MeerkatAI

You can write product charters, generate product concept houses using JTBD and Bain value elements, build product roadmaps in Excel with P0-P3 priorities, process interview transcripts into insight maps, create sales scripts and video storyboards via FABE, and analyze minimum controllable technology points with TRIZ and patent layout.

They target product managers, market analysts, user researchers, industrial designers, and retail sales trainers in consumer goods companies. Skills apply across FMCG, durable goods, services, and experience categories, with examples drawn from home appliances, two-wheeler vehicles, and automotive retail.

Each skill is triggered by Chinese keywords or task descriptions, then guides the model through structured multi-step frameworks. Inputs like selling points, interview transcripts, or roadmap documents are transformed into deliverables such as Excel tables, PPTX one-pagers, HTML visualizations, and canvas matrices.

Most skills work standalone from user-provided inputs. The retail launch skill explicitly uses an in-package desensitized talk-track prototype library without external knowledge bases, and it never fabricates product facts, competitor conclusions, or safety claims. Selling-point packaging can optionally link with an AKU atomic knowledge unit library.

Skills cover the 5x3 business success canvas, three-roadmap-in-one planning, four-quadrant industry contradiction mapping, dual-track AI north-star metric definition for consumer enterprises, minimum conversion action design, and differentiated value polishing with strict causal-chain validation across insight and technology fields.