Skill UI

This skill is designed for complex, multi-step tasks requiring coordination among multiple AI agents. It implements a robust workflow engine that first generates a detailed plan (task graph, topology) and then orchestrates parallel execution with adversarial verification. Use this when the task spans many files, requires multiple specialized roles, or involves an overall 'workflow' concept, ensuring structured, reliable, and auditable results.

A highly visual Kanban board template designed for agile project and workflow management, similar to Trello. It features four distinct columns (To Do, In Progress, In Review, Done) to track the lifecycle of tasks. Users can filter by assignee, label, and search, and optionally group cards using swimlanes for enhanced clarity during operational sprints and team coordination.

A comprehensive Notion dashboard designed for real-time team operations and performance tracking. It provides a centralized overview by aggregating Key Performance Indicators (KPIs) in a grid format, displaying 7-day trend sparklines, showing live activity feeds, and summarizing tasks in a structured database table. Ideal for project managers and team leads who need a single source of truth for project status and team coordination.

This skill utilizes the Taisly Agent Kit to manage the entire workflow for publishing approved short-form videos across major platforms, including TikTok, Instagram Reels, YouTube Shorts, X, and Facebook. It facilitates agent-assisted publishing by ensuring coordination of captions, metadata, and campaign details. A critical feature is the mandatory explicit confirmation gate, which prevents any state-changing publishing action without explicit user approval, prioritizing safety and compliance.

This comprehensive tool guides developers through the entire plugin ecosystem, helping them find and recommend the optimal plugins for any given workflow or task. It covers core coordination, multi-agent collaboration, advanced memory management (Vector DB, RAG), architectural design (ADR/DDD), security auditing, and modern development methodologies. Use it when starting a new project or optimizing existing development pipelines.

Collects distributed trace spans for a specific task ID, building a comprehensive, visual trace tree. Users can analyze the timing of individual spans, identify performance bottlenecks, understand agent coordination, and synthesize a narrative summary of the task's execution flow. Ideal for debugging complex multi-agent systems and improving system observability.

Designs an end-to-end, cross-platform retargeting playbook. This tool maps user behavior across the entire conversion funnel, segmenting audiences by stage (e.g., cart abandoners, viewers). It provides detailed guidance on creative sequencing, frequency capping, cross-platform coordination (Meta, Google, TikTok), budget allocation, and technical tracking setup, ensuring a coherent and optimized customer journey.

A comprehensive guide designed to help researchers determine the optimal conference or journal venue (e.g., AAMAS, NeurIPS, ICML, EC) for multi-agent AI research. It emphasizes that the contribution must center on the interaction result—such as mechanism design, coordination, or negotiation—rather than simply applying a single-agent method in a multiagent testbed. This tool sharpens the research framing before writing begins.

This guide provides a comprehensive strategy for authors managing the complex production relationship with academic editors. It details how to proactively manage crucial elements such as scope fit, assigned length, strict deadlines, and potential overlaps. Use this when an invitation has been accepted and continuous coordination with the editorial and production teams is required to ensure timely and rigorous publication.

Provides a comprehensive guide to managing the end-to-end workflow for submitting academic papers to major conferences like CIKM. It outlines multi-track coordination, crucial milestones (abstract gates, camera-ready), and assigns specific roles (e.g., Form Owner, Compliance Owner) to prevent common academic failures, ensuring timely and compliant publication.

A comprehensive guide for ML research groups planning multi-venue conference submissions (e.g., COLM). It details the critical path of academic publishing, emphasizing backward induction from hard deadlines (abstract, paper, rebuttal, decision). The workflow covers compute budget allocation, co-author coordination, claim tracking, and managing the technical pipeline from initial topic selection to final presentation, ensuring reproducibility and timely execution in fast-paced AI research cycles.

This skill provides comprehensive guidance for authors writing critical, authoritative reviews targeting Coordination Chemistry Reviews (CCR). It details the required scope, mandatory synthesis level, and specific house style expectations concerning advanced topics such as MOFs, coordination catalysis, and bioinorganic chemistry. Use it to assess topic fit, structure a manuscript, and re-frame work for submission to this specialized journal.