Gemini plugins

Coordinate multiple AI providers (Claude, Gemini, API-based) to automate code review, TDD, debugging, security audits, design extraction, and documentation generation, with autonomous task decomposition and parallel execution for complex workflows.

Orchestrate structured, spec-driven development workflows for AI coding agents — from project initialization and phased planning through autonomous execution, code review, testing, and milestone tracking. Includes context engineering, knowledge graphs, and multi-agent debugging.

Manage Google Ads and Meta Ads campaigns, run SEO audits, optimize content for AI search engines (GEO), and generate schema markup — all from Claude. Includes keyword research, broken link scanning, landing page scoring, and content calendar planning powered by Google Search Console and advertising APIs.

Write, optimize, and publish blog content with AI-powered research, SEO analysis, multilingual translation, and AI citation readiness. Integrates Google APIs for performance data, generates schema markup, images, audio narration, and repurposes content across platforms.

Consult multiple AI agents (Gemini, OpenAI, Grok, Perplexity) for diverse perspectives on coding problems, architecture decisions, and debugging dead-ends. Includes parallel subagents, local-only councils, background job management, and a meta-advisor that prompts council consultation when needed.

Enable Claude to analyze local video files or YouTube URLs with full multimodal perception: extract frames and audio via FFmpeg, detect scenes/motion/silence/transitions, transcribe speech using Whisper or Gemini, generate detailed visual descriptions, summaries, and answer questions interactively.

Equips Claude Code with 61 marketing and GTM skills for founders: research competitors, generate launch assets, audit pricing/pages, draft outreach sequences, analyze app store reviews, and automate content creation across blogs, social, email, and video.

Run a full digital marketing agency from Claude Code — plan campaigns, execute paid/SEO/email/social, audit performance, manage brands, and generate client deliverables across 158 skills and 25 agents.

Turn rough dictated requests into structured prompts, critique plans with a panel of AI reviewers before committing, close sessions with handoff notes, and optionally pull second opinions from Codex or Gemini.

Orchestrate autonomous AI agent swarms for the full development lifecycle—brainstorming, multi-agent design reviews, TDD implementation with adversarial review, automated PR management from creation to merge, security audits, and production release coordination.

Run adversarial debates between multiple LLMs to cross-validate code, architecture, reviews, security, research, and planning tasks, producing specialized outputs like code, reviews, or plans.

Generates business intelligence dashboards, infographics, AI images/videos, and automates posting to social media (WeChat, X, Xiaohongshu) with tools for document parsing, Obsidian integration, and browser automation.

Orchestrate cross-agent AI workflows: delegate tasks to peers, request independent implementation plans and code reviews from different AI agent backends, coordinate multi-agent communication via ask/ack and broadcast primitives, and manage repowire installation from within an agent session.

Build and orchestrate GCP data pipelines using natural language — architect dbt, Dataform, Spark, BigQuery, and Cloud Composer workflows, profile and transform data with Dataplex, and query BigQuery, Spanner, AlloyDB, and Cloud SQL databases.

Automate video production from storyboarding to publishing using the videoclaw CLI, with AI-powered image/video generation, TTS audio, and direct uploads to Douyin, Kuaishou, and Google Drive.

Automate local SEO workflows: manage Google Business Profiles, audit citations, monitor reviews, track map pack rankings, generate client reports, and optimize for AI search visibility. Integrates with 10+ data tools via MCP.

Delegate questions to GPT, Gemini, Grok, and OpenRouter for independent second opinions on architecture, code review, security, and planning, with an arbiter-mediated consensus loop that runs until all models agree.

Run an iterative development loop where Claude implements plans and an independent Codex instance reviews each step, enforcing quality through continuous refinement and gated checkpoints.

Trace, evaluate, and improve AI agents with MLflow's full agent improvement loop. Instrument Python and TypeScript code, debug individual traces and multi-turn sessions, search and query aggregated metrics, and evaluate GenAI output quality using MLflow's native APIs.

