Skill UI

This plugin provides advanced vector search capabilities using two distinct paths. The large-scale path supports millions of vectors via HNSW, ideal for general corpus search. The hot-path router handles small, critical pattern routing (≤11 patterns) with sub-ms latency. Key features include RaBitQ 1-bit quantization for memory efficiency (32× reduction), hyperbolic space search for hierarchical data, and unified cross-namespace search.

Provides a comprehensive guide for modern Vue.js 3 development. It covers the Composition API, optimal component architecture (props, emits), reactive state management using Pinia, advanced routing (Vue Router), and Nuxt/SSR patterns. Use this skill when building, reviewing, or architecting large-scale, maintainable Vue applications.

Ruflo is a powerful, cross-agent orchestration layer designed to manage complex, multi-step AI coding workflows. It supports coordinating large swarms of AI agents, managing persistent memory through semantic search, and executing sophisticated pipelines using 30+ specialized plugins. Ideal for large-scale development tasks, system benchmarking, and deep research requiring coordinated agent effort.

A comprehensive tool for developing full-scale PR pitch packages. It assists users in crafting tailored pitch templates for various media types (national, trade, podcast), building precise target media lists with journalist contacts, and designing detailed outreach sequences. Ideal for proactive pitching or responding to journalist requests, ensuring brand consistency and maximizing coverage potential.

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.

Guides researchers on transforming descriptive findings into robust, conceptual, and portable geographic arguments. This skill focuses on developing a core theoretical contribution grounded in geographic concepts like scale, place, space-time, and environmental-society relations, essential for high-level academic manuscripts.

This guide teaches researchers how to rigorously assess a topic's geographic significance and determine its optimal fit within the Annals of the American Association of Geographers (AAG). It implements a two-part fit test—ensuring the argument is fundamentally geographic (space/place/scale are load-bearing) and possesses sufficient reach to interest neighboring subfields. It guides authors in choosing the correct area (e.g., Human, Physical, Methods) and appropriate journal venue (Annals vs. specialty). Use this when defining a project scope, overcoming reviewer critiques, or deciding wher...

A comprehensive guide for authors submitting data mining papers to the ACM SIGKDD Conference. It helps authors assess the manuscript's fit, reframe the contribution (e.g., from journal to conference style), and strengthens the evidence bar by focusing on novelty, scale, reproducibility, and clear real-world impact required by top-tier data science venues.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

This skill helps authors determine if their research, which focuses on the complex interface between agricultural management and environmental outcomes, is appropriate for the journal 'Agriculture, Ecosystems & Environment.' It details the required scope, from greenhouse gas fluxes and biodiversity to soil and water quality at the field-to-landscape scale, emphasizing the necessity of environmental outcome quantification and sound ecological methodology.

A comprehensive guide designed to help researchers select, articulate, and defend the appropriate interpretive lens and scale for historical arguments. Whether focusing on social, cultural, global, or microhistory, this skill assists in structuring a robust methodology, ensuring that theory is always grounded in primary evidence, and preventing common academic pitfalls like anachronism or over-generalization.

This guide outlines the rigorous methodology of 'close looking' crucial for academic art writing, particularly for Art Bulletin articles. It teaches how to move beyond mere description by systematically analyzing composition, facture, medium, and scale. Every visual claim must be supported by reproducible evidence, such as numbered figures or detail crops, ensuring the argument is grounded in verifiable observation, not mere assertion.