Anthropic plugins

Enforces a structured TDD workflow with parallel task execution, code review, and root-cause debugging. Guides brainstorming into validated specs, creates isolated git worktrees for feature branches, and runs verification checkpoints before merging or committing.

Cut ~75% of tokens in Claude Code conversations by speaking like a caveman, compressing memory files, commits, PR reviews, and delegating tasks to specialized subagents for surgical code edits, read-only code location, and diff review.

Orchestrate 1,388 specialized AI skills in Claude Code to automate expert workflows for Azure SDK integrations, Odoo/Shopify configs, SEO audits, security pentests, full-stack scaffolding, agent building, and DevOps pipelines across Python, React, AWS, Kubernetes.

Equip AI coding agents with production engineering skills to handle full dev lifecycles: refine ideas to specs, implement via TDD slices, run tests/debug, perform multi-axis code reviews, optimize perf/security, automate CI/CD, and execute ship checklists.

Build production LLM applications with LangGraph agents, RAG pipelines, hybrid search, and advanced prompt engineering. Automate agent architecture design, vector index optimization, and prompt refinement for deploying reliable AI systems.

Build and evaluate production-grade AI agents using LangGraph, RAG systems, MCP servers, and prompt engineering patterns—with behavioral testing and reliability monitoring.

Accelerate LLM application development with production-ready patterns for context window management, RAG pipelines, prompt caching, observability via Langfuse, and agent architectures.

Upgrade Claude AI integrations by migrating code, prompts, and API calls from Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, automatically updating model strings across Anthropic, AWS Bedrock, GCP Vertex AI, and Azure AI Studio platforms.

Design, build, and deploy MCP servers for Claude by interrogating your use case to select deployment models like remote HTTP, MCPB, or local stdio, implementing tool patterns with auth, adding interactive UI widgets such as forms, pickers, and dashboards for inline chat rendering, and packaging into standalone Node or Python .mcpb bundles for local distribution without user toolchain.

Manage AI-driven development workflows with hierarchical task trees, dependency graphs, automated subtask expansion, PRD-to-task parsing, status tracking, and intelligent task orchestration via natural language commands.

Delegate full-stack development workflows to Claude via 213 specialized agents, commands, and skills: refactor code, generate tests/deployments/Dockerfiles/K8s manifests, audit security/performance, document APIs/onboarding, orchestrate Git ops, and apply patterns across JS/TS/Python/Rust/Go/Java stacks.

Direct AI coding agents to create or update promptfoo evaluation suites with configs, prompts, tests, deterministic assertions, and provider setups following best practices. Streamline LLM eval coverage, regression debugging, and new eval matrix generation in JavaScript or Python projects using OpenAI or Anthropic models.

Automate the full lifecycle of academic research projects from literature discovery and review to experiment analysis, manuscript drafting, and reviewer rebuttals, while also offering code quality checks, git workflow enforcement, and project scaffolding for software development.

Run a complete AI-assisted coding workflow with self-correcting memory, persistent FTS5-indexed research wikis, auto-research loops, multi-LLM council deliberation, and 8 specialized agents that coordinate parallel sessions, enforce quality gates, audit context costs, and capture learnings across every session.

Manages a law school legal clinic workflow: setup, student onboarding, structured client intake, deadline tracking with malpractice-aware warnings, document drafting, case memo scaffolding, research roadmaps, client correspondence, status summaries, supervisor review queues, and semester-end case handoffs — all within ABA Formal Op. 512 guidelines.

Debug and fine-tune language models using the Tinker API: diagnose training pipeline issues, replicate research papers, run RL/SFT/DPO experiments, and monitor training logs—all from the command line.

Automate complex browser workflows from natural language commands — navigate websites, extract data, fill forms, and run AI-powered UI tests, all without writing code.

Build and orchestrate advanced Claude Code agentic workflows by creating meta-prompts, subagents, hooks, MCP servers, slash commands, and skills; execute hierarchical plans, run autonomous coding loops, apply expert debugging and productivity frameworks like 5 Whys or Eisenhower Matrix, and audit components for compliance and quality.

Run a complete AI-assisted software development workflow inside Claude Code: structured planning, context engineering, milestone management, code review, automated testing, and documentation — all governed by spec-driven and meta-prompting principles.

