productivity▌

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Build Convex queries, mutations, actions, and HTTP endpoints with validation, error handling, and proper runtime considerations. \n \n Four function types for different use cases: queries (read-only, cached, reactive), mutations (transactional writes), actions (external API calls), and HTTP actions (webhooks and API endpoints) \n All functions require explicit argument and return validators using Convex's v schema system, with ConvexError for user-facing error messages \n Internal functions rest

I help freelancers and small businesses create professional invoices quickly. Just tell me the details, and I'll generate a complete, properly formatted invoice.

Transform a rough product idea into a comprehensive, AI-ready Product Requirements Document (PDF) through targeted questions and structured output.

Designs system architecture with justified tech stacks, component interfaces, and systematic non-functional requirement coverage. \n \n Transforms requirements into complete technical architecture by extracting functional and non-functional requirements, identifying architectural drivers, and selecting appropriate patterns (monolith, microservices, serverless, layered) \n Maps every NFR category (performance, scalability, security, reliability, maintainability, availability) to specific architec

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.

Derivatives-trading-options request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format.

Unified AI agent orchestration with planning, execution, verification, and cleanup across Claude, Codex, Gemini, and OpenCode. \n \n Four-phase workflow: PLAN (ralph + plannotator) → EXECUTE (team/bmad) → VERIFY (agent-browser + optional agentation) → CLEANUP (worktree management) \n Supports Claude Code team mode for parallel multi-agent execution; falls back to BMAD for Codex, Gemini, and OpenCode \n Persistent state tracking via .omc/state/jeo-state.json with checkpoint-based resume on restar

Generate new images or edit existing images with Nano Banana 2 (gemini-3.1-flash-image-preview).

When the user wants to create a new project, first infer as many options as possible from the user's request (e.g., "new Mojo project" means type=Mojo, "called foo" means name=foo). Then use a structured multiple-choice prompt (not plain text) to gather only the remaining unspecified options in a single interaction. Do NOT ask about options the user has already provided or implied. The options to determine are: