Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 12,625
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Showing 11,689–11,712 of 12,625 skills

Ahp Decision HelperAHelp users make decisions among multiple alternatives using the Analytic Hierarchy Process (AHP). Use when the user needs to choose between multiple options, compare alternatives, rank choices, or decide which option is best for their situation. Triggers on phrases like "帮我选", "哪个更好", "帮我分析", "帮我决定", "优先级", "对比", "AHP", "层次分析法", or any multi-criteria decision scenario.databashnodeVotes: 0GitHub stars: 2
Tochi Satei KunA日本初のOSS（オープンソース）AVM、「AVM界のLinux」を目指す土地査定エンジン。日本の土地（更地・所有権）の査定価格をMLIT取引事例から統計的に算定する白箱AVMスキル。媒介査定・売却価格の検討・お客様への査定書作成・相場確認・取引事例比較・比準価格算定・公示価格との比較など、土地の価格を客観的かつ説明可能な形で出したい時は、ユーザーが「ヘドニック」「回帰」「白箱」と言わなくても必ずこのSkillを使うこと。トリガー語例：「土地の査定」「土地査定して」「査定書を作って」「査定書がほしい」「いくらで売れる」「売却価格」「査定価格」「相場感」「相場を出して」「マーケット価格」「取引事例から」「事例比較で」「比準価格」「公示価格と比べて」「お客さんに渡す査定書」「顧客提示用の資料」「土地価格査定クン」「土地査定クン」「重調クンの土地版」「説明できる査定」「根拠付きで査定」「AVM」「自動査定」「鑑定書ではなく査定書として」など。MLIT取引価格情報CSV と地価公示GeoJSON（L01）を入力に（基準地価は不可）、ヘドニック係数を都度回帰で算定して個別格差補正を全開示する...datapythongoVotes: 0GitHub stars: 5
reddit-intelAScrape Reddit posts by keyword, classify intent and sentiment by industry, translate to Chinese, and export a bilingual Excel intelligence report. Trigger when user says: scrape reddit, reddit analysis, reddit insights, monitor reddit, 爬reddit, reddit舆情, reddit帖子分析, 分析reddit, reddit监控, 帮我看看reddit上, reddit上有什么人说datapythongoVotes: 0GitHub stars: 2
occupancy-insightsAAnalyzes occupancy, utilization, and presence data from any source (Wi-Fi device counts, badge swipes, sensor headcounts, camera counts, manual surveys, room reservations) to surface trends, peaks, day-of-week patterns, anomalies, and prioritized recommendations. Use when the user shares headcount, foot-traffic, badge, Wi-Fi, occupancy, utilization, or facility usage data and asks to analyze, summarize, find patterns, detect a trend, identify peak times, build a heatmap, compare days, find un...datapythongoVotes: 0GitHub stars: 2
polymarket-public-analysisAFetch a public Polymarket wallet's activity, positions, and order-book context, then summarize behavior, exposure, and market focus from a JSON snapshot. Use when analyzing a public wallet or bot without generating copy-trade instructions or reverse-engineered parameter packs.datapythonbashVotes: 0GitHub stars: 2
Data Science MethodologyAApply a disciplined data science methodology — treating data science as a process, not a single tool or piece of code. Use this skill whenever the user asks for help with ANY data science task: EDA, data cleaning, feature engineering, model building, predictions, classification, forecasting, ML pipelines, or "doing data science on this dataset". Also use when the user mentions Python/pandas/scikit-learn/notebooks in a data-analysis context, talks about a dataset they want to analyze or model,...datapythonrustVotes: 0GitHub stars: 2
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SkillBAd intelligence & app analytics assistant. Search ad creatives, analyze apps, view rankings, track downloads/revenue, and get market insights. Get your API key at https://www.admapix.com. Triggers: 找素材, 搜广告, 广告素材, 竞品分析, 广告分析, 排行榜, 下载量, 收入分析, 市场分析, 投放分析, App分析, 出海分析, search ads, find creatives, ad spy, ad analysis, app ranking, download data, revenue, market analysis, app intelligence, competitor analysis, ad distribution.datagobashVotes: 0GitHub stars: 5
