Data & Analytics

bytesagain Bundle

MariaDB database reference — the MySQL fork. Covers temporal tables (system versioning), sequences, CONNECT engine for CSV/JSON/ODBC, Spider sharding, Galera multi-master clustering, MaxScale proxy, at-rest encryption, and migration from MySQL.

bytesagain Bundle

pgvector PostgreSQL vector extension reference. Covers vector column types, cosine/L2/inner product search, SQL JOINs with vectors, IVFFlat and HNSW indexes, Python psycopg2/SQLAlchemy usage, and Supabase RPC function pattern for RAG.

bytesagain Bundle

CockroachDB distributed SQL database reference. Covers PostgreSQL-compatible SQL, serializable transactions, multi-region deployment with locality controls, survival goals, hash-sharded indexes, backup/restore, and operational monitoring.

bytesagain Bundle

Couchbase distributed document database reference. Covers N1QL (SQL++ for JSON) queries, joins, array operations, indexes, key-value sub-millisecond operations, sub-document mutations, atomic counters, and SDK patterns.

bytesagain Bundle

TimescaleDB time-series database reference. PostgreSQL extension for IoT, metrics, and analytics. Covers hypertables, time_bucket, gapfill, continuous aggregates, native compression with 10-40x reduction, retention policies, and hyperfunctions.

kensaurus Skill

Build interactive, accessible charts, graphs, and data dashboards using Recharts, D3, or Victory. Use when the user says "chart", "graph", "data visualization", "analytics dashboard", "metrics display", "D3", "Recharts", "time-series", or "data display".

kensaurus Skill

Plan-only audit mapping real personal-data flows to the privacy policy, GDPR, Japan APPI, and store labels. Use when "privacy compliance", "what data do we collect?", "App Store privacy labels", or a consumer launch. Analytics consent instrumentation → audit-analytics.

mims-harvard Skill

Answer biomedical FACTUAL / recall / multiple-choice questions by querying ToolUniverse database tools instead of answering from memory. Triggers on any 'which gene/drug/variant/disease/pathway/miRNA/TF...' lookup, any question phrased 'according to <database>' (DisGeNet, OMIM, MSigDB, miRDB, GTRD, MGI, Ensembl, ClinVar, ChEMBL, OpenTargets, Reactome, GtoPdb, UniProt...), and multiple-choice biology/medicine knowledge questions where one option must be verified against an authoritative source. NOT for analyzing user-supplied data files (CSV/VCF/h5ad → use the data-analysis router) and NOT for open-ended literature synthesis. Use whenever a single correct answer exists in a public biomedical database and could be looked up rather than guessed.

terminalskills Bundle

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

terminalskills Bundle

Expert guidance for Cube, the headless BI and semantic layer that sits between your data warehouse and analytics applications. Helps developers define data models, create metrics APIs, and build analytics features in applications with consistent, governed access to business metrics.

terminalskills Bundle

Expert guidance for Ibis, the Python dataframe library that provides a pandas-like API but generates SQL for execution on any backend — DuckDB, PostgreSQL, BigQuery, Snowflake, Spark, and more. Helps developers write analytics code once and run it anywhere without rewriting SQL for each database.

bytesagain Bundle

ClickHouse OLAP column-store database reference. Covers SQL analytics queries, MergeTree engine family, ReplacingMergeTree, materialized views, distributed tables, real-time aggregation, data types, HTTP API, monitoring, backup, and performance tuning.

bytesagain Bundle

Analyze CSV files with statistical summaries, correlations, and pivot tables. Use when exploring new datasets, checking data quality, finding column correlations, ranking top values, or charting trends.

bytesagain Bundle

Generate ASCII bar, line, pie, and scatter charts from CSV or inline data in your terminal. Use when visualizing datasets, plotting trends, comparing values, or exploring data distributions without opening a spreadsheet.

jantoniofc Bundle

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

michaelschecht Skill

Design telemetry systems, define KPIs, analyze player behavior data, and set up dashboards for data-driven game design decisions. Use when instrumenting a game for analytics or interpreting player data. Also trigger for "game telemetry", "player analytics", "game metrics", "KPIs", "player retention", "funnel analysis", or "player behavior".

