Data & Analytics

josephcooperhc Bundle

全面的电子表格创建、编辑和分析工具，支持公式、格式设置、数据分析和可视化。当Codex需要处理电子表格(.xlsx, .xlsm, .csv, .tsv等)时使用：(1)创建带公式和格式的新电子表格，(2)读取或分析数据，(3)修改现有电子表格并保留公式，(4)电子表格中的数据分析和可视化，(5)重新计算公式。触发词：处理Excel、编辑表格、创建Excel、电子表格分析、Excel公式。

hmzainjamil Skill

Automated lead extraction system — Vibe Prospecting MCP + Apollo MCP + Excel export + outreach sequences. Also orchestrates hmz-daily-leads, hmz-bdm-morning-sweep, hmz-bdm-evening-sweep, hmz-indeed-mcp-sweep scheduled pipelines.

rycen7822 Skill

Generate publication-quality plots for ML papers from experiment CSV/JSON logs, including ablations, confidence intervals, and camera-ready styling.

rycen7822 Skill

Codex curated Hugging Face skill for Dataset Viewer API workflows: splits, first rows, paginated rows, search, filters, parquet URLs, size, and statistics.

rycen7822 Skill

Consolidate multiple CSV spreadsheets into a normalized taxonomy with deduplication, column mapping, hierarchy alignment, and audit reports.

222333555 Bundle

Excel用例生成工具 - 根据用户需求生成Excel格式的测试用例文档。当用户需要创建测试用例文档、根据需求生成测试用例或生成功能测试用例表格时使用。支持创建包含用例编号、用例名称、前置条件、测试步骤、预期结果和优先级等标准字段的Excel测试用例文件。

santosomar Bundle

Analyze MITRE ATT&CK T1505.001 SQL Stored Procedures in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1505.001, SQL Stored Procedures, or enterprise ATT&CK. Adversaries may abuse SQL stored procedures to establish persistent access to systems.

basezh Bundle

Access Web3 and crypto intelligence via [Heurist Mesh](https://mesh.heurist.ai) — 30+ specialized AI agents for cryptocurrency analytics, token data, wallet analysis, Twitter/X intelligence, and bl...

basezh Bundle

Professional market data and AI APIs via x402 micropayments — no API key, no signup, no subscription. Pay per call with USDC on Base. 234+ endpoints across 16 provider groups: Web3 intelligence (RootData — 70,000+ crypto projects, VCs, funding rounds, trending, KOLs, personnel movement), crypto market data (CoinAnk derivatives analytics, nofxos.ai AI signals, CoinMarketCap quotes/listings/DEX/MCP), US stocks & options (Alpaca, Polygon, Alpha Vantage), China A-shares (Tushare), forex & global time-series (Twelve Data), and AI inference (GPT-5.4/5.3, Claude Opus/Sonnet/Haiku, DeepSeek V3/Reasoner, Qwen3-Max/Plus/Turbo/Flash/Coder/VL, Gemini 3.1 Pro/Flash/2.5, Grok-4.1/4/3-Mini, Kimi K2.5/K2, embeddings, DALL-E). One wallet, instant access to any paid API — no registration ever required.

soufiane-bi Bundle

Query Snowflake safely using programmatic access token or browser SSO authentication, and design or scaffold Snowflake Streamlit writeback apps. Use whenever the user mentions Snowflake, Snowflake SQL, warehouse/database/schema exploration, table metadata, DDL, sample data, query execution, business analysis backed by Snowflake, Streamlit in Snowflake, app-managed writeback tables, forecast/promotion/adjustment apps, or Snowflake app admin setup. Enforce read-only SQL guardrails for direct exploration scripts; generate writeback DDL/DML only as reviewed app code or explicit user-requested SQL.

kwokyc Skill

This skill should be used when "check for security issues", "security review", "scan for vulnerabilities", "find security bugs", "audit this code for security", "check for SQL injection", "check for XSS", "find hardcoded secrets", "security audit".

kwokyc Skill

This skill should be used when "optimize this query", "slow database queries", "N+1 query problem", "add database index", "SQL performance", "query is slow", "optimize ORM queries", "database bottleneck", "reduce query count".

