Data & Analytics

tangledgroup Bundle

Complete toolkit for PyArrow 24.0.0 providing columnar in-memory data structures, vectorized compute functions, Parquet/CSV/ORC/JSON file I/O, Pandas and NumPy zero-copy integration, IPC serialization, tabular datasets, and Arrow Flight RPC. Use when building Python data pipelines, converting between Pandas/NumPy/Arrow formats, reading or writing Parquet files, performing vectorized array computations, serializing data via IPC, or working with partitioned datasets.

wufufu770 Skill

SQL 注入挖掘：布尔/时间盲注、报错、堆叠查询、NoSQL 注入，含 OOB 外带确认门禁。触发词：注入、SQLi、盲注、数据库报错。目标存在 DB 交互参数时使用。

ur-grue Bundle

Produces a structured extraction plan and clean spreadsheet template for pulling tabular data out of a PDF document — identifying the table structure, defining column headers, flagging extraction pitfalls, and providing a ready-to-use template that ensures the data lands in a consistent, analysable format.

ntizar Skill

PostgreSQL MCP Pro — expone PostgreSQL como servidor MCP para que agentes de IA realicen health checks, tuning de índices, exploración de esquema y ejecución segura de SQL.

ntizar Bundle

Patrones completos para aplicaciones backend en Node.js — autenticación con sesiones, SQLite/sql.js, ESM/CommonJS interop, migración a fullstack.

ntizar Skill

Reearth Flow — plataforma ETL geoespacial web (motor Rust DAG + servidor Go GraphQL + UI ReactFlow) con 167 acciones tipo FME para CityGML/3D Tiles/GeoJSON.

ntizar Skill

Librería Python para acceder a datos del INE (Instituto Nacional de Estadística) de España. Dos interfaces: INEWrapper (bajo nivel, HTTP directo) y INEConsultor (alto nivel, DataFrame-ready). API oficial: https://servicios.ine.es/wstempus/js/{lang}/{funcion}/{input} Repo: https://github.com/Angel-RC/ineapy

marielynneblock 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.

marielynneblock Bundle

Statistical visualisation 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-visualisation.

marielynneblock 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.

marielynneblock Skill

Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimisation prompt for complete development coverage.

marielynneblock Skill

Universal SQL performance optimisation assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimisation, batch operations, and performance monitoring guidance.

marielynneblock 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.

marielynneblock Skill

[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.

marielynneblock Bundle

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimised for drug development, clinical research, and evidence synthesis.

event4u-app Bundle

Use when writing Eloquent models, relationships, scopes, or queries via Model:: — 'fetch users with their orders'. NOT for PHPStan output, non-Eloquent services, or raw SQL questions.

event4u-app Bundle

Convert PDF, DOCX, XLSX, PPTX, EPUB, images, or audio to Markdown via the markitdown-mcp server — 'extract this PDF', 'OCR this image', 'transcribe this audio'.

event4u-app Skill

Use when writing raw SQL — MariaDB/MySQL syntax, parameterization, raw migrations, seeders with `DB::statement`; fires even on a pasted query asking 'why is this slow'.

tangledgroup Bundle

Complete SQLAlchemy 2.0 toolkit for database operations, ORM mapping, and SQL expression construction. Use when building Python applications that require database connectivity, object-relational mapping, or programmatic SQL generation with support for PostgreSQL, MySQL, SQLite, Oracle, and MSSQL.

tangledgroup Bundle

jq 1.8.2 — lightweight command-line JSON processor. Use when the user needs to parse, query, transform, or manipulate JSON data from the command line, process API responses, extract fields from JSON, convert between formats (JSON-to-CSV, JSON-to-XML), validate JSON, or work with any structured data in JSON format. Covers filters, builtins, regex, modules, streaming, and all jq 1.8.2 features.

tangledgroup Bundle

Evaluate Excel formulas in Python without Excel. Use when the user needs to compute spreadsheet formulas, calculate xlsx files, convert formula-based spreadsheets to calculated values, export Excel to CSV/JSON, run batch scenarios, build JSON models from workbooks, or serve spreadsheets as a Flask API. Also triggers on mentions of formulas package, openpyxl calculation, or spreadsheet automation.

tangledgroup Bundle

SQLAlchemy 2.0 ORM and Core toolkit for Python database access. Use this skill whenever the user mentions SQLAlchemy, ORM models, database queries, engine creation, session management, declarative mappings, relationships (one-to-many, many-to-many), connection pooling, async database access, SQL expression construction, or any Python database abstraction task. Covers both Core (expression language) and ORM layers. Supports PostgreSQL, MySQL/MariaDB, SQLite, Oracle, Microsoft SQL Server, and third-party dialects (CockroachDB, IBM DB2, Firebird, SAP HANA, etc.).

marielynneblock Bundle

Use this skill for processing and analysing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualisation 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 visualisations of big data, or build ML pipelines that do not fit in memory.

marielynneblock 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.

marielynneblock 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.

ryan-brosas Skill

Use when authoring or reviewing Adobe Commerce/Magento extensions, strict_types, PSR-12,::class, DI/composition, prepared SQL, escape output, service contracts, and PHPCS Magento2 verification.

ryan-brosas Bundle

Use when porting short-link redirect engines, deferred install attribution (click→install fingerprint matching), mobile fallback chains (Universal Links / App Links / app scheme / store / web), link-safety gating (warn interstitial vs indistinguishable block), write-time bot classification feeding analytics filters, HMAC-signed webhook delivery with capped exponential backoff, or Fastify+Postgres additive-schema bootstrap for an embeddable service — self-hosted deep-link engine foundation.

qualixar Skill

Fast utility scanning package resources.

qualixar Skill

Simple tool for package management tasks.

qualixar Skill

Fast utility scanning report resources.

okhp3 Bundle

Query Notion database rows and filtered lists from a known data source: SQL mode, rows mode, saved-view mode, filter and sort syntax, plan metering, mention-resolution limits, and rich-text fidelity caveats. Use when the user wants rows, records, or a filtered/sorted list from a Notion database, or to run a saved view. Does not find content by keyword across the workspace (use okhp3-notion-search-strategy), does not read page body content (use okhp3-notion-page-read), and does not write anything.

okhp3 Bundle

OverKill Hill P³ SharePoint List build screenshot auditor. Use when reviewing screenshots of SharePoint Online list settings, column settings, indexed columns, content types, views, or Advanced Settings against a repo schema, build card, runbook, ADR, or CSV header. Also activate when the user says they captured SharePoint build screenshots, asks whether a list or column was configured correctly, points to arrows/markups in images, or needs a defect list before continuing manual SharePoint build work. This is the authoritative screenshot-review skill for this repo's UI-only SharePoint build process.

marielynneblock Skill

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

event4u-app Bundle

Shared corpus-grounding engine — BM25 + structured filters + decision rules over CSV corpora via a domain manifest. Use when a skill needs grounded pre-action option-space constraints.

event4u-app Bundle

Use when building or editing a spreadsheet or model — formulas over hardcoded values, read-back after writes, official-source data, pivot-first charts. Triggers on 'spreadsheet', 'build a model'.

swan-gtm Bundle

Use this skill when you have a list of company names — a CSV, CRM export, event attendee list, or pasted prospecting list — and need website domains before enrichment, dedupe, or CRM import. Produces the original list with a resolved domain and a per-row match-confidence label, using the free, keyless Clearbit autocomplete endpoint. Trigger on "find the domains for these companies", "what's the website for X", "clean up this company list", "resolve these company names", "add domains to this CSV", "company name to domain", or Clearbit autocomplete/suggest. Also applies proactively when a company list is missing domains and the next step needs them.