Orchestrate multi-agent AI systems with AI SDK v5 for task decomposition, handoffs, routing, and coordination across OpenAI, Anthropic, and Google providers. Use commands to initialize projects, generate specialized agents with custom prompts and tools, test workflows with metrics, and deploy orchestrator agents for complex task handling in TypeScript.

Detect and rewrite AI-generated Korean text to sound human-written, using a multi-phase pipeline that scans for 40+ AI-typical patterns across 10 categories, preserves content, and validates semantic equivalence.

Build production-grade LLM gateways with OpenRouter: route requests across 400+ models by task or criteria, chain fallbacks for reliability, cache responses to cut costs/latency, monitor usage/costs/latency, redact PII for compliance, and benchmark performance using Python OpenAI SDK wrappers.

Optimize LLM prompts for OpenAI and Anthropic by automatically detecting redundancy, simplifying instructions, and rewriting to reduce token usage, lower costs, and improve performance.

Monitor usage limits, reset times, and cost across multiple AI CLIs (Claude, Codex, Gemini, z.ai) from a unified terminal dashboard, with automatic recommendations for the CLI with most available capacity

Accelerate Atomic Agents app development through a guided 7-phase workflow: delegate schema design, agent and tool creation, architecture planning, codebase analysis, and code review to specialized AI sub-agents for scalable multi-agent LLM systems.

Create and validate production-grade Claude Code skills per AgentSkills.io 2026 spec and 100-point rubric, plus Anthropic agent .md files matching 16-field 2026 standard. Audit existing skills/agents or build custom subagents for orchestrators and marketplace submission.

Master Cursor IDE AI workflows using 30 guided skills: install and authenticate, configure custom models and rules, optimize indexing and performance, automate Composer for multi-file refactoring and scaffolding, troubleshoot errors, manage teams with SSO, and audit compliance.

Rapidly build, debug, deploy, secure, monitor, and scale Lindy AI agents and multi-step workflows using 24 Claude Code skills that guide webhook integrations, CI/CD pipelines, error troubleshooting, cost/performance tuning, enterprise RBAC, and migrations from Zapier, n8n, or LangChain.

Run SQL queries and perform multi-format data wrangling on CSV, TSV, Excel, JSONL, and Parquet files using qsv's 51 skill-based commands. Profile, clean, validate, join, convert, and chart tabular data with reproducibility logging and ontology inference.

Audit GitHub Actions workflows to detect security vulnerabilities in AI agent integrations like Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Identify prompt injection risks and unsafe input flows in CI/CD pipelines before deployment.

Integrate TwinMind AI to automate meeting transcription with speaker diarization, generate AI summaries and action items, sync tasks to Asana/Linear/Jira, handle webhooks/events, optimize costs/performance, configure security/RBAC, deploy to CI/CD/prod environments, and troubleshoot/migrate setups.

Execute 80+ bioinformatics analysis workflows for pharmacogenomics, ancestry, single-cell RNA-seq, metagenomics, and variant annotation via natural language or CLI commands, with deterministic Python execution, local-first privacy, and reproducible output bundles.

Log AI experiments interactively from the terminal by capturing tool usage, prompts, summaries, and ratings. Generate reports with stats, top tools, rating distributions, tags, and filters by tool, tag, days, or rating. Search experiments by query, tool, tag, rating, or date with sorting and stats display.

Query multiple AI agents (Gemini, OpenAI, Grok, Perplexity, Claude) in parallel for diverse perspectives on architecture decisions, technology choices, and debugging dead-ends, then receive a structured synthesis of consensus, divergence, and recommendations.

Delegate complex AI and data tasks to specialized agents that proactively build LLM applications with RAG and orchestration, design scalable ETL pipelines and warehouses, deploy MLOps workflows, optimize prompts, analyze datasets, manage context, and decompose goals into actionable hierarchies.

Develop and manage end-to-end Databricks workflows: data engineering with Spark, Delta, Iceberg, and streaming; build and deploy ML models and GenAI agents; create dashboards, apps, and CI/CD bundles; query Unity Catalog and manage infrastructure via SDK/CLI operations.

Analyze AI prompts for clarity, specificity, completeness, and issues with 1-10 scores and targeted fixes, then optimize by rewriting with structured best practices like sectioning, examples, chain-of-thought, and guardrails for superior LLM results.