amazon-product-research-skillAAmazon Best Sellers category analysis for e-commerce product research and selection decisions. Activates when users analyze Amazon categories, find black horse products, research competitors, or evaluate market entry opportunities. Triggers on phrases like analyze Amazon category, find high-potential products, Amazon Best Sellers research, product selection analysis, competitor analysis, market opportunity scan. Supports macro category analysis (price tiers, brand concentration, monopoly risk...datapythongoVotes: 0GitHub stars: 8
find-influencerASearch and evaluate high-potential content creators across platforms (Xiaohongshu, Douyin, Bilibili, etc.). Interactive workflow: collect requirements -> search -> filter by data -> deep content analysis -> report. Use when: user wants to find creators, bloggers, KOLs, influencers, or evaluate content quality. Triggers: find influencer, find creators, find bloggers, search KOL, find influencers, talent scout, creator analysis, find-influencer, 找达人, 搜索博主, 达人检索, 博主分析.datajavascriptpythonVotes: 0GitHub stars: 3
SkillAA股个股量化分析技能——基于"双引擎四层"融合模型（基本面多因子60% + 量价关系25% + 风险控制15%），对A股个股进行系统化量化评分与投资评级。当用户提到分析A股股票、个股量化分析、股票投资评级、买卖时机判断、量价分析、基本面选股、多因子评分，或要求用融合模型/量化模型分析某只股票时，务必使用此技能。即使未明确提及"量化"，只要用户想分析某只A股个股的投资价值，也应触发此技能。dataVotes: 0GitHub stars: 8
campfire-analystAYour portfolio is a fingerprint. Campfire Analyst reads it. Connects to Zerodha, runs a full-stack analysis — sector breakdown, description: "Your portfolio is a fingerprint. Campfire Analyst reads it. Connects to Zerodha, runs a full-stack portfolio intelligence analysis — thematic map, sector breakdown, Campfire Vitals scoring, concentration risk (direct + MF look-through combined), benchmark comparison, expense ratio audit, liquidity profile, dividend yield, weighted beta, and a Fix List w...datajavascriptgoVotes: 0GitHub stars: 3
polymarket-analystADeep-dive analyst for Polymarket prediction market trader accounts. Use this skill whenever a user wants to: analyze a Polymarket wallet address or username, profile top/winning Polymarket traders, reverse-engineer trading strategies on Polymarket, track whale activity, compute P&L or performance metrics for any trader, compare multiple trader accounts, or understand what makes a profitable Polymarket account. Always trigger when the user mentions "Polymarket", "prediction market trader", "wa...datapythongoVotes: 0GitHub stars: 7
majia-guanyuanA观远 BI（Guandata）实战增益层。标准查数、指标批量查询、本地分析、建卡发布、ETL、数据集和表单结构管理、工作流、指标写入路由官方六组件。专攻 ETL 整库治理、SmartETL 全链路重写、引擎报错、自定义图表与 HTML 看板排障、看板口径档案与只读逐格验收、v7 发布兼容、移动端 phoneLayout、门店手机成绩单、SuperApp 的 LLM 中转及历史兼容、AI-native ADS 架构判断。餐饮会员公式见 majia-huiyuan。触发：看板口径档案、看板答案对账、观远、Guandata、会员、订单、复购率、RFM、ETL 治理、payload_json、自定义图表、HTML 看板、门店手机成绩单、换店滤空、phoneLayout、60004、SuperApp、ILLEGAL_JSON_RES、数据架构。datajavascriptpythonVotes: 0GitHub stars: 16
ssq-predictorA中国福利彩票双色球号码预测分析大师。深耕彩票分析三十年，精通数学、物理学、概率论、易经玄学等专业知识，擅长多维度号码研判。通过分析历史走势数据，结合概率统计与传统智慧给出号码推荐。触发词："双色球"、"彩票预测"、"选号"、"下期号码"、"红球蓝球"。datapythonbashVotes: 0GitHub stars: 8
seo-dataADirect access to Google Search Console, Google Analytics 4, and Bing Webmaster Tools data via OAuth/API key. Use whenever the user asks SEO, search performance, organic traffic, ranking, impressions, clicks, CTR, conversions, traffic source, landing page, or analytics questions and wants real numbers from their own properties — not generic advice. Triggers on "SEO", "search console", "GSC", "GA4", "analytics", "Bing webmaster", "rankings", "keywords", "impressions", "clicks", "organic traffic...datapythongoVotes: 0GitHub stars: 23
News DigestADaily curated news digest for your domain. One command to set up, zero API keys, works offline after first fetch.datapythonrustVotes: 0GitHub stars: 4
