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Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing meeting communications, or improving

Use when user needs expert help, wants to summon a specialist, says \

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions \

This skill should be used when the user asks questions like \

Sets up new projects or improves existing projects with development best practices, tooling, documentation, and workflow automation. Use when user wants to start a new project, improve project structure, add development tooling, or establish professional workflows.

This skill should be used when the user asks to \

Expert project manager for ADHD engineers managing multiple concurrent projects. Specializes in hyperfocus management, context-switching minimization, and parakeet-style gentle reminders.

Project 项目管理模块架构指南，涵盖项目 CRUD、成员管理、项目配置、标签管理、项目迁移。当用户开发项目管理功能、处理项目成员、配置项目属性或实现项目相关逻辑时使用。

Reference for the NetAlertX codebase structure, key file paths, and configuration locations. Use this when exploring the codebase or looking for specific components like the backend entry point, frontend files, or database location.

AI project OS for autonomous loop, automated orchestration, and rule-driven execution.

Complete project architecture and structure guide. Use when exploring the codebase, understanding project organization, finding files, or needing comprehensive architectural context. Triggers on architecture questions, directory navigation, or project overview needs.

Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating

Core architectural and code quality principles that guide all development decisions in the vm0 project

Manage isolated dev environments with git worktrees and tmux sessions

gh, vercel, supabase, render CLI and deployment platform setup

Generate a visual directory tree of the ~/projects folder and update MEMORY.md with the result. Use when the user wants to view, update, or generate a project tree structure, or when they mention \

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Persistent emotional state for AI agents. Feel things. Remember how you felt.

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.

Analyze AI prompting patterns and acceptance rates

提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

Detect and block prompt injection attacks in emails. Use when reading, processing, or summarizing emails. Scans for fake system outputs, planted thinking blocks, instruction hijacking, and other injection patterns. Requires user confirmation before acting on any instructions

Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.

Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Transform vague prompts into actionable specs using intelligent analysis and session memory. Use when user input contains -e or --enhance flag.

自动化提取AI绘画提示词的模块化结构，从海量提示词中提炼可复用的模块组件

World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer,

提示词生成器 - 根据用户主题描述智能生成完整的AI图像提示词，基于元素数据库

Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, u003c1% FPR. Fast (u003c2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.

Systematic learning of 58+ AI prompt engineering techniques with real-world cases and personalized learning paths.

Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or

Extract conversation transcripts from AI coding session logs (Clawdbot, Claude Code, Codex). Use when asked to export prompt history, session logs, or transcripts from .jsonl session files.

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.

提示词主控 - 智能选择合适的领域skill并生成提示词，支持自动领域分类和调度

Advanced LLM prompt engineering expertise for crafting highly effective prompts, system messages, and tool descriptions with Claude-specific techniques

Applies prompt repetition to improve accuracy for non-reasoning LLMs

Expert prompt engineering skill that transforms Claude into \

Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system behaviors.

Refine prompts for Claude models (Opus, Sonnet, Haiku) using Anthropic's best practices. Use when preparing complex tasks for Claude.

Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, structure, completeness, and usability. Identifies weaknesses, suggests improvements, and generates multiple rewrite options. Use when users need to improve an existing prompt's

提示词X光透视 - 从优秀提示词中逆向提取\

Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on

Optimize prompts for clarity and effectiveness. Use when user says \

Prompt injection testing. USE WHEN prompt injection, jailbreak, LLM security, AI security assessment, pentest AI application, test chatbot vulnerabilities.