43 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 43 plugins that match these filters.
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace1
comfyui-mcpartokun/comfyui-mcp1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceBackend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
Production incident management, triage workflows, and automated incident resolution
CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
Framework updates, migration planning, and architectural transformation workflows
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
Transform Claude Code into an autonomous AI development powerhouse with rich task context, specialized agents, and intelligent workflow automation
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
Email-workflow skill pair: inbox-setup builds your taxonomy/KB; inbox-triage classifies + drafts (drafts-only, never auto-send). KB-file contract between them. Path-B from megaprompts 06+07.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
AI image generation with creative workflow orchestration, prompt engineering, and curated inspiration library via MCP server
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
Skill-author skill: create new agent skills with proper structure, progressive disclosure, and bundled resources. Derived from Matt Pocock's MIT-licensed write-a-skill with: (1) 3 stdlib Python validation tools (description validator, structure validator, review-checklist runner — all enforcing Matt's 6-item checklist), (2) 4 references citing 7-8 authoritative sources each (progressive disclosure principles, description design patterns, quality gates, companion tooling), (3) cs-skill-author persona agent + /cs-write-a-skill slash command. Matt's voice and 3-phase workflow (Gather → Draft → Review) preserved verbatim per MIT.
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).
