Keyword research

Pull keyword data from GSC, Ahrefs Webmaster, and DataForSEO. Returns a clustered keyword brief.From its SKILL.md

Install

npx -y skills add hamza-ali-shahjahan/hamzaish --skill keyword-research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

1.5 KB, 351 tokens by cl100k_base, as published. Nobody here has run it

Usage: /keyword-research <domain | topic | competitor-domain> [--for=<product-slug>]

Examples:

/keyword-research linkedup.io --for=linkedup — pull GSC + AWT data for own site
/keyword-research "form builder for indie hackers" --for=formpad — topic search via DataForSEO
/keyword-research typeform.com --for=formpad — competitor's ranking keywords via DataForSEO

Invokes agents/launch/keyword-researcher/SKILL.md. Output saved to products/<slug>/launch/keyword-briefs/YYYY-MM-DD-<topic>.md.

Resolve <for> to a product slug. If omitted and unambiguous from context, infer; else ask.
Determine which API surface to call based on the input:
- Looks like the product's own domain → GSC API + Ahrefs Webmaster
- Looks like a competitor → DataForSEO domain queries
- Looks like a topic (with quotes / spaces) → DataForSEO keyword suggestions
If API credentials aren't set yet (check .env.local for DATAFORSEO_LOGIN, GSC OAuth, etc.), tell the user what's missing and provide the setup link. Don't fail silently.
Execute the agent's protocol.
Save output, print location, summarize top 3 clusters in chat.

Per brief, target < $0.50 in DataForSEO API costs. If a query batch would exceed $2, confirm with user before running.

Read from the repository

Just SKILL.md. No reference files, no scripts.