Claude Code 플러그인
공개 Claude Code 마켓플레이스의 플러그인 25개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 25개의 플러그인을 표시합니다. 필터 초기화
Production incident management, triage workflows, and automated incident resolution
Framework updates, migration planning, and architectural transformation workflows
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
Test-driven development methodology with red-green-refactor cycles and code review
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Claude Code plugin for ComfyUI — generate images, visualize workflows, manage models, and explore custom nodes
Git workflow automation, pull request enhancement, and team onboarding processes
Interactive debugging, developer experience optimization, and smart debugging workflows
Team workflows, issue management, standup automation, and developer experience optimization
Multi-agent system optimization, agent improvement workflows, and context management
Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows). Every session opens with an intake question set; when the user is vague, a stdlib recommendation engine infers and proposes a topology with rationale instead of stalling. Ships 3 stdlib Python tools (intake recommendation engine, .js validator enforcing pure-literal-meta / no-non-determinism / guarded-loop / parallel-thunk rules, topology scaffolder), 3 references citing 7-8 authoritative sources each (API surface, orchestration patterns, decision + intake guide), templates + a runnable example, cs-workflow-architect persona agent + /cs-workflow-build slash command. Use when building, scaffolding, or running a custom Claude Code workflow or orchestrating sub-agents (fan-out, pipeline, loop, judge-panel).
Festival Methodology: goal-oriented project management for human-AI development workflows. Provides fest and camp CLI integration, automatic installation, and methodology guidance.
Firebase Genkit expert for production-ready AI workflows with RAG and tool calling
Implement TypeScript, Python, Go, Rust, native apps, APIs and terminal workflows.
Train and optimize machine learning models with automated workflows
Design complex n8n workflows with AI assistance - loops, branching, error handling
Orchestrate complex test workflows with dependencies, parallel execution, and smart test selection
Integrate HighLevel, build with AI Studio and map exported workflows.
Build, configure, authenticate, extend, document, operate, upgrade, and contribute to Backstage applications and the Backstage core repository with current first-party workflows, safety gates, and migration guidance.
Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.
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