multiplex-ai

Run a real-browser end-to-end (E2E) acceptance test against localhost to verify a feature works correctly — signup flows, checkout, form validation, UI interactions, or any user-facing behavior. Launches a browser that executes test steps and captures screenshots. Use this skill whenever the user asks to test, validate, or verify their web app, UI changes, user flows, or frontend behavior on localhost or a dev server — even if they don't mention 'muggle' or 'E2E' explicitly.

Run change-driven E2E acceptance testing using Muggle AI — detect the user's recent code changes (local diff or a PR), map them to affected user flows, then run real-browser acceptance tests on localhost or a deployed preview/staging URL, publish results to the dashboard, and post a screenshot summary to the PR. Use this whenever the user wants to test, validate, check, or regression-test their own changes or work — 'test my changes', 'validate my changes', 'regression test my work', 'make sure I didn't break anything', 'did my recent commits/changes break anything or any user flows?', 'test before I push' — and especially as the acceptance-test gate before opening a pull request or merging (e.g. 'validate my changes before I open the PR' means run the acceptance suite, not just a completion checklist). The defining signal is change-driven validation of in-progress work tied to a commit, push, PR, or merge. For testing one specific named feature/flow use muggle-test-feature-local; this is not importing existi

Unified Muggle AI workflow entry point. Use when user types muggle do or asks for autonomous implementation to PR. Also handles the `address-reviews` directive (dispatched by the muggle-pr-followup watcher when new submitted reviews land on a PR).

View, set, or reset Muggle AI preferences that control testing behavior. Use when user asks to see preferences, change a setting, configure Muggle Test defaults, or manage muggle config. Triggers on: 'muggle preferences', 'show muggle settings', 'change muggle preference', 'set autoLogin to always', 'muggle config', 'reset muggle preferences', 'show my muggle settings', 'configure muggle', 'muggle setup'.

Use this skill when the user wants a pull request's incoming review feedback handled for them — it watches one PR's review thread and, each time a reviewer submits new comments, dispatches the work to address them. Engage on PR-review-follow-up intent: "watch my PR and address review comments as they come in", "keep an eye on PR #123 and respond to reviewer feedback", "follow up on my PR's reviews", "babysit my PR's review thread", "auto-handle reviews on the PR I just opened", "I'm stepping away — handle my PR's reviews while I'm gone". Run with no args to track every PR you pushed this session (any repo); pass a PR URL to start watching a specific one. This is PR-review-specific automation: when the recurring thing the user wants handled is a PR's review comments, use this — not the generic `loop` skill. It only watches and dispatches; the actual edits and replies are `muggle-do`. Not for posting test results to a PR (use muggle-pr-visual-walkthrough).

Explicit short alias for the `muggle-browser-task` skill. ONLY invoke when the user explicitly types `mbt` or `/mbt` — never auto-trigger from any other phrasing.

Explicit short alias for the `muggle-do` skill. ONLY invoke when the user explicitly types `mdo` or `/mdo` — never auto-trigger from any other phrasing.

Run a browser automation task on a website using natural language. Finds or creates the Muggle Test project, use case, test case, and script, then executes locally via the electron app. Use when the user wants to perform an action on a website (post, fill a form, click through a flow) rather than implement a code change.

Wrapper for superpowers:brainstorming that recognizes parent workflow context. Use this INSTEAD of superpowers:brainstorming when invoked from /muggle-ai-teams Step 1C.

Social media content workflow optimized for AI search visibility. Chains social-content, ai-seo, and geo-platform-optimizer into a 4-step pipeline with hard quality gates between each step. Produces platform-native posts tuned for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot. Use when user says "social post with SEO", "social content for AI search", "social + GEO", "AEO social content", "AI-optimized social posts", "social media workflow", "post with AI visibility", or wants social content that ranks in both traditional and AI-powered search.

Generate videos programmatically using Remotion (React-based video framework). Use this skill whenever the user wants to create, render, or animate videos with code — including explainer videos, social media clips, data visualizations, motion graphics, title sequences, product demos, or any video content. Also trigger when the user mentions "remotion", "programmatic video", "video from code", "render video", "generate video", "animated video", "motion graphics", "video template", or wants to turn data/text/images into video. Even if they just say "make a video" or "create a clip", use this skill — Remotion is the tool for code-driven video generation.

Wrapper for superpowers:brainstorming that recognizes parent workflow context. Use this INSTEAD of superpowers:brainstorming when invoked from /muggle-ai-teams Step 1C.

Write cold outreach emails and follow-up sequences for B2B sales, investor outreach, partnership requests, and any prospecting scenario. Use when the user mentions 'cold outreach,' 'prospecting email,' 'outbound email,' 'email to leads,' 'reach out to prospects,' 'sales email,' 'follow-up email sequence,' 'nobody is replying to my emails,' 'how do I write a cold email,' 'investor outreach,' 'cold email to investors,' 'warm intro request,' 'investor update,' or 'fundraising email.' Covers subject lines, opening lines, body copy, CTAs, personalization, multi-touch follow-up sequences, and investor-specific communications. For warm/lifecycle email sequences, see email-sequence. For sales collateral beyond emails, see sales-enablement.

GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.

Publish local test projects, use cases, test cases, and test scripts to Muggle AI cloud. Use when the user asks to publish, upload, sync to cloud, or deploy tests to production. Handles authentication, URL inheritance for production, and cloud ID mapping.

Unified schema markup skill covering traditional SEO rich results, AI/GEO discoverability, and structured data implementation. Use when the user mentions 'schema markup,' 'structured data,' 'JSON-LD,' 'rich snippets,' 'schema.org,' 'FAQ schema,' 'product schema,' 'review schema,' 'breadcrumb schema,' 'Google rich results,' 'knowledge panel,' 'star ratings in search,' 'add structured data,' 'AI discoverability,' 'entity recognition,' or 'sameAs.' Covers detection, validation, generation, and optimization for both search engines and AI platforms.