Run SEO, AEO, and GEO audits, generate structured data and content briefs, and track AI visibility across search engines and LLMs, all from within Claude Code.

Orchestrate multiple CLI-based AI agents (Claude, Cursor, Codex, Gemini) as isolated sub-agents with dedicated context, delegating specialized tasks via natural language from any host AI tool.

Provides 18 universal AI skills for Claude Code, enabling skill creation and optimization, deep multi-source research with citations, strategic planning using business frameworks, content processing (audio/video transcription, document conversion, web scraping), software architecture design with C4 diagrams, and orchestrated multi-step execution with review checkpoints.

Orchestrate multiple AI CLI agents (Codex, Cursor, Gemini, Copilot, Qwen) from a single Claude Code session, delegating research, planning, code review, debugging, and implementation tasks across providers while preserving context.

Run comprehensive SEO workflows directly from Claude: keyword research, content briefs, technical audits, backlink analysis, competitive gap analysis, AI-search optimization, structured data generation, and SE Ranking API integration — all producing finished deliverables.

Run CLI-based audits on UI design images and videos using Gemini AI to evaluate accessibility, WCAG contrast compliance, best practices, object detection, and design consistency.

Run multi-engine AI web searches across Perplexity, Bing, Google, ChatGPT, Gemini, Semantic Scholar, and Bing in parallel, with optional Gemini-powered synthesis and deep research workflows — no API keys required.

Intelligently route AI tasks across 20+ LLM providers (OpenAI, Anthropic, Gemini, Ollama, etc.) using complexity-first model selection to minimize costs while preserving output quality. Automatically classify prompts and dispatch to the cheapest capable model, track cross-session savings, and receive weekly cost digests via Slack/Discord.

Delegate large-context reading, bilingual Chinese/English drafting, and second-opinion review to Google Gemini CLI safely.

Orchestrate multi-model code reviews by running Claude, OpenAI Codex, and Gemini in parallel, then synthesizing their opinions into a consensus verdict with automated setup and cleanup.

Polish Korean text in docs, code comments, and projects by detecting/correcting grammar, spelling, spacing, and punctuation errors; humanizing AI-generated content via 40 linguistic markers for natural style; and enforcing style consistency in tone, terminology, numbers, and formatting.

Perform deep research on videos and web content using Gemini, then automatically generate structured reports, knowledge graphs, and explainer videos with narration and AI-generated visuals.

Orchestrate complex engineering tasks with a cybernetics-based multi-agent pipeline: Planner specs checkpoints, Generator implements via TDD/atomic commits, Evaluator verifies with tiered checks, Retro analyzes failures for CLAUDE.md improvements. Run iterative cross-LLM code reviews with Codex/Gemini peers until consensus on fixes.

Orchestrate multi-platform marketing campaigns from Claude using the Hyper MCP — manage paid ads on Google, Meta, TikTok, Pinterest, Amazon, LinkedIn, plus organic social, SEO research, email outreach, competitor analysis, ad creative generation, and analytics integrations.

Transform an Obsidian vault into an AI-powered second brain with automated journaling, health-metric tracking, knowledge graph generation, and pattern recognition. Sync data from GitHub, Slack, Notion, Gmail, Linear, and wearables, then extract insights and generate content for creators and teams.

Write, edit, and publish complete fiction manuscripts with Claude. Guides novelists through story architecture, character development, chapter outlining, prose drafting, line editing, literary critique, and EPUB ebook generation.

Query Claude, Gemini, and Codex in parallel for a task, then fuse their responses into a single grounded answer that resolves consensus and contradictions. Also supports single-model queries, configuration management, and CLI setup checks.

Orchestrate AI agents as a project manager — define requirements, decompose tasks, run parallel investigations, review code, and manage workflows without writing implementation code yourself.

Route development tasks to optimal AI models across a multi-agent pipeline that covers requirements extraction, implementation, testing, code review, documentation, and release — with consensus voting, context management, and quality gates enforced at every stage.

