19 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 19 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills2
indradmdhrumilmistry/indra1
suedeJasonColapietro/suede-creator-skills1
potetos-for-everyoneTheOnlyFusionCube/potetos-for-everyone1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceOrchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
Autonomous multi-agent development framework with spec-driven sprints. Write specs, run /sprint, and let coordinated agents (backend, frontend, QA, UI testing) handle implementation through self-iterating convergent loops.
Error analysis, trace debugging, and multi-agent problem diagnosis
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).
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
Multi-agent application-security review. An offensive-security pipeline: map a codebase with Graft, hunt vulnerabilities with a per-class knowledge base, chain findings for escalation, verify real impact, and report (README/JSON/SARIF/doc/PDF).
securityMulti-agent orchestration subset: search competing plans and ship one selected repo change through the Suede Thought Graph DAG (suede-graph-flo-xr), coordinate build lanes with quality gates and a signed handoff (suede-agent-teams), route cross-surface work end to end (suede-workflow-skills), and turn AI features into eval specs and acceptance gates (suede-ai-eval).
Drop-in replacement and superset for pstack-claude with complete upstream v0.15.0+ parity, SessionStart hooks, and multi-agent support.
developer-toolsProduction ADK orchestrator for A2A protocol and multi-agent coordination on Vertex AI
Multi-agent orchestration for Claude Code, Codex and Cursor: parallel coding agents that settle shared files before the merge, QA agents that test the running app, clickable prototypes, workbenches and live plans in aiview. On your own subscription.
Self-Learning Multi-agent orchestration framework for spec-driven development and automated verification. With smarter tool calling and leaner context.
Skills and agents for the feature cycle: brainstorm a spec, plan tasks, build with tests (in parallel worktrees for larger plans), run a multi-agent code review that checks each finding against the code, debug from hypotheses, write commit messages and PR descriptions, build UI from Figma, and hand over context between sessions
Multi-agent research system for comprehensive topic investigation. The research-team:coordinator skill decomposes a topic into subtopics, spawns parallel research-specialist subagents, and delegates synthesis to a report-writer — all from the main agent thread so nested-spawn constraints don't apply. Reports are plain Markdown by default, with Obsidian and Joplin profiles and five report templates.
Agent workflow suite — Karpathy-pattern autoresearch (hill-climbing, multi-agent research) and skill-improver (Claude Code skill optimization loop).
ai-workflowDesign, generate, and run multi-agent AI pipelines — scope-aware, multi-pipeline, spec-driven, write/review-isolated, with step-level create/update/delete and integrated audit
developmentMulti-agent collaborative development workflow: Planner → Dev → Test → Learn with automatic bug-fix loops, test layering, and experience accumulation
