OpenAI plugins

Design and deploy LLM applications with LangGraph agents, RAG systems, vector search, and advanced prompt engineering. Covers embedding model selection, hybrid retrieval, evaluation, and production scaling for chatbots and AI assistants.

Build production data pipelines with Apache Airflow, dbt, and Spark, including vector database integration for RAG systems and embedding model optimization.

Design, build, and evaluate autonomous AI agents with behavioral testing, RAG systems, prompt engineering, and MCP server creation for external tool integration.

Build and optimize LLM applications with production-ready patterns for RAG pipelines, context window management, prompt caching strategies, and observability using Langfuse.

Automate performance analysis, test coverage review, and AI-powered code quality assessment across PRs and codebases using multi-agent reviews, static analysis tools, and observability agents for scaling, caching, and load testing.

Deploy full-stack applications to Azure Container Apps with Bicep infrastructure, develop Azure Functions with production patterns, integrate Azure OpenAI and AI Search, instrument Node.js with OpenTelemetry monitoring, and authenticate using Azure Identity SDK.

Build and test AI agents and MCP servers: design autonomous agents, implement RAG pipelines, manage LLM context windows, build MCP servers from scratch, and use observability with Langfuse. Includes prompt engineering, agent testing, and LangGraph patterns.

Build, monitor, and optimize LLM applications with strategies for context management, RAG pipelines, caching, observability, and evaluation. Includes patterns for production deployment, embedding selection, vector database integration, and LLM-as-Judge evaluation.

Run structured AI product evaluation and operations workflows including A/B testing, LLM agent benchmarking, product analytics, and observability.

Deploy and manage Azure cloud applications with skills for Azure Container Apps deployment via Azure Developer CLI, Azure OpenAI integration for .NET, Azure Functions development patterns, Azure Identity authentication, Azure Monitor telemetry for Node.js, and Azure AI Search vector/hybrid search capabilities.

Design, build, test, and deploy sophisticated AI agents with memory systems, RAG, LangGraph orchestration, and MCP tool integration.

Enables end-to-end data engineering: orchestrating Airflow DAGs, transforming data with dbt, optimizing Postgres/SQL performance, and implementing vector search and RAG pipelines for AI/ML applications.

Apply advanced prompt engineering patterns including few-shot learning, chain-of-thought, structured outputs, and prompt optimization to maximize LLM performance and reliability in production applications.

Build Retrieval-Augmented Generation (RAG) systems by connecting LLMs to vector databases for semantic search and knowledge-grounded AI. Enables document Q&A, reduces hallucinations, and integrates external knowledge bases into LLM applications.

Design LLM applications using LangChain 1.x and LangGraph to build autonomous AI agents with state management, memory, and tool integration patterns

Translates Figma designs into code, deploys to Cloudflare/Netlify/Vercel/Render, performs security reviews, processes PDFs and audio, and manages projects in Notion and Linear—all as Claude Code skills.

Build and run evaluators for AI/LLM applications using Phoenix, covering code-first eval design, judge model selection, RAG evals, synthetic data generation, and production guardrails.

Guide selection and optimization of embedding models for semantic search and RAG, including chunking strategies and model comparisons.

Write, run, and refine promptfoo eval suites for LLM testing, including adversarial red team scans with configurable providers, plugins, and strategies. Automate CI gates and export reports.

Instrument LLM applications with OpenInference tracing for Phoenix AI observability, covering auto and manual instrumentation, custom span types, production deployment, and trace analysis.

Manage complex development workflows with AI-driven task orchestration: parse PRDs into structured tasks, auto-implement with code generation and testing, analyze dependencies and complexity, and coordinate multi-agent execution for ambitious projects.

Enable semantic vector search with AgentDB for document retrieval, similarity matching, and context-aware querying in RAG systems.

Generate and edit images via GPT Image 2 using 80+ structured prompt templates for posters, UI, products, infographics, diagrams, and comics across three modes: local OpenAI-compatible, host-native delegation, or advisor for high-quality prompt crafting.

Reverse-engineer existing Chinese web novels (finished or WIP) into a standard project structure compatible with subsequent writing workflows, plus analyze, review, and generate covers for web novel content using AI and browser automation.

Orchestrate multi-agent development workflows with skills for collaborative design, autonomous coding via OpenAI, multi-agent research, GitHub issue fixing and PR review, image generation, session handoffs, and browser automation via Chrome DevTools.

Design and generate n8n automation workflows with AI-powered assistance, including node configs, branching, error handling, and importable JSON exports for self-hosted or cloud n8n instances.

