Tools

Has the agent use Iconify Simple Icons brand marks instead of typed company names in logo rows, integration grids and partner lists, sized in a 64x64 box, monochrome by default, grid-aligned and labeled for accessibility when needed.

Designs or rewrites a single-offer, high-converting landing page for SaaS, apps or services: gathers the primary action, audience, objections and proof, then lays out hero, argument and objection-handling sections with copy templates and SEO/AEO notes.

Gives the agent three exact Tailwind arbitrary-value shadow utilities (sm, md, lg) for layered, neutral elevation on cards, controls, popovers and hero media, with rules against mixing them with default shadows, tinting or stacking.

Turns a fuzzy UI idea into a design-first prompt spec for UI generation: goal, format, layout, type system, color, imagery, exact copy, constraints and negative prompt, then iterates by changing one variable at a time.

General guidance for building UI with Tailwind CSS: responsive and state variants, dark mode, sparing arbitrary values, components before @apply, and pitfalls such as dynamically built class names missing in production, with button and hero examples.

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.

Adds thin vertical guide lines at the content container edges plus small corner squares for a measured, structured layout, with CSS tokens and pseudo-element code that keeps guides behind content and out of pointer events.

Builds seamless infinite marquees for logos, testimonials, screenshots or tags by duplicating the item sequence and translating the track from 0 to -50%, with stable widths, faded edges, optional hover pause and reduced-motion handling.

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.

Open-source AI-native vector design tool with an MCP server built into its desktop app, connectable to Claude Code or Codex in one click. Agents read and edit .op designs in natural language, apply style guides and export React, Vue, Flutter or SwiftUI code. Needs the desktop app.

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.

Uses a Figma plugin and a local WebSocket server so agents can read and directly edit designs: create frames and text, adjust auto layout and styles, and replace copy in bulk. Requires Bun; now maintained by Grab.

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.

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.

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.

Command-line color tool: generate, mix, lighten and darken colors, convert between HEX, RGB, HSL, Lab and more, build gradients and sets of distinct colors, pick readable text colors for a background, and simulate color blindness. Install via Homebrew; no account or API key.

21st.dev's official MCP: lets agents search and fetch UI components, themes and template code from the 21st.dev community, and generate components from a description once AI access is enabled. Absorbs the former Magic MCP; requires a free API key from 21st.dev.

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.

Polishes existing motion against the transitions.dev token scale for duration, distance, scale, blur and easing, matching each value by what the motion does rather than the nearest number, with rules for open/close asymmetry, hover in and out, stagger and intent delays.

In-chat fallback for the transitions.dev Timeline Inspector's Refine button: the agent long-polls a local relay and answers jobs with motion-token tweaks or a full transition recipe swap, and applies accepted changes. Idle polling costs credits, so the persistent CLI mode is preferred.

Live stock and crypto quotes in the terminal with portfolio profit and loss tracking, using Yahoo Finance and Coinbase data. The main view is an interactive dashboard; ticker print exports holdings from your config at current prices as JSON or CSV for scripts and agents.

Language and toolset for double-entry bookkeeping in text files: bean-check validates the ledger, bean-format normalizes it, and Fava or beanquery handle reports and queries. Plain-text ledgers are easy for agents to generate and keep in version control.