Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
36 skills found
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
Comprehensive guide and implementation framework for building, configuring, and deploying NexAU agents from scratch, including tools, prompts, and skills.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Create, refine, and optimize high-quality YAML prompts for AI assistants using structure guidelines, template patterns, and quality standards.
Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Implement Google Gemini API audio capabilities: process, transcribe, and summarize audio files, analyze environmental sounds, and generate natural speech with controllable TTS.
An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.
Build, manage, and deploy AI-powered voice assistants, phone bots, and IVR systems with Vapi using the Model Context Protocol (MCP).
Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.