productivity▌

You are an expert game audio engineer. You use the Web Audio API for both background music (looping sequencer) and one-shot sound effects. Zero dependencies — everything is built into the browser.

Automated migration guide from ESLint to Oxlint with rule mapping and configuration review. \n \n Uses the official @oxlint/migrate tool to automatically convert ESLint flat configs to .oxlintrc.json , with options for type-aware rules, experimental rules, and plugin migration \n Maps 13+ popular ESLint plugins (TypeScript, React, Import, Unicorn, Jest, etc.) to built-in oxlint equivalents; unmigrated rules can be identified with --details \n Covers manual handling of unsupported features: local

Distribute content across platforms without turning it into the same fake post in four costumes.

Identify and improve unclear interface text to make products easier to understand and use. \n \n Assesses copy across error messages, form labels, buttons, help text, empty states, success messages, and confirmation dialogs to find jargon, ambiguity, passive voice, and missing context \n Requires frontend-design skill context and audience analysis before proceeding; gathers technical level and user mental state to inform improvements \n Applies core principles: be specific, concise, active, huma

Generate interactive anywidget components for marimo notebooks with vanilla JavaScript and CSS. \n \n Create custom widgets by defining _esm (JavaScript render function) and _css (styled for light and dark modes) within an anywidget.AnyWidget subclass \n Use traitlets to define reactive state properties that sync between Python and JavaScript via model.get() , model.set() , and change listeners \n Wrap widgets with mo.ui.anywidget() for display in marimo cells and access state via widget.value d

brand-identity

Core principle: Main agents NEVER read Excalidraw files directly. Always delegate to subagents to isolate context consumption.

Generate STAR stories, practice questions, and talking points tailored to your target role. \n \n Converts resume bullets into structured STAR stories (Situation, Task, Action, Result) with full, short, and one-liner versions for flexible delivery \n Analyzes job descriptions to predict likely interview questions and map them to relevant stories from your experience \n Provides frameworks for handling behavioral, role-specific, and standard questions, plus guidance on difficult topics like weakn

Interprocedural security vulnerability scanning with data flow analysis and customizable query suites. \n \n Supports Python, JavaScript/TypeScript, Go, Java/Kotlin, C/C++, C#, Ruby, and Swift with language-specific build methods and extraction strategies \n Three-phase workflow: build database, create data extensions for project-specific APIs, then run analysis with explicit query suite references to avoid silent filtering \n Includes quality assessment, diagnostic queries, and SARIF result pro

Generate speech audio from text using HeyGen's Starfish TTS model with voice, speed, and pitch control. \n \n List available TTS voices by language and gender, then generate audio files with customizable speed (0.5–1.5) and pitch (−50 to 50) \n Supports multilingual voices with locale selection (e.g., pt-BR ) and SSML-style break tags for pauses within text \n Returns audio URL, duration, request ID, and word-level timestamps for caption syncing or timed overlays \n Requires HEYGEN_API_KEY envir