discover-brand

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill discover-brand
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summary

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.

skill.md

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
how to use discover-brand

How to use discover-brand on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add discover-brand
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill discover-brand

The skills CLI fetches discover-brand from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/discover-brand

Reload or restart Cursor to activate discover-brand. Access the skill through slash commands (e.g., /discover-brand) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.865 reviews
  • Diego Dixit· Dec 28, 2024

    discover-brand fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 24, 2024

    discover-brand fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Min Garcia· Dec 24, 2024

    discover-brand is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Khanna· Dec 24, 2024

    I recommend discover-brand for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Henry Ndlovu· Dec 8, 2024

    We added discover-brand from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Charlotte Agarwal· Dec 4, 2024

    Useful defaults in discover-brand — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Camila Menon· Nov 19, 2024

    discover-brand has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Jin Robinson· Nov 15, 2024

    discover-brand reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Min Farah· Nov 15, 2024

    Solid pick for teams standardizing on skills: discover-brand is focused, and the summary matches what you get after install.

  • Valentina Srinivasan· Nov 11, 2024

    discover-brand fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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