Agent Skills Hub

context-optimization

Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.

upstash-ratelimit-ts

A connectionless, HTTP-based rate limiting SDK for TypeScript, ideal for serverless, edge functions, and distributed environments using Upstash Redis.

memov

AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.

data_processor

A multi-paradigm ETL pipeline agent supporting batch and streaming data processing, schema inference, and configurable DAG-based transformations for heterogeneous data sources.

Frontend Components

Standardized configuration and management for Django production server and worker processes.

cn-daily-tools

An all-in-one Chinese daily utility toolkit: weather, currency exchange, news, and package tracking. Zero configuration, no API keys required.

create-evlog-framework-integration

Add evlog framework integration: automate wide-event logging across your stack with standardized middleware, build configurations, testing, and documentation.

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

agentdb-state-manager

Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.

feishu-fetch-doc

Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.

sage-mcp-protocol

Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.

lsp

Implementation and maintenance guide for the atopile Language Server (LSP), providing IDE features like autocomplete and diagnostics for electronics design.