4,644 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
dotnet-agent-skillsdotnet/skills3
pm-skillsphuryn/pm-skills1
khazix-skillsKKKKhazix/khazix-skills1
im-not-aiepoko77-ai/im-not-ai1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceSmart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture
Payment gateway integration with Stripe, PayPal, checkout flow implementation, subscription billing, and PCI compliance
Production-grade Bash scripting with defensive programming, POSIX compliance, and comprehensive testing
NVIDIA DGX Spark (GB10) environment operations. Use when setting up, preflighting, or debugging ML workloads on DGX Spark or aarch64 Blackwell hardware — CUDA-13 wheel/ABI checks, unified-memory OOM ladders, thermal monitoring.
AI image generation with creative workflow orchestration, prompt engineering, and curated inspiration library via MCP server
Require a human approval signal before an AI agent can post PR reviews, comments, merges, or writes to CI configuration. Joins protect-mcp and signed-audit-trails in the governance category; composes with protect-mcp for runtime enforcement.
Moved to phuryn/product-engineering, which maintains the AI Shipping Kit in its ai-shipping plugin; the skills and commands here only say where each one went.
Six practical skills for research, writing, project closeout and storage analysis.
AI가 쓴 한글 텍스트를 사람이 쓴 글처럼 윤문하는 오케스트레이터 스킬 + 서브에이전트 묶음 (route_hint 3경로).
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
Skills for Blazor development: component authoring, interactivity, and web application patterns.
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Claude Code plugin for ComfyUI — generate images, visualize workflows, manage models, and explore custom nodes
原创中文 Claude Code Skills：AI 视频制作、中文代码审查、中文 README 生成、API 测试、重构建议、性能分析、安全审计、依赖审计、数据库迁移、国际化、日志分析、错误翻译、ESLint 修复、测试生成、CI/CD 生成、环境变量管理、项目结构地图、变更日志、Git 工作流等
developmentForces the laziest solution that works. YAGNI, stdlib first, one line over fifty.
productivity5 business & growth skills: customer success manager, sales engineer, revenue operations, contract & proposal writer.
Compact the current conversation into a handoff document for another agent to pick up. Configurable save location, redaction enforcement, SessionStart auto-load + SessionEnd reminder, self-check fidelity script, --refresh flag, mtime-guarded cleanup. Inspired by Matt Pocock's handoff (MIT).
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
Answer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
