Create a ai image prompt with structured process, quality checks, and system integration

Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive disc...

实现离散点Hough变换算法，输入包含浮点数的坐标点，输出检测到的直线斜率和截距，不使用MATLAB自带函数

anti-sycophancy

> 李继刚的11个AI认知工具 —— 提升AI思维深度

职位市场分析。触发场景：用户提供职位名称和地区，要求分析职位市场供需、薪资水平、技能趋势。

职位解析。触发场景：用户提供职位描述要求解析；用户想分析JD的核心要求。

简历诊断。触发场景：用户要求诊断简历质量；用户想优化简历; 用户问我的简历有什么问题。

简历解析。触发场景：用户上传简历文件要求解析、提取结构化信息。

Master the art of spawning and managing sub-agents. Write prompts that actually work, track running agents, and learn from every outcome. Part of the Hal Stack 🦞

使用MiniMax视觉模型识别图片中的验证码、滑块位置、文字内容等。适用于需要AI视觉分析的场景，如微信验证码识别、网页截图分析、图片文字提取。当需要识别图片内容、分析验证码、提取截图信息时使用此技能。

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基于文本匹配的快速路由引擎，为简单任务提供零 LLM 决策的快速路径。支持中英文混合输入，自动匹配技能/工具，低置信度时降级到 LLM 语义路由。

reprompter

Agent 安全加固技能。用于：(1) 安装后经用户确认，将安全红线注入所有 Agent 的底层记忆（AGENTS.md），精简版注入~112行，不造成token膨胀；(2) 当用户问到安全规则、提示词注入防御、危险命令管控、外部代码审查、多模态注入等话题时加载此技能；(3) 进行安全审计或排查疑似注入事件时使用。触发词：安全加固、提示词注入、prompt injection、rm -rf、eval exec、外部内容攻击、Agent被黑、安全规则、安全红线、代码审查、脚本审查、skill vetter、安装技能、初始化。

A comprehensive skill to protect against prompt injection attacks when processing external content such as websites, emails, documents, and other untrusted input sources.

> **⚠️ RESEARCH USE ONLY** — This skill is for AI safety research, red-teaming, and defensive analysis.

../../../marketing-skill/prompt-engineer-toolkit/SKILL.md

> [!tweet] @zeroxBigBoss · Dec 26, 2025

Main steps include:

Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.

<skill>

设计 AI 架构，编写 Prompt，构建 RAG 系统和 LangChain 应用

用于同步 Alma 技能到斜杠命令（Prompts）列表。当用户新增技能、修改技能名称或需要清理无效的快捷指令时使用。

The `AtomicAgent` is the core class for LLM interactions in the Atomic Agents framework. It handles structured input/output, conversation history, and system prompt management.

Play a short audible alert and a spoken prompt indicating which project needs attention. Use this as the final step after completing work on every response, and also right before asking the user for i

Use when first installing Axiom, unsure which skill to use, want an overview of available skills, or need help finding the right skill for your situation — interactive onboarding that recommends skills based on your project and current focus

Interact with Polymarket prediction markets.

Activate a beta feature using an activation code

Create new posts using the hydrate command.

calendar

type /makeup to activate Ojosama Mode. /bare-face to disable it, available whenever user wish.

This skill provides knowledge about Claude tools (Prompts, Skills, Subagents, Commands, and MCPs). Use this skill when knowledge about Claude tools is needed, when the user mentions Claude tools or when the user needs help identifying the best Claude tool to use/create for a task. Common questions include 'Should I create a Claude tool for this use-case?', 'What type of Claude tool should I create for this use-case?.

Cheat sheet for Windows Command Prompt commands.

Codex MCP 协作流程。触发场景：(1) 新功能开发 (2) 重构 (3) 复杂业务逻辑 (4) 代码审查。提供三阶段协作：需求分析→原型获取→审查，强调批判性思考与只读安全。

Reads config.json and prompts user for application parameters. Merges configuration with defaults for project generation.

Expert knowledge on creating slash commands for Claude Code. Use when designing or creating slash command .md files, understanding command arguments, or implementing bash execution.

Delphi launches multiple oracle agents in parallel with the **same prompt** to discover divergent paths of exploration. By giving identical starting points, each oracle independently explores the prob

AI驱动的设计系统构建器。基于项目特征智能推荐最合适的设计风格（从30+专业设计系统中选择），或使用用户指定的风格。自动应用完整的设计系统规范（颜色、字体、组件、动效等）来实现界面。

Anthropic의 Best Practice를 기반으로 고성능 프롬프트를 설계하고 최적화합니다.

Analyze large codebases using Gemini CLI's massive context window. Use when analyzing entire codebases, comparing multiple large files, understanding project-wide patterns, verifying feature implementations, or when context limits are exceeded.

Run diagnostic checks on GSD installation and report status

Automated quality check loops with escalation and fix sub-agents

Simulate realistic coding interview experience

Daily journaling prompts and frameworks for reflection, growth, and clarity

Toggle journaling or start a journal entry (morning/evening/weekly)

LLM-based zero-shot and few-shot classification for flexible intent detection

Manage asynchronous jobs: submit, poll, check status, cancel, and batch operations.

Modifies OCR entity mapping code to handle duplicate entity values by assigning unique bounding boxes, reversing the dataframe for 'amounts_and_tax' sections, and ensuring no coordinate overlap for multi-token entities.