outlier-post-finder
ScrapeCreators
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outlier…
OPENAGENTSKILL / DIRECTORY
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Results: 16
ScrapeCreators
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outlier…
aiagentwithdhruv
Find viral YouTube videos from adjacent business niches to extract content patterns and hooks. Use when user asks to find content inspiration, YouTube outliers, viral vi…
OpenSenseNova
识别 Excel 中的超限数值与错误单元格并进行高亮标注。
OpenSenseNova
执行全面的异常值检测与数据质量评估,利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征,适用于非正态分布数据的预处理阶段。
vc1492a
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
selimfirat
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
MIT-SPARK
Certifiable Outlier-Robust Geometric Perception
safe-graph
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
ScrapeCreators
Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choi…
Aperivue
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approval gates at each step. Handle…
agentii-ai
Quantitative stock screening, forward-looking valuation outlier detection, backward-looking financial statement validation, PEG ratio analysis, earnings growth profile a…
MISTLab
Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
gaasher
Use when the user has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, no…
gaasher
Use when the user has a results draft or a set of data-backed claims and wants each one adversarially verified against the underlying dataset before publishing — a pre-p…
indranilbanerjee
Render an ASCII analytics dashboard of ContentForge production history — quality score trends, phase-by-phase pipeline timing, brand and content-type comparisons, compli…
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