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Skills IA blockchain monitoring

Découvrez les skills blockchain monitoring, comparez leurs dépôts et consultez leurs instructions.

Catégories: blockchain monitoring

361–384 sur 1,010

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Explorer

GitHub

observability-patterns

melodic-software

Use when implementing observability strategy, correlating signals, or designing monitoring systems. Covers the three pillars (logs, metrics, traces) and their integration.

GitHub

distributed-tracing

melodic-software

Use when implementing distributed tracing, understanding trace propagation, or debugging cross-service issues. Covers OpenTelemetry, span context, and trace correlation.

GitHub

standard-out-setup

melodic-software

Add console output and logging to make errors visible to agents. Standard out is a critical leverage point - without it, agents cannot see errors or understand application state. Use when agents fail silently,...

GitHub

multi-agent-observability

melodic-software

Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.

GitHub

instrumentation-planning

melodic-software

Plan instrumentation strategy before implementation, covering what to instrument, naming conventions, cardinality management, and instrumentation budget

GitHub

hook-event-architecture

melodic-software

Design hook-based event systems for ADW observability. Use when implementing real-time event broadcasting, creating hook pipelines, or building agent activity monitoring.

GitHub

prd-v08-monitoring-setup

mattgierhart

Define monitoring strategy, metrics collection, and alerting thresholds during PRD v0.8 Deployment & Ops. Triggers on requests to set up monitoring, define alerts, or when user asks "what should we monitor?", "...

GitHub

prd-v09-launch-metrics

mattgierhart

Define success criteria and tracking setup for launch during PRD v0.9 Go-to-Market. Triggers on requests to define launch metrics, set up tracking, or when user asks "how do we measure launch success?", "launch...

GitHub

error-detective

404kidwiz

Use when user needs complex error pattern analysis, distributed system debugging, error correlation, root cause discovery, or predictive error prevention across microservices.

GitHub

containerize-apps

mjunaidca

Containerizes applications with impact-aware Dockerfiles and docker-compose configurations. This skill should be used when containerizing projects for Docker, creating Dockerfiles, docker-compose files, or prep...

GitHub

dapr-integration

mjunaidca

Integrate Dapr for pub/sub messaging and scheduled jobs. Use this skill when implementing event-driven architectures with Dapr, handling CloudEvent message formats, setting up pub/sub subscriptions, or scheduli...

GitHub

configuring-dapr-pubsub

mjunaidca

Configures Dapr pub/sub components for event-driven microservices with Kafka or Redis. Use when wiring agent-to-agent communication, setting up event subscriptions, or integrating Dapr sidecars. Covers componen...

GitHub

production-debugging

mjunaidca

Debug production issues in Kubernetes clusters. Use this skill when investigating 500 errors, missing functionality, silent failures, or service integration issues. Covers systematic log analysis, tracing reque...

GitHub

data-quality

majesticlabs-dev

Quality dimensions, scorecards, distribution monitoring, and freshness checks. Use for data validation pipelines and quality gates.

GitHub

pipeline-diagnostics

majesticlabs-dev

Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks.

GitHub

trace-debugger

sunholo-data

Debug performance issues and understand code flow using AILANG telemetry traces. Use when user asks to debug slow compilation, analyze benchmarks, find bottlenecks, investigate hangs, or understand system behav...

GitHub

grey-haven-incident-response

greyhaven-ai

Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems...

GitHub

grey-haven-observability-monitoring

greyhaven-ai

Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging produ...

GitHub

grey-haven-devops-troubleshooting

greyhaven-ai

DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...

GitHub

grey-haven-deployment-cloudflare

greyhaven-ai

Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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