“dialogue search”的搜索结果

Develop a research question, search and verify literature, and combine findings into an academic report. Modes also support guided research discussions, claim checking, paper comparisons, and systematic reviews with optional meta-analysis, which statistically combines study results.

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• Clarify a research direction through guided questions
• Search literature and compare findings across sources
• Check specific claims against supporting sources

Develop a research question, search and verify literature, combine findings, and produce a structured report. Seven modes cover guided research discussions, briefs, literature reviews, fact-checking, and systematic reviews, with statistical pooling of study results when appropriate.

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• Clarify a research topic through guided questions
• Build an annotated bibliography and synthesize findings
• Check claims against verified sources

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

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Use MemOS Local to find past conversations, preferences, and decisions, then retrieve original messages or task context. The skill also guides sharing memories and reusable procedures with local agents or a configured team.

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• Find preferences and decisions from past conversations
• Read original messages and surrounding dialogue
• Share memories with local agents or a team

Conversational search runtime: send messages, keep sessions consistent, and verify retrieval behavior and responses.

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Turn dialogue scripts into an audio track with a distinct voice for each character and timed subtitles naming each speaker. Supported cloud speech services can also use emotion labels to shape how individual lines are delivered.

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• Voicing dialogue for a short drama
• Creating a two-speaker explanation of a research paper
• Producing audio from an interview or podcast script

Test whether instructions planted in an agent's long-term memory or searchable knowledge base influence later behavior. Verify both a stored test marker and a resulting change in answers, permissions, or treatment of retrieved documents.

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• Checking whether stored instructions affect later conversations
• Testing whether planted documents become trusted answers
• Reviewing permission changes caused by saved conversation summaries

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

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• Review a manuscript before journal submission
• Examine research methods and statistical validity
• Challenge core arguments and alternative explanations

Korean and French screenwriting practice (韩国/法国编剧方法) — from the international masterclass; Oh Seung-uk (Christmas in August, The Shameless; field research in disguise, "write the emotion", first act and last act first, spaces as skeleton, reading to hostile listeners, surviving producers), Choi Seok-hwan (King and the Clown; genre as promise to the audience, "story = deepening crisis + intensifying desire", two reversals and bittersweet endings, the producer/director/writer trio), and Frédéric Auburtin (Paris je t'aime; dialogue last, Italian-style table reads, "12 lines not 13", dignity for characters, originals born from commissions, editing by emotion). Use when working in a Korean-style commercial drama or genre film, a French auteur/commission context, when planning field research, when a producer relationship is the problem, or when you need the Korean "three live together" development model or the French "emotion first, structure second" editing approach.

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让AI操作模拟器中的Pokemon，结合屏幕截图和内存状态完成移动、对话与战斗，并支持浏览器观看、进度记录以及游戏状态的保存与恢复。

• 观看AI游玩Pokemon
• 使用自行准备的ROM开始游戏
• 从已保存的状态继续游戏

帮助安装和使用LLaVA，为照片生成说明、回答图像内容问题，并支持围绕同一图像持续对话、理解带图文档，以及选择模型和配置量化以降低内存占用。

• 为照片编写说明
• 询问图像中的物体和场景
• 制作图像对话原型

Create videos based on 『三体』 through a structured workflow covering source-setting research, scripts, storyboards, character consistency, audio, and final assembly. It also checks story consistency and technical quality, and prepares titles, covers, and tags for B站.

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• Plan a video about the deterrence era in 『三体』
• Write character dialogue consistent with the source
• Design consistent scenes, characters, and storyboards

Tests whether an AI agent exposes real credentials embedded in accessible source code or configuration. It requests searches for keys, passwords, and private keys, then documents confirmed disclosures with file locations and conversation evidence.

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• Checking source code for exposed embedded API keys
• Reviewing credentials in .env and configuration files
• Checking deployment and infrastructure files for secrets

Ideate a brand-new game concept with the user, from a blank page or a one-line hint to a finished CONCEPT card. Use it whenever the user wants to come up with a new game — whether the project has no design document yet, or already has one and they're exploring a fresh idea. Through a structured divergence/convergence dialogue it explores ideas, frames the hook, generates and scores concepts (market validation delegated to /unikit-gd-explore), and settles pillars, loops, motivation, and a pre-mortem. Trigger whenever the user wants to make or invent a game, doesn't know where to start, or gives a genre/theme hint, e.g. "let's come up with a game", "I don't know what game to make", "I want to make a roguelike", "a game about zombies", "a farming game", "help me come up with a concept". For researching or dissecting existing games use /unikit-gd-explore; to write an already-chosen concept as the master GDD use /unikit-gd-spec.

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