Develop, deploy, and maintain Anthropic Claude API integrations across the full lifecycle: setup, coding patterns, streaming, tool use, cost optimization, security, monitoring, CI/CD, and production deployment.

Manage OpenRouter as an LLM gateway with 30 skills covering multi-model routing, fallback configuration, cost controls, caching, PII redaction, audit logging, rate limiting, production readiness validation, and usage analytics

Manage Granola AI meeting notes end-to-end: install, configure, capture, transcribe, integrate with Slack/Notion/CRM/Zapier, automate action items to GitHub/Linear, troubleshoot errors, enforce security/compliance, and monitor usage and costs.

Get an independent LLM code review on uncommitted changes, branch diffs, or specific commits. Uses OpenAI Codex CLI or Google Gemini CLI, and bundles Codex's MCP server for direct tool access.

Deploy specialized AI agents to automate data engineering, ML pipeline development, LLM application building, research synthesis, and prompt engineering tasks across your projects.

Build, debug, deploy, and monitor Perplexity Sonar API integrations with production-grade patterns for search-augmented AI applications.

Orchestrate multi-agent AI systems with handoffs, routing, and coordination across AI providers (OpenAI, Anthropic, Google) using AI SDK v5. Scaffold projects with specialized agents, create custom agent files, and test orchestration with real-time handoff tracking.

Build, test, and deploy LangChain, LangGraph, and Deep Agents applications with support for RAG pipelines, human-in-the-loop workflows, state persistence, parallel task dispatch, and LangSmith deployment via the mda CLI.

Query multiple AI agents (Gemini, OpenAI, Grok, Perplexity, plus local subagents) for diverse perspectives on coding problems, then synthesize consensus, divergence, and recommendations. Supports async jobs and connectivity checks.

Integrate and operate the Speak AI language learning platform via skills for API authentication, audio preprocessing, testing, deployment, monitoring, security compliance, and incident response.

Structured workflows for senior product managers building AI-powered products: ethical AI review, product canvas, experiment design, design handoff briefs, multi-source signal synthesis, and hybrid skill fusion.

Manage Microsoft Azure infrastructure end-to-end: provision resources with Bicep/Terraform, deploy apps via Azure Developer CLI, monitor with Application Insights, debug production issues, audit compliance, optimize costs, and interact with AI services including OpenAI, Search, and Speech.

Accelerate building and operating production LangChain 1.0 and LangGraph 1.0 Python applications with battle-tested patterns for chains, agents, RAG, streaming, HITL, middleware, monitoring, security, and deployment.

Integrate and manage Cohere API v2 across the full development lifecycle—from SDK setup and local mocking to production deployment, monitoring, and incident response. Includes RAG pipelines, tool-using agents, cost optimization, security compliance, rate limiting, and migration from OpenAI/Anthropic or Cohere v1.

Integrate Together AI's full platform into your workflow: run inference with open-source LLMs, fine-tune models, manage deployments, handle webhooks, optimize costs, and migrate deprecated APIs — all through Claude Code skills.

Search 2500+ curated open-source repositories for ChatGPT, LLMs, RAG agents, and AI tools directly from Claude Code, using domain-specific keyword expansion and grep-based search.

Run Codex CLI for code analysis, refactoring, and automated editing directly from Claude Code, with support for model selection, sandbox modes, and session resumption.

Manage Azure infrastructure and AI services from .NET — provision databases, caches, messaging, and AI agents; authenticate with Entra ID; handle keys, events, and search.

Manage Langfuse LLM observability across the full lifecycle: installation, configuration, tracing, evaluation, cost monitoring, deployment, scaling, and incident response. Supports OpenAI, LangChain, and other LLM frameworks with CI/CD integration and production-grade patterns.

Query your codebase using natural language by building a local knowledge graph from your repository, with CLI commands to scaffold multi-agent projects, initialize environment configs for LLM providers, and refresh indexed data.

Build and deploy serverless applications and AI agents on EdgeOne Makers: cloud functions (Node.js, Python, Go), edge functions, middleware, KV/Blob storage, project scaffolding, and CLI management. Includes migration paths from LangChain, OpenAI Agents SDK, and other frameworks to the platform.

Benchmark and evaluate LLM endpoints behind OpenAI- or Anthropic-compatible APIs for availability, request fidelity, speed, concurrency, protocol compliance, and quality regression. Use when onboarding a provider, debugging silent failures, or verifying performance claims.

Generate AI images with intelligent prompt engineering and inspiration search. Transform product photos into brand-ready e-commerce assets, create vertical cover art for short-video platforms, and orchestrate batch generation across multiple providers.

