13 плагинов из публичных маркетплейсов Claude Code. Каждый объединяет навыки, слэш-команды, агентов, хуки или MCP server, которые устанавливаются вместе.
Показано 13 плагинов, соответствующих фильтрам.
Connect to your Phoenix instance to debug, evaluate, and improve LLM applications.
backendMCP server for Dynatrace Managed (self-hosted): query logs, metrics, events, entities, problems, security vulnerabilities and SLOs across one or more clusters.
backendFor Grafana Cloud: a hosted MCP server with OAuth sign-in for dashboards, metrics, logs, traces, alerts, and incidents. Nothing to install.
backendFor self-hosted Grafana, or any Grafana with a service-account token: dashboards, Prometheus, Loki, alerting, incidents, and OnCall via the Grafana MCP server, run locally in Docker.
backendRecords which repository and branch each coding-agent session worked in, and teaches the agent to read its own traces back from LangWatch.
backendConnect your coding agent to the hosted LogPacer MCP server, with skills for setting up collection, instrumenting apps and investigating logs.
backendWork with your OneUptime project from your coding agent: investigate and respond to incidents and alerts, check monitors and status pages, and query logs, metrics and traces.
backendDatadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.
backendRespan for ChatGPT and Codex: inspect LLM logs and traces, and manage prompts, datasets, evaluators, experiments and monitors in your Respan workspace.
backendSet up Sentry, debug production issues, and configure application monitoring.
backendOfficial SigNoz plugin for MCP setup, docs, queries, dashboards, and alerts
backendQuery logs, alerts, dashboards, SIEM insights, and detection rules from Sumo Logic for production debugging, incident response, and security investigation
backendDatadog observability skills for designing, redesigning, and auditing dashboards with proper widget selection, layout patterns, template variables, and operational readiness validation using the pup CLI, and for checking metrics against Datadog's no-cost metrics before creating custom ones
backend