productivity▌

Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples.

$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.

Generate GitHub Copilot instruction files by analyzing actual codebase patterns and technology versions. \n \n Scans projects to detect exact language, framework, and library versions, then generates instructions that enforce compatibility with those specific versions \n Analyzes existing code patterns for naming conventions, architecture style, error handling, testing approaches, and documentation standards to ensure Copilot-generated code matches established practices \n Supports multiple tech