Results for “da”

DEPRECATED: Use dag-orchestrator instead. This skill has been merged into the more powerful dag-orchestrator skill.

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

Extract property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.

Generates realistic seed data for development and testing with configurable volumes and relationships

Build real-time voice and multimodal AI applications using Pipecat and Daily, covering pipeline architecture, AI service integration, and transport options.

Extract public web data, search engine results, and structured data from platforms like Google, Amazon, and Zillow using HasData APIs.

Provides guidance for Oracle Database administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, and agent-safe database workflows.

Recover deleted records, analyze freelist pages, WAL files, and unallocated space in SQLite databases for digital forensics and incident response.

Design and review Salesforce sandbox topology, refresh cadence, data masking, and environment purpose to keep production data protected and refreshes manageable.

Crea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.

Fetches real-time EPA air quality data and HUD foreclosure listings through an MCP server, enabling environmental monitoring and housing research.

Explains React Server and Client Components, data fetching, streaming with Suspense, passing data, and Server Actions with code examples.

Reference for building real-time voice and multimodal AI applications with Daily and Pipecat, covering pipeline architecture, AI service integrations, transports, and client SDKs.

Process in-memory tabular data with a fast, expression-based DataFrame library that supports lazy evaluation, parallel execution, and Apache Arrow semantics.

Covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Storage, and Hosting, with patterns for security rules, data modeling, and real-time listeners.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.

Use when content analytics, website performance data analysis, audience insights, or comprehensive data-driven reporting is needed. This agent specializes in content and website analytics within the ContentForge AI ecosystem.

Create, execute, and roll back versioned database schema migrations using tools like Alembic, Prisma Migrate, Flyway, and Knex. Use when the user requests database migration or provides relevant inputs for this workflow.

Clean and preprocess datasets by handling missing values, removing duplicates, correcting types, resolving outliers, and enforcing validation schemas. Use when the user requests data cleaning or provides relevant inputs for this workflow.

Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.

Guides compliance with country-specific data localization requirements across key jurisdictions including Russia (242-FZ), China (PIPL Art. 40, CAC measures), India (DPDP Act), Turkey, Vietnam, and Indonesia. Covers localization assessment, architecture design, and exemption procedures. Keywords: data localization, data residency, PIPL, 242-FZ, cross-border restrictions.

Validates agent outputs against schemas and quality criteria, scores confidence, detects hallucinations, monitors convergence, decides when to iterate, and synthesizes actionable feedback. Use when checking if a node's output is acceptable, scoring confidence, detecting fabricated content, deciding whether to re-execute, or generating improvement feedback. Activate on "validate output", "check quality", "confidence score", "hallucination check", "should we iterate", "improvement feedback". NOT for executing DAGs (use dag-runtime), planning DAGs (use dag-planner), or matching skills (use dag-skills-matcher).

Tests APIs for excessive data exposure where endpoints return more data than the client application needs, relying on the frontend to filter sensitive fields. Maps to OWASP API3:2023 Broken Object Property Level Authorization.

Adds a complete dark mode to any frontend project: auto-detects the theme system, generates a WCAG-compliant dark palette, adds a toggle with system detection and persistence, migrates hardcoded colors to theme tokens, and verifies contrast ratios.

Guides through client library installation and authentication setup for the Data Manager API, including ADC configuration and required scopes.

Query, inspect, and manage Redis databases from the command line using redis-cli, covering connection, data operations, scanning, and server diagnostics.

Read, propose, and vote in the Starchild DAO — a hold-to-govern commons for the $STARCHILD token on Base, with gasless EIP-712 signatures.

Automates Big Data Cloud operations through Composio's toolkit via Rube MCP, with dynamic tool discovery and connection management.

Query documented public database APIs with explicit endpoints, filters, pagination, and provenance for reproducible retrieval of scientific, regulatory, or financial facts.

Optimizes database queries and improves performance across PostgreSQL and MySQL systems by analyzing execution plans, designing index strategies, and tuning configurations.

Provisions and manages Redpanda Cloud Serverless clusters via the public Control Plane API, including authentication, cluster lifecycle, and data-plane operations.

Configure the Data Table screen component in Salesforce Screen Flows for row selection, including single/multi-select, column setup, and downstream consumption of selected rows.

Guide through a structured data analysis workflow: define the question, validate data quality, select the appropriate analytical method, and produce decision-ready findings with caveats.

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.

Data pipeline patterns — ETL/ELT, batch vs streaming, idempotency, orchestration. Use when designing a data pipeline, choosing between batch and streaming, implementing ingestion or transformation, setting up orchestration, or debugging pipeline failures.