117 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 117 plugins that match these filters.
365-skillsAgents365-ai/365-skills1
rust-skillspo4yka/rust-skills1
shader-skillsgokayfem/shader-skills1
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAuthoritative reference and rules for developing with Zotero — the Web API v3 (read/write requests, file upload, syncing, streaming, OAuth, item types & fields), the desktop client's internal JavaScript API, building Zotero plugins (7–10, incl. Zotero 10 migration notes), writing translators (web/import/export/search), and creating/editing CSL citation styles. Use whenever the user asks to query or write to a Zotero library via the API, build or debug a Zotero plugin, write a Zotero translator, work with citeproc-js / CSL styles, sync Zotero data programmatically, or script the Zotero client.
Networking, database, performance, debugging, and observability: 7 Rust agent skills.
Create and debug procedural GLSL shaders with a tested library, SDF raymarching, terrain, water, clouds and ready-to-run Shadertoy examples.
developmentGive your AI agent full visibility into Power Automate cloud flows via the FlowStudio MCP server. Connect, debug, build, monitor health, and govern flows at scale — action-level inputs and outputs, not just status codes.
Workflows for building RudderStack Profiles projects: setup, project creation, project analysis, controlled updates, and debugging.
devtools8 working methods for embedded iot: embedded-debugging, embedded-memory-constraints, firmware-ota-updates, interrupt-safe-code, and more
Architecture-aware engineering principles framework for Claude Code. Provides systematic, tiered workflows for bug fixes, new features, refactoring, code review, test writing, requirements refinement, debugging, shipping, sprint planning, migrations, and security audits.
Tauri 2.x mobile development - iOS via WKWebView, Android via Android WebView, mobile plugins, Swift/Kotlin native code, permissions, debugging
Visual 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
Use Docker Compose to define, run, debug, and harden multi-container applications. Load for compose.yaml design, networking, volumes, secrets, profiles, overrides, watch mode, lifecycle operations, or troubleshooting. Do not use this skill for unrelated requests; route to the nearest named specialist.
Build, configure, flash, test, debug, and recover firmware for ESP32-family boards, including ESP-Mosaico kit bring-up, ESP-IDF C/C++, Arduino/PlatformIO, MicroPython, CircuitPython, ESPHome, Zephyr, Rust, and NuttX. Use when identifying an ESP32 board, choosing a framework, wiring GPIO or peripheral buses, integrating sensors or actuators, diagnosing serial/boot/power/network failures, planning OTA and production security, or automating hardware tests and fault injection. Do not use as a substitute for the exact board schematic, SoC datasheet, or attached component datasheet.
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, customize, and debug advanced Hugo CMS themes — template architecture, asset pipeline (CSS/JS/image processing), shortcodes and render hooks, page bundles, cover images, Hugo Modules, performance, SEO, and CI/CD. Use when working on a Hugo theme or site template layer. Do not use this skill for unrelated requests; route to the nearest named specialist.
Interact with Atlassian Jira from the terminal: search issues with JQL, view details, create issues, add comments, count matches with fast approximate-count, list projects, discover valid transitions, and change status. Includes a full JQL language reference (functions, operators, history predicates, date expressions, saved filters, performance tuning) plus REST auth/pagination guidance. Use when the user mentions Jira, a ticket key (e.g. PROJ-123), asks about issues, bugs, tasks, projects, or sprint work, or needs to write, debug, or optimize JQL queries. Do not use for GitHub or GitLab issue tracking, Jira site administration, or generic ticketing systems.
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.
Operate Playwright for browser automation end to end: author and debug E2E test suites (robust locators, network interception and mocking, parallel workers, accessibility snapshot checks), wire them into CI, and drive headless browsing and scraping with an extract -> validate -> save loop. Use when writing, running, fixing, or scraping with Playwright, when a Playwright CI failure or JSON report needs triage, or when the bundled pwrun script should analyze a run. Do not use for QA strategy or test framework selection (route to qa-methodology), for frontend component or architecture design (route to frontend-engineering), or for Cloudflare/DDoS-GUARD challenge bypass (use flaresolverr).
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.
