Back to Skills

Prompting

danielmiessler
Updated 3 days ago
4 views
9,895
1,393
9,895
View on GitHub
Metageneral

About

The Prompting skill is a meta-prompting system that dynamically generates prompts using templates, standards, and patterns. Use it for template generation, prompt optimization, and programmatic prompt composition. It supports user customizations through local configuration files that can override default behavior.

Quick Install

Claude Code

Recommended
Primary
npx skills add danielmiessler/Personal_AI_Infrastructure -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/danielmiessler/Personal_AI_Infrastructure
Git CloneAlternative
git clone https://github.com/danielmiessler/Personal_AI_Infrastructure.git ~/.claude/skills/Prompting

Copy and paste this command in Claude Code to install this skill

GitHub Repository

danielmiessler/Personal_AI_Infrastructure
Path: Releases/v2.5/.claude/skills/Prompting
0
aiaugmentationhumansproductivity

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

polymarket

Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill

creating-opencode-plugins

Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill