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Discover Brand

AnthropicOfficialCreated by Tribe AIDistributed by Anthropic

  • Skill
  • Workflow
  • Business and productivity
  • MIT
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From the author

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".
— the description by Tribe AI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill automates the process of locating, categorizing, and analyzing brand-related assets across various enterprise platforms including Notion, Confluence, Google Drive, Box, Microsoft 365, Figma, Gong, Granola, and Slack. It follows a structured workflow that orients the user, validates platform connectivity, performs a multi-source search, and generates a discovery report. The process is designed to identify authoritative brand guidelines, operational templates, and conversational patterns, while flagging potential conflicts or stale information for human review.

What it does

  • Searches connected enterprise platforms for brand guidelines, style guides, and marketing assets.
  • Categorizes and ranks discovered sources by trust level, recency, and relevance.
  • Produces a structured discovery report highlighting key findings, conflicts, and open questions.
  • Validates platform coverage and warns users if primary document storage is missing.
  • Integrates with guideline generation skills to turn discovery results into formal brand documentation.
  • Provides recommendations for resolving ambiguities or conflicting brand information.

When to use it

  • When you need to audit existing brand content across the organization.
  • When you are starting a new project and need to locate the official brand voice and style guides.
  • When you suspect brand documentation is fragmented or inconsistent across different platforms.
  • When you need to gather evidence to support the creation or update of a company style guide.

Advantages

  • Reduces manual effort by automating searches across multiple disparate platforms.
  • Ensures brand consistency by identifying conflicting or outdated documentation.
  • Provides a clear, prioritized view of brand assets based on authoritative signals.
  • Offers a transparent process with clear steps for user confirmation and review.

Usage examples

“Find our style guide.”
The agent will search connected platforms for documents labeled as style guides, rank them by recency and authority, and present a report on the most current version found.
“Audit our brand content.”
The agent will perform a broad discovery across all connected platforms, categorize findings into authoritative, operational, and conversational sources, and flag any conflicts or stale documents.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/anthropics/discover-brand/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip discover-brand.zip -d .agents/skills

Documentation by Tribe AI

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

Files

references/source-ranking.md

Source Ranking Algorithm

How to categorize, rank, and prioritize discovered brand sources.

Source Categories

AUTHORITATIVE

Official, approved brand documentation. Highest trust level.

Signals:

  • Published style guides or brand books

  • C-suite or marketing leadership authored/approved

  • Lives in an official "Brand" folder or Confluence space

  • Has version numbers or approval dates

  • Referenced by other documents as "the brand guide"

Examples:

  • "Acme Corp Brand Guidelines v3.2.pdf"

  • "Official Style Guide" page in Confluence Marketing space

  • Brand book in Google Drive with company-wide sharing

  • Brand book in Box with company-wide sharing

  • Official Style Guide in SharePoint Marketing site

Trust weight: 1.0 (baseline)

OPERATIONAL

Brand applied in practice. Shows how guidelines manifest in real content.

Signals:

  • Templates actively used by teams

  • Sales playbooks with messaging guidance

  • Email sequences with established tone

  • Presentation templates with brand messaging

Examples:

  • "Cold Email Templates Q4 2024"

  • "Enterprise Sales Playbook"

  • "Customer Success Response Templates"

  • Pitch deck templates in Google Slides

  • Email templates in Outlook

  • Sales playbook on SharePoint

Trust weight: 0.8

CONVERSATIONAL

Implicit brand voice from actual communications.

Signals:

  • Sales call transcripts (especially successful ones)

  • Meeting notes with customer-facing language

  • Internal discussions about positioning

  • Slack threads discussing brand decisions

Examples:

  • Gong recordings of top performer calls

  • Meeting notes from brand strategy sessions

  • Customer success call transcripts

  • Slack #brand channel discussions about tone

Trust weight: 0.6 (valuable for patterns, not prescriptive)

CONTEXTUAL

Background information that informs brand but doesn't define it directly.

