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Agent Skills für Logging, Metriken, Alerts und Observability durchsuchen

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12.415 Ergebnisse

findmy
243.2k
NousResearchNousResearch/hermes-agent
Track Apple devices/AirTags via FindMy.app on macOS.

Sprache des Skill-Inhalts: Englisch

computer-use
243.2k
NousResearchNousResearch/hermes-agent
Drive the desktop background-first; escalate on signal.

Sprache des Skill-Inhalts: Englisch

n8n-telemetry
203.7k
n8n-ion8n-io/n8n
Guides adding, changing, and reviewing telemetry through the `@n8n/telemetry` event registry. Use when working on telemetry, analytics, tracking, product events, `track()` calls, or RudderStack/PostHog product events, in frontend or backend code — and whenever you need to find which registered telemetry events exist, what an event means, or what properties it carries.

Sprache des Skill-Inhalts: Englisch

otel
192.0k
microsoftmicrosoft/vscode
OpenTelemetry guidance for VS Code agent experiences. Use when changing Agent Host telemetry, local Copilot Chat telemetry, provider-native spans or metrics, OTel settings and managed policy, trace persistence/export, or monitoring documentation.

Sprache des Skill-Inhalts: Englisch

telemetry-standards
108.9k
supabasesupabase/supabase
PostHog event tracking standards for Supabase Studio. Use when adding useTrack() calls, defining events in packages/common/telemetry-constants.ts, implementing tracking for a new feature, or reviewing PRs for telemetry compliance. Covers event naming, property conventions, approved patterns, and implementation guide.

Sprache des Skill-Inhalts: Englisch

distributed-triage
102.8k
pytorchpytorch/pytorch
Sub-triages issues in the oncall:distributed queue by assigning distributed module labels, routing to sub-oncalls, and marking triaged. Use when an issue has been routed to oncall:distributed and needs second-level triage.

Sprache des Skill-Inhalts: Englisch

cost-export
71.6k
ruvnetruvnet/ruflo
Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

Sprache des Skill-Inhalts: Englisch

federation-init
71.6k
ruvnetruvnet/ruflo
Initialize federation on this node — generate keypair and configure peers

Sprache des Skill-Inhalts: Englisch

add-expert
58.6k
remotion-devremotion-dev/remotion
Add a new expert to the Remotion experts page

Sprache des Skill-Inhalts: Englisch

synthetic-screen-recording
56.4k
calesthiocalesthio/OpenMontage
Synthetic terminal-style screen recording guidance for Remotion `TerminalScene`.

Sprache des Skill-Inhalts: Englisch

add-tracing
49.2k
metabasemetabase/metabase
Add OpenTelemetry tracing spans to Clojure code following Metabase tracing conventions. Use when instrumenting backend code with trace coverage.

Sprache des Skill-Inhalts: Englisch

backend-conventions
44.7k
getsentrygetsentry/sentry
Sentry backend conventions for logging, tracing/spans, span/tag attribute naming, metrics tags, and the options system. Use when adding or editing Python in src/ that logs (logger.info/exception), records metrics (metrics.incr/timing with tags), instruments spans/transactions, calls sentry_sdk.set_tag/set_attribute or set_span_tag/set_span_data, or reads registered options with options.get(). Trigger on "add logging", "log an error", "add a metric", "add a span", "instrument tracing", "set an attribute", "add a tag", "read an option", "LOG005", "LOG011", or metrics tag cardinality questions.

Sprache des Skill-Inhalts: Englisch

add-channel-setup-guide
40.0k
novuhqnovuhq/novu
Add a new chat channel's layer-1 setup guide — the in-dashboard <Channel>SetupGuide that walks a developer through connecting the channel itself (create app/bot → save credentials → install/verify → send first message) with live connection detection — in apps/dashboard, following the existing Slack, MS Teams, and Telegram guides. Use when a new agent channel needs its numbered setup stepper, credential drawer wiring, and connectedAt polling under components/agents.

Sprache des Skill-Inhalts: Englisch

instrumenting-first-party-metrics
39.6k
PostHogPostHog/posthog
How to instrument PostHog's own Metrics product from PostHog-owned code — record counters, gauges, and histograms that land in posthog.metrics, the same way customers do. Use when adding application metrics in this monorepo (web, Celery, Temporal), when asked to push or ship metrics into posthog metrics, or when unsure whether the SDK in this environment supports posthog.metrics yet. Covers the environment decision (SDK-first per the public docs, OTel fallback when the SDK path is not available), the exact version gates per SDK, what is already wired internally, and how to validate metrics actually arrive.

