القائمة
Native macOS menu bar app for live voice-to-text with auto-type using WhisperKit on Apple Silicon
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Manus-level AI browser agent that drives Dhruv's REAL logged-in Chrome (any profile — AIV, Onsite, etc.) via natural-language commands. Persistent, human-paced, un-blockable (real session), LLM-driven so it survives obfuscated selectors. Use when Dhruv says "control my AIV / control my <profile>", or asks to browse, search, apply, engage, or automate anything in his real browser.
Generate weekly long-form LinkedIn carousel posts with hand-drawn notebook-style slides — the proven 7-slide format optimized for the 2026 LinkedIn algorithm. Produces post copy + 7 Gemini-ready slide prompts + posting strategy + DM script + cross-platform repurposing in one go. Use when Dhruv asks for a weekly carousel, "Build-in-Public" educational post, or wants to teach a methodology / system / framework in long-form. Pairs with handdrawn-diagram skill for style consistency.
MCP server for AI-powered macOS control — apps, display, audio, files, screenshots, clipboard
Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.
Deploy any full-stack app (Next.js + FastAPI or similar) to AWS production with Docker, ECR, ECS Fargate, ALB, ElastiCache, CloudWatch, and Grafana. Use when deploying to AWS, setting up CI/CD, configuring production infrastructure, or shipping any app to production.
Convert formal names to casual versions for cold email personalization - first names, company names, and city names. Use when user asks to casualize names, make names friendly, or prepare lead data for emails.
استنادا إلى تصنيف SOC المهني
| name | whisper-voice |
| description | Native macOS menu bar app for live voice-to-text with auto-type using WhisperKit on Apple Silicon |
Build and run a native macOS menu bar app that captures live microphone audio, transcribes it offline using WhisperKit (on Apple Silicon), and auto-types the text wherever the cursor is.
| Name | Type | Required | Description |
|---|---|---|---|
| model_size | string | No | Whisper model: tiny, base (default), small |
| language | string | No | "en" (default) or "hi" for Hindi mode |
| chunk_duration | float | No | Seconds per audio chunk (default: 3.0) |
cd AiwithDhruv_Voice/WhisperAiwithDhruv
swift build
swift run WhisperAiwithDhruv
# Or open in Xcode: open Package.swift → Cmd+R
| Name | Type | Description |
|---|---|---|
| transcribed_text | string | Live transcribed text typed at cursor |
| history | array | Last 50 transcription entries in menu bar |
| Name | Type | Required | Description |
|---|---|---|---|
| model_size | string | No | tiny / base / small |
| language | string | No | en / hi |
| chunk_duration | float | No | 2.0 - 8.0 seconds |
| silence_threshold | float | No | 0.002 - 0.05 |
| Name | Type | Description |
|---|---|---|
| transcription | string | Live text output |
| auto_typed | boolean | Whether text was injected at cursor |
| Name | Source |
|---|---|
| None | Fully offline, no API keys |
video-edit (add transcription captions), send-telegram (send transcriptions to phone)
Free — runs entirely on-device. Model download is one-time (~140MB for base).