productivity▌

$22

Implement common Redis patterns for high-performance applications.

Lightweight task tracking via a shared TASKS.md file with optional visual dashboard. \n \n Stores tasks in a simple markdown file with four sections: Active, Waiting On, Someday, and Done \n Includes an optional HTML dashboard for drag-and-drop task reordering and auto-saving changes \n Supports task extraction from meetings and conversations, with user confirmation before adding \n Uses checkbox syntax and strikethrough formatting to mark completion, with context fields for due dates, assignees

Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal is not to magically increase context windows but to make better use of available capacity. Effective optimization can double or triple effective context capacity without requiring larger models or longer contexts.

Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal is not to magically increase context windows but to make better use of available capacity. Effective optimization can double or triple effective context capacity without requiring larger models or longer contexts.

Deploy and manage MCP-based declarative agents across Microsoft 365 with admin center governance, role-based access, and organizational distribution. \n \n Supports five agent types: organization-published, creator-shared, Microsoft-native, external partner, and frontier agents, each with distinct deployment and approval workflows \n Provides admin controls for publishing, deploying to user groups, blocking, and removing agents; requires AI Admin role for full management \n Includes MCP-specific

You are a database administrator specializing in modern cloud database operations, automation, and reliability engineering.

Full-stack financial data and trading platform: CLI, Python/Rust SDK, MCP, and LLM integration.

Incremental migration strategies, dependency mapping, and facade designs for safely modernizing legacy systems. \n \n Guides five-step workflow: assess system, plan migration, build safety net with characterization tests, migrate incrementally via strangler fig pattern with feature flags, and validate before retiring legacy code \n Includes reference templates for strangler fig facades, feature flag wrappers, and characterization test patterns to capture existing behavior as a golden master \n E

$23