], but results may have significant gaps. Consider connecting Google Drive or SharePoint."

  3. If only one platform total is connected: Warn (but proceed): "Only [platform] is connected. Discovery works best with 2+ platforms for cross-source validation. Results from a single platform will have lower confidence scores."

3. Confirm Scope with User

Before launching discovery, confirm:

  • Which platforms to search (default: all connected)
  • Whether to include conversation transcripts (Gong, Granola) or just documents
  • Any known locations to prioritize

Keep this brief — one question, not a questionnaire.

4. Delegate to Discover-Brand Agent

Launch the discover-brand agent via the Task tool. Provide:

  • Company name (from settings or user input)
  • Enabled platforms
  • Search depth
  • Any known URLs or locations to check first

The agent executes the 4-phase discovery algorithm autonomously:

  1. Broad Discovery — parallel searches across platforms
  2. Source Triage — categorize and rank sources
  3. Deep Fetch — retrieve and extract from top sources
  4. Discovery Report — structured output with open questions

5. Present Discovery Report

When the agent returns, present the report to the user with a summary:

  • Total sources found and analyzed
  • Key brand elements discovered
  • Any conflicts between sources
  • Open questions requiring team input

6. Offer Next Steps

After presenting the report, offer:

  1. Generate guidelines now — chain to /brand-voice:generate-guidelines using discovery report as input
  2. Resolve open questions first — work through high-priority questions before generating
  3. Save report — store the discovery report to Notion or as a local file
  4. Expand search — search additional platforms or deeper if coverage is low

Open Questions

Open questions arise when the discovery agent encounters ambiguity it cannot resolve:

  • Conflicting documents (e.g., 2023 style guide vs. 2024 brand update)
  • Missing critical sections (e.g., no social media guidelines found)
  • Inconsistent terminology across platforms

Every open question includes an agent recommendation. Present questions as "confirm or override" — not dead ends.

Integration with Other Skills

  • Guideline Generation: The discovery report is returned by the discover-brand agent via the Task tool. Pass it directly to the guideline-generation skill as structured input, replacing the need for users to manually gather sources.
  • Brand Voice Enforcement: Once guidelines are generated from discovery, enforcement uses them automatically.

Error Handling

  • If zero platforms are connected, inform the user which platforms the plugin supports and how to connect them.
  • If all searches return empty results, flag the discovery as "low coverage" and suggest the user provide documents manually or check platform connections.
  • If a platform is connected but returns permission errors, note the gap and continue with other platforms.

Reference Files

For detailed discovery patterns and algorithms, consult:

  • references/search-strategies.md — Platform-specific search queries, query patterns by platform, and tips for maximizing discovery coverage
  • references/source-ranking.md — Source category definitions, ranking algorithm weights, and triage decision criteria

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 Discover Brand AI skill do?

This skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "audit brand content", "what brand materials do we have", "find our style guide", "where are our brand docs", "do we have a style guide", "discover brand voice", "brand content audit", or "find brand assets".

Why use Discover Brand on TypingMind?

Because you install it once and use it with any model. Discover Brand 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 Discover Brand in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/brand-voice/skills/discover-brand. 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 Discover Brand?

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 Discover Brand?

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

Is the Discover Brand AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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