Automate marketing growth: run technical SEO audits across 148 rules, analyze Search Console data to fix low-CTR pages and cannibalization, build programmatic SEO pages for directories and comparisons, repurpose YouTube videos into LinkedIn posts and newsletters, create converting email sequences, brand-aligned infographics, GIFs, and PPTX case studies.

Automate full SEO marketing pipelines: scout trends/competitors on X/Twitter/Reddit, generate GEO/SEO-optimized multilingual articles with AI illustrations/voice-overs, adapt for 9 social platforms/Shopify, ingest content from YouTube/web/PDF/audio, create branded UGC short videos with lip-sync for Reels/YouTube Shorts, produce PDF lead magnets, and manage article lifecycles via Citedy API.

Run comprehensive SEO audits across technical SEO, content quality (E-E-A-T), schema markup, image optimization, sitemaps, AI search visibility (GEO), local SEO, and backlinks, then generate prioritized action plans and reports using live data from Google Search Console, PageSpeed Insights, and DataForSEO.

Run a multi-LLM discovery pipeline that chains analysis, refinement, and stress-testing across 16 AI personas to explore ideas, validate plans, and break results into actionable tasks. Includes council review, risk analysis, MVP scoping, and code generation via OpenAI, Gemini, and Claude sub-agents.

Run deep, multi-agent code reviews across LLMs (Codex, Gemini, five Claude specialist subagents) in parallel, then synthesize verified fixes for commits, PRs, or branches.

Monitor and optimize local business visibility across AI search platforms like ChatGPT, Gemini, and Google AI Overviews using geo-grid rank tracking, sentiment analysis, competitor landscape analysis, and Google Business Profile performance management.

Manage full Netlify workflows from Claude: deploy sites, configure CDN caching and image optimization, write serverless and edge functions, set up authentication, manage Postgres databases with Drizzle, and route AI model calls through Netlify's proxy.

Conduct adversarial code reviews by dispatching parallel same-model AI subagents that compete on findings via scoring, aggregating issues with worst severity on disagreements. Extend to multi-model reviews across Claude, Codex, Gemini, and others with cross-critiques to detect hallucinations and severity inflation, synthesizing deduplicated reports. Evaluate precision and recall using fixture-based suite.

Query Google NotebookLM notebooks for source-grounded, citation-backed answers powered by Gemini. Manage your notebook library—create, list, rename, delete notebooks and sources—and conduct deep research with automatic follow-ups and artifact generation (audio/video/slides) directly from Claude Code.

Route complex development tasks to the optimal LLM model based on complexity and cost, automatically switching between OpenAI, Anthropic, Ollama, and 20+ providers to minimize Claude API spending while maintaining output quality.

Generate domain-specialized images like banners, ads, YouTube thumbnails, illustrations, logos, product photos, portraits, and web assets via Google Gemini. Uses auto-built prompts, keyword triggers, format/aspect ratio detection, and reference image editing for quick design workflows.

Manage your professional world from Claude Code by building and querying a local SQLite database of contacts, projects, emails, notes, meeting transcripts, decisions, and journal entries. Sync Gmail and Calendar, generate HTML dashboards and briefings, track commitments and get AI-driven relationship insights and nudges — all on your own machine.

Enables Claude Code to collaborate with multiple AI backends (Codex, Gemini, Ollama, Claude) through structured Q&A rallies, second-opinion calls, and iterative refinement rounds. Developers can delegate tasks to backend agents, get feedback loops, and synthesize results across models.

Create and manage AI video production workflows—from creative direction and asset generation to analysis and downloading from social platforms—all through the command line.

Automate BMad Method project workflows including code audits, documentation, release management, issue/PR triage, adversarial reviews, LLM prompt auditing, root cause analysis, and skill publishing to Gemini/ChatGPT.

Create Kurzgesagt-style animated explainer videos from storyboards and analyze US stock SEC filings to generate professional investment reports using AI deep research.

Consult Google's Gemini for second opinions on coding tasks like debugging tricky issues, architecture trade-offs, code reviews, and brainstorming alternatives. Generate images from text prompts, edit existing images, apply style transfers, compose from references, and refine iteratively using Gemini API via Python.

