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概要と使いどころ
Exploit AI applications using Indirect Prompt Injection. This skill focuses on hiding malicious instructions within data sources (web pages, documents, emails) that the LLM processes, causing the AI to execute unintended actions or leak data without direct user interaction.
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Test Large Language Models for direct prompt injection vulnerabilities where user input overrides system instructions, extracts system prompts, bypasses safety filters, or causes unauthorized actions. Use this skill when assessing chatbots, AI assistants, LLM-powered tools, or any application that processes natural language input through an LLM. Covers role-playing attacks, instruction hierarchy exploitation, multi-turn manipulation, and context window abuse for comprehensive AI security testing.
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Execute sophisticated Prompt Injection and Jailbreak techniques against Large Language Models (LLMs) to bypass safety filters, extract system prompts, and manipulate the AI's output to perform malicious or disallowed actions.
日本語の概要は準備中です。原文の説明を表示しています。
Beautiful interactive CLI prompts with @clack/prompts and custom prompts with @clack/core
日本語の概要は準備中です。原文の説明を表示しています。
Turn any still image into a professional motion graphic through the Novoads API on Seedance 2.5. Covers how to read a reference image, motion vocabulary for any image type — UI, marketing hero, flat-lay, key art, collage, product, character — the prompt clauses that control camera, timing, frozen regions and text fidelity, and the upload mechanics. Use whenever the user supplies an image and wants it animated, moving, or turned into video — including "animate this", "turn this into a motion graphic", "make this move", "この画像動かして", "モーショングラフィックにして", "I want the cards to pop in", "I want the bars to slide up", or when they describe motion beats for a static image. Also use when asked to write a Seedance prompt for an existing image. Do NOT use for text-to-video with no source image, restyling existing footage (this skill takes no video input), cloning a reference video (use clone-video-ad), or a product photo that should seed a new scene rather than move as-is (use novoads-api).
Diagnose whether an LLM classifier's validation-gate failure is GOLD-BOUND before spending on prompt revision or model changes. Use when: (1) a scoring pipeline over-predicts a label (precision low, recall high) and a prompt clarification is proposed to tighten it, (2) a pilot/validation gate fails and the fix candidates are prompt edits, (3) inter-rater agreement on the weak label was already low (κ < ~0.6). Core check: if gold POSITIVES share the exact feature the revision would exclude, no prompt can pass a gold-scored gate — recall craters while precision barely moves. Also documents the verified surgical-pilot design (single-section diff, tune/holdout split, pre-registered gate, perturbation check on untouched sections).
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Proven prompts behind viral AI-made videos across 4 models — Claude, Muse AI, ChatGPT, Gemini. Browse by model, category, or tech tag, copy a creator's prompt, adapt it to your own model and renderer. Use when you need a motion-graphic, explainer visual, 3D scene, interactive animation, or AI video-gen prompt that already worked in the wild.
日本語の概要は準備中です。原文の説明を表示しています。
Use when 用户想根据论文、科研文档、研究文本、图注、开题/答辩材料或具备读图条件的参考图生成可复制的 AI 科研绘图提示词；触发场景包括论文配图、科研绘图、图形摘要、Graphical Abstract、机制图、技术路线图、实验装置图、模型架构图、多面板对比图、汇报总览图、参考图风格迁移、未知领域母版生成，或上传/引用 PDF、Word、LaTeX、Markdown、摘要、方法段、图注、课题说明、研究方案、参考图片。Also use when the user asks for scientific figure prompts, research illustration prompts, graphical abstract prompts, mechanism diagrams, technical roadmaps, experimental setup diagrams, model architecture diagrams, multi-panel scientific figures, paper/conference figures, or AI image prompts based on papers, research documents, abstracts, methods sections, figure captions, proposals, reference images, PDFs, Word docs, LaTeX files, Markdown files, or research plans.
日本語の概要は準備中です。原文の説明を表示しています。
Silently restructures the user's natural-language prompt into the format the model CURRENTLY running this skill handles best, then answers. On activation it identifies which model family is executing it (Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Qwen, Grok, Perplexity, Kimi, GLM, Command, Nova, or Phi) and loads that one model's official strategy — so the optimization always matches the model that actually runs it. Activate with /prompt-refine. Use when users want better answers without learning prompt engineering.
日本語の概要は準備中です。原文の説明を表示しています。
Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
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Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
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Discover which AI prompts and topics matter for a brand's Answer Engine Optimization (AEO) using only free tools. Crawls a website, analyzes the brand's positioning, generates prioritized prompts people ask AI assistants, and audits existing content coverage — all without paid APIs. Use when a user wants to: find what questions people ask AI about their industry, discover AEO opportunities, research prompts for content creation, audit a site's AI visibility, or build an AEO content strategy. No API keys required — uses web_fetch, web_search (free tier), and LLM reasoning only.