michaelschecht Skill

Build predictive models for sports and event outcomes using statistical methods, ELO ratings, regression, Monte Carlo simulation, and machine learning. Use when creating power rankings, projecting game outcomes, estimating win probabilities, or building a quantitative edge. Also trigger for 'prediction model', 'ELO rating', 'power rankings', 'win probability', 'Monte Carlo', 'regression model', 'expected goals', or 'predictive analytics'.

michaelschecht Bundle

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

michaelschecht Bundle

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

michaelschecht Bundle

Kalshi prediction market data (prices, odds, orderbooks, trades). Use for prediction markets, Kalshi, betting odds, election and sports betting, market forecasts. Provides real-time market data, event series information, and comprehensive trading analytics.

curiositech Bundle

Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality", "skill analytics", "skill scoring", "skill performance", "skill metrics", "track skill usage", "skill improvement". NOT for creating skills (use agent-creator), skill documentation (use skill-coach), or runtime debugging (use debugger skills).

curiositech Bundle

Systematic research methodology for formulating problems, building evidence-based arguments, and communicating findings in academic contexts. For scholarly writing, thesis development, and knowledge contribution. NOT for creative writing, journalistic reporting, or business analytics.

curiositech Bundle

Supabase administration, RLS policies, migrations, and schema design. Use for database architecture, Row Level Security, performance tuning, auth integration. Activate on "Supabase", "RLS", "migration", "policy", "schema", "auth.uid()". NOT for Supabase Auth UI configuration (use dashboard), edge functions (use cloudflare-worker-dev), or general SQL without Supabase context.

curiositech Bundle

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech Bundle

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

terminalskills Bundle

You are an expert in Knex.js, the flexible SQL query builder for Node.js that supports PostgreSQL, MySQL, SQLite, and MSSQL. You help developers write type-safe queries with a chainable API, manage database migrations and seeds, build complex joins and subqueries, and use transactions — providing direct SQL control without the overhead of a full ORM.

gonzalezpazmonica Bundle

Skill: Enterprise Analytics

boisenoise Skill

Pandas

boisenoise Skill

Automate SendGrid email operations including sending emails, managing contacts/lists, sender identities, templates, and analytics via Rube MCP (Composio). Always search tools first for current schemas.

boisenoise Bundle

Checks hardcoded secrets, SQL injection, XSS, insecure deps, input validation. Use when auditing security.

pingqlin Skill

SQL Development

rlaope Skill

[omh] Hermes data analysis workflow: scope supplied data with provenance, causal-claim, and hallucination guards. Use when the user says: data-analysis, data analysis, dataset analysis, csv analysis, json analysis, log analysis, table analysis, analyze csv.

newkayak12 Bundle

Use when someone needs help writing or rewriting SQL — authoring complex joins, CTEs, window functions, or recursive queries — or designing a schema from scratch, normalizing an existing one, or migrating queries between database dialects.

kesslernity Bundle

Prepares the trend update for a recurring emailed report: identifies report emails not yet processed, extracts the configured metrics from their spreadsheet, CSV or PDF attachments, returns new rows for an append-only trends sheet and writes a DRAFT summary with period-on-period deltas and flagged anomalies. Use when the user asks to "update the trends for the weekly report", "analyse the latest monthly report", "what changed in the latest report", "do the latest numbers look unusual" or "set up tracking for a report that arrives by email". Do not use for a single file with no trend state, use dataset-insight-pack instead. Drafts for human review; never approves, authorises or signs off.

kesslernity Bundle

Converts a priced estimate spreadsheet into a DRAFT statement of work populated from the user's own SOW template, after checking that line items, hours, rates, subtotals and the grand total add up. Returns the populated SOW and a validation report as Markdown, flags every discrepancy and marks missing fields TBC. Use when the user asks to "turn this estimate into an SOW", "build the statement of work from the pricing workbook", "convert the quote into a scope document", "populate our SOW template from the estimate" or "draft the engagement document from the rate card". Do not use for reviewing or editing an existing SOW, use contract-review-pack instead; for a proposal before pricing is fixed use proposal-skeleton; for RFP or tender answers use rfp-response-drafter. Drafts for human review; never approves, authorises or signs off.

charlieviettq Bundle

Requirements for Outputs