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Orchestrates multi-agent teams using Claude Code's experimental Agent Teams feature: parallel multi-angle code review, competing-hypothesis debugging and feature work split by file ownership. Enable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS first.

MLOps plugin from the wshobson/agents marketplace: data scientist, ML engineer and MLOps engineer subagents and a /ml-pipeline command that runs the pipeline in phases from data analysis and training to deployment and monitoring, plus ML pipeline and recommender system skills.

Python 3.12+ development plugin with python-pro, django-pro and fastapi-pro subagents, a project scaffolding command, and 16 skills on async, type safety, testing, packaging, uv and more. Part of the wshobson/agents marketplace.

Business analytics plugin from the wshobson/agents marketplace: KPI dashboard design and data storytelling skills plus a business analyst subagent to choose metrics, plan dashboard layouts and turn data into reports executives or investors understand. Methods and templates only; no data connections.

JS/TS development plugin with javascript-pro and typescript-pro subagents, a TypeScript project scaffolding command, and 4 skills on modern JavaScript, advanced TypeScript types, Node.js backends and JS testing. Part of the wshobson/agents marketplace.

Kubernetes operations plugin from the wshobson/agents marketplace: a kubernetes-architect subagent plus four skills for manifest generation, Helm chart scaffolding, GitOps workflows and security policies. Community-maintained.

Security plugin from the wshobson/agents marketplace: commands for SAST, dependency vulnerability scanning and hardening, security auditor and threat modeling subagents, and threat analysis skills such as STRIDE and attack trees.

Startup business analysis plugin with 5 skills, 3 commands and a subagent: TAM/SAM/SOM market sizing, 3-5 year financial models, team and compensation planning and competitive landscape analysis, producing investor-ready business case documents.

Multi-host plugin marketplace with 90+ single-purpose plugins, 200+ subagents and 180+ skills covering language-specific development, ops, security, data and multi-agent orchestration. Installing a plugin loads only that plugin's content.

Backend development plugin with 8 subagents for backend architecture, GraphQL, event sourcing, Temporal, TDD orchestration and more, a feature development command, and 9 skills on API design, microservices, CQRS, sagas and more. Part of the wshobson/agents marketplace.

Plugin for building LLM apps: LangGraph agents with memory and tool use, hybrid-search RAG, vector index tuning, prompt optimization and LLM evaluation. Includes 3 subagents and 8 skills.

Quant trading plugin from the wshobson/agents marketplace: quant analyst and risk manager subagents plus backtesting and risk metrics skills for strategy backtests, portfolio optimization and risk measures like VaR, Sharpe ratio and max drawdown. Needs local Python; not investment advice.

Test-driven development plugin: /tdd-workflows:tdd-cycle and related commands move through red-green-refactor phases with a checkpoint for approval at each, plus TDD orchestrator and code reviewer subagents. Part of the wshobson/agents marketplace.

Release automation for iOS and Android: lanes orchestrate builds, code signing management, screenshot generation and uploads to the App Store and Google Play, and agents can call a project's existing lanes directly.

The 180+ skills bundled with the 90+ plugins in the wshobson/agents marketplace, covering development across many languages and frameworks, testing, ops, security, data and LLM apps. Install individually with npx skills or gh skill; skills only, without subagents or commands.

Headless browser written from scratch in Zig for AI agents and automation, using less memory and running faster than headless Chrome in official benchmarks. fetch turns pages into Markdown, and it can serve CDP or MCP. Telemetry is on by default (an env var disables it); Windows needs WSL.

Official Anthropic skill for cleaning messy Excel exports: trims spaces, standardizes case and dates, converts text numbers, dedupes, and flags mixed types, garbled text and errors. Keeps originals via helper-column formulas and confirms each step. Works in Claude for Excel; local files need Python.

Community collection under GitHub's official org: Copilot custom agents, instructions, skills, hooks and plugins. It's also the default plugin marketplace in Copilot CLI and VS Code; install with copilot plugin install. Content is third-party, so review before installing.

Meeting minutes skill from GitHub's awesome-copilot: turns notes, transcripts or speech-to-text output into structured minutes with attendees, agenda, decisions and action items with owners and due dates, asking when details are missing. Best for internal meetings under an hour.

Writes product requirement docs for software and AI features: first asks about the problem, success metrics and constraints, then outputs an executive summary, user stories, technical specs and risk analysis with measurable requirements. From GitHub's awesome-copilot community library.

Drafts self-reviews, peer reviews, 360 and upward feedback in STAR structure with concrete examples instead of filler, as Markdown drafts it never submits. With Microsoft WorkIQ it gathers your contributions from Microsoft 365 mail and meetings; otherwise it works from your notes.

Community collection maintained under GitHub's official org with hundreds of skills following the Agent Skills spec, plus custom agents, instructions and plugins across many languages, frameworks and workflows. Content is third-party; install single skills with gh skills install.

Community skill collection in GitHub's official repo: 400+ skills following the Agent Skills spec, covering codebase onboarding, testing, cloud and DevOps, agent security and more. Install individual skills with gh skills install.

Turns a new epic idea into a PRD: problem and goals, personas, user journeys, functional and non-functional requirements, success metrics and out-of-scope items, asking questions when information is missing, saved as Markdown. From GitHub's awesome-copilot collection.