'data structures' 검색 결과

Use when working with Redis - in-memory database, caching, pub/sub, sessions, rate limiting, RESP3, asyncio, Redis Stack

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Baserow — baserow open-source database platform management covering workspace organization, database and table inventory, field configuration analysis, view management, webhook monitoring, and user access auditing. Use when reviewing database structures, investigating API integration issues, monitoring webhook deliveries, or auditing workspace permissions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Biological knowledge: query curated assertions and reference databases for genes, variants, pathways, regulation, cell types, reference atlases, perturbation-derived relationships, phenotypes, therapeutic targets, drugs, interactions, annotations, signatures, compounds, and predicted structures. Use for identifiers, marker sets, gene sets, associations, ontologies, database facts, and cross-database coverage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Compares the version-pinned A2A, MCP, and JSON-RPC role boundaries covered by this bundle; OpenAI and LangChain-specific APIs require their own current sources. Teaches when to use rigid schemas versus free-form content with validation, typed versus untyped boundaries, and streaming versus batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Complete guide for Testcontainers NoSQL integration testing. Use when containerized integration testing for MongoDB or Redis. Covers MongoDB document operations, Redis five data structures, Collection Fixture pattern. Includes BSON serialization, index performance testing, data isolation strategy, and container lifecycle management. Keywords: testcontainers mongodb, testcontainers redis, mongodb integration test, redis integration test, nosql testing, MongoDbContainer, RedisContainer, IMongoDatabase, IConnectionMultiplexer, BSON serialization, BsonDocument, document model testing, cache testing, Collection Fixture

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Redis를 이용한 캐시, 요청 횟수 제한, 여러 작업의 동시 실행 제어와 메시지 전달을 설계하고 키 만료 시간 및 연결 관리도 검토합니다.

• API 응답에 캐시를 추가합니다
• 사용자별 요청 횟수를 제한합니다
• 워커의 동일 작업 동시 실행을 방지합니다

Turn data into chart images by selecting a suitable format from 26 options. Visualize trends, comparisons, distributions, flows, or relationships, then receive the image URL and the complete settings used to generate it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualize changes over time
• Compare categories and proportions
• Show distributions and correlations

Draft Appwrite blog posts around concrete developer problems and search intent. Structure the article, prepare titles, summaries, FAQs, and article metadata, check product claims against local documentation, and generate a cover image using Appwrite's cover API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a practical Appwrite tutorial
• Outline a comparison article around search intent
• Prepare titles, summaries, FAQs, and article metadata

Build and troubleshoot TorchDrug 0.2.1 workflows for molecular property prediction, molecule generation, protein modeling, and knowledge graph reasoning. Connect datasets, models, training tasks, and evaluation while checking version compatibility and common implementation errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Training and evaluating molecular property prediction models
• Building molecule generation workflows
• Learning representations of protein sequences and structures

Build draft structures and aggregate tables for clinical case, trial, diagnostic, and safety reports from verified synthetic, de-identified, or aggregate data. Local checks flag structural and consistency issues; qualified professional review remains required.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a structured case-report draft
• Check trial-report sections for missing items
• Format aggregate adverse-event tables

Design and review REST and GraphQL APIs with consistent naming, data structures, error responses, pagination for large result sets, and versioning strategies. Helps teams define shared standards and plan changes that existing clients can adopt gradually.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new REST or GraphQL API
• Reviewing API specifications before implementation
• Establishing shared API design standards

Review APIs, data structures, and workflows for mistakes that are easy to make silently. Proposes types, database constraints, and enforced checks to prevent misuse, ranks findings by impact, and explains what each fix can and cannot prevent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design APIs that prevent invalid inputs and call sequences
• Audit existing code for silent misuse hazards
• Address recurring bugs by changing the design that permits them

Analyze candlestick data using Chan theory, a method based on price structure. Detect turning points, movement segments, and overlapping price zones, then generate buy and sell signals and compare patterns across timeframes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detecting turning points and segments in candlestick data
• Generating Chan theory buy and sell signals
• Comparing price structures across timeframes

Analyze price swings to detect Elliott Wave structures: five waves following a trend and three waves correcting it. Check wave rules and Fibonacci ratios, then generate signals for completed advances or pullbacks using a pandas implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detecting five-wave advances in price data
• Identifying completed ABC corrections
• Adjusting wave-detection parameters

Analyze malware communication with command servers to understand periodic check-ins, message formats, encoded data, and backup destinations. Produces a structured analysis report and network detection rules based on captured traffic and malware code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating malware communication in captured traffic
• Measuring periodic check-in intervals and timing variation
• Mapping command servers and backup destinations

Develop and review FastGPT APIs with consistent input and output checks, TypeScript types, and OpenAPI documentation. It guides the use of Zod schemas, definitions that describe and validate data, alongside permission checks and reusable structures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a new FastGPT API route
• Changing API inputs or responses
• Reviewing API validation and documentation

Compare pricing models, analyze survey responses to estimate an acceptable price range, and design three product tiers. The skill explains trade-offs and flags weak tier structures, giving teams concrete inputs for a human pricing decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an initial pricing model for a SaaS, API, or AI tool
• Revisiting pricing using accumulated market data
• Estimating acceptable prices from customer surveys

Create and improve prompts for agents, workflows, and AI evaluations. Reusable Handlebars templates, which insert data into a fixed structure, help generate consistent instructions from YAML or JSON inputs for use in other tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving prompts for recurring tasks
• Generating agent briefs from templates
• Creating AI evaluation and scoring prompts

Plan changes to Convex data structures while an app keeps running. The skill guides staged deployments, updates to existing records, and verification for required fields, type changes, and table restructuring using @convex-dev/migrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding required fields to existing records
• Changing field types or renaming fields
• Splitting or merging existing tables

Build OpenBot administration and settings screens with shared layout components. Provides consistent page widths, row structures, control sizes, and dialog layouts, including patterns for switches, editable summaries, and read-only values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an administration or settings page
• Adding a settings row to an existing screen
• Choosing between a switch and an editing dialog

Turn data into template-based HTML charts, HTML or PDF presentations, and full-page HTML reports. Selects chart structures to match the data and keeps colors, labels, and visual proportions consistent across each delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating charts for articles
• Visualizing business metrics for weekly updates
• Preparing HTML or PDF presentations