brand-research
Kickoff research for a brand you haven't worked on before — web research, existing-ad analysis from the Meta Ad Library, editorial-grammar profiling, sourced + AI-generated brand assets, hook/CTA libraries, and an ad concept brief. Produces one reusable brand-context pack (brand-summary, visual-identity, competitors, audience, existing-ads, brand-grammar, an asset manifest, and a concept brief) in a single pass. Use when starting on a brand the workspace hasn't touched.
npx skills add gooseworks-ai/goose-skills --skill brand-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# brand-research ## Purpose Given a brand (name and/or URL) and a product, produce the full creative-prep package for it: research the product, analyze the brand's running ads, measure their editorial DNA, source logos and reference photos, generate brand-anchored product + lifestyle imagery, and write the brand-context documents a downstream ad/video pipeline consumes. The output is a **brand-context pack** — a self-contained set of artifacts: - `brand-summary`, `visual-identity`, `competitors`, `audience` — the core brand context. - `existing-ads` — what the brand's running ads reveal that web research misses. - `brand-grammar` — the brand's editorial DNA (archetype, pacing, caption style). - an **asset manifest** cataloging every sourced + generated asset with its kind, name, and usage note, plus the binary assets themselves (logos, reference photos, generated stills). - a **concept brief** of brand-level ad concept seeds. Everything is written into a single brand-pack directory under `output_dir`. ## Inputs - `brand` (required) — the brand, used as the pack's folder name, e.g. `amex`, `liquid-death`. - `product` (required) — the specific product / SKU / offer to research, e.g.
- Purpose
- Inputs
- Composed Atoms
- Workflow
- Decision Rules
- Output
- Quality Checks
- Failure Modes
What does the brand-research skill do?
Kickoff research for a brand you haven't worked on before — web research, existing-ad analysis from the Meta Ad Library, editorial-grammar profiling, sourced + AI-generated brand assets, hook/CTA libraries, and an ad concept brief. Produces one reusable brand-context pack (brand-summary, visual-identity, competitors, audience, existing-ads, brand-grammar, an asset manifest, and a concept brief) in a single pass. Use when starting on a brand the workspace hasn't touched.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill brand-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.