Tools

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.

Data engineering plugin from the wshobson/agents marketplace: a data engineer subagent, a data pipeline command, and skills for Airflow DAGs, dbt transformations, Spark tuning and data quality, to help build ETL and data warehouses.

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.

Context-driven development plugin: first captures product vision, tech stack and workflow docs, then generates a spec and phased plan for each feature, executes with TDD and supports per-task rollback. Ported from Google's Conductor for Gemini CLI.

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.

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.

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.

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.

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.

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.

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.

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.

Cross-platform shell built around structured data: pipelines pass tables instead of plain text, and you can open and query JSON, CSV, TOML and more directly. Default builds include nu --mcp, which serves it to agents as an MCP server.

Send files and folders between any two computers with one command: end-to-end encryption (PAKE), direct peer-to-peer with relay fallback, resumable transfers and proxy support, with no server setup or port forwarding.

Converts PDFs, images, PPTX, DOCX, XLSX, EPUB and more into Markdown, JSON or HTML, preserving tables, formulas and layout, with optional LLM help for higher accuracy. Needs Python 3.10+ and PyTorch; large-scale commercial use of the model weights needs a paid license.

Multi-agent orchestration plugin for Claude Code: /team coordinates subagents through a staged plan, requirements, execution, verification and fix pipeline, /autopilot drives tasks autonomously, and it can dispatch Codex, Gemini and other CLIs in tmux to work in parallel.

PostHog's official hosted MCP: lets agents query product analytics with HogQL, manage feature flags and A/B experiments, and investigate errors and session replays. Sign in to PostHog to authorize; tool calls are free, though a few LLM-powered tools count toward AI usage.

A smarter cd that remembers your directories, ranking them by frequency and recency so you can jump with a fragment of the name. Add zoxide init to your shell config after installing.

Static analysis for shell scripts: flags syntax errors and common bash/sh pitfalls such as quoting and variable expansion, with suggested fixes. Good for checking agent-generated scripts and easy to add to CI.

ByteDance's open-source multimodal agent CLI: operates browsers via vision or the DOM and calls terminal, file and MCP tools to complete tasks, with a Web UI and headless server mode. Needs Node.js 22+ and a model API key.

Browser automation MCP server open-sourced by ByteDance in the UI-TARS-desktop repo: drives pages through Puppeteer accessibility data with an optional vision mode, running locally over stdio or remotely over SSE or Streamable HTTP.

All-in-one security scanner for container images, filesystems, Git repos and Kubernetes clusters: finds known vulnerabilities, IaC misconfigurations, leaked secrets and software licenses, and generates SBOMs. Open source, maintained by Aqua Security.

Package manager for the open Agent Skills ecosystem: one command installs skills from GitHub and other sources into Claude Code, Codex, Cursor and dozens more agents, with search, update and removal. From Vercel Labs.

When a user asks whether a skill exists for some task, searches the skills.sh ecosystem with the skills CLI, then recommends and installs a fit. Maintained by Vercel Labs and shipped in the skills CLI repo.