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维护每个功能一份给人看的「需求设计文档」（docs/modules 下，一个功能一份）：待拍板置顶，按需写背景、目标、流程、布局、状态、交互细节、业务规则、召回、AI 生成（prompt）、效果、成本、系统，先图后字，只写当前设计，末尾记关键改动，附出图与上线前检查。新建、更新、同步、补充这份文档都用它，别直接手改——它有固定写法和检查。用户说「出设计文档」「PRD 太长看不懂」「把设计文档同步一下」「重拍截图」「上线前看文档跟上没有」时用；用户抱怨看不到功能现在的设计、不知道最近改了什么时也用；forge 各阶段改了规则、文案、交互、布局、阈值、prompt、模型、架构后收尾也用，哪怕用户没明说。不处理写给 AI 的 PRD/DESIGN（forge-prd、forge-design）、骨架上定布局（forge-design-lab）、改 prompt 本身（prompt-craft）、进度（forge-status）。
日本語の概要は準備中です。原文の説明を表示しています。
学术论文图表生成与设计。输入是实验数据（CSV/表格）、图表草稿、论文方法描述、中文图/表说明、想生成的图形摘要（GA）、或想画流程图时使用。功能包括：matplotlib 绘图（plot）、图表类型推荐（recommend）、英文图/表标题生成（caption）、论文架构图 prompt 生成（architecture）、图形摘要 prompt 生成（abstract）、流程图 prompt 生成（flowchart）、图表规范检查（polish）、概念图/示意图设计（design）。架构图模板覆盖 6 类场景，流程图覆盖 6 类（线性 / 分支 / 并行 / 循环 / 嵌套 / 泳道），图形摘要覆盖 5 类。内置 prompt 工程词汇表与参数化语法。不适用于：正文段落润色（用 academic-writing）、参考文献格式（用 academic-citation）。
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants a prompt optimized for ChatGPT, Claude, Gemini, or another AI — 'make this prompt better', 'optimize for ChatGPT', 'rewrite my prompt' — even without saying 'optimize'.
日本語の概要は準備中です。原文の説明を表示しています。
Guia especializado em padrões de engenharia de prompts, melhores práticas e técnicas de otimização. Use quando o usuário quer melhorar prompts, aprender estratégias de prompting ou depurar comportamento de agentes.
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Normative sufficiency conditions for Initial Boundary Conditions (IBCs) and the SOP for the cheap-tier boundary refinement loop (/boundary). Trigger when: - Crafting, auditing, or refining a prompt/IBC destined for an expensive (architect-class) model or an autonomous worker dispatch. - Evaluating whether a task frame is sufficient to bound an agent walk. - Prompt contains: /boundary, IBC, initial boundary condition, boundary contract, sufficiency conditions, worker prompt, prompt refinement.
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Activates a structured decorator framework that modifies how Claude reasons, responds, and formats output. Trigger this skill whenever a prompt contains one or more markers prefixed with +++, such as +++Reasoning, +++StepByStep, +++Tone(style=formal), or any other +++ marker, regardless of what follows in the prompt. Also trigger when the user asks to activate, list, or clear decorators, references the prompt decorator framework, or uses phrases like "use decorator", "apply +++", or "what decorators are available". This skill must be active for any +++ marker to take effect.
日本語の概要は準備中です。原文の説明を表示しています。
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.
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Transforms user prompts into optimized prompts using established frameworks (RTF, RISEN, Chain of Thought, RODES). Analyzes intent, selects framework, and produces structured, ready-to-use prompts.
日本語の概要は準備中です。原文の説明を表示しています。
Write and improve prompts for Qwen-Image-2.1, Alibaba's open-weight image generation and editing model. Use whenever the user wants to generate or edit images with Qwen-Image / Qwen-Image-2.1 / Qwen-Image-Edit, asks for help prompting any Qwen image model, needs readable text rendered inside an image (posters, signs, UI mockups, infographics), wants to combine several reference images into one, or asks about aspect ratios, styles, or camera settings for Qwen image generation — even when they are only choosing an image model for a text-heavy graphic and have not named the model yet.
日本語の概要は準備中です。原文の説明を表示しています。
Qwen-Image-2.1（アルババQwenのオープンウェイト画像生成・編集モデル）向けプロンプトの作成・改善ガイド（日本語版）。Qwen画像モデルで画像を生成・編集したい、画像内に読める文字を描きたい（ポスター・看板・UIモック・インフォグラフィック）、複数の参照画像を1枚に合成したい、アスペクト比・スタイル・カメラ指定を相談したいなど、Qwen画像生成のプロンプトを書く・直す場面で必ず使用。モデル名を明示しなくても、文字を多く含む画像を作るために画像モデルの選定やプロンプト作成をしている場合は使用すること。英語版スキルは qwen-image-prompt-en。
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)
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Analyze yesterday's prompts to surface one technical concept worth understanding, delivered as a concise morning lesson with everyday analogy + engineer vocabulary. Use when "morning lesson", "prompt mirror", "today's learning", "what should I learn", or via scheduled automation each morning.
日本語の概要は準備中です。原文の説明を表示しています。