Debug, test, and write cleaner code with a systematic debugging framework, test-first enforcement, testing trophy strategy, and clean code review agent. Also includes linter setup, prompt engineering, creative ideation via verbalized sampling, multi-mode analytical thinking, content analysis, and skill authoring tools.

Streamlines Claude Code development with git automation, documentation audits, command optimization, and implementation plan tracking. Includes agents for verifying completion claims and auditing code quality against project requirements.

Embed a team of 8 AI security agents in your coding workflow to automate Secure SDLC across all phases: elicit security requirements, generate STRIDE threat models, review PRs and code for OWASP/ASVS, scan IaC for misconfigs, map compliance to NIST/SOC2/GDPR, triage vulns, and gate releases with go/no-go decisions. Works in Claude Code, Cursor, Windsurf, or any MCP tool.

Route prompts to multiple LLMs (Claude, Codex, Gemini, Grok, Mistral) from a single interface with session management, parallel reviews, and configurable approval gates for security analysis, code review, and design review workflows.

Integrate Google Gemini CLI into CI/CD pipelines and automation scripts for headless code analysis, review, and validation with configurable models and JSON outputs. Orchestrate Claude-Gemini engineering loops where Claude plans and implements code while Gemini validates and reviews, streamlining complex features, security checks, performance optimization, and large-scale refactors.

Perform structured web research and content extraction: compare alternatives with weighted criteria, verify claims via adversarial search, orchestrate multi-site research, and pin dependencies for version-specific documentation. Integrates with OpenAI, Gemini, and other AI providers for LLM queries and embeddings.

Generate AI presentation decks from markdown or PDF reports using Gemini API. Decompose reports into structured slide JSON, then create images with 26 style presets across categories, 14 aspect ratios, and resolutions up to 4K. Supports batch deck generation and custom preset addition.

Enforce strict code quality standards across your Git workflow — distill PR review feedback into reusable standards, audit maintainability and security before merging, and auto-resolve merge conflicts with validation.

Delegate specialized AI agent tasks—code review, testing, documentation, technical research—to isolated subagents with parallel execution and context separation, while generating structured handoff documents for seamless agent-to-agent or agent-to-human transitions.

Orchestrate Claude, OpenAI Codex, and Google Gemini in configurable feedback loops to validate mission-critical features, complex architectures, security-sensitive code, and conduct multi-AI reviews. Enable triple-AI or dual modes for thorough code quality assurance workflows.

Build production-ready AI agents and multi-agent teams with the Agno framework by creating workflows and MCP integrations, adding tools, memory, debugging, and structured outputs, then deploy them via AgentOS using FastAPI.

Delegate ultra-long context (1M tokens) code analysis, deep reasoning on algorithms/architecture/optimizations, and real-time Google searches for latest framework versions/tech news to Gemini 2.5 Pro via CLI when exceeding Claude limits.

Run AI-guided design thinking sessions: provide user context via guided questions to generate a design brief, explore 5 diverse product ideas with an agent, create high-res UI mockups and prototypes using DALL-E 3 or Gemini, configure image providers, and track usage costs.

Orchestrate multi-model AI coding workflows with prompt management, git worktree isolation, and agent-team coordination for complex multi-step tasks across Claude, Codex, and Gemini.

Generate, edit, and composite images via Claude Code using multiple AI providers (OpenAI, Gemini, Replicate, Grok, fal, Ideogram, PhotoRoom). Configure provider and output directory, then create or modify images through natural language prompts.

Run web searches with caching, content extraction, and validation via Gemini CLI, including analytics and adversarial security checks

Spawn specialized coding subagents—coder, tester, or reviewer—powered by Claude, Codex, Gemini, or Kimi via a unified bash wrapper script. Trigger from Claude Code sessions with /spawn-coding-worker or run directly from CLI, generating session logs and markdown result artifacts for streamlined AI-assisted coding workflows.

