productivity▌

Patterns and practices for building games across platforms. Covers architecture, rendering, physics, AI, multiplayer, and optimization.

Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".

Complete development kit for building Microsoft 365 Copilot declarative agents with TypeSpec and Agents Toolkit integration. \n \n Three specialized workflows cover basic agent creation, advanced enterprise design, and validation/optimization for existing agents \n Supports up to 5 capabilities from 11 options including WebSearch, OneDrive/SharePoint, Graph Connectors, Power Platform, and custom connectors \n Enforces v1.5 schema compliance with character limits (name: 100, description: 1000, in

Detailed feature implementation plan generator following Epoch monorepo conventions. \n \n Generates comprehensive markdown implementation plans with system architecture, database schema, and API design specifications \n Includes Mermaid diagrams for system architecture, entity relationships, and component hierarchies with shadcn/ui integration \n Covers frontend component structure, state management patterns, backend service design, and deployment strategies \n Outputs structured plans to /docs

Real-time meme token discovery and AI-powered market narrative tracking across launchpads and DEX migration stages. \n \n Meme Rush tracks token lifecycle across three stages: New (bonding curve), Finalizing (pre-migration), and Migrated (DEX entry), supporting Pump.fun, Four.meme, and 16+ other launchpads on Solana and BSC \n Advanced filtering by bonding curve progress, liquidity, volume, holder distribution (top10%, dev%, sniper%, insider%), dev behavior (wash trading, sell%, burn status), an

Programmatic agent runtime for embedding Copilot's agentic workflows in applications across Python, TypeScript, Go, and .NET. \n \n Exposes the same production-tested engine behind Copilot CLI with support for streaming responses, custom tool definitions, and multi-turn conversations \n Supports four language runtimes (Node.js 18+, Python 3.8+, Go 1.21+, .NET 8.0+) with consistent APIs across all platforms \n Enables integration with MCP servers for pre-built tools, custom agent personas with sp

Export Pencil .pen designs to production React/Tailwind code.

This skill helps you discover and install skills from the open agent skills ecosystem.

Detect and remove AI-generated patterns from Finnish text to match native speaker voice. \n \n Identifies 26 patterns across Finnish-specific structures (passive overuse, missing particles, translation calques, genitive chains) and universal markers (hedging, filler phrases, artificial enthusiasm) \n Preserves meaning, register, and technical content while replacing AI patterns with natural Finnish constructions \n Includes adaptive workflow: analyzes short texts directly, flags patterns in long

PostgreSQL code review assistant covering JSONB, arrays, custom types, schema design, and security best practices. \n \n Reviews JSONB operations for indexing efficiency, array usage with GIN indexes, and proper containment operators \n Evaluates schema design including ENUM types, CITEXT for case-insensitive data, TIMESTAMPTZ usage, and CHECK constraints \n Identifies anti-patterns in function optimization, trigger design, and extension usage \n Assesses Row Level Security (RLS) implementation,