Generate test fixtures that mock LLM responses, tool calls, errors, multi-turn loops, embeddings, and structured output across multiple AI providers for use with Copilot Kit's aimock library.

Refine rough prompts into precision-optimized versions for ChatGPT, Claude, and Gemini using the 4-D methodology. Receive the polished prompt, a summary of improvements made, and targeted tips to enhance future prompting.

Build and deploy AI agents to trade crypto, stocks, forex, and derivatives on Kraken via bash CLI: monitor markets, execute strategies like DCA, grid bots, basis trades, portfolio rebalancing; manage risks, staking, subaccounts with paper trading default and live opt-in safeguards. Integrates with Claude, Cursor, VSCode for stdio tool calls.

Orchestrate autonomous multi-agent development cycles: plan, execute, evaluate, and fix code with parallel worker agents, board of directors deliberation, and TDD enforcement—all managed via an Evaluate-Loop workflow.

Execute end-to-end feature development via phased AI waves—DISCOVER products with JTBD interviews, DISCUSS requirements and UX journeys, DESIGN architectures with C4 diagrams, DEVOPS infrastructure with Terraform/K8s, DISTILL BDD tests, DELIVER TDD code—enforced by 23 agents, automated reviews, and quality gates for production-ready outputs.

Switch between normal and compressed Thai+English communication mode in Claude Code to reduce token costs by 60-75% while maintaining technical accuracy, with real-time token usage tracking

Apply 39 research-backed thinking frameworks and mental models directly in your debugging, planning, estimating, and decision-making workflows—from systems archetypes and Bayesian reasoning to pre-mortems and first principles—so you systematically avoid cognitive biases, surface root causes, and choose higher-leverage actions without leaving the chat.

Rapidly implement production-ready AI/ML features in apps: integrate LLMs with prompt engineering and response handling, build ML pipelines for recommendation systems, add computer vision for visual search, and enable intelligent automation using OpenAI, Anthropic, LangChain, Hugging Face, or Ollama.

Build, deploy, and operate AI agents on AWS with Amazon Bedrock AgentCore — scaffold projects, connect tools via Gateway, debug failures, deploy with rollbacks, enforce security, and evaluate agent quality.

Build, configure, and deploy AI agents using the Motus framework through guided editor commands. Define ReAct agents with custom tools, workflows, persistent memory, and guardrails, then serve them locally or to cloud platforms.

Build, audit, and optimize Claude Code plugins using structured workflows for skill/hook authoring, TDD validation, quality scoring, security compliance, and performance analysis across plugin, project, and global scopes.

Rapidly implement production-ready AI/ML features in apps: integrate LLMs via prompt engineering and response handling, build ML pipelines for user behavior-based recommendations, add computer vision for photo-based product search, and deploy intelligent automations.

Refine rough prompts for AI platforms like ChatGPT, Claude, and Gemini into precision-optimized versions using the 4-D methodology, receiving the polished prompt, an improvements summary, and actionable tips.

Delegate image analysis, OCR text extraction, barcode/QR detection, and document processing to a vision expert agent using latest models like GPT-4V, Claude Vision, Mistral-OCR, Tesseract, and EasyOCR for efficient visual AI workflows.

Let agency and in-house teams orchestrate full digital marketing workflows via Claude Code — campaign planning, SEO audits, ad management, content creation, competitor intelligence, AEO/GEO optimization, brand compliance, and multi-client portfolio reporting across 25 specialized agents and 158 skills.

Refine product specifications iteratively through debates between multiple LLMs including Claude, OpenAI, Gemini, and Grok until consensus is reached. Activate interview mode for guided refinement, verify early agreements, and optionally integrate with Telegram for notifications.

Estimate per-turn token costs for .claude/ configurations and CLAUDE.md files, classifying components as always-loaded, path-scoped, or invoked-only, ranking top contributors, flagging overruns, and fetching exact counts via Anthropic API to optimize Claude context budgets.

Build, deploy, and manage full-stack applications on Vercel with AI features, serverless functions, storage, authentication, and CI/CD pipelines, plus agent-driven troubleshooting and performance optimization.

Automate desktop GUI workflows using Claude's Computer Use API: capture screenshots, control mouse and keyboard inputs, and run autonomous agent loops for tasks like form filling, visual app interactions, and GUI testing without CLI access.