Orchestrates multi-agent AI development teams (PO, Architect, Dev, QA, Reviewer) through structured workflows for requirements gathering, code generation, testing, and code review across multiple sessions with quality gates and failure recovery.

Automate coding tasks by delegating implementation, code review, and sandboxed execution to OpenAI Codex (GPT-5) via slash command or trigger phrases.

Generate design assets for web projects: accessible color palettes with WCAG contrast checks and Tailwind CSS output, favicon packages with all required formats and HTML tags, custom SVG icon sets with consistent styling, and image processing (resize, convert, optimize). Also generate AI images for hero sections, icons, and OG visuals using Gemini or OpenAI APIs.

Automates office and creative workflows: browser-based form filling and data scraping, structured PRD and patent application generation in Chinese, AI image/video creation, Lark/Feishu workspace management, programmatic video authoring with Remotion, and AI writing trope detection.

Automate project health audits, permission management, dev sessions, team updates with feedback triage, GitHub releases, multi-model AI second opinions, git workflows, UX audits, responsive layout testing, and browser automation across the full development lifecycle.

Integrates Codex CLI and API for AI-powered code generation, analysis, and reasoning using GPT-5 models, running locally with API key authentication.

Automates detection of MATLAB installations, deployment of the MATLAB Agentic Toolkit MCP server, registration with AI coding agents (OpenAI, Anthropic), and environment verification to enable MATLAB-in-the-loop agentic workflows.

Enforce human-quality writing across documentation with voice profiling, AI slop detection, and style-consistent generation. Extract voice profiles from exemplar text, generate docs matching that voice, review for AI patterns and drift, and refine profiles from edits.

Delegate coding tasks to the local OpenAI Codex CLI agent using a ChatGPT Pro OAuth flat-rate subscription, enabling code generation, refactoring, and review without per-token API charges.

Executes full-spectrum marketing campaigns across LinkedIn, Google, Meta, Reddit, Twitter, TikTok, Telegram, Discord, Slack, and Feishu: SEO audits, keyword research, content creation, ad management, competitor analysis, conversion optimization, and team messaging via webhooks and bot APIs.

Generate test fixtures that mock LLM responses, tool calls, error injection, multi-turn agent loops, embeddings, structured output, and sequential responses across multiple AI providers.

End-to-end SageMaker AI model lifecycle management: validate datasets, select and fine-tune models (SFT, DPO, RLVR, RLAIF), deploy to SageMaker endpoints or Bedrock, diagnose HyperPod cluster and NCCL failures, and evaluate model quality — all through natural-language instructions.

Orchestrate parallel multi-agent workflows from plan files, execute headless browser automation, generate production-grade frontend code from design images, and manage Codex plugins, hooks, and custom agents.

Optimizes any user prompt using the 4-D methodology (Deconstruct, Diagnose, Develop, Deliver) for AI platforms like OpenAI, Anthropic, and Gemini, returning a precision-crafted prompt with improvement notes.

Generate and store vector embeddings from text files, database tables, or API responses, then perform semantic similarity search with metadata filtering, re-ranking, and deduplication.

Build high-converting landing pages with Next.js and ShadCN UI, generate Instagram-style card news, automate web research and code analysis, track development changes, and enhance workflows with multi-AI engineering loops and design prompts.

Develop Java enterprise applications with Spring Boot, AWS cloud services, and LangChain4j AI agents. Generate CRUD REST APIs, validate architecture, audit security, and test with Testcontainers.

Build, deploy, and manage web apps and AI agents on Vercel. Covers AI SDK integration, deployment pipelines, environment variables, caching, storage, authentication, and performance optimization across the Vercel platform.

Handles visual AI tasks including image processing, OCR, barcode detection, and document analysis using latest vision models (GPT-4V, Claude Vision) with cost optimization

Intercept, inspect, and transform LLM API traffic (OpenAI/Anthropic) using a mitmproxy-based proxy with OAuth authentication, SDK integration, and sentinel key substitution

Build production-ready Convex applications with skills covering schema design, functions, realtime patterns, file storage, cron jobs, HTTP endpoints, security audits, and AI agents

Accelerates full-stack engineering with a security-first skill pack covering code impact analysis, vulnerability scanning, threat modeling, AI/ML agent development, frontend design systems, office document processing, and multi-agent coordination, alongside structured output formats for debugging, architecture, and documentation.

Implements AI/ML features including language model integration, recommendation systems, computer vision, and intelligent automation with prompt engineering, ML pipelines, and model deployment

Reproduce ML papers from arxiv, debug failing experiments with evidence-first protocols, compare training runs across tracking systems with epoch-aligned analysis, and audit paper claims against code and data. Includes LaTeX environment setup, literature gap analysis, and pre-launch training run verification.

