Results for “data”

Apply world-class developer documentation principles (Stripe, Snowflake, Databricks, TiDB Cloud) to structure, write, review, or refactor technical documentation. Use this skill whenever the user mentions documentation, docs, sidebar or navigation, information architecture, restructuring a section, writing or editing a guide, reviewing docs, where content belongs, English doc prose, headings, code comments, link text, docs home pages, section landing pages, long-form guides mixing content types, cross-referencing, or making docs readable for AI agents and LLMs. Covers VeloDB Cloud docs work (Monitoring restructure, sidebar, EN/中文 alignment, writing style, landing pages, LLM-friendly docs) and any SaaS or database documentation task. Trigger broadly: if the conversation touches doc organization, page structure, doc quality, doc sentences, landing pages, or AI-readable docs, consult this skill rather than answering from intuition.

Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-use-scenario-builder.

Manage Azure MySQL Flexible Server deployments using the .NET SDK. Create servers, databases, firewall rules, configurations, backups, and configure high availability.

Manage Azure PostgreSQL Flexible Server deployments using the .NET SDK. Create servers, databases, firewall rules, configurations, backups, and high availability.

Curates clinical-specialty term lists, generates IPA-tagged synthetic audio via TTS, and produces NeMo-format manifests for ASR benchmark evaluation.

Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.

Interact with MCP servers from the command line to discover, inspect, and call tools for external systems like GitHub, filesystems, databases, and APIs.

Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors, using deps.dev API for dependency resolution and project health data.

Generates detailed, technology-agnostic implementation blueprints by analyzing project architecture, technology stacks, and data flow patterns.

Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration, documenting behavioral differences with severity, root cause, and remediation steps.

Access 31 pay-per-use tools for quantum security, agent safety, research, data, and earn on Base, paid via x402 protocol.

Automate Apollo.io lead generation: search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists using natural language commands.

Access Google Ads data through Google Analytics integration: run performance reports, list linked Ads accounts, and analyze campaign metrics using Rube MCP (Composio).

Design experiments and studies before data collection — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable.

Generate comprehensive, professional-grade market research reports (50+ pages) with LaTeX formatting, strategic frameworks, and data-driven visualizations.

Integrate new data sources into SIEM platforms by configuring collectors, parsers, normalization, and validation for security monitoring.

Centralize secrets management with HashiCorp Vault, including dynamic secret generation, transit encryption, PKI certificate management, and Kubernetes integration.

Build high-performance async Python APIs with FastAPI and Pydantic V2, including REST endpoints, authentication, async database operations, and WebSocket support.

Evaluate feature investments using revenue impact, cost structure, ROI, and strategic value to make data-driven build/don't-build decisions.

Analyze US stocks with fundamental and technical analysis, peer comparisons, and investment reports using real-time market data.

Transforms scattered competitor data into a decision-ready product strategy report with positioning maps, feature matrices, pricing analysis, and opportunity windows.

Manages SurrealDB schemas as desired-state .surql files, with sync for disposable databases and reviewed rollouts for shared or production environments, plus seeding and declarative testing.

Trains language models with Direct Preference Optimization using preference pairs, covering DPOTrainer setup, dataset preparation, and beta tuning for stable preference learning without explicit reward models.

Renders table cells with a red-to-green background gradient based on numeric values (0-100) using jQuery and chroma.js, skipping non-numeric content.

Manage Redpanda authentication and authorization from the CLI using the `rpk security` command group, covering SASL/SCRAM users, Kafka ACLs, RBAC roles, and Cloud secrets.

Selects and reviews Queueable, Batch, Future, and Schedulable Apex for callouts, large data processing, retries, and background work, with decision guidance and validation checklists.

Fetches real-time NYC MTA transit data: subway arrivals, bus predictions, service alerts, and route information for the New York City subway and bus system.

Manages legal practice data in Clio Manage via the Maton API gateway, covering matters, contacts, activities, tasks, documents, calendar entries, time entries, and billing.

Guides users through visa applications by identifying visa types, building document checklists, tracking timelines, and preparing for interviews, with local-only data storage and no application submission.

Parse FCS (Flow Cytometry Standard) files v2.0-3.1, extracting events as NumPy arrays, metadata, and channel information, with support for creating and modifying FCS files.

Pythonic wrapper around RDKit for cheminformatics, simplifying SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing while returning native rdkit.Chem.Mol objects.

Provides living project knowledge for the OpenFoodJournal iOS app, including architecture, data models, service contracts, and conventions, to be consulted before any work on the project.

Production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and serverless connection handling.

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

Audits scraped affiliation data against logo strip and social proof best practices, evaluating logo quality, grouping, copy framing, prominence ordering, and strip readiness.

Computes HEIM diversity and equity metrics from VCF or ancestry data, generating heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.