데이터 분석, 머신러닝, LLM 앱, 프롬프트 설계 (8.9천건)
Expert guide for maps and geospatial data (Mapbox GL JS, Leaflet, Google Maps, PostGIS) / Panduan ahli peta dan data geospasial (Mapbox GL JS, Leaflet, Google Maps, PostGIS).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for defending AI applications against prompt injection, jailbreak attacks, indirect injection via tool outputs, and data exfiltration through tool calls — input sanitization, output filtering, canary token detection, and layered defense architecture / Panduan ahli pertahanan aplikasi AI terhadap prompt injection, serangan jailbreak, injeksi tidak langsung via output tool, dan eksfiltrasi data melalui tool calls — sanitasi input, filtering output, deteksi canary token, dan arsitektur pertahanan berlapis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for AI FinOps, dynamic model routing (LiteLLM, Portkey, RouteLLM), cost optimization, budget enforcement, semantic caching, and latency-based fallback architectures / Panduan ahli untuk AI FinOps, routing model dinamis, optimasi biaya, penegakan anggaran, semantic caching, dan arsitektur fallback berbasis latensi.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for Knowledge Graphs, GraphRAG, Microsoft GraphRAG, Neo4j Text2Cypher, multi-hop relational retrieval, and hybrid vector-graph search / Panduan ahli Knowledge Graph, GraphRAG, dan pencarian relasional multi-hop.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for Prompt Engineering, Chain-of-Thought, few-shot prompting, structured output, prompt injection defense, and automated AI evaluations & regression benchmarking (Promptfoo, DeepEval) / Panduan ahli rekayasa prompt dan evaluasi otomatis AI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for integrating Large Language Models (LLMs), Model Context Protocol (MCP v1.x), hybrid reasoning models, RAG architecture, vector databases, and AI agents / Panduan ahli untuk integrasi LLM, Model Context Protocol (MCP), model hybrid reasoning, arsitektur RAG, vector database, dan agen AI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for data visualization, charts, and dashboards using D3.js, Recharts, Chart.js, Nivo, and Tremor / Panduan ahli visualisasi data, chart, dan dashboard menggunakan D3.js, Recharts, Chart.js, Nivo, dan Tremor.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for observability, analytics, telemetry, and data pipelines (OpenTelemetry, PostHog, Mixpanel) / Panduan ahli untuk observabilitas, telemetri, dan analitik.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for Data Pipelines, ETL/ELT, and Analytics Engineering. Covers dbt, Apache Airflow, Dagster, BigQuery, ClickHouse, and DuckDB / Panduan ahli untuk Data Pipelines, ETL/ELT. Mencakup dbt, Airflow, Dagster, BigQuery, ClickHouse, dan DuckDB.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or implementing Spring Data JPA on Spring Boot 4 — repository boundaries, projections, query patterns, custom repositories, CQRS read models, entity relationships, or persistence performance fixes. Not for generic SQL help, database admin work, or project-wide migration (see the springboot-migration skill).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build applications with Univer Office SDK, covering the Web SDK (browser Office editors, headless Sheets and Docs in Node), Server SDK (self-hosted OT collaboration, storage, auth, Office import/export), AI SDK (agent-operated Office CLIs, reviewable Worktrees), and Binding SDK (plain HTML pages bound to live Sheet data). Use when starting or designing any Univer-based app or choosing Univer packages, including when the user describes a spreadsheet, document, collaboration, or AI-office need without naming a Univer package.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read your TikTok niche and audience from real data. Scan a hashtag for top videos with plays, likes, and comments, see which hooks and sounds are working, pull a profile's videos (yours or a competitor's), and read the commenters on a video (TikTok hides likers, so commenters are the signal). Powered by Apify, no login. Triggers on "what is trending on TikTok", "analyze this hashtag", "competitor videos", "read my comments", "which sounds are working". Not for writing a script (use tt-hook-scripter).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks Codex to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Codex Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks Claude Code to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Claude Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Integrate Univer Sheets, Docs, or Slides into React, Vue 3, HTML, or Node.js projects. Use when embedding Univer, choosing preset or plugin mode, initializing instances, configuring themes/locales/workers, or manipulating workbooks, worksheets, ranges, formulas, permissions, and events through the Facade API.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when modifying domain/models/, domain/services/, adaptor/llm/, or any business logic involving insurance terms, coverages, or risk rules. Also use when adding new fields, endorsements, or coverage types.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design insurance data analytics. TRIGGERS - Use when user needs help with insurance-data-analytics related tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check the current status of the Strait of Hormuz — shipping transit data, oil price impact, stranded vessels, insurance risk levels, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz, Hormuz chokepoint, Persian Gulf shipping risk, oil transit disruption, war risk premium in the Gulf, Middle East shipping routes, tanker traffic through Hormuz, oil supply chain risk, or geopolitical risk affecting energy markets. Triggers include: "Hormuz status", "Strait of Hormuz", "is Hormuz open", "shipping through the Gulf", "oil chokepoint", "Persian Gulf tanker traffic", "war risk premium", "Hormuz crisis", "energy supply chain risk", "oil transit disruption", "Middle East shipping", any mention of Hormuz or Persian Gulf in context of oil, shipping, or geopolitical risk.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Retrieves and analyzes FHIR Coverage and Organization resources to produce a structured insurance summary with coordination of benefits analysis. Use when user asks to "check insurance", "coverage details", "verify coverage", "insurance summary", "what plan is the patient on", "primary vs secondary insurance", or "coverage status". Do NOT use for clinical data, demographics beyond insurance, or billing claim submission.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze healthcare claims data for real-world evidence (RWE) studies. Use when working with medical/pharmacy claims (837/835), calculating utilization metrics, building patient cohorts, or analyzing treatment patterns. Triggers include claims data, RWE, real-world evidence, 837, 835, medical claims, pharmacy claims, utilization, treatment patterns, HEDIS, healthcare analytics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides domain knowledge and guidance for the Flare Data Connector (FDC)—attestation types, request flow, Merkle proofs, verifier/DA Layer, and smart contract integration. Use when working with FDC, cross-chain attestations, EVMTransaction, Web2Json, Payment, AddressValidity, proof-of-reserves, weather insurance, or Flare Developer Hub FDC guides and starter repos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Validate data quality in CSV/Excel files for vehicle insurance platform. Use when checking required fields, validating data formats, detecting quality issues, or generating quality reports. Mentions "validate", "check fields", "data quality", "missing values", or "quality score".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use when defining data quality standards, implementing validation rules, managing field mappings, resolving data conflicts, or establishing data governance processes. Covers data cleaning standards, quality metrics, and mapping management.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Clean and standardize vehicle insurance CSV/Excel data. Use when handling missing values, fixing data formats, removing duplicates, or standardizing fields. Mentions "clean data", "handle nulls", "standardize", "duplicates", or "normalize".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.