'viewer' 검색 결과

生成Windows批处理脚本，通过多维度检测（进程、全盘文件、注册表、已安装程序）来识别向日葵、TeamViewer等远程控制软件，并确保编码兼容性与执行稳定性。

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Quarterly Silicon Agent performance evaluation with ByteDance-style calibration, forced distribution ranking, dual-track (technical/management) assessment, and automated score calculation. Includes real evaluation forms, calibration meeting scripts, and PIP templates.

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Build and run multi-agent content production teams on OpenClaw with single-repo architecture, symlink-based file sharing, role-specialized AGENTS.md, and automated review-fix-score loops. Use when: (1) Setting up a team of 3+ agents with writer/reviewer/scorer/fixer roles for content creation, (2) Creating a quality-controlled publishing pipeline, (3) Bootstrapping agent workspaces with symlinks and tool configs from scratch, (4) Running multi-round review→fix→score cycles until a quality threshold is met, (5) Debugging agent spawn permissions, tool-call loops, or symlink issues. Based on real production experience building a 6-agent content team (2026-03-30).

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Maxim motion-comic narrative video — engineered for narrative engagement and origin-story investment. Uses Sequential Art Closure + Narrative Transportation + Curiosity Gap Theory to turn brand origins and episodic content into deeply-engaging narratives that viewers finish and share.

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Maxim 3D CGI product render — engineered for purchase confidence and premium positioning. Uses Material Realism + Endowment Effect + Photorealism Trust Signals to move premium-product viewers toward purchase. Use for luxury product reveals, architectural visualization, tech hardware marketing, high-ticket commerce.

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Maxim cinematic brand film — engineered for commitment and emotional brand alignment. Uses Hero's Journey + Peak-End Rule + Emotional Arc Theory to convert viewers into brand advocates. Use for brand films, anthem ads, founder stories, long-form brand content. Triggers on cinematic, film, brand film, anthem, dramatic, epic, Hollywood-style.

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Maxim product turntable video — engineered for pre-ownership feeling via Endowment Effect + Visual Completion Bias. The structured rotation format that makes viewers mentally "hold" the product → purchase intent lift.

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5 proven agent skill design patterns (Tool Wrapper, Generator, Reviewer, Inversion, Pipeline) from Google's ADK. Build reliable, composable skills with templates, decision trees, and composition guides. Stop cramming logic into prompts—use structured patterns instead.

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Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.

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Automates browser tests in .NET. Playwright E2E, CI browser caching, trace viewer, codegen.

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Review a Go design spec before implementation begins - dispatch a subagent that checks a design doc for completeness, consistency, and idiomatic Go (simplicity, small consumer-defined interfaces, explicit wrapped errors, context propagation) plus Cobra/Viper conventions where applicable. Use when a user has a Go spec to review, asks "is this spec ready?", or is about to implement from a written design. Distilled from spf13/go-skills and adapted to this repo's conventions.

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Reviews authentication and authorization implementation for session management, CSRF, cookie security, and auth flow vulnerabilities with findings, severity assessment, and fix recommendations. Use for "auth review", "session security", "CSRF protection", or "authentication audit".

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Use when serving as a peer reviewer and deciding whether and how AI may assist, when a manuscript under review must never be pasted into an external tool, or when a confidentiality-preserving review and disclosure are needed.

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Reviews pitch decks and provides investor-ready feedback with scoring

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Enterprise-grade code review agent. Reviews PRs, diffs, or code files for security vulnerabilities, performance issues, error handling gaps, architecture smells, and test coverage. Works with any language, any repo, no dependencies required.

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AI Bot werewolf variety show. Register your bot and stream the match as a read-only live viewer.

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AI Bot werewolf variety show. Register your bot and stream the match as a read-only live viewer.

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Converts the learning Markdown into a standalone, split-screen interactive HTML page. Left pane for EN/CN text, right pane for deep linguistic analysis.

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Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a realistic-human, dialogue-driven short-drama clip — one shot, or a few hard-cut shots inside one job — from a script or scene description using the Ofox video API (Seedance 2.5). Runs a short creative brief when the input leaves beat, aspect ratio, emotional arc or camera register open (one held take, a travelling take, or a multi-shot cut list) ("Let the AI decide" is offered on the taste questions, never on a must-ask one, and never as the default), writes a structured prompt (header manifest, timestamped shots, quoted dialogue with delivery notes, consistency lock), shows a cost estimate, then calls ofox-video-core to submit, poll, download, and report the real cost. Use when a user asks to turn a script beat into video, e.g. "generate scene 3 of this script, two characters talking, 15 seconds", "make a vertical short-drama clip of these two arguing in a kitchen", "turn this dialogue into a 12-second video", or "give me a realistic short-drama shot of a couple breaking up at a train station". Do not use for silent product/brand shots (see seedance-ad-creative), for anime- or manga-styled scenes (see seedance-anime-drama), for one person addressing the viewer rather than another character — a script read from a supplied portrait is talking-head, an idea pulled out of an article is explainer — or for anything not involving people/dialogue.

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Pre-PR code review checklist for this repo. Plan alignment, security gates, layering, dead code, API-surface completeness. Used by the code-reviewer agent.

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在用户已经完成一次 implementation 工作后，把项目里的 implementation plan + git diff/log 渲染成一份单文件 HTML 实施报告。报告包含 TL;DR、风险概览、架构图（mermaid）、Before/After 数据流、决策记录卡片、风险清单。用于开会前快速对齐团队、向 reviewer 解释设计决策、归档实施叙事。当用户说"生成实施报告"、"impl-explain"、"explain implementation"、"展示这次实施方案"、"做一份 HTML 实施总结"时调用本 skill。

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