productivity▌

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

When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.

Structured framework for analyzing requirements, evaluating trade-offs, and documenting architectural decisions. \n \n Provides context discovery questions and project classification to align architecture with actual requirements \n Includes trade-off analysis templates and ADR (Architecture Decision Record) documentation patterns for capturing decision rationale \n Offers decision trees and anti-pattern guidance to help select appropriate architectural patterns \n Emphasizes simplicity-first ap

Persistent, searchable memory system for agents to store and retrieve architectural decisions, patterns, and project knowledge. \n \n Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write to record decisions and patterns, memory_read to retrieve specific entries, and memory_stats for usage analytics \n Runs as an MCP server that syncs with project documentation, enabling long-term knowledge retention across agent sessions \n Includes a standalone dashboard (por

Scaffold projects, libraries, and code using Nx generators with workspace pattern consistency. \n \n Discovers and runs Nx generators for creating apps, libraries, features, and custom workspace artifacts \n Prioritizes local workspace generators over plugin generators to maintain repo-specific conventions \n Performs dry-run validation before execution to verify correct file placement and structure \n Reads generator source code to understand actual behavior beyond schema, ensuring generated co

Master deep work with a three-part framework: 1 hour daily of Building, balanced with Maintenance and Recovery. \n \n Establish sustainable productivity through a 90-day transformation sequence: diagnose focus state, define vision and anti-vision, build a 10-year-to-daily goal hierarchy, and apply project-based learning to close skill gaps \n Identify lever-moving tasks that actually progress goals using the challenge-equals-skill principle, avoiding both anxiety (challenge too high) and boredom

$23

Automate Google Sheets workflows for data synchronization, task management, reporting dashboards, and multi-platform integrations. Based on n8n's 7,800+ workflow templates.

Answers: "Who controls this wallet? Are these wallets related?"

Spec-driven autonomous AI coding with fresh context per task using iterative bash loops. \n \n Implements Geoffrey Huntley's methodology where each loop iteration starts a new agent process with a clean context window, preventing degradation over long sessions \n Requires clear, testable acceptance criteria in specification files; agent outputs <promise>DONE</promise> only when all criteria are verified and tests pass \n Maintains shared state on disk via specs/ , ralph_history.txt , a