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Found 485 Skills
Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
Create product documentation with help pages, AI-generated screenshots, Remotion product videos with TTS narration and background music, and GitHub README visual documentation. Use when asked to create documentation, a help page, product tour video, generate screenshots, add user guides, or enrich a GitHub README.
Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)
Visually QA a web application by launching it in Cursor's built-in browser, taking screenshots, checking console errors, and auditing network requests. Use after making UI changes to verify they look correct.
Screenshot every view/screen of an app for marketing, product sites, and documentation. Use when asked to "screenshot the app", "capture all views", "get marketing screenshots", "screenshot every screen", or "product shots". Works with macOS native apps (screencapture), web apps (Puppeteer/Playwright), and Electron apps.
Make precise edits to an existing Moda canvas from its URL or share link — reword or restyle text, recolor, realign, resize, swap an image, add or delete a section, fix a slide someone touched in the editor. Use when the user pastes a moda.app canvas or share URL (or a cvs_ id) and asks for changes, or to revise a design a previous moda skill or Moda's AI built. Deterministic: reads canvas state, applies targeted markup/code edits, verifies with lint and screenshots. Adding or changing motion on the canvas: load moda-video.
QA a PR's UI change in a real browser through the configured browser-provider descriptor — first ensuring the PR has been reviewed (invoking om-auto-review-pr when it has not), then capturing screenshots and a pass/fail report, and optionally posting tracker evidence or self-QA labels without modifying source. Also runs in a local, tracker-less mode against the current worktree.
Browser automation for AI agents. Use when the user needs to navigate websites, read page content, fill forms, click elements, take screenshots, or manage browser tabs.
Scope coverage, build a testing strategy, test the feature with agent-browser, capture screenshots/video (always mandatory), upload to S3, and create a structured test report (never skip)
Use when the agent is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with render_game_to_text. Originally from OpenAI's curated skills catalog.
Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with render_game_to_text.
Autonomously turn a brief or FR issue into a spec landed on a ready PR — runs om-spec-writing --autonomous (defaults posted for override), attaches UI mockups and current-app screenshots as PR evidence when a browser provider exists, applies full SDLC labels, and emits PR/spec markers for chaining into om-auto-implement-spec. Use for "write a spec for X and open a PR", "spec this issue".