Sprache des Skill-Inhalts: Englisch

signals-scout-apm
39.6k
PostHogPostHog/posthog
Signals scout for PostHog distributed tracing (APM / OpenTelemetry spans). Watches per-service RED metrics for error-rate and latency regressions, new error signatures, and traffic cliffs.

Sprache des Skill-Inhalts: Englisch

nature-experiment-log
39.6k
Yuan1z0825Yuan1z0825/nature-skills
标准化实验日志记录——直接上传或读取本地图片、语音和文字，产出带 YAML frontmatter 的 Markdown；可选集成飞书 CLI 与 Obsidian。

Sprache des Skill-Inhalts: Chinesisch

prometheus-configuration
39.5k
wshobsonwshobson/agents
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Sprache des Skill-Inhalts: Englisch

appinsights-instrumentation
38.8k
githubgithub/awesome-copilot
Instrument a webapp to send useful telemetry data to Azure App Insights

Sprache des Skill-Inhalts: Englisch

arize-instrumentation
38.8k
githubgithub/awesome-copilot
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

Sprache des Skill-Inhalts: Englisch

breakdown-feature-prd
38.8k
githubgithub/awesome-copilot
Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.

Sprache des Skill-Inhalts: Englisch

qdrant-monitoring-setup
38.8k
githubgithub/awesome-copilot
Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.

Sprache des Skill-Inhalts: Englisch

arthas-eagleeye-traceid
37.5k
alibabaalibaba/arthas
使用 Arthas 的 watch/trace 获取 EagleEye traceId / 获取请求的 traceId

Sprache des Skill-Inhalts: Chinesisch

arthas
37.5k
alibabaalibaba/arthas
arthas 诊断 java应用，jvm问题 skill

Sprache des Skill-Inhalts: Chinesisch

sglang-diffusion-add-model
35.8k
sgl-projectsgl-project/sglang
Use when adding a new diffusion model or Diffusers pipeline to SGLang.

Sprache des Skill-Inhalts: Englisch

deploying-edr-agent-with-crowdstrike
32.4k
mukul975mukul975/Anthropic-Cybersecurity-Skills
Deploys and configures CrowdStrike Falcon EDR agents across enterprise endpoints to enable real-time threat detection, behavioral analysis, and automated response. Use when onboarding endpoints to EDR coverage, configuring detection policies, or integrating Falcon telemetry with SIEM platforms. Activates for requests involving CrowdStrike deployment, Falcon sensor installation, EDR policy configuration, or endpoint detection and response.

Sprache des Skill-Inhalts: Englisch

welcome
30.7k
nanocoainanocoai/nanoclaw
Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.

Sprache des Skill-Inhalts: Englisch

manifest
30.6k
davila7davila7/claude-code-templates
Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys or endpoints, troubleshooting plugin connection issues, or verifying the observability pipeline is running.

Sprache des Skill-Inhalts: Englisch

prometheus-configuration
30.6k
davila7davila7/claude-code-templates
Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.

Sprache des Skill-Inhalts: Englisch

add-model
29.6k
simstudioaisimstudioai/sim
Add a new LLM model to apps/sim/providers/models.ts with specs verified against the provider's live API docs (no hallucination)

Sprache des Skill-Inhalts: Englisch

table-state
28.4k
TanStackTanStack/table
Use Svelte 5 rune-aware table atoms and stores, $derived projections, reactive option getters, controlled $state or createTableState slices, external atoms, and auto-reset behavior without broad invalidation or snapshot mismatches.

Sprache des Skill-Inhalts: Englisch

zvec-grep-install
27.7k
QwenLMQwenLM/qwen-code
Install zvec-grep (zg) and connect it to Qwen Code.

Sprache des Skill-Inhalts: Englisch

new-monitoring-feature
24.9k
apacheapache/skywalking
Add a new monitoring target / layer to SkyWalking OAP. Orients you to the OAL / MAL / LAL / SpanListener / SegmentListener extension points, the UI template + submodule touchpoints, the docs set that must move together, and the cross-cutting traps that don't live in any one skill.

Sprache des Skill-Inhalts: Englisch

metrics-graphana
23.7k
slopusslopus/happy
Query and manage Grafana dashboards and Prometheus metrics for Happy infrastructure. Covers grafanactl CLI usage, direct Prometheus queries through Grafana proxy, and dashboard-as-code workflows. Use when user asks about metrics, dashboards, monitoring, Grafana, Prometheus, or wants to add/modify panels.

