650 件 ・ 関連度順
概要と使いどころ
Retrieve composite country risk intelligence — Country Instability Index (CII), travel advisory level, and active sanctions exposure — for one country by ISO code. Use when the user asks how risky or unstable a country is right now.
日本語の概要は準備中です。原文の説明を表示しています。
Discover live webcams in a map viewport and resolve thumbnails or player URLs. Use when the user asks for visual context near a location, route, border, port, or city.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve geolocated armed-conflict events (UCDP) with parties, fatality estimates, and violence type, filterable by country and date range. Use when the user asks about recent fighting, attacks, or conflict activity in a country or region.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve climate-relevant disaster events, anomalies, and climate news. Use when the user asks about floods, cyclones, droughts, heatwaves, wildfires, or climate disruption.
日本語の概要は準備中です。原文の説明を表示しています。
Read current stock research, technical backtests, saved analyses or saved backtests. Use for a named ticker or watchlist research history; preserve source dates, model limitations and risk factors.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve a country's average applied tariff over time — the MFN rate on all products, or the rate it applies on goods from one partner and/or in one product group — plus the optional US effective tariff rate. Use when the user asks how a country's tariffs have changed, or what it charges another country on average. For one product between two countries, use lookup-bilateral-tariff.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve active cyber-threat intelligence — malware IOCs, C2 infrastructure, and CISA known-exploited vulnerabilities — filterable by type, source, and severity. Use when the user asks about current cyber threats, IOCs, or actively exploited CVEs.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve seeded protest, riot, strike, and civil unrest events. Use when the user asks whether social unrest is occurring in a country or over a recent time window.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieve strategic UN Comtrade commodity flows with anomaly flags. Use when the user asks who trades a critical commodity, which flows changed sharply, or how trade exposure is shifting.
日本語の概要は準備中です。原文の説明を表示しています。
Compare CPI, interest rates and sovereign yield histories from seeded official reports. Use for inflation or rate trends; preserve country provenance, index base, frequency, yield measure and missing readings.
日本語の概要は準備中です。原文の説明を表示しています。
Add tree-sitter language support to codegraph end-to-end — wire the grammar + extractor, write tests, then benchmark extraction quality and retrieval value on 3 popular real-world repos. Use when the user runs /add-lang <language> or asks to add/support a new language (e.g. Lua, Elixir, Zig, OCaml) in codegraph.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, reconstruct, inspect, and route production 3D assets for OpenMontage worlds using Atlas Cloud, fal.ai, licensed catalogs, and Blender.
日本語の概要は準備中です。原文の説明を表示しています。
构建 GUI 自动化 Agent、让 Agent 像人一样看屏幕并用鼠标键盘操作桌面或浏览器软件时使用。 覆盖感知-思考-行动循环、动作空间（GUI/bash/文件编辑）、视觉定位 Grounding 三条路线 （结构化元素索引、Set-of-Mark、纯坐标预测）、分辨率坐标缩放、关键帧观察接口、世界模型与移动端生态壁垒。 触发词：Computer Use、GUI 自动化、截图、Grounding、browser-use、Set-of-Mark、视觉定位、坐标缩放、OSWorld。
日本語の概要は準備中です。原文の説明を表示しています。
Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
日本語の概要は準備中です。原文の説明を表示しています。
Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
日本語の概要は準備中です。原文の説明を表示しています。
Courses whose content rests on current, external or real-world facts that must be verified against live sources before being taught — recent events, market or policy data, product and version specifics, scientific developments, named cases. Researches the topic first, keeps a claim-to-source ledger, and grounds the outline and every page in what was actually fetched. Use when the request depends on up-to-date or externally checkable facts; not for timeless textbook topics that stand on established knowledge alone.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa
日本語の概要は準備中です。原文の説明を表示しています。
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
日本語の概要は準備中です。原文の説明を表示しています。
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
日本語の概要は準備中です。原文の説明を表示しています。
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Orchestrate the level team — level-designer, narrative-director, world-builder, art-director, systems-designer, qa-tester — for complete area creation.
日本語の概要は準備中です。原文の説明を表示しています。
Review a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.
日本語の概要は準備中です。原文の説明を表示しています。
Boot, reopen, update, or reset OpenWork PR previews. Discover script worlds; choose preview-desktop (app only), preview-den (Den only), preview-full (Den plus desktop), or preview-app-web locally, on a private Daytona URL, or on Freestyle for hands-on testing.
日本語の概要は準備中です。原文の説明を表示しています。