Skill UI

This skill enables product owners to manage backlogs and execute sprints effectively. It covers writing user stories, defining acceptance criteria, sprint planning, and velocity tracking. Use it for backlog grooming, story estimation, and prioritizing features within Scrum frameworks.

An expert tool for generating high-level system context documentation using the C4 Model. This skill helps define system boundaries by documenting key personas, user journeys, core features, and external dependencies. It provides a stakeholder-friendly overview, ideal for initial architectural planning and system scoping.

Run comprehensive web application security assessments through Burp Suite’s proxy, repeater, and scanner features to intercept, modify, and analyze HTTP traffic while spotting vulnerabilities for remediation planning.

A comprehensive guide detailing how to optimize the entire software development lifecycle within the Cursor IDE. It walks users through an AI-augmented loop covering planning (Chat), scaffolding (Composer), implementing (Tab), refining (Inline Edit), testing (Chat/Terminal), committing, and reviewing code using integrated AI and Git features. Designed for maximizing developer efficiency and code quality.

A comprehensive guide for developers planning Deepgram SDK version upgrades (v3/v4 to v5) and model migrations (Nova-2 to Nova-3). This resource details breaking changes, provides side-by-side API comparisons, and includes automated validation scripts to ensure smooth integration of new features and improved speech recognition capabilities.

Guides SaaS teams through planning launches, feature announcements, and GTM timing by focusing on owned, rented, and borrowed channels plus staged phases that build momentum and convert demand into users.

This skill provides a rigorous framework for tackling complex software development tasks. It guides users to break down large features, refactoring efforts, or bug fixes into small, actionable, and independently verifiable steps. By focusing on clear outcomes, dependencies, and specific verification criteria, it ensures that the implementation process is structured, manageable, and traceable from start to finish.

Guides sales engineers through RFP/RFI analysis, competitive feature matrices, POC planning, demo prep, and proposal delivery using Python tooling and checkpoints to ensure coverage, differentiators, and win/loss insights.

A comprehensive framework guiding feature planning and implementation through adaptive phases: Specify, Design, Tasks, and Execute. It enforces highly structured development practices by using EARS notation, atomic tasks, deterministic Conventional Commits, and mandatory code validation scripts. Features include requirement traceability, automatic verification, and a self-improving lessons layer, ensuring quality and compliance throughout the lifecycle.

Guides multi-location retailers through demand forecasting, safety stock calculation, replenishment planning, promotional lift estimation, and ABC/XYZ segmentation, blending statistical best practices with ML-ready feature engineering to balance service levels and inventory costs.

This skill implements the BDI (Belief-Desire-Intention) architecture for advanced cognitive agent modeling. It allows agents to reason about context by transforming external knowledge (like RDF triples) into internal mental states (beliefs, desires, intentions) and vice versa. Key features include goal-directed planning, explainable reasoning chains, and T2B2T (Triples-to-Beliefs-to-Triples) flow, making it ideal for multi-agent systems and augmenting LLMs with formal cognitive structures.

This command guides the entire lifecycle of major feature development, providing a structured, multi-phase workflow. It helps users move a feature from initial concept (research) through planning, implementation, and progress tracking. Use it when you need to coordinate status, next steps, and phased delivery for complex features.