Optimize Claude Code sessions by detecting/removing codebase bloat, dead code, and AI-generated hygiene issues; manage token budgets/context windows with MECW principles and subagent delegation; monitor CPU/GPU usage before intensive tasks; automate safe git-backed cleanups and audits.

Rapidly implement production-ready AI/ML features in apps, including LLM integrations with prompt engineering, ML pipelines for recommendations, computer vision for visual search, and intelligent automation, using a specialized agent.

Build RAG pipelines for document Q&A and chatbots by chunking large docs, generating embeddings, storing in vector DBs, and retrieving context to reduce hallucinations. Engineer and optimize LLM prompts using chain-of-thought, few-shot examples, constitutional AI, meta-prompting, and validation workflows.

Reduces token costs in Claude Code by activating ultra-compressed communication modes, slashing ~75% of token usage while preserving technical accuracy for commits, PR reviews, memory files, and subagent delegation. Tracks session savings in real-time with /genshijin-stats.

Build, debug, and manage durable LLM-powered workflows using the Output SDK — scaffold projects, define steps with Zod schemas, run and monitor executions via CLI, evaluate quality, and encrypt credentials. Includes AI-assisted planning, prompt engineering, and infrastructure verification for Temporal-based workflow development.

Assemble science-backed AI agent teams by decomposing complex missions into blueprints with topologies and roles, creating domain-specialized agents and skills, curating libraries for duplicates and quality, researching evidence-based briefs, and enforcing quality gates via structured reviews and verifications.

Monitor Claude Code session costs and efficiency in real-time like htop, with breakdowns by git branch or PR, model pricing comparisons, spending analytics for custom periods, interactive web dashboard for trends and history, budget alerts, and CSV/JSON exports.

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.

Conduct comprehensive security audits and incident response across cloud, API, mobile, and AI systems with pre-built skills for compliance, threat modeling, and red teaming.

Orchestrates AI-assisted development workflows with persistent session context, a project knowledge graph, and automated quality detection. Generates code, tests, API endpoints, and database migrations; manages task documentation and SOPs; and monitors token efficiency.

Track and improve AI collaboration skills in Claude Code by converting session logs to Markdown, generating growth reports scored on 6 axes (DECOMP/VERIFY/ORCH/FAIL/CTX/META) across 7 levels (0.5 increments) and 4 workspace types (Builder/Explorer/Designer/Operator), with mentoring in 4 modes, setup guidance, and longitudinal progress reviews.

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.

Orchestrate full SDLC lifecycle phases from Inception through Transition using 58 AI agents and 170+ components to automate requirements, architecture evolution, testing orchestration, security gates, deployments, incident response, and project reporting via workflows, phase transitions, and quality checks.

Orchestrate persistent Claude Code agents across multiple communication channels (Telegram, WhatsApp, Discord, Gmail, X/Twitter), route messages, manage SWE tasks, and extend capabilities with custom skills, memory search, voice transcription, and PDF processing.

Run a solo-founder business with AI agents: manage strategy, product, engineering, and operations through GitHub issues, weekly planning/retros, PRDs, roadmap prioritization, competitor analysis, meeting copilot, and media production — all from Claude Code.

Transform WPS Notes into a personal knowledge engine for long-form creative and academic writing. Automates memory retrieval, idea connection, insight generation, structured note-taking from any source (URLs, PDFs, images, audio transcripts), and multi-platform content formatting.

Delegate advanced image analysis workflows to expert vision AI subagents that perform OCR with Tesseract/EasyOCR, barcode/QR detection, document processing, and optimization using cutting-edge models like GPT-4V, Claude Vision, and Mistral-OCR.

Automate full-stack development cycles: interview to generate executable PRDs, research codebase gaps, spawn agents to execute tasks/tests/docs in isolated git worktrees, iterate Greptile PR reviews until passing, and merge to main with health checks.

Generate synthetic datasets for LLM training using sdg_hub's composable blocks and YAML-defined flows, with support for 100+ LLM providers and custom scripts.

Spawn a configurable AI council of perspectives like User Advocate, Architect, and Skeptic to analyze questions, plans, or ideas from multiple angles in parallel, generating structured reports with synthesized verdicts, key tensions, and recommendations.

Persist and semantically search Claude AI conversation history across sessions and projects. Automatically detect continuity, predictively inject relevant context via hooks and tools, using a zero-dependency local embeddings server for instant retrieval without APIs or Docker.