jonasweinert Bundle

Generates publication-ready LaTeX tables produced by code (Stata `esttab`/`outreg2`, R `modelsummary`/`fixest::etable`, Python `stargazer`/`pyfixest.etable`) and writes them directly to the paper's `tabs/` folder. Defaults to DIME's "full replicability" standard (no copy-paste from any console), `booktabs` styling, three-line tables, threeparttable notes, sensible significance stars, and `\Cref{}`-friendly labels. Aligned with DIME Analytics' [Exporting Analysis](https://dimewiki.worldbank.org/Exporting_Analysis) and [Submit Table checklist](https://dimewiki.worldbank.org/Checklist:_Submit_Table). Use when the user asks for regression tables, summary statistics, balance tables, descriptive statistics, mean-comparison tables, multi-spec tables, or any code-to-LaTeX-table workflow.

jonasweinert Bundle

Foundational data-discipline skill for econometrics work in any language. Enforces the discipline that every other data, analysis, and writing skill depends on: define the unit of analysis before anything else; treat IDs as a contract; merge with explicit cardinality and validation; never silently change the unit of observation; protect PII; document every drop; keep raw immutable; build a master dataset per unit of observation. Cross-language patterns for Stata, R, and Python; aligned with DIME Analytics' [Data Cleaning](https://dimewiki.worldbank.org/Data_Cleaning), [ID Variable Properties](https://dimewiki.worldbank.org/ID_Variable_Properties), and [DataWork Folder](https://dimewiki.worldbank.org/DataWork_Folder) guidance. Use when the user asks to combine datasets, build a panel, validate data structure, set up a project's data folder, handle PII / de-identification, define or change the unit of analysis, debug a merge, or whenever multiple data skills are about to interact (e.g. before running an analysi

jonasweinert Bundle

Generates rigorous, reproducible Stata data-cleaning workflows that follow World Bank DIME Analytics conventions (`iefieldkit`, `ietoolkit`, `iefolder` DataWork structure, `ieboilstart`, `iecodebook`, `ieduplicates`, `iecompdup`, extended missing values, master datasets, encryption for PII, dynamic absolute paths). Defaults to codebook-driven cleaning, `assert`/`isid` validation, labeled categorical variables, and reproducible from-clean-session execution. Use when the user asks to clean survey or administrative data in Stata, build an analysis-ready panel, handle duplicates, harmonize datasets across rounds, write a master dataset, de-identify data, label variables, or produce a codebook.

jonasweinert Bundle

Generates rigorous, reproducible Stata regression workflows that follow World Bank DIME Analytics conventions (`ietoolkit`, `iefolder`, master do-files, `ieboilstart`, dynamic absolute paths, `iebaltab`, `ieddtab`, `esttab`). Defaults to modern estimators (`reghdfe`, `ivreg2`/`ivreghdfe`, `csdid`, `eventstudyinteract`, `did_imputation`, `boottest`, `rdrobust`) with weak-IV-robust inference and wild cluster bootstrap when needed. Use when the user asks for OLS, logit, fixed effects, panel regression, DiD, IV, RDD, event study, balance tables, esttab/outreg2, reghdfe, csdid, ivreg2, boottest, ietoolkit, iefolder, master do-file, or publication-ready Stata output.

jonasweinert Bundle

Generates rigorous panel and causal-inference code in Python using `pyfixest` (modern fixest port), `linearmodels.PanelOLS`, `statsmodels`, and pandas, with proper fixed effects, clustering, weak-IV diagnostics, event studies, and DIME-aligned reproducibility. Honest about Python's smaller modern-DiD ecosystem and routes the user to R when needed. Use when the user asks for PanelOLS, pyfixest, fixed effects, two-way clustering, IV2SLS, panel DiD, event studies, weak instruments, BJS imputation, or publication-ready Python regression output.

jonfdag-dot Bundle

The primary supply-chain analyst role for Northwind Logistics. Owns carrier on-time-delivery (OTD), lane cost benchmarks, fill rate, and quarterly carrier rebalancing reviews — the BETWEEN-warehouse axis of the operations data shape. Pairs with `warehouse-operations` (sister role; INSIDE-warehouse axis: inventory, picking, labor). Reads from `public.shipments` (12.3M-row fact) joined to `public.carriers`, `public.lanes`, `public.shippers`, `public.delivery_surveys`.

jonfdag-dot Bundle

Warehouse operations analyst at Northwind Logistics — the INSIDE-warehouse axis (inventory turnover, picking efficiency, labor utilization, dock-to-stock lag). Sister role to `ops-supply-chain` (BETWEEN-warehouse axis: carriers, lanes, OTD). Reads from `public.inventory_snapshots` (daily on-hand snapshots), `public.pick_events` (flow), `public.putaway_events`, `public.shifts`, `public.warehouse_locations`, `public.skus`, `public.cycle_counts`. Critical distinction: snapshot vs. flow — inventory_on_hand is snapshot, units_picked is flow.

