125 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 125 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills2
pm-claude-skillsmohitagw15856/pm-claude-skills2
marketingskillscoreyhaines31/marketingskills1
awesome-journal-skillsbrycewang-stanford/Awesome-Journal-Skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceProduction incident management, triage workflows, and automated incident resolution
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Production-grade Playwright testing toolkit. 9 skills, 3 agents, 55 templates, plus optional (manually enabled) TestRail/BrowserStack integrations. Generate tests, fix flaky failures, migrate from Cypress/Selenium.
53 marketing skills for technical marketers and founders: CRO, copywriting, cold email, prospecting, SEO, AI SEO, paid ads, SMS, ad creative, video production, image generation, co-marketing, churn prevention, pricing, referrals, revenue operations, sales enablement, customer research, site architecture, comprehensive AARRR-structured marketing plans, public relations and earned media, offer design, event marketing and webinars, and more
Complete Supabase integration skill pack with 30 skills covering authentication, database, storage, realtime, edge functions, and production operations. Flagship+ tier vendor pack.
Complete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.
Operator-grade Firecrawl v2 skill pack with 30 governed acquisition, security, reliability, and production workflows
Operator-grade Fireflies.ai GraphQL and Webhooks V2 pack with 24 governed workflows for meeting data, AskFred, ingestion, security, reliability, and production operations.
Create production-ready, editable PowerPoint decks through a spec-first, coordinate-explicit workflow with read-only reference analysis and quality gates.
Sprint & delivery skills: Sprint Planning, Technical Spec, A/B Test Planner, Go-to-Market Planner, Launch Checklist, Sprint Brief, Retro Analysis, PPTX Slide Auditor, User Story Writer, Launch Readiness. Write production-ready user stories with Given/When/Then acceptance criteria, plus a cross-functional pre-launch readiness assessment with an explicit Go / Conditional Go / No-Go recommendation.
Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check
Error tracing, root cause analysis, and smart debugging for production systems
Production-grade Bash scripting with defensive programming, POSIX compliance, and comprehensive testing
Model-neutral workflows for creating, validating, and production-upgrading Agent Skills, agents, plugins, MCP integrations, hooks, and marketplaces with Beads-backed evidence and specialist review roles.
Operate AI agents and LLM features in production: prompt regression suites, model migration plans, context-engineering reviews, agent incident postmortems, and observability specs — plus the pm-ai evaluation and cost skills they build on.
Database architecture, schema design, and SQL optimization for production systems
Twelve-skill bundle covering the Production and Operations Management (POM) manuscript lifecycle.
academicTools, skills, and CLI extensions for designing and productionizing LLM inference pipelines. Pattern-guided, slim by default, eval-first.
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
Production-grade plugin creator with marketplace-validated quality standards. 4 Agent Skills automate creating, validating, auditing, and versioning plugins in the claude-code-plugins marketplace
