Claude Code eklentileri
Genel Claude Code pazaryerlerinden 95 eklenti. Her biri birlikte yüklenen beceriler, eğik çizgi komutları, ajanlar, kancalar veya MCP sunucuları içerir.
Bu filtrelere uyan 95 eklenti gösteriliyor.
Genel Claude Code pazaryerlerinden 95 eklenti. Her biri birlikte yüklenen beceriler, eğik çizgi komutları, ajanlar, kancalar veya MCP sunucuları içerir.
Bu filtrelere uyan 95 eklenti gösteriliyor.
.claude-plugin/marketplace.json içeren depoyu gönderin, biz de her plugini listeleyelim.
Marketplace gönderSkills for developing with Nutrient SDKs: Web Viewer, Document Authoring, Mobile (iOS/Android/React Native/Flutter/MAUI), Server (Python/Java/Node.js/.NET), self-hosted Nutrient Document Engine, and Nutrient AI Assistant.
Modern Python best practices. Use when creating new Python projects, and writing Python scripts, or migrating existing projects from legacy tools.
Implement TypeScript, Python, Go, Rust, native apps, APIs and terminal workflows.
Browser automation MCP server with progressive disclosure design -- uses 3.2x fewer tokens than Playwright MCP across 6 tasks. Single execute_code tool runs Python with async browser functions, persisted login sessions, CLI daemon workflows, and compact description mode for token optimization.
Robot skill bundles for the gap engine — perception, grasping, transport, tracking, and policy-steering strategies (skills/) plus model-backed tool bundles (tools/: SAM3, Grounding DINO, Gemini-ER, Molmo, generic VLM, CuRobo planning, pure-math geometry). Each bundle is an Agent Skills directory; Python deps install via one pip extra per bundle.
Produce real, editable Office files (not markdown): Excel Model (live formulas), Slide Deck (.pptx), and Word Document (.docx). Generated via openpyxl / python-pptx / python-docx — needs a code-execution environment (Claude Code, API code tool, or Claude.ai).
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.
Migrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. AWS Transform - continuous modernization analyzes codebases for tech debt, security issues, and upgrade opportunities, then remediates them.
A Claude Code plugin for Python and TypeScript code that agents write: normative principles attached to a LikeC4 architecture model, which also serves as an import whitelist. Enforced by a complete PR workflow that generates OpenSpec changes, whose archives double as ADRs.
Eight Kafka skills (topic audit, consumer lag, perf review, schema, security, connectors, DLQ, python client scaffold) powered by the Lenses MCP server
Fifteen-skill bundle covering the AER manuscript lifecycle: topic selection, literature positioning with citation verification, identification, experimental pre-registration with power/MDE sizing, robustness, body-section drafting, introduction, tables/figures, manuscript consistency audit, adversarial referee simulation, replication, submission, rebuttal, and the workflow router, plus the optional StatsPAI implementation engine. Ships with Stata, R, and Python templates plus replication-package skeleton and classic-paper exemplars.
academicAgent skills for Ultralytics YOLO and Platform: model selection, dataset annotation, training, tuning, inference, export, and deployment through the Platform web UI, the Python package, and the yolo and ul CLIs.
developmentAPI/interface design and OpenAPI, backend review with integration boundaries, auth/session and authorization, error handling and observability, and Python/FastAPI project review.
Perform language and framework specific security best-practice reviews and suggest improvements. Covers Python, JavaScript/TypeScript, and Go. Use when the user requests security best practices guidance, a security review or report, or secure-by-default coding help.
Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable. Produces a multi-page website (default), a single-page site, a self-contained single-file HTML page, a Word document, a PowerPoint deck, or LaTeX source. Use whenever a user has a stress-test result, ambiguity audit, or "where will this be litigated" scenarios and wants to publish, present, or share them. Triggers on "publish the audit," "make a report from this," "turn this into a website / deck / brief / Word doc," "make a Netlify site," "build slides of these ambiguities," "render the scenarios," "package this stress test," "produce a LaTeX version," and similar. Pairs with the ambiguity-stress-test skill (the underlying analysis) but works on any structured or semi-structured ambiguity analysis. Design is opinionated but colors, fonts and brand label are overridable. Most formats need Python and a writable filesystem; single-file HTML works where
Build, test, and ship voice agents with LiveKit. Skills for the LiveKit Agents SDK (Python and Node.js) covering voice AI architecture, live debugging, turn-level tests, simulations, and deployment, plus the LiveKit Docs MCP server for current docs, SDK code search, and changelogs.
Self-improving skill memory for Claude Code: MCP server (9 tools) + memory hooks on five events. Requires the skillmem Python package on PATH (pip install skillmem).
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.
14 working methods for python: pytest-mastery, python-asyncio, python-cli-tools, python-concurrency, and more
Self-contained production skill plus on-demand reference skill for Chinese-narration recaps from supported video files: local Python/ffmpeg; remote Xiaomi MiMo ASR, VLM, and default TTS; optional Fish Audio TTS with a separate API key or a self-hosted HTTP TTS endpoint; final playback review required.