3,584 件 ・ 関連度順
概要と使いどころ
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visua...
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。
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
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。
Build real-time messaging applications using Azure Web PubSub SDKs for JavaScript (@azure/web-pubsub, @azure/web-pubsub-client). Use when implementing WebSocket-based real-time features, pub/sub me...
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。
Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.
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。
Build real-time web applications with Azure Web PubSub SDK for Java. Use when implementing WebSocket-based messaging, live updates, chat applications, or server-to-client push notifications.
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。
Azure Identity SDK for Rust authentication. Use for DeveloperToolsCredential, ManagedIdentityCredential, ClientSecretCredential, and token-based authentication.
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。
Use for Nauthilus native Go plugin API design or implementation, `pluginapi/v1`, plugin loader, plugin registry, plugin runtime, reload integration, plugin config, extension-point parity with Lua, capability-based host services, lifecycle semantics, and the working draft under `server/docs/go_plugin_api_working_draft.md`.
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。
Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".
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。
Use when working with Dagger — dagger CI/CD pipeline management. Covers pipeline-as-code configuration, module management, function execution, caching layers, container builds, and pipeline debugging. Use when managing Dagger pipelines, debugging function execution, inspecting modules, or optimizing container-based CI workflows.
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。
Use when working with Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.
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。
Use when working with Coolify — coolify self-hosted PaaS management covering application inventory, service status, deployment history, server resource utilization, database instances, S3 storage configurations, webhook settings, and team management. Use for managing Coolify-based infrastructure.
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。
Use when working with Config Cat — configCat feature flag management, remote configuration, A/B testing, targeting rules, and percentage-based rollouts. Covers flag listing, targeting rule management, environment overrides, audit log review, and SDK integration status. Use when managing feature flags, reviewing targeting rules, analyzing flag usage, or auditing configuration changes in ConfigCat.
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。
Use when working with Bigpanda — bigPanda AIOps platform management covering event correlation, root cause analysis, incident management, alert enrichment, topology-based correlation, environment management, and analytics. Use when configuring BigPanda correlation patterns, investigating correlated incidents, tuning noise reduction, or analyzing alert topology and root cause indicators.
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。
Use when working with Cloudflare Dns Deep — advanced Cloudflare DNS management covering zone records, DNSSEC configuration, DNS analytics, load balancing pools, health checks, and DNS firewall. Use for deep DNS record management, DNSSEC troubleshooting, DNS traffic analytics, configuring DNS-based load balancing, or auditing DNS security settings.
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。
Use when working with Chronosphere — chronosphere cloud-native observability platform for metrics, tracing, and alerting at scale. Covers PromQL-based metric queries, trace analysis, monitor management, dashboards, and control plane configuration. Use when querying Chronosphere metrics, investigating service performance, managing alerting rules, or analyzing distributed traces.
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。
Use when working with Cilium — cilium eBPF-based networking and security management for Kubernetes. Covers network policy enforcement, eBPF map inspection, Hubble flow visibility, cluster mesh, endpoint health, service load balancing, and identity management. Use when managing Cilium network policies, debugging connectivity, monitoring traffic flows with Hubble, or configuring cluster mesh.
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。
Use when working with Chamber — chamber secrets management using AWS Systems Manager Parameter Store, service-scoped secret organization, environment variable export, and parameter auditing. Covers reading and writing secrets by service, comparing environments, listing services, version tracking, and IAM permission validation. Use when managing AWS SSM-based secrets with Chamber, auditing parameter changes, or comparing configs across services.
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。
Use when working with Apigee — apigee API platform management - API proxy deployment, environment configuration, analytics and traffic analysis, developer and app management. Use when managing Apigee-based API infrastructure, deploying proxies, analyzing API traffic patterns, or managing developer portal resources.
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。
Use when working with Aws Waf — aWS WAF web ACL management, rule analysis, traffic metrics, and IP set management. Covers WAF rule group inspection, rate-based rule configuration, managed rule group analysis, logging status, and blocked request investigation.
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。
Use when working with Gcp Cloud Logging — google Cloud Logging log analysis, log-based metrics, sink management, exclusion filters, and log routing configuration via gcloud CLI.
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。
Use when working with Aws Xray — aWS X-Ray trace analysis, service map generation, fault and error analysis, sampling rule management, and latency investigation. Covers trace summaries, segment analysis, annotation-based filtering, and group configuration.
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。
In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for t
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。
Artificial intelligence-based personalised learning in education: a ... — 18. Nov. 2025 · Thoroughly
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。
AiZynthFinder retrosynthetic route planning (CASP) from AstraZeneca Molecular AI. Monte Carlo tree search guided by a template-based neural expansion policy recursively disconnects a target SMILES until precursors are found in a purchasable stock. Covers config.yml (v4 format), aizynthcli batch screening, the AiZynthFinder/AiZynthExpander Python API, one-step disconnections, custom stocks via smiles2stock, scorers, Retro*/breadth-first/DFPN search alternatives, and reading output.json.gz / trees.json. Use for synthesis route planning, synthesizability screening, and building-block/precursor search. For reaction barriers use neb-irc-activation-energy; for 2D reaction scheme drawing use rdkit-chemdraw-cdxml.
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。