dot-agents

Create video compositions with Editframe using HTML web components or React. Supports video, audio, images, text, captions, transitions, and cloud rendering.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web.

Render inline interactive visuals — SVG diagrams, HTML widgets, charts, and explainers — directly in the conversation. Use this skill whenever the user asks to visualize, diagram, chart, illustrate, or explain something visually, or when an explanation would genuinely benefit from a spatial/interactive diagram rather than text. Also triggers for: flowcharts, architecture diagrams, data visualizations, interactive explainers, comparison layouts, UI mockups, and any request containing 'show me', 'draw', 'map out', 'visualize', or 'diagram'. Even when the user doesn't explicitly ask for a visual, use this skill proactively when the topic has spatial, sequential, or systemic relationships that a diagram would clarify better than prose.

Audit a repo's tooling for coding agent self-verification. Use when the user wants to audit agent tooling, mentions "agent-dx", "agent developer experience", "what testing tools do I need", "set up verification for agents", "how can agents test this", or when onboarding to a new codebase and want to know what verification tools are missing.

Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you're designing a CLI spec (before implementation) or refactoring an existing CLI's surface area for consistency, composability, and discoverability.

Syncs coding agent config files so AGENTS.md is source of truth and CLAUDE.md/instructions.md are symlinks. Ensures skills and commands are shared across Claude, Codex, Cursor, and opencode. Use when adding skills, commands, or modifying agent config.

Track personal productivity across GitHub and coding agents. Generates a web dashboard with contribution metrics, repo creation trends, and agent session history. Use when the user wants to analyze their coding output or review past agent conversations.

Learn from any GitHub repo with generated walkthroughs. Clones repos locally, creates markdown explanations with code snippets, and opens in Cursor at specific lines. Triggers on GitHub URLs with questions, "how does X implement...", "explain the code in...", "analyze this repo".

Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search <query>` to find icons, `better-icons get <id>` to get SVG. Also available as MCP server for AI agents.

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern