'data structures' 검색 결과

Use this skill when personal data goes, or will go, to a recipient outside the EEA, or someone asks "do we need a TIA", "transfer impact assessment", "SCCs for this vendor", "can we use this US vendor under GDPR", "international data transfer assessment", "Schrems II assessment" or "our customer asked for our transfer assessments". Confirms whether there is a transfer at all, maps the full chain including remote access and sub-processors, identifies the transfer mechanism, structures the destination law assessment from sourced material, proposes supplementary measures and drafts a documented assessment with a review trigger.

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Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

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Access AlphaFold DB's 200M+ predicted structures by UniProt ID. Download PDB/mmCIF, analyze pLDDT/PAE, bulk-fetch proteomes via Google Cloud. For experimental structures use PDB; for prediction use ColabFold or ESMFold.

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Organize, categorize, rename, and manage files systematically using automated rules, naming conventions, and folder structures for efficient file management. Use when organizing uploaded files, implementing file naming conventions, categorizing files by type or metadata, creating folder structures, cleaning up messy directories, automating file movements, implementing media libraries, or building file management systems.

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Turn specifications and algorithm outlines into a system architecture. Define components, interfaces, data structures, and deployment plans, then document technology choices, security measures, failure handling, and plans for supporting increased usage.

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• Turn specifications into a system design
• Define component responsibilities and API interfaces
• Plan for increased traffic and component failures

Create Markdown research notes, reports, and guides with Mermaid diagrams, which describe relationships as editable text. Choose suitable diagrams for workflows, timelines, or schemas, add accessible descriptions, and check rendering in the intended destination.

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• Writing research notes with workflow diagrams
• Diagramming data structures and relationships
• Creating project timelines

Screen compound libraries for drug discovery using drug-likeness guidelines, structural alerts that flag patterns for review, and molecular complexity measures. Combine criteria to shortlist candidates and retain filtering results with reasons for further assessment.

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• Screen compound libraries with drug-likeness rules
• Flag PAINS and other structures for review
• Combine property, structure, and complexity filters

Automate Airtable record searches, creation, updates, and deletion through Rube MCP. Inspect table structures before making changes, manage fields and table metadata, and handle larger operations using pagination and batches within the documented limits.

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• Find records matching status or due-date conditions
• Add or update records in batches
• Create fields and revise their names or descriptions

Explore the context-matic MCP server through an interactive tour. Discover available APIs, choose one, and review authentication, data structures, and example calls in your project's programming language, with guidance matched to the SDK version.

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• Learning what the context-matic server can do
• Browsing APIs available for a project's language
• Exploring an API's authentication and quickstart

Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.

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• Detecting harmonic patterns in price data
• Identifying potential reversal zones
• Generating buy, sell, and stand-aside signals

Analyze Go malware binaries in Ghidra by extracting build metadata, function names, dependencies, and relevant strings. Use GoResolver to help recover obscured names and organize functions so analysts can focus their reverse engineering work.

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• Investigating the structure of a Go malware sample
• Recovering function names from stripped or obfuscated binaries
• Identifying embedded Go modules and dependencies

Design REST and GraphQL APIs by clarifying who will use them and how. Define data structures, errors, authentication, pagination, and versioning, then review examples to make the interface consistent and easier to use.

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• Designing a new REST or GraphQL API
• Reviewing API specifications before implementation
• Defining shared API design standards for a team

Turn system structures, processes, and concepts into dark-themed diagrams. Create architecture diagrams, flowcharts, timelines, and other visual explanations as scalable SVG files, with PNG versions for use as images.

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• Explain system components and their connections
• Map process steps and decision branches
• Show interactions in chronological order

Review BigQuery capacity, table layouts, storage retention, and SQL to improve cost efficiency. Compare billing options, plan partitioned tables, and evaluate search indexes, stored aggregation results, and BI Engine for suitable workloads.

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• Compare On-Demand pricing with Editions
• Review storage billing models and retention periods
• Design table partitioning and clustering

Design consistent API specifications with OpenAPI 3.0 and 3.1. Define requests, responses, authentication, and reusable data structures, then guide specification checks, documentation, and generation of client libraries or starter server code.

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• Define an API contract before implementation
• Standardize authentication and error responses
• Check API specifications in CI

Turn requirements into Mermaid diagrams, including process flows, system structures, and timelines. Save editable diagram code, a Markdown version, and a PNG preview, then check syntax, arrow directions, labels, and readability.

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• Mapping a business process
• Illustrating API message sequences
• Diagramming database relationships

Writes, reviews, and debugs property-based tests, which generate inputs to check general rules. Helps test conversions, parsers, normalization, and state invariants, assess whether existing assertions are meaningful, and distinguish faulty rules from implementation bugs.

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• Testing encode/decode round trips across generated inputs
• Checking normalization and sorting properties
• Reviewing whether existing property tests assert meaningful rules

Build and maintain business data in iPollo Onto using connected tables and documents. The skill guides agents through creating structures, saving research in batches, updating existing records, and examining relationships with supporting evidence.

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• Build a CRM with linked customers, contacts, and opportunities
• Save prospect research progressively
• Prioritize customers using related business records

Explore an early software idea through an interview, clarify the problem, and decide whether to proceed. Produce a design document covering decisions, flows, data structures, and interface agreements so others can plan the work.

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• Clarifying the problem behind a proposed feature
• Deciding whether to build, postpone, or reduce scope
• Exploring alternatives before committing to development

Turn mathematical modeling reports into DrawIO diagrams showing solution steps, model structures, and data processing flows. Produce editable source files, export PDFs for papers when DrawIO is available, and record diagram choices and export results.

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• Illustrate the overall approach in a modeling paper
• Draw solution flows for individual subproblems
• Show model structure and variable relationships

Create the starting files for a new agent skill, including SKILL.md, metadata, and optional folders. It guides descriptions that help agents select the skill, actionable workflows, ownership entries, and validation checks.

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• Creating a new agent skill from scratch
• Writing descriptions that help agents select the right skill
• Organizing SKILL.md and supporting files

Restructure existing web pages so AI assistants can extract and cite answers accurately. Get rewritten sections, comparison tables, FAQs, and JSON-LD structured data, a machine-readable description of page content, while preserving readability.

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• Improving high-traffic pages for AI citation
• Preparing comparison, pricing, or best-of content
• Revising pages that rank on Google but lack AI citations

Create an interactive HTML implementation plan that connects proposed behavior to mockups, code, and data structures. Readers can explore details, choose options, edit schemas, and return comments before development starts.

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• Reviewing a feature plan before development
• Collecting decisions on implementation options
• Connecting proposed behavior to code locations

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

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