68 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 68 plugins that match these filters.
openshiftredhat-developer/agentic-skills1
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives1
dev-agent-skillsNeplich/dev-agent-skills1
dspy-skillslebsral/DSPy-Programming-not-prompting-LMs-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceVisual regression testing — screenshot baselines, determinism, diff review, baseline custody and CI wiring. Load when adding, reviewing or debugging tests that compare a rendered subject against an approved image.
Plan static inspection of unknown binary files with a deterministic CLI whose Ghidra operations are currently unimplemented and fail closed. Use when you need to inspect a PE, ELF, or Mach-O file — triage suspicious binaries, map imported APIs, decompile functions, trace call paths, or produce structured evidence reports. Do not use for runtime analysis (debugging, dynamic tracing, sandbox execution), for modifying or patching binaries, or for binaries you already know everything about. The skill owns planning, hypothesis formation, and evidence synthesis; the CLI owns all deterministic operations.
Build or refactor agent-facing CLI tools with non-interactive commands, stable --help and --json contracts, idempotent operations, and --dry-run previews. Use for CLI design, agent-friction refactors, output/exit-code debugging, or automation safety. Do not use for GUI/TUI design, conversational tools, MCP server design, or general API architecture; use api-design-and-evolution for the latter.
Review a code change for correctness, security, maintainability, and test adequacy, and reach a defensible verdict. Use when reviewing a pull request, diff, patch, or AI-generated change; when scoping an oversized review into reviewable units; when writing or triaging review comments; when assigning reviewers or setting review policy; or when investigating why a defect escaped review. Covers change sizing and attention budgets, risk-tiered checklists, severity-labeled comments, verdict and residual-risk records, review metrics that resist gaming, and the measured limits of checklists and AI reviewers. Do not use for implementing the requested change, root-cause debugging of a failing test or incident (use systematic-debugging), security assessment of a whole system (use security-audit-methodology), designing new code securely (use secure-software-engineering), architecture review across systems (use software-architecture), or reverse-engineering an unfamiliar codebase (use software-arc
Deploy, manage, and troubleshoot self-hosted GitHub Actions runners. Covers systemd service, Docker containers, Kubernetes (Actions Runner Controller), and the Scale Set Client. Use when setting up a CI runner, debugging registration failures, designing autoscaling, or hardening runner security. Do not use this skill for unrelated requests; route to the nearest named specialist.
Build multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows. Covers supervisor, swarm, and hierarchical multi-agent patterns; subgraph composition; state management (checkpointers/stores); persistence; evals; and production debugging. Reach for this when designing agent architectures that need cycles, conditional branching, parallel execution, or human-in-the-loop patterns. Do not use this skill for unrelated requests; route to the nearest named specialist.
Design and apply QA methodology for software teams: test strategy, regression testing, CI failure triage, test automation, quality gates and metrics, risk-based testing, exploratory testing, test design techniques, AI code quality gates (independent verification, artifact provenance, spec-first oracles, AI-review-comment triage, acceptance-criteria testability for Spec-Driven Development), mutation-guided test hardening and review evidence (surviving mutants, weak assertions, diff-aware mutation testing), agentic eval design (dataset test design, judge-as-system-under-test, flaky-eval discipline), QA career levels (Senior/Staff/Principal), and SDET engineering (test infrastructure, gTAA, CI/CD integration). Do not use for root-cause debugging of production incidents, security implementation or threat modeling, or evaluation framework governance and statistical analysis — route those to systematic-debugging, secure-software-engineering, and agent-evals-and-observability respectively.
Design, automate, and operate end-to-end software releases: release process models and pipelines (trunk-based development, CD stages, release trains), progressive delivery and feature flags, versioning and artifact management (SemVer, conventional commits, changelogs, SBOM/provenance), readiness and quality gates, rollback and recovery planning, change-management and audit compliance (SOC 2, SOX, PCI), DORA metrics, and multi-team release coordination. Do not use for application feature implementation (backend-engineering/frontend-engineering), production incident root-cause debugging or on-call/SLO operations (systematic-debugging / site-reliability-engineering), security implementation or threat modeling (secure-software-engineering), or internal developer platform construction (platform-engineering).
Diagnose root causes with a four-phase debugging protocol. Use for ANY technical issue — test failures, production bugs, unexpected behavior, performance problems, build failures, or integration issues. ESPECIALLY when under time pressure, when "one quick fix" seems obvious, or when previous fix attempts have failed. Do not use this skill for unrelated requests; route to the nearest named specialist.
Deploy, configure, and troubleshoot Traefik v3 reverse proxy — covers all providers, routing, TLS/ACME, middlewares, and production patterns with YAML examples. Load when setting up or debugging a Traefik instance. Do not use this skill for unrelated requests; route to the nearest named specialist.
Operate Woodpecker CI from installation through production troubleshooting: configure servers and agents, connect Forgejo/Gitea or another forge, write and validate pipelines, manage secrets and plugins, use Docker or Kubernetes backends, run the CLI, and diagnose failed builds. Use when setting up, administering, or debugging Woodpecker CI. Do not use this skill for unrelated requests; route to the nearest named specialist.
Skills for Red Hat OpenShift GitOps (Argo CD + Argo Rollouts) — knowledge and manifest generation, repository auditing, live cluster debugging, and performance tuning
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing instrumentation.
Repository analysis, technical design, implementation, debugging, tests, and Git delivery. Apply these capabilities directly to the requested engineering outcome.
Skills for AI production operations: cost optimization, model switching, monitoring, request tracing, experiment tracking, safety testing, and error debugging
Linux kernel development the way experienced kernel engineers work: drivers, devicetree, Kconfig, debugging by symptom, testing, patch review and submission, regressions and bot reports, and stable, LTS, and vendor kernel trees.
development8 software development skills: code review, TDD, debugging, git worktrees, brainstorming, subagent-driven development
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use when debugging production issues or working with Datadog observability.
Magento 2 / Mage-OS development skills: magento-module (scaffolding, plugin-vs-observer decisions, DI patterns, REST/GraphQL, CLI/cron, PHPUnit testing, debugging), magento-hyva (Hyva theme development with Alpine.js, Tailwind, Magewire), and magento-audit (storefront performance audit).
Comprehensive push notification guide for iOS (APNS) and Android (FCM). Use for setup, debugging delivery issues, implementing handlers, token management, deep linking, and troubleshooting platform-specific issues.