Signals:

  • Design files without explicit brand guidelines

  • Competitor analysis documents

  • Industry reports

  • Product documentation

Examples:

  • Figma component library (visual only)

  • "Competitive Landscape Q3 2024"

  • Product feature specifications

Trust weight: 0.3

STALE

Outdated content superseded by newer versions.

Signals:

  • Older version when a newer version exists

  • Pre-rebrand materials after a rebrand

  • Documents explicitly marked as deprecated

  • Content more than 2 years old without updates

Examples:

  • "Brand Guidelines v1.0" when v3.2 exists

  • "2022 Style Guide" when "2024 Brand Update" exists

  • Documents in an "Archive" or "Deprecated" folder

Trust weight: 0.1 (flag for review, do not rely on)

Ranking Algorithm

Apply these five ranking factors in order of priority:

1. Recency (Weight: 30%)

More recent sources are more likely to reflect current brand voice.

  • Score 1.0: Updated within last 6 months

  • Score 0.7: Updated within last year

  • Score 0.4: Updated within last 2 years

  • Score 0.1: Older than 2 years

When two sources conflict, the more recent one wins unless the older source is explicitly marked as the "official" guide.

Always prefer the most recent version of any document. When multiple sources cover the same topic, weight the newest one heavily. Flag any non-AUTHORITATIVE source older than 12 months in the discovery report.

Recency Cutoffs

In addition to soft recency scoring, apply hard cutoffs to prevent stale content from polluting discovery:

AUTHORITATIVE sources: No hard cutoff. Official brand guides remain valid regardless of age unless explicitly superseded by a newer version.

OPERATIONAL, CONVERSATIONAL, CONTEXTUAL sources: Exclude from deep fetch if older than 12 months, with one exception: if zero sources in a category fall within the 12-month window, include the single most recent source from that category and flag it as potentially stale.

STALE sources: Exclude entirely from deep fetch. Include in the discovery report for reference only.

These cutoffs apply at the deep-fetch stage (Phase 3). All sources are still collected during broad discovery (Phase 1) and triage (Phase 2) — the cutoffs filter what gets fully retrieved and analyzed.

2. Explicitness (Weight: 25%)

Sources that explicitly define brand voice outrank those that merely demonstrate it.

  • Score 1.0: Explicit brand instructions ("Our voice is...")

  • Score 0.7: Documented tone guidelines ("Emails should be...")

  • Score 0.4: Implicit patterns in templates or examples

  • Score 0.2: Inferred from conversational patterns

3. Authority (Weight: 20%)

Higher organizational authority indicates more trustworthy brand definitions.

  • Score 1.0: Official brand team or C-suite authored

  • Score 0.7: Marketing leadership authored

  • Score 0.4: Team leads or senior ICs

  • Score 0.2: Individual contributor or unknown author

4. Specificity (Weight: 15%)

Detailed, actionable guidance outranks vague principles.

  • Score 1.0: Specific rules with examples ("Use 'platform' not 'tool'")

  • Score 0.7: Detailed guidelines ("Tone should be warm but professional")

  • Score 0.4: General principles ("Be authentic")

  • Score 0.2: Abstract values only ("We believe in innovation")

5. Cross-Source Consistency (Weight: 10%)

Elements corroborated across multiple sources rank higher.

