其他
3,534 个结果
- Elasticsearch Cluster HealthElastic官方Diagnose a non-green Elasticsearch cluster and surface the single most likely cause with remediation. Use when an operator reports yellow or red status, unassigned shards, allocation failures, or wants read-only triage before deeper investigation. Teaches replica-vs-primary impact, allocation decider classification, and data-loss awareness.
- Elasticsearch OnboardingElastic官方Help developers new to Elasticsearch get from zero to a working search experience. Guide them through understanding their intent, mapping their data, and building a search experience with best practices baked in.
- Elasticsearch Query OptimizationElastic官方Diagnose slow Elasticsearch Query DSL searches and propose measured fixes. Use when a search is slow, profile output shows an expensive clause, exact-match filters sit in scoring context, or leading wildcards dominate latency. Ground every recommendation in search profiling — move non-scoring clauses to filter context, eliminate leading wildcards, and re-profile to confirm improvement.
- Kibana Alerting RulesElastic官方Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.
- Observability Service HealthElastic官方Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.
- Add NodeMicrosoft官方Add or modify a node in an existing Copilot Studio topic. Use when the user asks to add a question, message, condition, variable, or other node to a topic. Do NOT use this for generative answers or knowledge search — use /add-generative-answers instead.
- Edit TriggersMicrosoft官方Modify topic triggers — trigger phrases and model description. Use when the user asks to add, remove, or change trigger phrases, or edit a topic's model description.
- List KindsMicrosoft官方List all available kind discriminator values from the Copilot Studio YAML schema. Use when the user asks what kinds/types are available.
- Lookup SchemaMicrosoft官方Look up Copilot Studio YAML schema definitions. Use when the user asks about schema structure, element properties, or how to use a specific YAML kind.
- Windbg Kernel Irp Lifecycle TriageMicrosoft官方Use when kernel evidence shows stalled I/O, a power IRP, or completion/cancellation misuse; inspect request state and driver ownership. Not for interpreting an empty IRP search in a limited dump as proof of healthy I/O.
- Windbg Kernel Lock Deadlock TriageMicrosoft官方Use when kernel threads block on driver synchronization or Verifier reports a lock-order violation; build an owner/waiter graph. Not for treating every watchdog stop as a deadlock or listing every lock type with !locks.
- Windbg User Exception TriageMicrosoft官方Use when a native C/C++ app, service, or user-mode driver host (including UMDF) crashes with a structured exception in a dump or WinDbg session, including native faults inside managed processes. Not for managed .NET exceptions, WinUI/XAML app errors, or kernel bugchecks.
- Windbg User Heap Corruption InvestigationMicrosoft官方Use when an app, service, or user-mode driver host heap fails or Application Verifier detects corruption; inspect history and bounds. Not for kernel pool corruption or ordinary OOM.
- Windbg User Virtual Memory ExhaustionMicrosoft官方Use when a native app, service, or user-mode driver host allocation fails; distinguish VA exhaustion, fragmentation, and commit pressure. Not for managed .NET heap growth, proving a leak from one snapshot, or corruption.
- Windbg User Wait Chain AnalysisMicrosoft官方Use when an app, service, or user-mode driver host is unresponsive on locks, COM/RPC, I/O, or another process; follow the blocker chain. Not for a crash solely from an exception stack.
- Commerce App WebhooksAdobe官方Add or modify webhook interceptors in an Adobe Commerce app. Use when the user wants to intercept Commerce operations to validate input, append data, or modify behavior — before or after execution. Requires a base app initialized with commerce-app-init.
- Page CacheAdobe官方Cache original web pages locally with `web cache serve`, a caching reverse proxy for iterative migration work. Navigate pages through it (manually or with a browser) and every resource is saved to disk; restart it offline to replay the full site with no network, bot detection or rate limits.
- Site ScanAdobe官方Discover and collect all URLs of a website with the web CLI: parses robots.txt and sitemaps (XML, sitemap indexes, gzip) or follows links, with include/exclude glob patterns, a URL limit and language detection from the URL path. Triggers on: site urls, list pages, discover urls, site inventory, url collection, find all pages, site-scan, website urls, enumerate pages, map site, how many pages.
- Tuning Oak Query IndexesAdobe官方Use when a Jackrabbit Oak/AEM JCR query is slow, logs a traversal warning, or you're adding/changing a query and need to check or update its property/Lucene index definition so the query is answered by the index instead of in-memory filtering or sorting.
- Sentry Feature SetupSentry官方Configure specific Sentry features beyond basic SDK setup. Use when asked to set up OpenTelemetry pipelines, create alerts and notifications, or set up Sentry Snapshots.
- Sentry Instrument LoggingSentry官方Instruments structured Sentry logs in a new or existing application.
- Markdown Token OptimizerMicrosoft官方Analyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size
- Mongodb Qe Size EstimationMongoDB官方Estimates the storage and memory impact of encrypting fields in collections with Queryable Encryption (QE) enabled. Do NOT use for collections that use Client-Side Field Level Encryption (CSFLE) instead of QE.
- BriefingGoogle官方Formats the standalone daily briefing — curated picks with why-it-matters lines, community buzz, the trend read across runs, and the taste note that keeps the learning visible.