Genel Claude Code pazaryerlerinden 21 eklenti. Her biri birlikte yüklenen beceriler, eğik çizgi komutları, ajanlar, kancalar veya MCP sunucuları içerir.
Bu filtrelere uyan 21 eklenti gösteriliyor.
brooks-lint-marketplacehyhmrright/brooks-lint1
claude-code-workflowswshobson/agents1
dotnet-agent-skillsdotnet/skills1
awesome-journal-skillsbrycewang-stanford/Awesome-Journal-Skills1.claude-plugin/marketplace.json içeren depoyu gönderin, biz de her plugini listeleyelim.
Marketplace gönderAI 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.
Run a structured multi-agent debate by spawning a panel of expert agents on any question, with convergence-aware iteration and typed synthesis output via the `agent-council` CLI. Use when a decision has genuine tradeoffs, high stakes, or hidden assumptions worth adversarial collaboration, or when confidence diagnostics matter more than a single recommendation. Compatible with any AI agent harness that supports agentskills.io skills (Claude Code, Cursor, Hermes Agent, OpenHands, etc.). Do not use for simple factual lookups, tasks with a clear correct answer, routine single-perspective work, or code execution and tool orchestration beyond debate.
Operate PostgreSQL instances safely: configuration review, index and query-plan analysis, vacuum and bloat management, WAL archiving and point-in-time recovery, replication and failover, extensions, major-version upgrades, and evidence-based diagnostics with the bundled read-only pgdiag script. Use when running or inspecting a PostgreSQL server, diagnosing performance or backup health, or planning an upgrade or failover. Do not use for application-level data access patterns (that's backend-engineering) or schema design (that's data-architect/data-engineering).
Administer and troubleshoot remote Linux, FreeBSD, NetBSD, OpenBSD, and macOS systems safely, one host or a fleet at a time. Use when a task requires SSH, Ansible, Paramiko, POSIX diagnostics, service management, software updates, system configuration, firewall changes, or evidence-led remote operations. Do not use for local-only desktop administration, container or cluster orchestration (route to kubernetes), or cloud consoles that expose no remote shell.
Operate Terraform and OpenTofu across the whole infrastructure lifecycle: module structure, state backends and locking, plan/apply workflow, drift detection, remote state, upgrade and refactor flows, and evidence-based diagnostics. Use when running or inspecting terraform plans, applies, state files, imports, or state surgery, or when the bundled tfops script should handle the task. Do not use for IaC methodology or cloud design decisions - those route up to platform-engineering.
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
