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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,857–11,880 of 12,629 skills
- Latent LatencyLatent-Latency SkillVotes: 0GitHub stars: 666
- Knack Filter SortDynamic filtering, sorting, and query optimization for HTI dashboards and compliance reports. Reduces API payload size and improves dashboard perfo...Votes: 0GitHub stars: 666
- Knack Dashboard AiGenerates insight layers and visual summaries from HTI operational data. Transforms raw Knack records into actionable intelligence for stakeholders...Votes: 0GitHub stars: 666
- Ml System DesignEnd-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructure, or serving systems. Covers the complete lifecycle from data ingestion to model deployment and monitoring.Votes: 0GitHub stars: 13
- Julia ScientificJulia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.Votes: 0GitHub stars: 666
- Julia Hydrotools计算短波辐射、长波辐射、潜在蒸散发、日出日落时间、湿度的基本变量处理。Votes: 0GitHub stars: 666
- Julia GayGay.jl integration for deterministic color generation. SplitMix64 RNG, GF(3) trits, and SPI-compliant fingerprints in Julia.Votes: 0GitHub stars: 666
- Ip AttributionA human-centered system for attributing creative contributions across any medium, where containers provide structure and conversations determine valueVotes: 0GitHub stars: 666
- Interactive Feedback Evaluator提供标准化的交互式评估系统，支持在Alma侧边栏直接填写和提交评估表单。自动收集反馈数据并生成结构化总结。Votes: 0GitHub stars: 666
- Insurance Weekly Report华安保险车险周报自动生成器（麦肯锡风格）。将周度车险数据（支持Excel/CSV/JSON/DuckDB）转化为12-13页董事会级经营分析报告。采用问题导向标题、16:9宽屏、四象限/气泡图可视化、深红#a02724配色。报告结构：经营概览、保费进度、变动成本、损失暴露、费用支出，每个章节分机构和分客户类别双维度分析。支持自定义阈值配置和保费计划。触发场景：用户上传车险周报数据文件（.xlsx/.csv/.json/.db），要求生成董事会汇报PPT。Votes: 0GitHub stars: 666
- Insightpulse Deepnote Data LabDesign, organize, and operate Deepnote projects as the InsightPulseAI Data Lab workspace for exploration, jobs, and Superset-ready summary tables.Votes: 0GitHub stars: 666
- Ifc Data ExtractionExtract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.Votes: 0GitHub stars: 666
- HythermalHyThermal SkillVotes: 0GitHub stars: 666
- Hyperparameter TunerHyperparameter Tuner - Auto-activating skill for ML Training. Triggers on: hyperparameter tuner, hyperparameter tuner Part of the ML Training skill category.Votes: 0GitHub stars: 666
- Hydrodynamic AnalysisHydrodynamic analysis using BEM, RAOs, added mass, damping, and wave loads for offshore structuresVotes: 0GitHub stars: 666
- Hybrid SearchUse when building search systems that need both semantic similarity and keyword matching - covers combining vector and BM25 search with Reciprocal Rank Fusion, alpha tuning for search weight control, and optimizing retrieval qualityVotes: 0GitHub stars: 666
- Hybrid Search RrfReciprocal Rank Fusion for merging full-text and vector search results in this project. Convex native searchIndex + vectorIndex integration with admin-toggleable hybrid search. Triggers on "hybrid search", "RRF", "full-text", "vector search", "mergeMessagesWithRRF", "searchIndex", "vectorIndex".Votes: 0GitHub stars: 666
- HusdyrActivates when querying livestock and animal data from GCS. Use this skill for: CHR registry, pig movements, animal welfare, antibiotics, animal density, mortality rates, herd tracking, svineflytning. Keywords: husdyr, livestock, animal, dyr, CHR, svin, pig, ko, cattle, antibiotika, dyrevelfærd, flytning, movementVotes: 0GitHub stars: 666
- Humanizer去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。Votes: 0GitHub stars: 666
- Humanizer KoDetects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.Votes: 0GitHub stars: 666
- HumanizeRemove signs of AI-generated writing from text (formerly human-writing). Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.Votes: 0GitHub stars: 666
- Human ExtractorGPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. This skill should be used when users need to extract human presence from videos, analyze dashcam footage for people detection, perform investigative analysis of human subjects in recordings, or classify individuals with optional head covering detection.Votes: 0GitHub stars: 666
- Hugging Face Dataset CreatorCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates. Designed to work alongside HF MCP server for comprehensive dataset workflows.Votes: 0GitHub stars: 666
- Hub Location ProblemWhen the user wants to solve hub location problems, design hub-and-spoke networks, optimize hub placement for logistics networks. Also use when the user mentions "hub location," "hub-and-spoke," "p-hub median," "hub covering," "single allocation hub," "multiple allocation hub," "airline hub network," "postal hub network," or "consolidation center location." For general facility location, see facility-location-problem. For distribution centers, see distribution-center-network.Votes: 0GitHub stars: 666