Claude Code plugins
11 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 11 plugins that match these filters.
11 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 11 plugins that match these filters.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceConvert long markdown files into world-class single-file interactive HTML — DOMAIN COMPLETE at v2.10.3 (5 skills). v2.10.3 adds md-slides, the slide-deck converter (arrow/Space/PgDn/Home/End/P navigation, presenter mode with clock + speaker notes + next-slide preview, URL-hash deep linking, @media print page-per-slide for browser-native PDF export; vanilla JS only; Prism.js opt-in via --syntax). Joins md-review (v2.10.2 code-review converter: 2-col diff, severity-tagged margin annotations, WCAG-1.4.1 badges, named reviewer footer), md-document (v2.10.1 long-form: sticky TOC, scrollspy, search, code-copy, Prism autoloader), markdown-html-orchestrator (v2.10.0 context: fork; deterministic doc-type classifier), and design-system (v2.10.0 onboarding wizard; WCAG-AA 12-token palette). 15 stdlib-only Python tools, 15 references, 4 template assets. Inspired by Thariq Shihipar's Claude Code HTML output essay.
Universal Claude Code workflow with specialized agents, skills, hooks, and mode commands for any software project. Includes orchestrator, code-reviewer, debugger, docs-writer, security-auditor, refactorer, and test-architect agents.
Installs a pipeline to validate, plan, execute, and enforce a secure code review on PRs.
A markdown brain that gives your AI coding tools judgment and rigor. Skills: init, build, debug, performance, qa, interview, learn, signature, persona, route, lint, clarify, deepen, double-check, deprecate, roadmap, assess, constitution, living-docs, specify, blueprint, breakdown, checklist, analyze, converge, prototype, explain, prompt, quarantine, report, handoff, levelup, help + agents: architect, code-reviewer, refactorer, tech-scout. Experimental (v0.33.2).
研发流程与导航工具集:Delivery Secretary、BRD、UC、PRD、UI Design、Prototype、API、分层及有限变更 HLD/LLD Review、Code Writer、授权溯源 Code Review、Test、Runbook。命令:/testany-eng:guide, /testany-eng:delivery-secretary, /testany-eng:brd-interviewer, /testany-eng:uc-interviewer, /testany-eng:prd-writer, /testany-eng:prd-reviewer, /testany-eng:ui-designer, /testany-eng:prototype-designer, /testany-eng:prototype-reviewer, /testany-eng:api-writer, /testany-eng:api-reviewer, /testany-eng:guardrails-writer, /testany-eng:guardrails-reviewer, /testany-eng:hld-writer, /testany-eng:hld-reviewer, /testany-eng:test-strategy-writer, /testany-eng:test-strategy-reviewer, /testany-eng:lld-writer, /testany-eng:lld-reviewer, /testany-eng:code-writer, /testany-eng:code-reviewer, /testany-eng:test-spec-writer, /testany-eng:test-reviewer, /testany-eng:runbook-writer
Tiered AI code-review: triage -> relevant specialist reviewers -> synthesis. Built to catch what AI-written code actually ships with: code that ignores what the repository already knows, needless dependencies, over-engineering, hallucinated APIs.
Spec Driven — orchestrator-first Agent Skills for spec-driven development. The orchestrator skill turns a PRD or idea into approved SPECs, tracked GitHub Issues, TDD-implemented slices, QA gates, and reviewed PRs. Includes gap-analysis, write-specs, execute-specs, scaffold-mvp, create-issues, qa-analyst, code-review-and-quality, sonarqube-autofix, draw.io/Mermaid architecture diagrams, and MCP integrations.
10 agent skills: gap-analysis, spec-coding, research-plan-implement, code-review-expert, spec-compact, spec-lint, html-diagram, meeting-recap, declawed, agent-insights.
productivity12 working methods for ai coding tools: agent-code-review, agent-context-setup, agent-cost-control, agent-debugging-workflow, and more
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
Hotspot-first deep code review: change map → risky hotspot selection → per-hotspot lens subagents → skeptic pass → comment budget. Surfaces at most 5 high-signal findings or questions per run.