Sprache des Skill-Inhalts: Englisch

my-prs
22.0k
airbytehqairbytehq/airbyte
List PRs opened today that are assigned to me or the move-destinations team, excluding external contributors

Sprache des Skill-Inhalts: Englisch

metrics-instrumentation
21.8k
comet-mlcomet-ml/opik
Specification for instrumenting an opik-backend workflow with operational OpenTelemetry metrics — per-stage throughput/latency/error counters and native histograms, dimensioned per-customer (workspace). Use when a pipeline (scoring, ingestion, experiments, jobs) needs per-stage visibility. Covers metric emission only; building the Grafana dashboard from these metrics is a separate skill. Distinct from analytics-instrumentation (PostHog product events).

Sprache des Skill-Inhalts: Englisch

gsy-cast-and-loopback
21.5k
CarGuoCarGuo/GSYVideoPlayer
使用内核层投屏 SPI（CastCapability + CastProvider）接入 DLNA，或做本地 loopback 回环模拟被投屏端。

Sprache des Skill-Inhalts: Chinesisch

dyaddebug-minified-error
21.4k
dyad-shdyad-sh/dyad
Map a minified error stack trace from a production Dyad build back to original source locations using source maps.

Sprache des Skill-Inhalts: Englisch

kibana-otel-instrumentation
21.2k
elasticelastic/kibana
Implement and quality-check OpenTelemetry metric instrumentation in Kibana code that uses `@kbn/metrics`. Use whenever the user wants to add, change, or review OTel metrics — including any call to `metrics.getMeter`, `meter.createCounter`/`createUpDownCounter`/`createGauge`/`createHistogram`/`createObservable*`/`addBatchObservableCallback`, edits to `kibana.yml` `telemetry.metrics` config, or questions like "is this metric well-designed?", "what should I name this counter?", or "which instrument type is right here?". Trigger this skill even when the user does not say "OTel" or "OpenTelemetry" but is clearly adding observability to Kibana server code and already knows what they want to measure.

Sprache des Skill-Inhalts: Englisch

agent-platform-alert-configuration
19.6k
googlegoogle/skills
Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.

Sprache des Skill-Inhalts: Englisch

cloud-monitoring-promql-query
19.6k
googlegoogle/skills
Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric selection.

Sprache des Skill-Inhalts: Englisch

gke-observability
19.6k
googlegoogle/skills
Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local application logging frameworks or external APMs outside GKE.

Sprache des Skill-Inhalts: Englisch

iii-observability
18.7k
iii-hqiii-hq/iii
OpenTelemetry-backed tracing, structured logs, metrics with rollups, alerts, sampling, and baggage for the engine — emit and query telemetry through `engine::*` functions and react to logs with a `log` trigger.

Sprache des Skill-Inhalts: Englisch

prometheus
18.2k
RightNow-AIRightNow-AI/openfang
Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability

Sprache des Skill-Inhalts: Englisch

deepeval-otel
18.1k
confident-aiconfident-ai/deepeval
Export raw OpenTelemetry traces from an AI application to Confident AI's Observatory. TRIGGER when the user wants to send OpenTelemetry or OTLP traces/spans from an LLM app, agent, RAG pipeline, or chatbot to Confident AI; configure the Confident AI OTLP endpoint; set confident.span.* or confident.trace.* attributes; export AI-app traces without the deepeval Python package; wire an OTLPSpanExporter, OpenTelemetry Collector, or vendor-neutral OTel SDK to Confident AI; or pick the US vs EU OTLP endpoint. Language-agnostic: the mechanism is OTLP attribute keys plus an exporter endpoint. DO NOT TRIGGER for building DeepEval pytest eval suites, datasets, goldens, metrics, or deepeval test run (use the `deepeval` skill); for instrumenting with the DeepEval SDK's @observe decorator or framework integrations (use the `deepeval-tracing` skill); or for non-AI software such as web servers, CRUD backends, or infrastructure: the confident.* attributes describe AI components only.

Sprache des Skill-Inhalts: Englisch

vector
17.0k
kubespherekubesphere/kubesphere
Use when installing or configuring the WizTelemetry Data Pipeline (vector) extension for KubeSphere, which provides data collection, transformation, and routing for observability data including logs, auditing, events, and notifications

Sprache des Skill-Inhalts: Englisch

whizard-auditing
17.0k
kubespherekubesphere/kubesphere
Use when working with WizTelemetry Auditing extension for KubeSphere, including installation, configuration, and audit query API

Sprache des Skill-Inhalts: Englisch

whizard-events
17.0k
kubespherekubesphere/kubesphere
Use when working with WizTelemetry Events extension for KubeSphere, including installation, configuration, and event query API

Sprache des Skill-Inhalts: Englisch

whizard-logging
17.0k
kubespherekubesphere/kubesphere
Use when working with WizTelemetry Logging extension for KubeSphere, including installation, configuration, and log query API

Sprache des Skill-Inhalts: Englisch