productivity▌

$23

Navigate cross-functional friction using frameworks from 57 product leaders at Linear, Airbnb, and similar companies. \n \n Diagnose collaboration issues by identifying whether the root cause is role clarity, communication patterns, or structural misalignment \n Apply core principles including credit sharing, \"Yes, and\" thinking, written role expectations, and direct stakeholder-engineer connections to reduce handoff friction \n Build the product trio (PM, designer, engineer) as the core decis

Vision-driven Android automation from screenshots, no DOM access required. \n \n Operates entirely from device screenshots using AI visual understanding; interacts with any visible UI element regardless of underlying technology stack \n Supports taps, swipes, text input, app launches, and complex multi-step interactions via natural language commands \n Requires pre-configured vision model (Gemini, Qwen, Doubao, or similar) with API credentials in environment variables \n Commands run synchronous

Server-side wallet for AI agents with x402 payment signing, multi-chain support, and policy-controlled transactions. \n \n Supports EVM (Ethereum, Base, Optimism, Polygon, Arbitrum, BNB, Gnosis) and Solana with USDC, USDT, and CASH tokens \n One-step x402/fetch endpoint handles payment detection, signing, and retry automatically for seamless API calls \n Policy-controlled transfers, contract calls, and message signing with optional dry-run previews \n Referral program with airdrop rewards; multi

Systematically verify suspected security bugs and classify them as true or false positives with documented evidence. \n \n Guides you through structured claim analysis, data flow tracing, and gate reviews to eliminate false positives before reporting \n Supports two verification routes: standard (single-pass checklist for straightforward bugs) and deep (full task orchestration for complex, cross-component, or concurrent bugs) \n Includes built-in escalation checkpoints, bug-class-specific verifi

Unix-style shell for navigating and querying web pages as a filesystem. \n \n Navigate URLs with cd , list page elements with ls , extract content with cat , and filter with grep —all operating on cached, locally-parsed page content \n Supports natural language intent inference; commands like \"show me the first 5 links\" or \"what forms are on this page?\" work alongside formal shell syntax \n Fully asynchronous design with instant prompt return; background tasks handle fetching, parsing, and e

Prepare marimo notebooks for scheduled batch execution with CLI parameters and optional experiment tracking. \n \n Converts UI-based parameters into Pydantic models that support both interactive forms and command-line argument parsing \n Enables dual-mode execution: iterate with the UI, then run batch jobs via CLI with arguments like --sample-size 4096 --learning-rate 0.005 \n Optionally integrates Weights and Biases for experiment logging and parameter tracking \n Includes EnvConfig for managin

Create, test, and iteratively improve AI agent skills with structured evaluation and benchmarking. \n \n Guides you through the full skill development lifecycle: intent capture, draft writing, test case creation, evaluation, and iteration based on user feedback \n Runs quantitative benchmarks comparing skill-enabled vs. baseline performance, with timing and token usage analysis across multiple test cases \n Generates an interactive browser-based review tool for qualitative evaluation — side-by-s

Initialize and configure assistant-ui chat UI in Next.js projects or create new apps from templates. \n \n Supports two workflows: init for existing Next.js projects and create for new apps, with six starter templates covering AI SDK, cloud persistence, Clerk auth, LangGraph, and MCP integrations \n CLI flags enable non-interactive setup ( --yes ), template selection ( -t ), preset configuration ( --preset ), and component registry additions ( add ) \n Reference documentation covers advanced run

Strategies for working effectively with managers and executives drawn from 35 product leaders. \n \n Proactively communicate upward with regular updates on priorities, blockers, and progress rather than waiting to be asked, using consistent formats like weekly emails \n Bring recommendations and point of view to your manager instead of just problems, reducing their cognitive load and positioning yourself as an ally \n Understand your manager's priorities and two levels up to tailor communication