35 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 35 plugins that match these filters.
pstack-claudemichael-denyer/pstack-claude1
comfyui-mcpartokun/comfyui-mcp1
festivalObedience-Corp/festival1
investigators-copilotassafkip/investigators-copilot1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplace45 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator, API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker, feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate, slo-architect (error-budget + multi-window burn-rate alerts per Google SRE Workbook), tech-debt-tracker, agent-regression-evals, coding-agent-rollout, commit-craft, agent-run-forensics and i18n-localization. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, Op
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).
If you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence. Original pstack by Lauren Tan (poteto).
Transform Claude Code into an autonomous AI development powerhouse with rich task context, specialized agents, and intelligent workflow automation
Claude Code plugin for ComfyUI — generate images, visualize workflows, manage models, and explore custom nodes
Festival Methodology: goal-oriented project management for human-AI development workflows. Provides fest and camp CLI integration, automatic installation, and methodology guidance.
PreToolUse security reminder hook for Claude Code. Catches 12 common security anti-patterns in Edit/Write/MultiEdit operations BEFORE they happen — command injection (exec, os.system, subprocess shell=True), XSS (innerHTML, dangerouslySetInnerHTML, document.write), SQL injection (f-string queries, .format), unsafe deserialization (pickle, yaml.unsafe_load), code injection (eval, new Function), and GitHub Actions workflow injection. Session-state caching prevents duplicate warnings; 30-day auto-cleanup. Disable per-session with ENABLE_SECURITY_REMINDER=0. Ported from David Dworken at Anthropic.
Free open-source OSINT and investigation toolkit for Claude Code: case workflow, 54 OSINT adapters, structured analysis, chain-of-custody evidence capture, threat-intel MCP servers.
Unified AI-native Vibe Coding plugin: PRD generation, digging analysis, screen-spec (IA / User Flow / Wireframe HTML / Dev Handoff), team-based parallel implementation, quality-gated auto-commit, 20 design styles, frontend (React/Next.js), backend (NestJS/Prisma), mobile (React Native/Expo), AI integration (STT/LLM), DevOps (Docker/CI-CD). 11 agents, 5 commands, 8 skills, team knowledge wiki (auto-collect + recall for WIGTN repos).
Code review, fixes, commits, release flows, and linting for development workflows
Production-ready Git workflow automation for pull requests, releases, QA, code review, and local notifications
Development workflow skills, commands, and hooks
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
Football data analytics toolkit. Covers football provider docs, identity surfaces, and analytics workflows including Opta, StatsBomb, Wyscout, SportMonks, soccerdata, mplsoccer, databallpy, and free sources. Acquire, wrangle, compute, analyse, brainstorm visualisations, and review your work. Includes a searchable MCP docs server, Reep Register lookup routing, 11 skills, and 3 agents.
Complete project development toolkit: agents, reusable skills, and lifecycle skills (/spec to /ship) for Claude Code workflows
QA skills and agents: test-plan generation, manual test execution with recon and independent evidence review, a curated knowledge bank, bug filing, and promotion of strong scenarios to regression tests.
testingAgent Alchemy Dev Tools — dev utilities, debugging, and workflow enhancements
Expert assistant for PactFlow's OpenAPI contract testing tools — Drift CLI and OpenAPI spec parsing
88 curated skills (incl. workspace-mode for cross-repo flows), 30 composite slash commands, 14 specialist subagents with per-agent model + reasoning-effort tuning, and 10 hook scripts that quietly enforce discipline (confirm-to-commit on protected branches, destructive-git gating, no AI-attribution trailers in commits/PRs, dependency pre-flight, iron rules injected at session start). Covers the whole SDLC — including post-PR: CI diagnosis, releases, dependency audits, live incident response. Drives the senior-IC loop end-to-end via /orc:flow — workspace-aware: from a parent dir with multiple sibling repos, one flow spans them all with N linked PRs.
Rigorous methods for statistics, machine learning, and meta-analysis, from question to paper: pre-specified SAPs, statistical and reporting-checklist review, and reproducible R and Python workflows. Every study compounds.
