productivity▌

Research organization and collaboration through Google Workspace integration. \n \n Manages research papers, notes, and data across Drive folders, Docs, and Sheets with built-in search and organization commands \n Logs experiments and findings in shared Sheets, exports data in CSV format for external analysis tools \n Shares research outputs and announces files to collaborators via Drive and Gmail workflows \n Requires four utility skills: gws-drive , gws-docs , gws-sheets , and gws-gmail \n

Comprehensive prompts for analyzing, planning, and executing .NET framework upgrades across multi-project solutions. \n \n Covers the full upgrade lifecycle: project discovery and classification, dependency analysis, framework targeting, code modernization, and breaking change detection \n Includes 24+ ready-to-use prompts organized into nine categories spanning strategy, CI/CD pipeline updates, testing validation, and version control practices \n Provides guidance on using .NET Upgrade Assistan

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

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

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

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

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills. \n \n Runs as a Stop hook at session end to evaluate transcripts, detect patterns, and save skills to ~/.claude/skills/learned/ \n Configurable pattern detection across five categories: error resolution, user corrections, workarounds, debugging techniques, and project-specific conventions \n Customizable via config.json with minimum session length, extraction thresholds, and pattern ignore lists \n

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.

Server-side session authentication for Nuxt 3/4. NOT the same as @auth0/auth0-vue (client-side SPA).

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