Data & Analytics

benbrastmckie Skill

XLSX creation, editing, and analysis routing to sheet-agent

benbrastmckie Skill

Investor meeting note processing and CSV tracking

benbrastmckie Skill

Financial analysis with forcing questions and spreadsheet generation

benbrastmckie Skill

Cost breakdown spreadsheet generation with forcing questions

antgroup Bundle

Code metrics and analytics for better development insights. Track your coding patterns and productivity. Use when: code metrics, productivity tracking, development stats

antgroup Bundle

Comprehensive analytics and telemetry reporting for development environments. Tracks build times, test coverage, and development patterns. Use when: analytics, metrics, telemetry, build tracking, dev stats

jetbrains Bundle

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.

theneoai Bundle

Pandas Expert

theneoai Bundle

Power BI Expert

theneoai Bundle

Tableau Expert

viktorbezdek Bundle

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization.

crazymsn Bundle

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

crazymsn Bundle

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

crazymsn Bundle

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

crazymsn Bundle

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

crazymsn Bundle

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

crazymsn Bundle

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

ghosteken Bundle

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

theneoai Bundle

Spreadsheet Expert

theneoai Bundle

R Statistics Expert

theneoai Bundle

Expert Looker and Metabase user for business intelligence and embedded analytics. Use when building dashboards, creating data models, or implementing self-service analytics

is-bo Skill

Verify tenant context propagation and isolation across data, cache, files, jobs, search, analytics, and administration.

is-bo Skill

Audit event semantics, consent, data quality, identity, privacy, delivery, and decision usefulness.

is-bo Skill

Verify tenant context propagation and isolation across data, cache, files, jobs, search, analytics, and administration.

is-bo Skill

Audit event semantics, consent, data quality, identity, privacy, delivery, and decision usefulness.

masih-0x3 Bundle

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tools. For writing the actual content, see copywriting. For the email sequence after capture, see emails.

masih-0x3 Bundle

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

mr-q526 Bundle

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.

mr-q526 Bundle

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

gongyijie85 Skill

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.

the-utopia-studio Bundle

Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not for creating presentations from scratch.

zjunlp Skill

Calculates total payment processing fees for a merchant over a specified period (day, month, or full year) in the dabstep dataset. Use this skill whenever the question asks for "total fees" a merchant "paid" or "should pay," covering any time window. Involves joining payments.csv with fees.json using multi-field rule matching (card_scheme, account_type, capture_delay, MCC, is_credit, aci, intracountry, monthly_fraud_level, monthly_volume). Always triggers for fee aggregation questions in the payment processing domain.

bbrysonelite-max Bundle

Run the Allsup VETERANS benefits-gap lead batch — same proven process as the SSDI skill, tuned for veterans. Mines veterans who are owed VA benefits but not getting them — never filed / didn't know they qualified, denied or under-rated, or newly eligible under the PACT Act (burn pit / Agent Orange / toxic exposure) — from Reddit + X + TikTok (last 30 days), tiers by need, writes VETERANS-LEADS-{date}.csv/.md to the Desktop, builds a browsable book, publishes it to a permanent here.now link, and drafts the email to Allsup (via Pat Sullivan) for Brent to send. Use when Brent says "run the veterans leads", "veteran leads", "VA benefits leads", "PACT Act leads", or "veterans batch for Allsup". Reachability-graded — never resolve individuals or chase emails/phones. Sibling of allsup-leads-ssdi; keep the two separate.

farmage Bundle

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).

farmage Bundle

Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.

farmage Bundle

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.