ツール

OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.

OpenAI's official Codex plugin for Microsoft Teams: summarizes chats and channel messages, pulls out action items, and drafts channel replies or meeting follow-ups. Requires signing in to Codex with ChatGPT and authorizing a Microsoft account.

OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.

Command-line email client supporting IMAP, SMTP, JMAP, Gmail and Microsoft Graph, with multiple accounts and --json output, so agents can check, search, compose and send mail. A first-run wizard auto-detects your mailbox settings.

Turns articles, reports, papers or notes into a .pptx of full-slide images with speaker notes, in 12 styles such as lectures and thesis defenses; slide text is not editable. Needs Python 3; uses Codex's built-in image generation, or an OpenAI-compatible image API key in Claude Code.

A more intuitive find-and-replace tool than sed: uses JavaScript/Python-style regex syntax, supports literal string mode and in-place file edits, which suits agents doing bulk text rewrites.

Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.

Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.

Python library and CLI for extracting main web content: fetches pages, crawls via sitemaps and RSS feeds, strips headers, footers and other noise, and outputs TXT, Markdown, JSON, XML and more with metadata. Also processes downloaded HTML offline.

Anthropic's official OS-level sandbox CLI: restricts file and network access for agents, MCP servers and any command without containers, using sandbox-exec on macOS and bubblewrap on Linux. Currently a research preview.

Static security analysis for CI/CD config: finds template injection, credential leaks, excessive permissions and more in GitHub Actions workflows, also covers Dependabot and pre-commit configs, and auto-fixes some findings.

14 n8n workflow skills: expression syntax, MCP tool usage, node configuration, validation and troubleshooting, Code nodes, AI Agent workflows and self-hosted n8n deployment. Meant to be used with the n8n-mcp server.

14 skills plus a hook-based reminder layer for use with n8n-mcp: teaches agents to write correct n8n expressions, configure nodes, apply workflow patterns, fix validation errors and deploy self-hosted n8n. Requires n8n-mcp to be set up first.

Generates template-driven charts as single-file HTML: picks a chart from real Lupi, Basics, Glance, Maps and Interactive gallery implementations based on data shape, or fills one of 12 Chinese and English report templates. Defaults to Mono grayscale with semantic color presets. Written in Chinese.

Veteran suite of CSV command-line tools: in2csv converts Excel and JSON to CSV, csvcut, csvgrep and csvsort filter and sort, csvstat computes statistics, and csvsql runs SQL directly against CSV files.

Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

Veteran command-line task manager with projects, tags, priorities, due dates and custom reports, JSON export, and a rich ecosystem of hooks and extensions, well suited for agents that record and track tasks.

Posit's open-source scientific and technical publishing system built on Pandoc: embed Python, R or Julia code in Markdown or Jupyter notebooks, then quarto render produces HTML, PDF, Word, slides, websites and books.

Docker's official CLI for building images, running and managing containers, viewing logs and pushing to registries, a foundational tool for agents setting up isolated environments. Needs a local or remote Docker Engine such as Docker Desktop.

Classic plain-text double-entry accounting CLI: entries live in a text file and it produces balance, register, budget and other reports directly, with no database or hidden state, so agents can easily read and write ledgers, reconcile and report.

Community-maintained MCP for Jira and Confluence: search with JQL/CQL and create or update issues, pages and comments. Supports both Cloud and Server/Data Center deployments; needs an API token or personal access token.

Reference for pnpm 12: CLI, pnpm-workspace.yaml settings, monorepo workspaces, catalogs, overrides, patches, supply-chain settings such as build approval, task orchestration, CI setup and migration from npm, Yarn or older pnpm. Generated by Anthony Fu from the official docs.