Results for “da”

EL2N: Deep Learning on a Data Diet

Deita: What Makes Good Data for Alignment

CapsFusion: Rethinking Image-Text Data at Scale

Kinetics-400: A Large Video Understanding Dataset

nuScenes: A Multimodal Dataset for Autonomous Driving

Deduplicating Training Data Makes Language Models Better

ImageNet: A Large-Scale Hierarchical Image Database

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

A validation *boundary* is any point where data crosses from a system you do not

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Extracts structured data from PDF documents including tables, forms, and scanned images using OCR

Use when running HMMER master or worker daemon services that front `phmmer`, `hmmsearch`, and `hmmscan` against cached databases.

PRD Skill

Tessie Skill

Discord Actions

Breaks natural-language problem descriptions into sub-tasks suitable for DAG nodes. The entry point of the meta-DAG. Identifies phases, dependencies, parallelization opportunities, and vague/pluripotent nodes that can't yet be specified. Uses domain meta-skills when available. Activate on "decompose task", "break down problem", "plan workflow", "what are the steps", "sub-tasks", "task breakdown". NOT for executing the decomposed tasks (use dag-runtime), building the DAG structure (use dag-planner), or matching skills to nodes (use dag-skills-matcher).

Reference for MariaDB's built-in date and time functions, covering current time, arithmetic, differences, extraction, parsing, formatting, Unix time, time-zone conversion, construction, and Oracle-compatible helpers, with guidance on version-specific behavior and common pitfalls.

Classifies personal vs non-personal data per GDPR Art. 4(1) definition test with decision tree for borderline cases. References Breyer v Germany CJEU C-582/14 dynamic IP ruling and WP29 Opinion 4/2007. Keywords: personal data, GDPR Art 4, data classification, Breyer ruling, identifiability test, PII.

State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.

Craft polished visual web artifacts — pages, dashboards, prototypes, slide decks, animations, UI mockups, and data visualizations — using HTML, CSS, JavaScript, and React.

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

Run SQL queries, explore datasets and metadata, and execute MBQL queries on Google BigQuery through a Metabase integration using Rube MCP (Composio).

Process data with high-performance DataFrames using Polars' expression-based API, lazy evaluation, and parallel execution for ETL, analytics, and pandas migration.

Automates hypothesis generation and testing on tabular datasets using LLMs, combining data-driven discovery with literature integration for scientific research.

Automatically detect and analyze scientific data files across 200+ formats, generating detailed markdown reports with quality metrics and analysis recommendations.

Hardens the Docker daemon by configuring daemon.json with user namespace remapping, TLS authentication, rootless mode, and CIS benchmark controls.

Provides a social media analytics dashboard template for creators, featuring platform switching, KPI cards, follower growth charts, top post previews, and trending topics.

Generates one-day Kiro credit usage reports from LanceDB usage events, with China-time windows, global totals, and account subset breakdowns.

Use `analysis-agent` to create a Task DAG from an accepted source-backed Brief when 2+ tasks have dependencies, parallel value, integration, or release order. Skip single edits, accepted DAGs, and unanalysed requests.

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision. Use when the user requests data labeling or provides relevant inputs for this workflow.

Transform audit data, performance reports, and structured analyses into polished visual deliverables. Generates presentation decks (PPTX), interactive HTML dashboards, or styled markdown reports with charts. Includes a customizable design system with forest green accent and warm cream backgrounds. Use when the user has analysis data and needs a visual deliverable.

Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.

Calculates Korean public holidays and business days through the HuDy MCP server.

DevSecOps IA — Expert en intégration sécurité dans les pipelines CI/CD (SAST, DAST, SCA, container scanning, compliance automation)