  • Score 1.0: Appears in 3+ independent sources

  • Score 0.7: Appears in 2 independent sources

  • Score 0.4: Appears in 1 source only

  • Score 0.1: Contradicted by another source

Composite Score Calculation

final_score = (recency × 0.30) + (explicitness × 0.25) + (authority × 0.20)
            + (specificity × 0.15) + (consistency × 0.10)

Multiply by category trust weight:

ranked_score = final_score × category_trust_weight
Example Scoring

Source: "Brand Voice Guidelines v3.2" (Confluence, updated 3 months ago)

  • Recency: 1.0 (3 months old)

  • Explicitness: 1.0 (explicit brand instructions)

  • Authority: 1.0 (marketing VP authored)

  • Specificity: 0.7 (good guidelines, some gaps)

  • Consistency: 0.7 (corroborated by email templates)

  • Category: AUTHORITATIVE (1.0)

  • Final: (1.0×0.30 + 1.0×0.25 + 1.0×0.20 + 0.7×0.15 + 0.7×0.10) × 1.0 = 0.925

Source: "Top Performer Call — Enterprise Close" (Gong, 2 months ago)

  • Recency: 1.0

  • Explicitness: 0.2 (implicit patterns only)

  • Authority: 0.4 (senior AE)

  • Specificity: 0.7 (specific phrases used)

  • Consistency: 0.4 (single source)

  • Category: CONVERSATIONAL (0.6)

  • Final: (1.0×0.30 + 0.2×0.25 + 0.4×0.20 + 0.7×0.15 + 0.4×0.10) × 0.6 = 0.345

Adaptive Scoring: No Authoritative Sources

When discovery finds zero AUTHORITATIVE sources, the scoring algorithm adapts to reflect that conversational and operational sources are the primary brand evidence.

Adjusted Trust Weights (No Authoritative Sources)
CategoryDefault WeightAdapted WeightRationale
AUTHORITATIVE1.01.0(n/a — none found)
OPERATIONAL0.80.9Templates become primary explicit evidence
CONVERSATIONAL0.60.85Transcripts are the best signal for how the brand actually communicates
CONTEXTUAL0.30.4Design and competitive context more valuable without formal docs
STALE0.10.2Even old docs matter more when nothing current exists
Adjusted Explicitness Scoring (No Authoritative Sources)

When no authoritative sources exist, conversational patterns carry more prescriptive weight:

  • Score 0.2 → 0.5: "Inferred from conversational patterns" — these ARE the brand evidence now

  • Score 0.4 → 0.6: "Implicit patterns in templates or examples"

  • Other explicitness scores unchanged

Example: Transcript Scoring With Adaptation

Source: "Top Performer Call — Enterprise Close" (Gong, 2 months ago)

  • Recency: 1.0

  • Explicitness: 0.5 (adapted from 0.2 — patterns are primary evidence)

  • Authority: 0.4 (senior AE)

  • Specificity: 0.7 (specific phrases used)

  • Consistency: 0.4 (single source)

  • Category: CONVERSATIONAL (0.85 adapted)

  • Adapted score: (1.0×0.30 + 0.5×0.25 + 0.4×0.20 + 0.7×0.15 + 0.4×0.10) × 0.85 = 0.552

This puts the transcript well above the 0.5 deep-fetch threshold, ensuring conversational sources meaningfully contribute to guideline generation.

When to Apply

Apply adaptive scoring when:

  • Phase 2 triage produces zero AUTHORITATIVE sources

  • Flag in the discovery report: "No formal brand guidelines found — scoring adapted to weight conversational and operational sources higher"

Triage Decision Criteria

Include in Deep Fetch (Top 5-15 sources)

  • Ranked score > 0.5

  • All AUTHORITATIVE sources regardless of score

  • At least one source per category if available (this overrides the score threshold)

  • At least one source per platform if available

Flag for Review

  • Sources with conflicting information

  • STALE sources that may still be referenced by teams

  • Sources with high specificity but low authority

Exclude

  • Ranked score < 0.1

  • Clearly irrelevant results (e.g., "brand" used in product name, not brand guidelines)

  • Duplicate content already captured from another platform

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Names Claude Code tools

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Tribe AI
Publisher
Anthropic (Official)
Distributed by
Anthropic
Source
anthropics/knowledge-work-plugins · partner-built/brand-voice/skills/discover-brand · commit e050c2e
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from partner-built/brand-voice/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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