Nice FiguresAGenerate matplotlib figures in the soft-pastel + warm-earth visual register used by AI alignment research blogs (Anthropic-style) — bold sans-serif display titles, scatter overlaid with smoothed trends and shaded confidence bands, minimal axes, '↓better' badges, warm coral/peach/sage/blue palettes, white background by default. Use this skill whenever the user asks for plots in an Anthropic-style, alignment-research style, soft-pastel style, research-blog style, or conference-poster style. Tri...datapythongoVotes: 0GitHub stars: 10
AlphadynamicsARun AlphaDynamics protein torsion-dynamics prediction. Use when user wants to predict, analyze, or compare backbone dihedral (phi/psi) ensembles for a peptide / short protein sequence — e.g. "predict torsions for AAAY", "what conformations does KLVFFAE adopt", "compare AAAY vs AAAW", "Ramachandran for [sequence]". The Python package `alphadynamics` (v0.3.9+) is already pip-installed system-wide.datapythonbashVotes: 0GitHub stars: 9
KaggleAUnified Kaggle skill. Use when the user explicitly mentions Kaggle, kaggle.com, a Kaggle URL, Kaggle competitions, Kaggle datasets/models/notebooks, Kaggle forums/discussions/writeups, Kaggle benchmarks, hackathons hosted on Kaggle, Kaggle badges, or Kaggle account setup. Do not use for generic ML, GPU/TPU, notebook, dataset, benchmark, or data-science tasks unless the user clearly ties them to Kaggle.datapythonrustVotes: 0GitHub stars: 96
India Equity ReportAGenerate a detailed Buy/Sell/Hold equity research report for Indian stock market (NSE/BSE listed companies). Use this skill whenever the user asks for a stock analysis, equity research, investment recommendation, target price, fundamental analysis, technical analysis, or buy/sell/hold opinion on any Indian company or stock. Triggers on phrases like "analyse [stock]", "should I buy [stock]", "research report for [company]", "target price for [stock]", "is [stock] a good buy", "NSE/BSE stock an...datagoVotes: 0GitHub stars: 20
data-craftAGenerate beautiful themed HTML data displays. Six visual idioms with matched voices, rendered as self-contained HTML files. Use when the user asks for charts, dashboards, reports, tearsheets, briefings, data visualizations, or any data-driven document.datagoawsVotes: 0GitHub stars: 8
base-rAProvides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O — using only packages included in a standard R installation. Use when the user writes or debugs R scripts, works with vectors, matrices, lists, data frames, or factors, applies the apply family (sapply, lapply, vapply, tapply), fits models with lm/glm/aov/nls, creates base graphics with plot/barplot/hist/boxplot/par, reads or writes CSV/RDS/RData files, or asks about R l...datapythongoVotes: 0GitHub stars: 9
ecommerce-website-dataAFree, instant access to ecommerce data on 10M+ ecommerce stores and ecommerce websites. Search Shopify stores, WooCommerce sites, and more. Capabilities: (1) Search ecommerce stores by keyword & filters (2) Full store analytics with 100+ data fields (3) Historical GMV & traffic trends (4) Installed apps & tech stack (5) LinkedIn contacts. Use when the user wants ecommerce website data, Shopify store analytics, competitor analysis, revenue trends, or decision-maker contacts. Triggers: "search ...datapythongoVotes: 0GitHub stars: 13
dataset-generatorAUse this when the user wants to generate, normalize, verify, deduplicate, or export training datasets for Codex, Antigravity, or Claude Code from topics, URLs, reference material, web research, or existing JSONL/CSV files. Supports SFT and DPO workflows, custom export schemas, and deterministic local pipeline scripts.datapythonrustVotes: 0GitHub stars: 20