Agent Skills Hub

sag

ElevenLabs text-to-speech engine for OpenClaw with macOS-style CLI and voice synthesis control.

tool-integration

Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.

tldr

Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.

core-components

Core component library and design system patterns for consistent UI development using design tokens.

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.

bear-notes

Manage and automate your Bear notes on macOS using the grizzly CLI tool.

dependency-upgrade

Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.

MLOps Industrialization

A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.

sage-mcp-protocol

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

route-handlers

A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.

ring:dev-sre

Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.

bmad-planner

Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.