Claude Code plugins
5,175 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
5,175 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceDetect performance regressions in CI/CD pipeline
Implement Real User Monitoring for actual performance data
Build recommendation systems and engines
Track and optimize resource usage across the stack
Track and optimize application response times
Security review subagent for code analysis
Generate comprehensive security audit reports
Configure service mesh (Istio, Linkerd) for microservices
Track SLAs, SLIs, and SLOs for service reliability
Database plugin for stored-procedure-generator
Azure Local skills covering standard deployments (Azure Stack HCI, 1-16 node hyperconverged, rack-aware clusters) and multi-rack (rack scale) deployments built on Network Fabric Controller, Cluster Manager, and managed network fabric.
Creates an Agent Authority Charter for enterprise or regulated AI agents before deployment. Use this Skill when a user needs to define what an AI agent is allowed to do, who delegated authority to it, what actions are permitted or prohibited, when human approval is required, what evidence must be preserved, and how the agent can be suspended, revoked, or escalated.
Conduct AI governance, legal-risk, privacy, compliance, procurement, or vendor-risk reviews of internal AI use cases, AI product features, LLM workflows, or third-party AI vendors. The skill runs a structured intake process, identifies required documentation and missing evidence, maps the use case to AI governance frameworks and applicable legal domains, and produces a governance review with scorecards, findings, owners, remediation actions, and follow-up questions.
Generate a formal, structured AI Act compliance assessment report suitable for legal files, audit trails, and regulatory inquiries. Supports multiple output formats: full assessment report, classification record (Prüfprotokoll), compliance register entry, and management briefing (Entscheidungsvorlage), with optional Word document export.
Depth assessment of whether an AI system is high-risk under Art. 6 of the EU AI Act, grounded in the Commission's draft Art. 6(5) classification guidelines (general principles + Annex I + Annex III). Covers the Annex I product-safety route, all eight Annex III areas with worked examples, the Art. 6(3) exception and its profiling re-exception, and the Art. 25 quasi-provider trap. Outputs a structured decision block, a practitioner memo, and a JSON interchange artefact.
Authoritative regulatory Q&A grounded in 70 official EU source documents, including the 2026 Commission draft guidelines on Art. 6 high-risk classification. Answers any EU AI Act question with article-level citations from the full regulation text, Commission guidelines, EDPB/EDPS opinions, codes of practice, harmonised standards, FRIA guides, and sector-specific guidance — covering penalties, timelines, GPAI obligations, high-risk and prohibited practices, and the AI Act / GDPR interplay.
Map the full set of legal obligations based on role and risk tier under the EU AI Act, producing an actionable compliance matrix with RACI assignments, implementation priorities, GDPR cross-references, and a phased implementation roadmap.
Fast 15-25 minute triage for preliminary AI Act classification and compliance assessment. Produces a preliminary output with risk tier, role, top obligations, compliance timeline, and jurisdiction flags, then routes to detailed skills for full analysis.
Determine the organization's role under the EU AI Act — provider (Anbieter), deployer (Betreiber), importer, distributor, or quasi-provider — and assess Art. 25 quasi-provider risk from substantial modifications, rebranding, or changed intended purpose.
Determine whether a technology qualifies as an AI system under Art. 3(1) and classify its risk tier (prohibited, high-risk, GPAI with systemic risk, limited risk, minimal risk). Covers scope exclusions (Art. 2), AI system definition test (7 criteria), prohibited practice screening (Art. 5), high-risk assessment (Annex I + III with Art. 6(3) exception), GPAI check, and Art. 50 transparency triggers.