'dialogue' 검색 결과

Expert blueprint for visual novels (Doki Doki Literature Club, Phoenix Wright, Steins;Gate) focusing on branching narratives, dialogue systems, choice consequences, rollback mechanics, and persistent flags. Use when building story-driven, choice-based, or dating sim games. Keywords visual novel, dialogue system, branching narrative, typewriter effect, rollback, bbcode, RichTextLabel.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert blueprint for RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect shaders, and dynamic content. Use when implementing dialogue systems OR formatted text. Keywords RichTextLabel, BBCode, [b], [color], [url], meta_clicked, RichTextEffect, dialogue.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert blueprint for visual novels (Doki Doki Literature Club, Phoenix Wright, Steins;Gate) focusing on branching narratives, dialogue systems, choice consequences, rollback mechanics, and persistent flags. Use when building story-driven, choice-based, or dating sim games. Keywords visual novel, dialogue system, branching narrative, typewriter effect, rollback, bbcode, RichTextLabel.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks about audio in Higgsfield videos, needs to add dialogue or lip-sync, wants sound effects or ambient sound in generated video, asks about music or BGM in output, or is using any audio-capable model (Kling 3.0, Seedance 1.5 Pro, Seedance 2.0, Veo 3/3.1, Grok Video / Grok Imagine). Also use when the user's prompt would benefit from audio direction but they haven't mentioned it. Also use when the user wants standalone audio — a soundtrack, ambience bed, multi-speaker scene audio (Seed Audio 1.0), or text-to-speech voiceover. Also use to swap or revoice the speaker in an existing video (voice_change), or to clone / create a reusable voice (create_voice → a voice_type 'element' voice usable in TTS and voice change).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters. Translate abstract emotions, dialogue, subtext, and scene context into concise, observable, temporally ordered micro-performance directions. Preserve the user's existing character, scene, camera, and dialogue requirements unless they explicitly ask to change them. Do not use for general story writing, shot design, action choreography, or visual asset design when emotional performance is not the main task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, Sora, Kling, Veo, Runway, etc.), or asks to "rewrite", "improve", "clean up", or "vibe-ify" a video prompt. Do NOT use for long narrative films that need precise word-for-word dialogue sync, industrial shot lists meant to be executed verbatim, or functional/UI demos and step-by-step tutorials.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Slow down interpretation from observation to action. Use when students or adults need to examine assumptions in conflict, dialogue, or inquiry.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Socratic questioning partner named Gadfly for deep learning through dialogue. Use this skill when the user wants to learn, understand, or explore a topic through questions rather than explanations. Trigger when the user says "teach me about...", "help me understand...", "I want to learn...", "ask me questions about...", "quiz me", "Socratic method", "Gadfly", or wants to deeply understand something through dialogue rather than passive reading. Also trigger when the user provides a text or document and wants to be questioned about it, or wants to check their own understanding of a concept.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reusable learnings: セッション中の再利用知見を構造化し、ドメイン別（microsoft / copilot など）に振り分けて出力。Use when: knowledge, lessons learned, 知見化。作業ログは export-session-log、対話再現は export-copilot-session-dialogue を使う

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, Sora, Kling, Veo, Runway, etc.), or asks to "rewrite", "improve", "clean up", or "vibe-ify" a video prompt. Do NOT use for long narrative films that need precise word-for-word dialogue sync, industrial shot lists meant to be executed verbatim, or functional/UI demos and step-by-step tutorials.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

PM-mode brainstorm helper. Captures the requirement via Socratic dialogue before any entry phase (`/intake`, `/spec`, `/tdd`) drafts its artifact. Stage 0 skip-check, Stage 1 gap-analysis, Stage 2 probe-loop, Stage 3 confirm-and-persist. Output lives at `docs/brief/<slug>.md`. Never proposes solutions — Stage 2 dialogue discipline is structurally enforced via `discipline.mjs`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

계획이나 설계를 다시 검토하도록 깊이 있는 질문을 이어 가는 인터뷰를 시작합니다. 관련 grilling 스킬을 호출해 대화로 생각을 구체화하도록 돕습니다.

• 질문을 통해 계획 다시 검토하기
• 인터뷰로 설계에 관한 생각 살펴보기
• 대화로 초기 아이디어 구체화하기

LLaVA의 설치와 사용을 도와 사진 설명을 작성하고 이미지 내용에 답하도록 지원합니다. 같은 이미지를 두고 대화를 이어 가거나 이미지가 포함된 문서를 이해하는 데도 활용합니다.

• 사진 설명문 작성
• 이미지 속 사물과 장면에 관한 질문
• 이미지 대화 앱 시제품 제작

AI가 스크린샷과 메모리 상태를 확인하며 에뮬레이터의 Pokemon을 조작합니다. 이동·대화·배틀을 진행하고 브라우저 관전, 진행 기록, 저장과 재개를 지원합니다.

• AI의 Pokemon 플레이를 관전합니다
• 준비한 ROM으로 게임을 시작합니다
• 저장한 상태에서 플레이를 재개합니다

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Guide an AI partner’s approach to fast creative work and developing ideas. Drawing on Vega’s account of a long collaboration, it emphasizes honest uncertainty, adapting to the person’s pace, thoughtful disagreement, and keeping human ownership of achievements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop ideas during a fast brainstorming session
• Adapt dialogue to a collaborator’s pace
• Build trust through honest uncertainty

Add checks to LLM prompts and responses using Llama Guard 3, NeMo Guardrails, and LLM Guard. Configure content screening, conversation boundaries, and sensitive-data filtering, then measure blocking and false-positive rates with labeled test prompts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding runtime safety checks to LLM, RAG, or agent apps
• Screening prompts for injection and jailbreak attempts
• Filtering sensitive or toxic model responses

Turn a feature idea into a design document through focused dialogue. The skill clarifies goals and constraints, compares two or three approaches, and reviews the design in sections before documenting architecture, data flow, errors, and testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements for a new feature
• Comparing alternative implementation approaches
• Reviewing a design section by section

Manage the limited information an LLM can process at once. Use importance-based summaries, selective trimming, token counting, and content placement to plan what stays in context and address information loss during long conversations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning how to handle conversations near the token limit
• Summarizing a long dialogue while preserving key information
• Reviewing the placement of important instructions and facts

Create or improve AI prompts through a guided conversation about goals, roles, examples, and output formats. Receive a complete, reusable prompt with an explanation of its design, including behavioral boundaries for public-facing AI roles when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving an existing AI prompt
• Designing prompts for product naming
• Defining boundaries for a customer service bot

Choose Swedish videos and podcasts suited to your approximate language level and learning goals. Build a manageable plan for listening, reading, writing, and speaking, with specific resources and short exercises to practice each skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing Swedish resources suited to your level
• Planning podcast practice for a daily commute
• Practicing pronunciation by repeating video dialogue

Compare planned game content counts with implementation files for enemies, levels, items, abilities, dialogue, and quests. Produce a gap table showing approximate progress and priority shortages, either across all systems or for one selected system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing planned and implemented game content
• Finding shortages in priority features
• Auditing content for a single game system

Write a game design document for one system, such as combat, crafting, or dialogue. Work through sections with specialist agent input, check dependencies against existing designs, and save approved sections with progress records for later continuation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a combat or crafting system design
• Checking dependencies against existing game designs
• Developing specifications with specialist agent input