Results for “da”

Create terminal-based charts and visualizations from CSV, JSON, or piped data using tools like YouPlot, Termgraph, Gnuplot, and more.

Runs a post-batch analysis pipeline after an eval completes: verifies results, executes analysis scripts, refreshes dashboards, and writes a summary report.

Analyzes a codebase with multiple agents and builds an interactive React knowledge graph dashboard for onboarding and visual architecture exploration.

Provides guidance on using PyTorch for deep learning, covering tensors, autograd, nn.Module, DataLoaders, and best practices.

Guides writing MariaDB-specific database create scripts with best practices for schema objects, session settings, and UUID usage.

Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data.

Automates Notion workflows via the Notion API, covering database CRUD, page creation, content publishing, and workspace management.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Provisions disposable TiDB Cloud Zero databases via API and CLI, returning connection strings for immediate SQL use.

Computes Theil's U (uncertainty coefficient) between predictions and ground truth using the torchmetrics implementation, handling categorical data and NaN strategies.

Data pipeline specialist for AI system integration. Use when the user asks to talk to Hagrid, requests data integration, or needs embedding pipeline or vector DB setup.

Biblioteca DataFrame rápida (Apache Arrow). Selecione, filtre, group_by, joins, avaliação preguiçosa, I/O CSV/Parquet, expression API, para fluxos de trabalho de análise de dados de alto desempenho.

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.

Query Google Search Console for SEO data - search queries, top pages, CTR opportunities, URL inspection, and sitemaps. Use when analyzing search performance, finding optimization opportunities, or checking indexing status.

Use when you need to navigate relationships between records in NCBI Entrez databases, find related articles, track citations, or link records across different databases such as PubMed to Protein.

Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs using pandas for behavioral analytics and statistical baselines.

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.

Use to check whether a conversation export, dataset or AI pipeline is leaking personal data that should have been redacted, and to measure how well the redaction actually works. Trigger for "is this export safe to share", "check our redaction", "can we use support transcripts for training", sending transcripts to a vendor or model, "is there PII in this dataset", or before opening support data to a wider audience.

Detect data staging activity before exfiltration by monitoring for archive creation with 7-Zip/RAR, unusual temp folder access, large file consolidation, and staging directory patterns via EDR and process telemetry.

Implements BYOD privacy compliance frameworks for personal device use in the workplace. Covers personal vs corporate data separation, MDM capabilities and limitations, employee consent requirements, data wiping boundaries, and monitoring restrictions on personal devices. Keywords: BYOD, mobile device management, MDM, personal device, data separation, containerisation, remote wipe, employee privacy.

The intelligence layer of WinDAGs. Decomposes natural language tasks into Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, executes waves in parallel, and dynamically expands nodes when complexity exceeds executor capability. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.

Scans codebases for GDPR/DSGVO compliance issues, generates DPIA documentation, and tracks data subject rights requests with deadline management.

Build interfaces with UnoCSS using semantic tokens, dark mode parity, and design polish for devtools and landing pages.

Perform astronomical research and data analysis with coordinate transformations, unit conversions, FITS file operations, cosmological calculations, time handling, and tabular data manipulation.

Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.

Apply GDPR-compliant engineering practices across your codebase, covering API design, data models, authentication, logging, retention, and cloud infrastructure.

Automate Ninox database operations through Composio's Ninox toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Ragic database operations through Composio's Ragic toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Prisma database operations through Composio's Prisma toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automates Parsehub data extraction tasks through Composio's Parsehub toolkit via Rube MCP, with tool discovery and connection management.

Automate InfluxDB Cloud operations like querying, managing buckets, and writing data through Composio's toolkit via Rube MCP.

Automate People Data Labs operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and execution.

Design GraphQL schemas, implement Apollo Federation, and build real-time subscriptions with DataLoader patterns and query optimization.

Transforms ideas, files, folders, URLs, or exported data into polished single-file HTML pages with auto-selected design systems.

Rekonstruiert den zeitlichen Ablauf eines Datenschutzvorfalls für die DSGVO-Meldung, prüft Fristen, Form, Zuständigkeit und Rechtsweg und liefert eine Fristen- und Risikoampel mit Sofortmaßnahmen.