Skill UI

This comprehensive guide assists developers in upgrading the klaviyo-api SDK and migrating code between different API revisions (v1/v2 to current REST API). It covers best practices for handling breaking changes, such as switching from ConfigWrapper to ApiKeySession patterns, adjusting property casing (snake_case to camelCase), and updating response access patterns to ensure robust and compliant Klaviyo integrations.

This workflow manages the collaboration and lifecycle of diagrams created in Lucidchart. Users can invite specific collaborators with tailored, role-based permissions (e.g., editor, viewer, commenter). It allows for setting granular access controls, such as restricting downloads, limiting link sharing, or setting document expiry dates. Furthermore, it enables tracking revision history and managing comment threads, ensuring secure and organized team knowledge sharing.

This comprehensive API catalog provides a set of abstractions, including Use Cases and Event Handlers, for managing the core components of a website builder. It enables developers to perform essential operations such as creating, retrieving, updating, and deleting pages, managing page revisions, and handling URL redirects. It serves as the foundational layer for building structured web application logic.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

Simulates a comprehensive, multi-stage academic journal peer review process. This agent dynamically configures five expert reviewers (EIC, 3 peers, and a Devil's Advocate) to evaluate a paper across methodology, domain expertise, cross-disciplinary impact, and core arguments. It provides structured reports, editorial decisions, and revision roadmaps, supporting full reviews, post-revision verification, and calibration modes.

This skill orchestrates the entire academic research lifecycle, managing the process from initial research exploration through writing, peer review, revision, and final publication. It acts as a state manager, ensuring mandatory quality gates, including comprehensive integrity verification for citations and data, and structured two-stage peer review. It guides users through a predictable, reproducible, and documented workflow, eliminating the complexity of managing multi-stage academic projects.

This advanced AI skill converts raw study materials—such as syllabi, past exam papers, or personal notes—into a structured, prioritized, and difficulty-ranked High Score Roadmap. It covers all key question types (Theory, Numerical, MCQ, Coding, Lab) and optimizes study flow by ordering topics from Easy to Hard. Use it for targeted revision, gap analysis, and predicting high-yield exam questions.

This specialized tool revises fragmented drafts of academic papers (including Introduction, Method, Results, and Discussion) into a single, cohesive, and professionally structured LaTeX body. It ensures strict consistency across terminology, metrics, and tone, while adhering to specific preferences like audience, venue style, and required citations. It is designed for academic authors preparing the main manuscript body before writing the abstract.

This skill generates comprehensive, structured redline edits for Word documents. It captures insertions, deletions, and detailed margin comments, allowing users to conduct professional reviews (legal, copy-editing, technical). The output provides a detailed summary, top-level changes, line-by-line tracking, and clear instructions for applying revisions, ensuring the review process is systematic and actionable.