adolfosalasgomez3011 Skill

Guidance for Meta Ads and Excel integrations

leionion Bundle

Runs SMA crossover backtests on historical OHLCV/candlestick data, calculating total return, Sharpe ratio, max drawdown, win rate, and trade log. Supports CSV files and JSON input with automatic AKShare/hhxg column normalization. Use when the user asks to backtest a trading strategy, evaluate strategy performance on historical price data, run quantitative analysis, or mentions OHLCV, candlestick data, or equity curves.

rpatel05 Skill

Reads a PR or branch diff and outputs a structured change_brief YAML summarizing what changed, which files, and existing analytics patterns. First step in the instrumentation workflow.

rpatel05 Skill

Summarizes B2B account health by analyzing usage patterns, engagement trends, risk signals, and expansion opportunities using Mixpanel Group Analytics. Use for customer success reviews, renewal preparation, QBRs, or account prioritization.

rpatel05 Skill

Finds product opportunities by cross-referencing analytics data, experiment results, session replays, and feedback. Surfaces high-impact areas for product work.

rpatel05 Skill

From a change_brief YAML, identifies candidate analytics events that should be tracked. Outputs prioritized event_candidates YAML for PM review.

rpatel05 Skill

Maps how analytics is currently implemented in your codebase - SDK usage, naming conventions, property patterns, import styles. Ensures new instrumentation matches existing patterns.

rpatel05 Skill

End-to-end analytics instrumentation workflow for a PR, branch, file, directory, or feature. Reads the code, discovers what events should be tracked, and produces a concrete instrumentation plan. Use this skill whenever a user wants to add analytics to a PR or feature.

ewancy Bundle

Create a source-backed requirement knowledge base Markdown from ZenTao/禅道 tasks, stories, bugs, URLs, local Markdown/Word/PDF/Excel files, screenshots, prototypes, meeting notes, or user-provided requirement text. Use when the user asks to 帮我建立知识库, 创建知识库, 新建需求知识库, 生成需求知识库, 沉淀知识库, 基于本地文件建立知识库, 从文档建立知识库, or 从禅道生成知识库. Creating a new KB must perform ZenTao historical requirement lookup first unless the user explicitly says not to query ZenTao; record hits, no-hit results, reused lookup records, or lookup failure reasons in the KB. Trigger phrases include: $requirement-kb-creator, 建立知识库, 创建知识库, 需求知识库, 禅道知识库, 本地文档知识库, taskID生成知识库, storyID生成知识库, $zentao-kb.

sofia8844 Bundle

Update a named base CSV or Excel financial indicators file with weekly data. Use when Codex receives an existing spreadsheet path or uploaded file plus weekly values in natural language, and must update that same file by replacing the row for the requested week or appending it if the week does not exist, then recalculate retention_rate, loss_percentage, and margin. If the user does not specify a file, use `assets/Datos_Financieros_Semanales.xlsx` as the base and keep the working file inside `actualizar-indicadores/output/`. Trigger on requests such as "actualiza el archivo indicadores.xlsx con estos datos", "actualiza indicadores de esta semana" or "carga datos semanales y recalcula metricas".

sofia8844 Bundle

Analizar informacion financiera semanal combinando un Excel de indicadores con una base accesible via MCP. Use when Codex receives `Datos_Financieros_Semanales` or another weekly KPI workbook plus an available database MCP with tables such as `transactions`, `customers`, and `products`, and must validar cifras, cruzar KPIs con la base, calcular metricas derivadas y entregar insights sobre margen por producto, ingresos por cliente, clientes recurrentes, productos mas rentables, crecimiento semanal y comportamiento por segmento. Always use MCP for database access; if the MCP is unavailable or the session does not expose a usable query surface, stop quickly, report the limitation, and do not attempt shell-based or network fallbacks.

crystalograb Bundle

🛒 E-commerce & Retail skill suite derived from travisvn/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

wiretarantulaknife Bundle

🤖 Data Science & AI/ML skill suite derived from travisvn/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.

ordinarychart Bundle

🛒 E-commerce & Retail skill suite derived from ComposioHQ/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

tameoltreasure34 Bundle

🤖 Data Science & AI/ML skill suite derived from ComposioHQ/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.

fenceboulderheal Bundle

🛒 E-commerce & Retail skill suite derived from GetBindu/awesome-claude-code-and-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

electronlushears Bundle

🤖 Data Science & AI/ML skill suite derived from GetBindu/awesome-claude-code-and-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.