Refine rough prompts into precision-crafted versions optimized for AI platforms like ChatGPT, Claude, and Gemini using the 4-D methodology. Instantly get the improved prompt, a summary of enhancements, and practical tips to boost AI response quality in your workflows.

Exposes 200+ third-party API connectors (Salesforce, HubSpot, GitHub, Slack, Stripe, Jira, Notion, Intercom, Zendesk, and more) as strongly typed, documented tools so AI agents can call them via PydanticAI or the Anthropic/Claude SDK

Enforce architectural principles with feature-layer project knowledge as a navigable tree, scaffold new layers and feature narratives, and orchestrate multi-agent code reviews, pixel-art quality audits, and long-running AI workflows with safety hooks and session recovery.

Persists Claude Code sessions with behavioral learning and safety guardrails — recalls past conversations, flags positive/negative interaction patterns, reinforces relational dynamics from chat history, and blocks unsafe file writes via prompt and workflow checks.

Orchestrate parallel Claude Code worker sessions via tmux, launching agents to handle subtasks concurrently, then monitoring their progress and collecting results

Enforce a structured development workflow from ideation to code review: transform vague ideas into design docs and task lists, verify implementations against specs, review code for SOLID violations and security risks, and maintain documentation with ADRs and updated ARCHITECTURE.md.

Smith is a Spec-driven development harness for Claude Code with persistent memory, overnight batch builds, model routing, and agency operations tooling.

Index project documentation, codebases, and knowledge graphs for hybrid retrieval: BM25 keywords, semantic similarity, GraphRAG relationships, or fused multi-mode search. Retrieve cited chunks with scores to research dependencies, errors, and concepts in seconds using Ollama, OpenAI, or Anthropic.

Toggle Research Mode in Claude Code to enforce anti-hallucination safeguards: all responses require citations from local files or web searches, must ground claims in verified sources, and admit 'I don't know' for uncertainties. Persists across sessions until manually exited, with optional topic focus.

Consult Gemini 2.5 Pro, OpenAI Codex, and Claude for second opinions on debugging failures, architectural decisions, security validation, and code reviews. Assess coding problems to recommend and route to the best AI, gather repo context via git and files, invoke via CLI or subagents, and synthesize multi-AI analysis into actionable insights.

Build provider-agnostic, type-safe streaming LLM chats with tools, agent loops, and multimodal support directly in React and Next.js apps using hooks like useChat, compatible with OpenAI, Anthropic, Gemini, Ollama.

Orchestrate self-hosted AI agents via Station CLI to create agents, run tasks with 55+ MCP tools, manage environments, deploy teams, configure providers and backends through browser UI or CLI, and monitor executions with OpenTelemetry telemetry.

Regenerate AIWG context files for Claude, Copilot, Cursor, Warp; scaffold agents, commands, skills, frameworks; manage workspaces with pruning, realignment, health checks; enforce @-mention traceability, validation, and linting; automate git commits, Docker/K8s deploys in agentic SDLC workflows.

Generate, modify, and style schema-driven React components from natural language prompts using Thesys AI. Outputs type-safe TypeScript code ready for Vite, Next.js, or Cloudflare Workers deployment.

Onboard new Claude Code users, audit project lifecycle coverage, migrate configs from other AI coding tools, and track feature usage with gamified stats and a visual dashboard.

Equip Claude Code with 24 domain-specific skills to architect scalable Anthropic AI systems, engineer prompts for LLMs, generate HIG-compliant SwiftUI components, extract engineer expertise from GitHub, manage Git worktrees, optimize database queries, plan QA tests and product launches, and create interactive educational playgrounds.

Orchestrates parallel subagent workflows with git automation, TDD enforcement, PR creation, and structured planning via Ralph Loop infrastructure for multi-step autonomous execution.

Run regression testing for AI agents by capturing golden baselines of agent interactions and auto-detecting behavioral regressions after code, prompt, or model changes. Includes watch mode for live scorecard updates and MCP integration with OpenAI and Anthropic APIs.

Design, scaffold, build, benchmark, evaluate, review, evolve, and publish production-grade Claude Code agent skills following the Agent Skills open standard, using specialized sub-skills and agents for full lifecycle management from planning to cross-platform conversion and GitHub deployment.