Data & Analytics

abeck617 Skill

Append verified professional emails and phone numbers to contact records using the Onfire `contact_data_enrichment` tool. Use when the user asks for emails, phones, or "contact info" for prospects, when enriching a CSV / CRM list, or as the standing follow-up to any `ai_prospecting` run. PAID per contact per data type — has a strict two-phase consent flow above 10 contacts. This skill enforces that flow.

zhuzhu0833-star Bundle

Analyzes academic transcript PDFs (成绩单), extracts courses/GPA/milestones, produces a structured multi-sheet Excel workbook, and delivers a Chinese analysis summary. Use when the user asks to 分析成绩单, 成绩单转Excel, 成绩单分析, transcript analysis, parse transcript PDF, SSR_TSRPT, unofficial transcript, or save transcript data as .xlsx.

zhuzhu0833-star Bundle

Updates each institution row and column in selected Excel/CSV spreadsheets from official sources, marks changed cells in red font in the output workbook, and generates a PDF change report. Use when the user asks to 更新院校表格, 更新选校表, 标红更新, 红色字体, 表格信息更新, refresh college spreadsheet, update institution table columns, or export a PDF report of spreadsheet changes.

akunikkola Bundle

Monen asiakirjan rinnakkaisvertailu tai yhden asiakirjan rakenteinen taulukointi niin, että jokainen solu on lähteistetty asiakirjan kohtaan. Käytä tätä skilliä, kun samantyyppisiä asiakirjoja pitää verrata taulukkona (rivi per asiakirja, sarake per vertailukohta) — esimerkiksi sopimussalkku, vuokrasopimusten ehdot, työsopimusten kilpailukiellot, due diligence -aineisto, hallintopäätösten erä — tai kun yhdestä asiakirjasta poimitaan rakenteinen taulukko (maksuaikataulu, omistustaulukko, vuokra-abstrakti, liiteluettelo). Jokainen solu saa lähdeviittauksen ja luottamustason; puuttuva tieto merkitään "ei mainittu", ei tyhjäksi. Triggeröi sanoista: taulukoi, taulukkokatsaus, vertaile sopimukset, monta sopimusta, rivi per asiakirja, sopimussalkku, sopimusvertailu, vuokra-abstrakti, maksuaikataulu, abstrakti, due diligence, vertaileva katsaus, poimi taulukko, asiakirjaerä, .xlsx.

buzzmatic Bundle

Google Analytics 4 Data API Skill

daddia Skill

This skill should be used when the user asks to "build me a metrics tracker," "wire up a daily log to the summary sheet," "create a performance tracker spreadsheet," or needs an actual spreadsheet built that replicates a Daily Log / summary-sheet pattern with formulas wired between tabs.

buzzmatic Bundle

Fetch meeting transcripts, summaries, and AI insights from Fireflies.ai. Retrieve transcripts, AI summaries, action items, speaker analytics, conversation insights. Query meetings via AskFred AI for natural-language analysis across one or many meetings. Use for meeting analytics, conversation intelligence, speaker performance, or extracting action items. MCP-first (no API key), with bundled Python scripts as fallback.

bestagentkits Bundle

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

chrismayfield Bundle

Use this skill to analyze and summarize student course evaluations exported as CSVs — the kind James Madison University sends instructors at the end of each term. Triggers on phrases like 'analyze my evaluations', 'summarize student feedback', 'what did students say about my course', or whenever the user uploads one or more CSV files containing student evaluation data with Likert and open-response columns. Also use when the user uploads evaluations spanning multiple semesters or a full promotion period and wants a longitudinal or comparative analysis. The output is a report the instructor can act on, not a generic data summary.

bestagentkits Bundle

Use when Codex should act as the Spatial Data Engineer specialist from Agency Agents. ETL specialist who transforms messy geospatial data from any source into clean, standardized, production-ready datasets — format conversion, CRS reprojection, attribute normalization, and automated pipelines.

