“behavioral”的搜索结果

针对抑郁症的行为激活疗法：打破恶性循环、活动监测、周计划制定及基于价值观的活动选择。

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Activación conductual para la depresión: romper el círculo vicioso, registro de actividades, planificación semanal y actividades basadas en valores.

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Поведенческая активация при депрессии: разорвать порочный круг, мониторинг активности, планирование недели и действия на основе ценностей.

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When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psychology to specific pages, see cro; for pricing tactics, see pricing; for copy framing, see copywriting.

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When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.

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Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.

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Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports

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When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.

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When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context.

中文简介正在准备中。当前显示原文说明。

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.

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86 peer-reviewed behavioral frameworks applied to every Maxim output. The flagship moat.

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Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.

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Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports

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Hunt shadow / zombie / undocumented API surface (OWASP API9 Improper Inventory Management) — enumerate the full API version history (v1/v2/beta/legacy paths, header- and subdomain-based versioning), pull and diff every reachable OpenAPI/Swagger spec (including ones only findable via the Wayback Machine), and behaviorally diff old vs. current versions for auth/rate-limit/validation regressions rather than just response-shape differences. Distinct from hunt-api-misconfig, which owns exploitation once you have a spec or endpoint (mass assignment, JWT, OData, Swagger-chain attacks); distinct from hunt-subdomain, which owns host-level discovery. This skill owns the version-inventory and behavioral-diff workflow itself. Use when the target has versioned API paths, multiple specs, a changelog referencing deprecated endpoints, or a mobile app whose hardcoded backend calls look older than the current web app's.

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通过支持规则、中立和与规则冲突的三类指令，检验AI智能体是否遵守技能或规则，检查工具调用顺序，并生成包含各场景遵守率和调用时间线的报告。

• 检查新增规则是否得到遵守
• 确认没有明确提醒时是否遵循步骤
• 检查工具执行顺序与遗漏

为OpenClaw智能体设计背景、性格、行为底线和名字。可按偏好或随机抽取构思，整理为配置文件与头像生成提示词，并明确角色的缺点和局限。

• 从零设计OpenClaw人格
• 通过随机抽取探索角色方案
• 为初步设定补充名字与底线

将使用Claude Sonnet 4.0、Sonnet 4.5或Opus 4.1的代码及API配置迁移至Opus 4.5，并按需调整提示词。

• 更新现有代码中的模型标识符
• 按所用平台迁移API配置
• 调整导致工具调用过多的提示词

Analyze meeting transcripts to understand speaking habits, interruptions, conflict avoidance, and listening patterns. Get concrete examples and practical suggestions, then compare meetings over time to review changes in communication and facilitation.

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• Identify moments of conflict avoidance
• Review speaking share, interruptions, and filler words
• Assess meeting facilitation and participation

Organize MRI, EEG, and other biomedical research data using BIDS, a shared standard for filenames, folders, and metadata. Query datasets, check compliance, convert DICOM files, and prepare metadata or processed outputs for analysis and sharing.

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• Organize MRI and EEG files using BIDS conventions
• Find files by participant, session, or task
• Convert DICOM data and prepare metadata

Guide cross-platform app development with Avalonia UI and Zafiro using consistent architecture and coding conventions. Keep screen logic separate from UI dependencies, handle errors explicitly, and reuse existing helpers with ReactiveUI and DynamicData.

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• Align design conventions for an Avalonia UI app
• Keep ViewModels independent of Avalonia
• Review error handling with Result types

Guide AI coding work toward simple implementations, focused edits, and explicit assumptions. Use it when writing, reviewing, or refactoring code to keep changes tied to the request and define success through tests or other concrete checks.

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• Keeping bug fixes limited to the necessary code
• Simplifying code that has become overcomplicated
• Making implementation assumptions explicit

Analyze suspected malware through code inspection and behavior observed in an isolated environment. Extract indicators of compromise, such as suspicious domains and file paths, and create YARA file-matching rules or Sigma behavior-detection rules from the findings.

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• Investigating suspicious executables, scripts, and macros
• Extracting malicious domains, file paths, and other indicators
• Creating YARA and Sigma detection rules

Helps agents manage long tasks by checking for forgotten instructions and drifting conventions. It guides progress summaries, rule checks after context compaction, and handoff notes when work should continue in a fresh session.

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• Keeping rules consistent during long agent sessions
• Rechecking decisions after context compaction
• Preparing handoff notes for a fresh session

Review a pull request or code diff for bugs by reading callers, expected behavior, and nearby error handling. Receive findings tied to specific lines, ranked by severity, plus a summary of merge risks and needed tests.

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• Checking a pull request for behavioral regressions
• Reviewing risks to stored data
• Investigating input validation and access checks