Brand Discovery
Skill Verified ActiveRun upstream brand discovery covering audience research, competitive landscape, category dynamics, problem space, and positioning territory exploration. Use this skill at the very start of a brand or website project when the user needs to understand who they're for, who they compete with, what the audience actually needs, and where the brand could plausibly stand. Triggers on brand discovery, audience research, market research, competitive scan, category research, customer research, who is this for, who are we, positioning research, intake, kickoff. Also triggers when a creative brief is requested but the upstream inputs (audience, competitors, problem space) are not yet clear.
To provide a rigorous and systematic approach to brand discovery, ensuring a strong foundation of market and audience understanding before commencing creative or strategic work.
Features
- Covers audience, competitors, category, and positioning
- Provides structured framework and methodology
- Includes interview guides and report templates
- Defines clear 'when to use' and 'when NOT to use' criteria
- Identifies common failure patterns and strategic implications
Use Cases
- At the very start of a new brand or website project.
- When a creative brief is requested but upstream inputs are unclear.
- To understand audience needs and market dynamics before product development.
- To identify and map competitive landscapes and positioning opportunities.
Non-Goals
- Validating specific designs or features with users.
- Mapping the customer journey of an existing audience.
- Generating brand names or visual directions directly.
- Deep dive into specific marketing channels or tactics.
Practices
- Brand strategy
- Market research
- Audience research
- Competitive analysis
Installation
npx skills add rampstackco/claude-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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