bestagentkits Bundle

Use when Codex should act as the Spatial Data Scientist specialist from Agency Agents. Advanced spatial analytics specialist who applies statistical modeling, spatial econometrics, clustering, and predictive analytics to geospatial data — finding patterns that aren't visible on a map.

bestagentkits Bundle

Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.

bestagentkits Bundle

Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.

bestagentkits Bundle

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.

bestagentkits Bundle

Use when Codex should act as the Analytics Reporter specialist from Agency Agents. Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.

bestagentkits Bundle

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.

bestagentkits Bundle

Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.

bestagentkits Bundle

Use when Codex should act as the Retail Customer Returns specialist from Agency Agents. Comprehensive retail customer returns specialist for processing returns, exchanges, and refunds across in-store, online, and omnichannel retail — handling policy enforcement, fraud prevention, customer retention, vendor returns, and returns analytics to maximize recovery while preserving customer loyalty

bestagentkits Bundle

Use when Codex should act as the Sales Data Extraction Agent specialist from Agency Agents. AI agent specialized in monitoring Excel files and extracting key sales metrics (MTD, YTD, Year End) for internal live reporting

bestagentkits Bundle

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.

bestagentkits Bundle

Use when Codex should act as the Document Generator specialist from Agency Agents. Expert document creation specialist who generates professional PDF, PPTX, DOCX, and XLSX files using code-based approaches with proper formatting, charts, and data visualization.

kirrrkaz-org Bundle

Оцифровка таблиц из отсканированных PDF-файлов. Извлечение таблиц из PDF (в том числе без текстового слоя), конвертация в Markdown и Excel с сохранением объединённых ячеек.

uitbreidenos Skill

SQL query writing and optimisation: complex joins, window functions, CTEs, indexes, query plans, migration patterns

uitbreidenos Skill

Apache Spark DataFrames, Spark SQL, PySpark transformations, partitioning, UDFs, Structured Streaming, Delta Lake

uitbreidenos Skill

Pandas and Polars data manipulation: filtering, groupby, joins, time series, performance optimization

uitbreidenos Skill

Generate PPTX presentations, DOCX reports, and XLSX spreadsheets from structured data — using python-pptx, python-docx, and openpyxl without requiring Microsoft Office

uitbreidenos Skill

Product analytics: define metrics frameworks, build dashboards, analyse feature adoption, measure activation and retention, interpret data to make product decisions

uitbreidenos Skill

Data quality audit: identify nulls, duplicates, outliers, schema drift, and type mismatches — generate a data health report and remediation SQL

uitbreidenos Skill

Document processing: extract structured data from PDF, DOCX, XLSX, PPTX files, parse tables, convert formats, handle OCR for scanned documents, and build document pipelines

uitbreidenos Skill

Guidelines and instructions for ORM raw SQL executions

uitbreidenos Skill

Creates 30-day social media calendar with content mix, posting times, engagement hooks, and analytics targets. Integrated with messaging pillars. Returns calendar, copy templates, and posting schedule.

uitbreidenos Skill

Designs and validates normalized or dimensional data models. Assesses schema design for analytics readiness, identifies grain, cardinality, and fact vs. dimension patterns. Outputs entity-relationship diagram and modeling documentation.

uitbreidenos Skill

Analyzes and optimizes SQL queries for performance, readability, and cost efficiency. Identifies missing indexes, execution plan bottlenecks, and refactoring opportunities. Returns optimized query with before/after metrics.

uitbreidenos Skill

Analytics Tracker Skill

uitbreidenos Skill

Generates dbt project structure, model scaffolds, and DAG-ready yaml files. Creates staging, mart, and fact/dimension models with proper documentation and testing hooks. Saves as dbt-compliant yaml and SQL files.

uitbreidenos Skill

Guidelines and instructions for Heatmap analytics tracking attributes (Hotjar)