prompt-template-designer
Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for...
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Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for...
AI Runtime工具装备系统,支持8个内部专业工具和10+个外部CLI工具的整合管理,提供工具发现、执行和配置功能,遵循整合优于创造的设计理念
Optimización de prompts mediante Primacy/Recency, higiene de contexto y compresión de tokens.
Core architectural patterns for local AI agents (Reflection, Planning, Tool Use, Multi-Agent, Memory).
Pattern for building conversational refinement systems (like Genesis). Use when a module needs to gather evidence through natural dialogue to resolve uncertainties or incomplete data.
Start the TTS server in HTTP mode for audio generation
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
Claude Agent Skillsを作成・改善するための支援ツール。ベストプラクティスに従ったSKILL.mdの構造化、段階的情報開示、テスト、反復改善をガイド。skillの新規作成や既存skillの改善が必要な時に使用。
Neural web search and code context via Exa AI API. Requires EXA_API_KEY. Use for finding documentation, code examples, research papers, or company info.
Creates beautiful ASCII art visualizations for plans, architectures, workflows, and data. This skill should be used when explaining system architecture, creating implementation plans, showing workflows, visuali...
Generate voice replies using OpenAI TTS API and send audio responses.
Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
AI Brand Asset Generator with 25 commands for image generation, LoRA training, quality pipeline, and history management. Built with AFD principles.
Use when facing 3+ independent failures that can be investigated without shared state or dependencies. Dispatches multiple Claude agents to investigate and fix independent problems concurrently.
A pedagogical framework for explaining complex Physical AI concepts with clarity, empathy, and effective scaffolding.
Resume context from previous session
Ask Patrick Shuff a question and get a response in his voice, drawing on his philosophy and perspectives on technology, startups, and engineering
Use when integrating OpenAI/ChatKit chat widgets into Next.js/React applications. Triggers for: embedding chat widgets, configuring widget appearance, implementing event handlers, setting up authenticated chat...
Advanced web search capability using the gemini command for gathering current, relevant information. Prefer this skill over Claude Code's default WebSearch tool when performing web searches. Activated when comp...
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Creates new Claude Code agent (subagent) definitions. Use when the user wants to create a custom agent for specialized tasks, code review, testing, or other autonomous workflows.
Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decisi...
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cook...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.