Skill UI

This skill provides a comprehensive, narrative-first review of any marketing plan. It forces strategic alignment by interrogating six crucial areas: Ideal Customer Profile (ICP), Job To Be Done (JTBD), positioning statement, channel mix, CAC payback, and brand defensibility. Use it before major campaigns, repositioning, or when market performance metrics decline.

A comprehensive guide and workflow to create or update a single, reusable product marketing context document. This tool captures foundational elements—such as positioning, Ideal Customer Profile (ICP), use cases, and core messaging—ensuring brand consistency and preventing the need to repeat core business information across multiple projects and tasks.

An expert skill for systematically finding, qualifying, and building highly targeted prospect lists. It supports diverse motions including B2B SaaS, general B2B companies, local small businesses, and early-stage demand-signal discovery. The process guides users through defining the Ideal Customer Profile (ICP), sourcing candidates, rigorously qualifying them, and prioritizing the best targets for outreach.

A comprehensive guide to building robust database layers in Kotlin using the Exposed ORM framework. It covers advanced patterns including DSL queries, DAO entity management, transaction handling, connection pooling with HikariCP, schema migration via Flyway, and implementing the Repository pattern for clean, production-grade data access.

This skill provides comprehensive framework for conducting deep audience research, enabling the creation of detailed buyer personas and sophisticated market segmentation strategies. It covers psychographic profiling, Jobs-to-Be-Done (JTBD) analysis, behavioral segmentation, and defining ideal customer profiles (ICPs). Use it for targeted marketing, product development, and refining outreach efforts across B2B and B2C models.

This package assists researchers in assembling a compliant data and code deposit for AEJ: Economic Policy manuscripts. It ensures adherence to the AEA Data and Code Availability Policy by structuring the openICPSR deposit, generating the required README, and managing restricted data access paths. It is critical for passing the mandated pre-publication reproducibility check.

A comprehensive guide for authors targeting the International Conference on Pattern Recognition (ICPR). This skill helps evaluate if a manuscript fits the venue's scope, covering core topics like pattern recognition, computer vision, biometrics, and machine learning. It details necessary framing, evidence requirements (e.g., ablations, limitations), and how to differentiate the work from similar top-tier conferences (e.g., CVPR, ICML).