Create and configure embedded playgrounds using createPlayground(), EmbedOptions, container setup, loading modes (eager/lazy/click), and appUrl for self-hosted instances. Load this skill when embedding LiveCodes in web pages, configuring playground containers, or setting up SDK integration.

Import npm, deno.land/x, jsr, and GitHub modules without build steps using automatic CDN resolution, custom import maps, and CDN provider prefixes. Load this skill when using bare module imports, configuring CDN providers, or resolving import conflicts.

Integrate LiveCodes with documentation sites using remark-livecodes, markdown-it-livecodes, gatsby-remark-livecodes, or marked-livecodes for Docusaurus, Astro, VitePress, Next.js, and Storybook.

Work with 90+ supported languages, compilers, CSS processors, and WASM-compiled languages for markup, style, and script editors. Load this skill when configuring languages, setting up CSS processors, or working with WASM-based languages like Python, Ruby, or Go.

Import code from GitHub gists/files/repos, GitLab, URLs, DOM, and local files. Export projects as HTML, JSON, ZIP, or to external services. Load this skill when loading projects from external sources or exporting project state.

Run playground without visible UI using SDK methods directly. Load this skill when building Markdown compilers, code formatters, or tools that need compiled output without display.

Use the "Preview in LiveCodes" GitHub Action to generate preview playground links for pull request code changes. Automates playground creation and PR comments.

Quick start for standalone app at livecodes.io, embedding playgrounds with CDN or npm, and self-hosting basics. Load this skill for initial setup and basic usage patterns.

Use SDK with React, Vue, Svelte, Solid, Preact, and Web Components. sdkReady callback pattern, reactive props, and framework-specific setup. Load this skill when embedding LiveCodes in a framework application.

Configure how the playground is displayed: full, focus, simple, lite, editor, codeblock, and result modes. Load this skill when choosing display mode for embeddings, configuring read-only views, or showing only result or editor.

Configure playground behavior through Config object, query parameters, EmbedOptions, editor settings, processors, external resources, and custom settings. Load this skill when setting up project content, configuring CSS processors, or customizing display.

Use when pull request review comments, requested changes, or reviewer questions need to be investigated, addressed, or answered.

Use when a non-trivial code change is substantially complete and needs a final diff audit, documentation check, verification record, or pull request description.

Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).

Create, track, and read team goals + KPIs via Hivemind from openclaw. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

Create, track and update team goals + KPIs in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).