Delegate multimodal tasks—image analysis, summarization, code review—from Claude Code to Google Gemini using the /gemini command, while an MCP multiplexer running on Bun dynamically extends available tools, resources, and prompts.

Run marketing, SEO, GBP, PPC, content, and AI-visibility workflows through the SearchAtlas platform, including domain audits, campaign launches, website builds, brand onboarding, and multi-channel posting — all from the command line

Drive autonomous iteration loops for research tasks, generate publication-quality data visualizations and scientific code, fetch arXiv full-text and BibTeX citations, create images via Gemini, and stream text-to-speech.

Persist AI-driven knowledge across coding sessions by capturing decisions, preferences, and context with rationale, then recalling relevant memories based on project directory or topics to maintain continuity and reduce rework. Includes memory audit for duplicates and stale entries, and cloud-restorable encrypted backups.

Initialize a multi-agent AI workspace for Claude Code, Codex CLI, and Gemini CLI with shared AGENTS.md config, CLAUDE.md/GEMINI.md imports, optimized directory structure, and .gitignore separating private/public AI files—enabling seamless multi-tool AI development workflows.

Execute Gemini CLI from Claude Code for code review, architecture analysis, and background task delegation using Gemini's 1M token context window. Also manages lifecycles for TTS and VLM models via Python scripts.

Optimize Chrome DevTools MCP for web testing, page inspection, screenshots, and form automation, reducing token consumption 70-80% with smart text snapshots, targeted screenshots, and optional Gemini Flash vision processing.

Generate publication-quality academic diagrams and statistical plots from descriptions, LaTeX, or Markdown files using a Gemini-powered multi-agent pipeline. It retrieves reference examples, plans detailed specs, renders via Matplotlib or Gemini API, critiques outputs, and refines aesthetics for NeurIPS standards, enabling iterative high-fidelity research visuals.

Track costs, tokens, file changes, and git commits in AI coding sessions using Claude Code, OpenAI, Cursor, and others. Enforce budgets with warnings, check real-time status via CLI commands, and monitor analytics through a local web dashboard.

Convert docs, repos, PDFs, videos, and more into AI-ready skill packages for LLM platforms like Claude, OpenAI, and Gemini, with auto-detection of source types and configurable preset levels.

Orchestrate multi-agent Gemini pipelines for complex coding tasks: scout codebase structure and external docs for context, synthesize per-file architectural plans with user checkpoints, execute parallel implementations with iterative error fixes and code quality checks.

Run one-shot swarm commands using Gemini to parallel-scout codebase and external docs, synthesize XML architectural plans, and execute file implementations with quality checks and auto-fixes. Delivers fast, non-iterative coding tasks without session history or loops.

Submit headless jobs to LLM agents (Claude, Gemini) via Forge's MCP tools, and develop Ethereum smart contracts with Foundry's Forge CLI.

Repeats prompts internally using Google Research's technique to improve LLM accuracy on non-reasoning tasks like multiple-choice, list navigation, and fact retrieval, with automatic intent detection for follow-up actions.

Generate complete CNIPA-compliant Chinese patent applications from technical disclosure DOCX: orchestrate multi-agents to parse input, search prior art via Google Patents/Exa, draft abstract (<300 words)/claims/description (>10k words), create engineering diagrams (PNG), and merge into editable Word docx.

Consult Google Gemini 3 Pro for debugging, code review, architecture advice, and image generation (diagrams, infographics) directly from Claude.

Invoke Google Gemini API directly in Claude workflows to generate text and embeddings for RAG/semantic tasks, analyze multimodal content, create images via Nano Banana, execute function calls, and apply search grounding using curl or REST requests with batch support.

Generate images from text prompts via CLI using Gemini or OpenAI image models, with configurable aspect ratios, resolutions, batch generation, and output formats.

Delegate coding, analysis, reviews, git commits, web research, translations, and automation to isolated external AI CLIs (Claude Code, Gemini, Codex, Chinese models) via slash commands, MCP tools, specialized agents, and skills running in independent processes with custom prompts and env vars.