productivity▌

Command-line interface for discovering and executing MCP server tools and external integrations. \n \n Five core commands cover server discovery, tool exploration, schema inspection, execution, and grep-based searching across all available tools \n Supports JSON input/output for scripting, raw text extraction, and description flags for verbose tool documentation \n Handles complex JSON arguments via heredoc, stdin piping, or file input to accommodate special characters and multi-line payloads \n

Plan and execute Convex schema migrations safely with multi-deploy workflows and data transformation. \n \n Follows a predictable three-step pattern: widen schema, migrate data, narrow schema; handles online migrations where the app continues serving requests during async data updates \n Provides the @convex-dev/migrations component for batched, cursor-based pagination with state tracking, dry-run testing, progress monitoring, and automatic resume from failure \n Covers common patterns including

Docker Compose, environment variables, dev containers, and infrastructure-as-code templates for consistent local and production setups. \n \n Provides complete Docker Compose configuration for multi-service development (web app, PostgreSQL, Redis, Nginx) with volume mounting and service dependencies \n Includes .env management patterns with type-safe environment variable loading in Node.js and mandatory .gitignore rules to prevent secret commits \n Offers VS Code dev container setup with pre-con

Transcribe audio to text using ElevenLabs Scribe or Whisper models via inference.sh CLI. \n \n Three model options: ElevenLabs Scribe v2 (98%+ accuracy with diarization), Fast Whisper V3, and Whisper V3 Large for varying speed/accuracy tradeoffs \n Supports 99+ languages, optional timestamps, speaker diarization, and translation to English \n Common workflows include meeting transcription, podcast transcripts, video subtitles, and voice note conversion \n Requires inference.sh CLI ( infsh ) inst

Search and prioritize your assigned issues by age, engagement, and status. \n \n Queries the current repository for issues assigned to you using the GitHub repo context \n Surfaces issue recommendations based on age, comment count, and open/closed status to help you prioritize work \n Integrates with the list_issues command to retrieve and analyze issue data from your repository \n

Never Use TaskOutput \n TaskOutput floods the main context window with agent transcripts (70k+ tokens). \n Rule \n NEVER use TaskOutput tool. Use Task tool with synchronous mode instead. \n Why \n \n TaskOutput reads full agent transcript into context \n This causes mid-conversation compaction \n Defeats the purpose of agent context isolation \n \n Pattern \n # WRONG - floods context\n Task(run_in_background=true)\n TaskOutput(task_id=\"...\") // 70k tokens dumped\n \n # RIGHT - isolated context

Run web-only libraries in Expo apps by rendering them in webviews on native and as-is on web. \n \n Supports any React web library (recharts, react-syntax-highlighter, canvas, WebGL) without modification by wrapping it in a DOM component file with the 'use dom'; directive \n Passes serializable props and async functions from native to webview, enabling bidirectional communication between native and web contexts \n Includes webview configuration options via the dom prop: scroll control, safe area

Set up Convex authentication with the right provider, user management, and access control patterns. \n \n Supports multiple auth providers: Convex Auth, Clerk, WorkOS AuthKit, Auth0, and custom JWT, with provider detection from repo signals \n Guides you through choosing a provider, configuring client and backend wiring, environment variables, and convex/auth.config.ts setup \n Covers authentication checks in protected functions, optional app-level user storage, and authorization patterns for ow

Reduce voluntary and involuntary churn through cancel flows, dynamic save offers, and payment recovery. \n \n Design exit surveys and targeted save offers (discounts, pauses, downgrades) matched to cancellation reasons, typically recovering 25-35% of at-risk customers \n Implement proactive retention by tracking health signals (login frequency, feature usage, support sentiment) and intervening before customers reach the cancel page \n Set up dunning sequences with smart payment retries, escalati

Systematically isolate and fix code issues using structured debugging methodologies. \n \n Covers six-step debugging workflow: information gathering, reproduction, isolation, root cause analysis, fix implementation, and verification \n Includes common bug patterns (off-by-one, null references, race conditions, memory leaks, type mismatches) with targeted solutions \n Provides debugging techniques: binary search isolation, print/log debugging, divide-and-conquer code elimination, and regression t