Results for “data”

Provides production-grade TypeScript guidance for React and Next.js, covering type narrowing, component props, generics, runtime validation, data fetching, state management, performance, accessibility, and code review.

Provides Quarkus 3.x architecture patterns for building cloud-native, event-driven services with Apache Camel, covering REST APIs, CDI services, data access with Panache, async processing, and logging.

Enables zero-shot image classification, image-text matching, and cross-modal retrieval using OpenAI's CLIP model, with code for semantic search, content moderation, and vector database integration.

Simulates a NeurIPS/SC/ICSE-style peer review with five reviewer personas (HPC, ML, Stats, Reproducibility, Devil's Advocate) that verify every claim against actual result data before submission.

Explains MariaDB-specific view syntax and behavior, including CREATE OR REPLACE VIEW, ALGORITHM options, SQL SECURITY, updatability rules, and WITH CHECK OPTION, for writing or reviewing MariaDB view statements.

Documents MariaDB-specific CREATE PROCEDURE syntax, including OR REPLACE/IF NOT EXISTS exclusivity, DEFINER and SQL SECURITY behavior, parameter modes, DEFAULT values, advisory characteristics, privilege requirements, and the client-side DELIMITER convention.

Analyzes federal contract competitors, incumbents, and obligation trends using live USAspending.gov data via the usaspending MCP, supporting black-hat competitor research and contract-number-first obligation analysis.

Cryptocurrency market data and price alert monitoring tool based on CCXT. Supports multiple exchanges, real-time price tracking, and configurable price/volatility alerts. Use when the user needs to monitor crypto prices or set up trading alerts. Default exchange is Binance.

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.

Turns data/commitments.jsonl (flat list) into a who-owes-what-to-whom graph. Surfaces overdue chains and cross-PA dependencies that the flat list hides. Triggers: "what's overdue", "what did X promise", "commitment graph", "who's blocking whom".

Use when choosing or configuring MCP servers for research work, when a literature, reference manager, or scholarly search server needs a trust check before installation, or when an existing research tool stack needs a data flow and permission audit.

Use when selecting a statistical test with AI consultation, when assumptions need checking against the actual data, when an analysis plan or decision log must be written before running anything, or when results need APA-style reporting with effect sizes.

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.

Pre-push hygiene check for GitHub repositories. Scans for PII, secrets, and sensitive data before pushing. Audits commit messages, enforces repo-specific blocklists, and rate-limits pushes to avoid GitHub abuse detection. Use before any git push, especially to public repos.

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.

Atomic-design guidance for Templates — page-level wireframes that arrange organisms into layout slots (hero/main/sidebar/footer) without fetching data. Use when authoring components under ui/templates, defining reusable page skeletons, or keeping layout decisions out of pages and organisms.

Master the AI tools that transform financial operations. From bookkeeping to forecasting, manage money smarter and make data-driven financial decisions. Use when "finance, accounting, budgeting, forecasting, FP&A, bookkeeping, expense management, finance, accounting, budgeting, forecasting, fpa, expenses" mentioned.

Foundational skills for Zephyr RTOS development. Covers essential Embedded C patterns (BIT, CONTAINER_OF), real-time concurrency primitives (mutexes, semaphores, spinlocks), hardware literacy (datasheet-to-DTS mapping), and defensive programming. Trigger when writing core application logic, drivers, or troubleshooting foundational behavior.

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

Personal finance review skill for individuals who want to understand their spending, budgets, and financial patterns. Use whenever the user wants to analyze expenses, categorize spending, review a budget, build a budget from scratch, analyze debt, audit subscriptions, understand their savings rate, or track progress toward a financial goal. Triggers: "help me review my spending", "here are my expenses", "can you look at my budget", "help me build a budget", "I want to understand where my money goes", "categorize these transactions", "help me pay off my debt", "audit my subscriptions", "am I saving enough", "am I on track for my goal", "analyze my finances", or any time the user shares financial data (even raw or messy) and wants insight. Does NOT provide investment, tax, or financial planning advice — helps users understand their own data. Trigger proactively when the user pastes transactions, expenses, or any money-related data, even without an explicit request for analysis.

Searches X (Twitter) for tweets matching an advanced query and returns structured data including text, author profile, engagement metrics, media, hashtags, mentions, and pagination cursors.

Develops comprehensive threat actor profiles for APT groups, criminal organizations, and hacktivist collectives by aggregating TTP documentation, historical campaign data, tooling fingerprints, and attribution indicators from multiple intelligence sources.

Extract stored credentials from compromised endpoints using the LaZagne post-exploitation tool to recover passwords from browsers, databases, system vaults, and applications during authorized red team operations.

Intercepts and analyzes HTTP/HTTPS traffic from mobile applications using Burp Suite proxy to identify insecure API communications, authentication flaws, data leakage, and server-side vulnerabilities.

Enforce identity verification, device compliance, and data protection for cloud-hosted services using CASB, SSPM, conditional access policies, OAuth app governance, and session controls.

Monitor paste sites like Pastebin and GitHub Gists for leaked credentials, API keys, and sensitive data using automated scraping and keyword matching to detect breaches early.

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.

Correlates OT asset inventory with ICS-CERT advisories and CVE data to identify, prioritize, and track vulnerabilities in operational technology environments using Claroty xDome.

Analyzes the volatility smile and skew for a single options expiration, providing implied volatility curves, skew metrics, and shape classification to reveal market pricing of tail risk and directional fear.

Generates a single-file horizontal-scroll web PPT with WebGL backgrounds, section covers, data hero cards, and image grids in two visual styles: 'e-magazine × e-ink' or 'Swiss International Style'.

Extracts search performance data via the Google Search Console API v1 /searchAnalytics/query endpoint, analyzing CTR, impressions, and position trends with dimension filtering by page, query, device, and country.

Generates hand-drawn-style Excalidraw architecture diagrams from a codebase, including C4 context and container views, sequence diagrams for key flows, ER diagrams from database schemas, and module dependency graphs.

Performs a full-stack security posture assessment with 0-100 risk scoring, scanning dependencies, code patterns, configuration, and data handling, then produces a prioritized report and routes to specialized skills.

Analyze RNA velocity in single-cell RNA-seq data with scVelo, estimating cell state transitions from unspliced/spliced mRNA dynamics, inferring trajectory directions, computing latent time, and identifying driver genes.