17 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 17 plugins that match these filters.
claude-code-workflowswshobson/agents1
dotnet-agent-skillsdotnet/skills1
awesome-journal-skillsbrycewang-stanford/Awesome-Journal-Skills1
serankingseranking/seo-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAI code reviews grounded in twelve classic engineering books — decay risk diagnostics with book citations, severity labels, and six analysis modes (PR review, architecture audit, tech debt, test quality, health dashboard, full-sweep auto-fix)
Error tracing, root cause analysis, and smart debugging for production systems
Skills for .NET MAUI development: environment setup, diagnostics, troubleshooting, navigation, data binding, dependency injection, layout, and theming.
Twelve-skill bundle covering the Psychological Bulletin review / meta-analysis lifecycle — from a meta-analyzable question through PRISMA search, coding, random-effects synthesis, moderators and publication-bias diagnostics, MARS/JARS reporting, transparency, submission, and rebuttal.
academicClaude SEO Skills for the SE Ranking MCP server. Keyword research, content briefing, page intelligence, technical and content audits, structured data, drift monitoring, SXO diagnostics, competitive analysis, paid search, AI-search optimization, sitemap analysis, subdomain mapping, content opportunity mining, strategic roadmap planning, local SEO (GBP / NAP / local pack), international SEO (hreflang validation), Google APIs (GSC, PSI, CrUX, Indexing, GA4, YouTube, NLP), and SE Ranking API integration recipes (Data API + Project API).
seoiOS engineering: networking, security, auth, accessibility, debugging, ETTrace performance, memgraph analysis, diagnostics, linting, and App Store optimization
development
Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.
Repo diagnostics, architecture review, planning, refactor safety, diff review, release readiness, project bootstrap, and optional storage artifact lifecycle guidance.
Error diagnosis, fault isolation, log forensics, and incident investigation.
developer toolsSQL-native time-series forecasting skills for the anofox_forecast DuckDB extension — models & ensembles, backtesting, statistical diagnostics, seasonality/changepoint detection, EDA/features, and data prep.
Testing workflow skill for high-value test discovery, strategy selection, focused test implementation, realistic workload generation, strict test review, and suite health diagnostics.
Local-first apps, runtime diagnostics, startup/health gates, launchers, and log bundles.
Read-only project diagnostics and developer workflows
Discover, lint, format, and validate BIRD 2/3 projects with parser-backed diagnostics.
developmentDebugs iOS, macOS, watchOS, tvOS, and visionOS apps with LLDB and Xcode: breakpoints, live state inspection and mutation, view debugging, watchpoints, memory, crash symbolication, code without source (assembly, ABI, Mach-O, runtime), hooks in your own app, attach and signing diagnostics, custom LLDB commands, and DTrace
zapret-openwrt: DPI desynchronization via nfqws, auto-hostlists, LuCI config, and strategy diagnostics
TypeScript 7 native LSP — uses tsgo for faster type checking and diagnostics.
