Loading...
Loading...
Found 10,554 Skills
Build and refine the project's domain model. Suitable for users who want to clarify domain terms or ubiquitous language, record architectural decisions, or when other skills need to maintain the domain model.
Review the accessibility, version, identifiers, restrictions, and statements of research data, code, and materials, and do not equate public availability with reusability. Use when the user asks for "check data availability", "write data availability statement", "check whether data, code, and materials are reusable", or requests the rw-research-data workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Calculates the final risk score based on empirical evidence and architectural impact. Use when findings have been fully processed by previous stages and you need to append final risk scores to the finding files. Don't use for discovering new vulnerabilities or writing patches.
Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).
Observability overview and glue for .NET 10: how the pieces fit together, plus the cross-cutting parts owned here — ASP.NET health check endpoints (/health), correlation IDs, and log-level strategy. For deep Serilog setup load `serilog`; for traces and metrics load `opentelemetry`. Load this skill when setting up observability from scratch, wiring health check endpoints or correlation IDs, or when the user says "logging", "observability", "monitoring setup", "liveness", "readiness", or "ILogger".
Use when the user wants to create opengrep/semgrep SAST rules, detect vulnerabilities in code, generate security scanning rules from CVEs or vulnerability descriptions, or asks about writing pattern-matching or taint-analysis rules for static analysis.
Design or implement responsive audio feedback for a Three.js or web game. Use for action sounds, combat layers, music states, spatial audio, mix priorities, mute controls, accessibility, mobile audio unlock, and audio performance.
Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. Use this whenever someone raises a Qdrant problem or question — slow or degraded search, high or growing memory / OOM crashes, optimizer stuck or slow, indexing slowness, scaling and sharding decisions (node count, QPS, latency, multitenancy, vertical vs horizontal), poor or irrelevant search results, hybrid search and reranking, embedding-model migration, version upgrades and compatibility, monitoring and observability (Prometheus, Grafana, health checks, /metrics, /telemetry), deployment choices (local, Docker, self-hosted, Qdrant Cloud, embedded), or client-SDK questions (Python, TypeScript, Rust, Go, .NET, Java). Trigger especially when the context is clearly a Qdrant cluster, collection, or vector-search deployment. Always prefer this skill over answering from memory: it pulls current, authoritative guidance and only the relevant context.
Query and analyze a Dynatrace tenant's ACTUAL billing and usage data with DQL against dt.system.events — DPS consumption breakdown, cost-normalized spend ranking, included volume deduction, chargeback/showback, cost drivers, spending trends, cost investigation, metrics ingest optimization, query cost attribution, workflow total cost, and entity-level cost drill-down (RUM, hosts, synthetic, K8s). Also directs licensing/entitlement questions to the right resource (not available via DQL). USE ONLY to query/analyze the tenant's actual consumption. Do NOT use for conceptual 'explain' questions about how DPS billing/pricing works or what units/weights/the rate card mean — those belong to Dynatrace documentation. Also do NOT use for making a DQL query itself faster or cheaper to run (query optimization, reducing scanned data/consumption per run, filter-early best practices) — that belongs to dt-dql-essentials. This skill only MEASURES recorded consumption; it does not tune queries.
Read-only automated QA sweep of a deployed stardust site on AEM Edge Delivery Services — validates routing, content fidelity vs the source capture, template conformance, rendered integrity (geometry, JS errors, broken images), visual regression vs baselines, metadata/SEO/JSON-LD, link integrity, accessibility (axe), and performance budgets, then emits a findings report with an allowlist for documented non-defects. Finds issues; never fixes them. Use when the user asks to "QA the site", "validate the migration", "check the live site for issues", "run a QA sweep/regression check", or invokes /stardust:qa <live-url>.
Full three-perspective audit of an existing website from one URL — design (tensions + concrete improvement opportunities), SEO/technical, and LLM/AI-search visibility — plus Core Web Vitals, synthesized into a scored, evidence-bound report. Use when the user asks to "audit this site", "site audit", "design audit", "SEO audit", "why is my site underperforming", "LLM visibility", "how does my site look to AI", or invokes /stardust:audit <url>.
OpenTelemetry browser/RUM mechanics for SPAs and MPAs. Use for “browser OTel,” “frontend observability,” “Web Vitals,” `sdk-trace-web`, `WebTracerProvider`, `browser-sdk`, browser instrumentations, page-load or route tracing, sessions, clicks, console capture, JavaScript errors, or frontend-to-backend trace correlation. Browser telemetry is privacy- and volume-sensitive, and experimental packages move quickly. Not for Node.js service instrumentation or Collector-only configuration.