Implement AI/ML features including LLM integration, recommendation systems, computer vision, and intelligent automation with practical prompt engineering, ML pipelines, and model deployment.

Optimize prompts for AI models using the 4-D methodology (Deconstruct, Diagnose, Develop, Deliver) to produce precision-crafted prompts with improvement notes, supporting OpenAI, Anthropic, and Gemini platforms.

Manage Azure cloud resources, infrastructure, and AI services from Claude Code: deploy apps with Bicep/Terraform, monitor with Application Insights, audit security and compliance, optimize costs, and migrate workloads from AWS/GCP.

Build and manage durable LLM workflows using the Output SDK on Temporal. Create steps, prompts, evaluators, and tests; debug execution traces; manage encrypted credentials; and scaffold, run, and monitor workflow executions.

Orchestrate multi-LLM councils that engage in adversarial debate and cross-validation across roles like implementer, reviewer, and architect, returning structured JSON decisions for code review, architecture, planning, and security tasks.

Create Korean podcast episodes from URLs, tweets, articles, or PDFs with automated script writing, OpenAI TTS audio generation, and direct upload to YouTube.

Conduct comprehensive cybersecurity audits, threat modeling, incident response, and compliance assessments across cloud, container, mobile, AI, and web environments using structured frameworks like NIST, OWASP, and MITRE ATT&CK.

AI-powered markdown editor that integrates OpenAI Codex for code generation and assistance, with local Tauri app development tools for project management and builds.

Automates legal workflows across contract review, compliance analysis, document drafting, e-discovery, and matter management. Provides over 130 specialized skills for GDPR, EU AI Act, sanctions screening, NDA review, legal research, invoice auditing, and French/Icelandic/Indian law tasks. Includes document processing (DOCX, PDF, XLSX), timeline management, and AI governance assessments.

Orchestrates multi-agent AI swarms across Claude Code, Gemini CLI, and Codex CLI to autonomously manage GitHub issues from creation through merged PR, with TDD enforcement, design review gates, adversarial code review, and PR shepherding.

Build and optimize production-grade DSPy 3.2.x pipelines with typed signatures, modular programs, rich-feedback evaluation metrics, GEPA evolutionary optimization, and RLM-based long-context reasoning over 100k+ tokens

Implements AI/ML features in applications: integrates LLMs, builds recommendation engines, adds computer vision search, and automates intelligent workflows with prompt engineering, ML pipelines, and model deployment.

Run persistent Claude Code agents that route messages and tasks across chat platforms (Telegram, Discord, WhatsApp) with integrations for Gmail, PDF extraction, local LLMs, and code review automation. Includes conversation management and extension support.

Enables multi-agent AI coding workflows across different backends (e.g., Claude, Codex, Gemini) for cross-agent planning, code review, task delegation, and mesh coordination, with built-in CLI and skill management.

A skill pack for content creation and automation: generate images, videos, infographics, and comics; process documents with OCR; post to X, WeChat, and Douyin; format markdown for Obsidian and WeChat; and create business insight dashboards.

Build, configure, and deploy AI agents with the Motus framework, supporting ReActAgent patterns, custom tools, workflows, memory, guardrails, and local or cloud serving.

Consult Gemini 2.5 Pro, OpenAI Codex, and Claude for second opinions on debugging failures, architectural decisions, and security validation. Routes requests to the best AI for the task, spawns unbiased subagents, and synthesizes multiple perspectives into a unified analysis.

Run untrusted AI agent code, browser automation, and parallel sandboxes with suspend/resume and durable workflow orchestration using the Tensorlake SDK.

Build and optimize RAG pipelines with document chunking, embedding generation, and vector retrieval, while writing, debugging, and optimizing LLM prompts using advanced techniques like chain-of-thought and few-shot learning.

Deploy and orchestrate enterprise AI/ML workloads on SAP BTP using SAP AI Core and SAP AI Launchpad, including generative AI model deployment (GPT, Llama, Gemini, Mistral), RAG pipelines with vector databases, ML training with Argo Workflows, content filtering, and PII data masking.

Process images, perform OCR, detect barcodes, and analyze documents using cutting-edge vision models (GPT-4V, Claude Vision) with automatic cost optimization.

Run local AI inference on AMD hardware: route image/audio through local models on Ryzen AI, serve LLMs on Instinct GPUs with vLLM, and analyze PyTorch profiler traces for GPU kernel performance.

Generate, optimize, and sync AI prompts across multiple models (Claude, GPT, Gemini, Perplexity) with model-specific patterns, difficulty levels, and automated versioning to Obsidian and git repositories.