20 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 20 plugins that match these filters.
magnus-agent-skillsmagnus919/agent-skills3
otelysseyusing-system/otelyssey2
arize-skillsArize-ai/arize-skills1
rudder-agent-skillsrudderlabs/rudder-agent-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAdd Arize AX observability to LLM applications — auto-instrumentation, trace export, dataset management, experiment workflows, prompt optimization, deep linking, and migrations from Langfuse, LangSmith, and Braintrust via the ax CLI.
Cross-tool RudderStack domain knowledge: data catalog, tracking plans, data graphs, instrumentation planning, instrumentation debugging, and destination delivery debugging.
devtoolsArize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI.
Operate Azure workloads with cost management, production diagnostics and triage, Application Insights instrumentation, observability stack design, and reliability posture assessment.
Evidence-driven JavaScript reverse-engineering skill: signature recovery, runtime instrumentation, deobfuscation, verbatim sandbox harnesses, misdiagnosis triage, and replay delivery.
Diagnose and design product adoption for onboarding, activation, behavior change, feature discovery, rollout, and sustained use after launch. Covers consumer, B2B, internal-tool, and public-service contexts with evidence-based decision points and cohort segmentation. Does not own acquisition campaigns or marketing conversion (routes to go-to-market), product-analytics instrumentation (routes to product-analytics-and-measurement), or customer-success account management and health scoring (routes to conditional-customer-success). Do not use this skill for unrelated requests; route to the nearest named specialist.
Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).
Compare intended product outcomes against observed results to close the launch-to-learning loop: collect post-launch evidence, distinguish expected from observed from uncertain from inferred claims, update assumptions, assess feature health, and choose among continue/improve/harvest/pivot/pause/retire — including retirement lifecycles with deprecation, migration, customer treatment, and retained reusable learning. Do not use for incident postmortems or root-cause analysis (routes to incident-learning or site-reliability-engineering); do not use for analytics instrumentation or metric dashboard design (routes to product-analytics-and-measurement); do not use arbitrary thresholds as universal retirement rules — decisions require human judgment and context.
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing instrumentation.
68 PM skills (30 phase + 11 foundation + 12 utility + 15 tool) plus 6 sub-agents (pm-critic, pm-skill-auditor, pm-changelog-curator, pm-release-conductor, pm-workflow-orchestrator, pm-skill-router) covering the full product lifecycle. v2.35.0 is a quality release: pm-skills now declares edition 0.17 of the Advanced Skill Library Standard at Bronze in a new library.json, measure-instrumentation-spec 3.0.1 and utility-pm-release-conductor 1.0.2 bring two templates back in line with their own skills, and the sample library gains a Model Trace Capture example. No new skills; catalog stays 68 skills / 6 sub-agents. Full release history: https://github.com/product-on-purpose/pm-skills/blob/main/CHANGELOG.md
Opinionated guidance for clear and operationally useful OpenTelemetry instrumentation.
instrumentationOpenTelemetry signal quality with durable workflows and fresh, version-correct upstream evidence.
instrumentationVersion-pinned inventory of the telemetry (spans, metrics, logs, attributes) emitted by OpenTelemetry collector components and SDK instrumentation packages. Lookup by component and version, including how emission changed across versions.
OpenTelemetry in Go: declarative SDK setup with otelconf, API surface, contrib instrumentation libraries (otelhttp, otelgrpc), compile-time zero-code instrumentation (otelc), performance tuning, breaking-change audits.
OpenTelemetry in Java: Javaagent zero-code instrumentation, Spring Boot Starter, manual autoconfigure SDK, declarative YAML configuration, BOM dependency management.
OpenTelemetry in Node.js / JavaScript / TypeScript: NodeSDK, declarative YAML configuration, auto-instrumentations, ESM vs CJS import patterns.
OpenTelemetry in Python: declarative SDK setup (experimental file config), API surface and logging bridge, zero-code instrumentation (opentelemetry-distro / opentelemetry-instrument) and contrib catalog, performance tuning, breaking-change audits.
OpenTelemetry in .NET: DI/builder SDK setup (OpenTelemetry.Extensions.Hosting), native BCL instrumentation (ActivitySource, Meter, ILogger), zero-code CLR-profiler agent and contrib instrumentation catalog, performance tuning, breaking-change audits. Note: .NET has no declarative YAML config yet.
OpenTelemetry in Ruby: SDK and Bundler setup, manual tracing, experimental metrics and logs, contrib instrumentation for Rails/Rack/Sinatra/Sidekiq and other gems, propagation, performance, and breaking-change audits.
OpenTelemetry in the browser (Real User Monitoring / RUM): web tracing SDK (sdk-trace-web, context-zone) and experimental browser-sdk, event- and span-based browser instrumentations (web vitals, navigation, errors, fetch/XHR), sessions, frontend-to-backend trace propagation, bundle size / cost / PII trade-offs.
