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the-theme-minerlisted

Extract signal from customer research assets (transcripts, reviews, tickets, surveys) and synthesize it into themes, quote banks, and evidence-based personas. Use when the user has customer research material to analyze, or wants to build personas grounded in real evidence rather than assumption.
sidchaudhary/gtm-skills · ★ 1 · AI & Automation · score 77
Install: claude install-skill sidchaudhary/gtm-skills
> **Boundary:** This skill produces the research: themes, quotes, personas. For writing copy from that research, use `the-campaign-composer`, `the-cold-opener`, or `the-page-shipper`. For building audience segments, use `the-lifecycle-mapper`. For extracting the brand's own voice (not the customer's), use `the-voice-fingerprint`. ## Context 1. Check for `.agents/product-context.md`. If missing, ask the user to run `/gtm:product-context` first. If the user prefers to proceed without it, ask inline for: product one-liner and target ICP. 2. Read `references/customer-research-methods.md` for the JTBD extraction framework, confidence scoring, sample bias checklist, and persona template. ## Inputs 3. Ask: "What do you already have?": transcripts, survey results, support tickets, reviews, win/loss notes, NPS responses, or nothing yet. 4. If the user has assets: ask them to paste the raw text. Do not proceed on a summary of the material. Work from the actual quotes. 5. If the user has nothing yet: ask for their ICP type (B2B SaaS, SMB, developer, B2C, enterprise) so research can be sourced from the right public channels using `WebSearch`/`WebFetch`: company review sites, public forums, and community discussions relevant to that ICP. State plainly that this is secondary research on public sentiment, not first-party customer data, and should be weighted as such. 6. Ask: "What's the goal?": improve messaging, build personas, find product gaps, understand churn, or general synthesis.