「rsa」の検索結果

"Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.".

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RSA attack playbook for CTF and real-world cryptanalysis. Use when given RSA parameters (n, e, c) and need to recover plaintext by exploiting weak keys, small exponents, shared factors, or padding oracles.

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Use when hunting Client-Side Path Traversal (CSPT) vulnerabilities where attacker- controlled input is unsafely concatenated into the path component of a JavaScript fetch() or XHR request. Trigger on: "CSPT", "client-side path traversal", "fetch path traversal", "XHR path injection", "fetch concatenation", "../ in fetch", "user input in fetch URL", "path component injection", fetch redirect chaining, CSPT to XSS, open redirect fetch, "JavaScript fetch user input", DOM fetch injection.

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Tracks adversary C2 and staging infrastructure by clustering indicators on shared attributes (TLS/JARM, certificate fields, favicon hashes, ASN, registration patterns) to find related hosts. Activates for requests to track adversary infrastructure, cluster C2 servers, or pivot on infrastructure attributes to find related hosts.

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Use when designing how an Agentforce agent transfers the conversation to a human agent (Omni-Channel), to another bot/agent, or to an alternate workflow — including context package, deflection, escalation triggers, and user messaging. Triggers: 'agent to human handoff', 'agentforce escalate to omni channel', 'agent to agent handoff', 'transfer conversation with context', 'agent deflection fallback'. NOT for topic scope and selector design — use agentforce/agent-topic-design. NOT for the overall Einstein Bot plus Agentforce estate topology — use architect/conversational-ai-architecture.

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Use when monitoring Agentforce agent sessions, analyzing conversation logs, measuring deflection rates, or diagnosing agent performance issues. Triggers: 'agentforce session analytics', 'how to query agent conversation data', 'monitor agentforce agent effectiveness', 'agent deflection rate', 'utterance analysis agentforce'. NOT for Trust Layer audit logging — use agentforce/einstein-trust-layer. NOT for designing the topic boundaries and guardrails that cause the misrouting you are seeing in the data — use agentforce/agentforce-guardrails.

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Use when defining or refining the tone, voice, and behavioral personality of an Agentforce agent: system instruction encoding, brand voice alignment, adaptive response formats, multi-persona strategies. NOT for writing the actual conversational copy — utterances, fallback messages, escalation phrasing — use admin/agent-conversation-design. NOT for topic scope design — use agentforce/agent-topic-design.

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Design Agentforce conversations that span multiple turns without losing context: session variable scoping, conversation memory, clarifying-question patterns, topic-to-topic (now subagent) handoff, and the right abstractions for accumulating state across turns. NOT for deciding the topic boundaries themselves or out-of-scope behavior — use agentforce/agent-topic-design. NOT for single-turn agent actions and their input/output contracts — use agentforce/agent-actions.

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Use when writing or auditing the conversational copy layer of a Salesforce bot or Agentforce agent: utterance authoring strategy, fallback message copy, escalation-criteria phrasing, and persona-consistent dialog scripting across channels. NOT for designing the bot dialog structure, intent model, or handoff architecture — use architect/einstein-bot-architecture. NOT for encoding agent tone in Agentforce system instructions — use agentforce/agentforce-persona-design.

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Multi-pass structural code review with adversarial analysis, scope-aware dispatch, adversarial persona passes, and forced-finding protocol. Supports input modes: branch diff (default), PR number (#123), commit hash, pending changes (--pending). Use when asked to "review this PR", "code review", "pre-landing review", "check my diff", or "review #123". Proactively suggest when the user is about to merge or land code changes. NOT for behavioral verification against a running build (see mk:evaluate); NOT for post-implementation simplification (see mk:simplify).

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Assistente de Linguagem Grande e Visão. Habilita ajuste de instrução visual e conversas baseadas em imagem. Combina encoder de visão CLIP com modelos de linguagem Vicuna/LLaMA. Suporta chat multi-turno com imagem, resposta a perguntas visuais e seguimento de instruções. Use para chatbots visão-linguagem ou tarefas de compreensão de imagem. Melhor para análise conversacional de imagem.

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Sistemas de memória persistente para conversas com LLM, incluindo memória de curto prazo, longo prazo e baseada em entidades. Use quando: memória de conversa, lembrar, persistência de memória, memória de longo prazo, histórico de chat.

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Interactive English conversation practice partner for Japanese learners. Use this skill whenever the user wants to practice speaking English, role-play a real-life situation (hotel check-in, restaurant, airport, business meeting, technical discussion, code review, job interview, daily small talk, etc.), discuss a technical article in English, or asks how to phrase something naturally in English. Trigger on requests like 'let's practice English', 'I want to talk in English', 'role play', 'pretend you are a ___', 'discuss this article in English', 'how do I say X in English'. 英会話練習・ロールプレイ・英語表現の質問のためのスキル。「英会話したい」「英語で話そう」「ロールプレイ」「ホテルのチェックイン練習」「この記事について英語で話したい」「xxって英語でどう言う？」などのリクエストで起動する。ユーザーは音声入力で会話する想定。会話前に想定問答・頻出表現・単語を提示し、会話を開始、最後に添削まで行う。

Use when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix — message-matched to the destination landing page. Not for scoring an ad account — use ad-account-auditor; not for the post-click page — use landing-optimizer; not for organic articles — use content-writer. 广告创意/广告文案/RSA标题

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在授权渗透测试中系统性挖掘路径遍历/目录穿越（path traversal、directory traversal、zip-slip、archive/symlink 写入）。当目标用用户可控的文件名/路径读取、写入、删除、下载、解压文件时使用——典型场景：`../` 读任意文件（源码/密钥/web.xml）、解压覆盖文件拿 RCE、编码绕过前缀校验、规范化差异逃出目录。适用目标类型 Web / REST API / 桌面/移动客户端 / CI。触发场景包括用户说"测下路径遍历/任意文件读取""这个下载参数能不能 ../""解压有没有 zip slip""能读到 /etc/passwd 吗"。输出：带原始请求与读到的越权文件内容为证据的 finding 报告（含 killed 记录）。

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Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search

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Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.

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RSA (Rivest-Shamir-Adleman) is the most widely Dağıtılmış asymmetric cryptographic algorithm, used for digital signatures, key exchange, and encryption. bu skill covers generating, storing, rotating,

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RSA PKCS#1 v1.5 padding oracle saldırısı — Bleichenbacher'in 1998 saldırısı

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RSA'da özel üs d küçük olduğunda (d < N^0.25) sürekli kesirler (continued fractions) genişlemesi ile d'yi kurtarma ve şifreyi çözme saldırısı.

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RSA'da p ve q birbirine çok yakınsa Fermat factorization ile N çarpanlarına ayrılır

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。

Analyze AI conversations. TRIGGERS - Use when user needs help with ai-conversation-analytics related tasks.

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。

Design AI conversation flows with UX. TRIGGERS - Use when user needs help with ai-conversation-designer related tasks.

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。

Build AI conversation analytics systems. TRIGGERS - Use when user needs help with ai-conversation-analyzer related tasks.

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。