'ideas' 검색 결과

Save shared articles, posts, and ideas to GBrain with analysis connected to existing knowledge and active projects. Preserve source material, credit authors, cite factual claims, and link related pages while updating existing entries for duplicate URLs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving an article with analysis tied to an active project
• Keeping an entire tweet thread as one reference
• Recording sources and authors alongside saved ideas

Explore old files and email archives to rediscover personal writing, ideas, and meaningful conversations. Review selected items one at a time, save worthwhile material as organized notes, and track progress within explicitly permitted folders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rediscover old journals and creative writing
• Find meaningful letters and email conversations
• Recover past product and business ideas

Generate five marketing ideas for a product and its target audience, with limited budgets and resources in mind. Each idea includes a channel, a core message, an explanation of audience appeal, and reasons it uses resources efficiently.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Brainstorming promotions on a limited budget
• Comparing campaign channels and messages
• Exploring fresh approaches to product promotion

Generate five product name ideas based on brand values, target customers, and market positioning. Each suggestion includes its rationale, fit with the existing brand, memorability, and potential domain or trademark concerns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Name a new product or feature
• Explore names when rebranding
• Compare name options before launch

Develop a game concept through guided discussion of player experiences, preferences, and practical constraints. Compare ideas, define repeated player actions and design priorities, and produce either a concise game brief or a detailed concept document.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring game ideas from a genre or theme
• Turning a vague idea into a repeatable play cycle
• Defining a minimum playable version and development boundaries

Build a lasting research knowledge base linking papers, ideas, experiments, and claims. Keep failed approaches and unresolved gaps available for future work, generate compact summaries, and check records for missing connections or conflicting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keeping papers and research ideas in a project knowledge base
• Recording failed approaches and their reasons
• Reviewing links between experiments and claims

Turn research ideas and literature into a structured funding proposal. Supports KAKENHI and other funding programs, guiding literature positioning, research aims, methods, timelines, and budget justification, with external review to identify weaknesses in the draft.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a KAKENHI proposal from a research idea
• Explaining gaps relative to literature and funded projects
• Organizing research aims, annual plans, and budget justification

Explore computer science and AI research directions using eight creativity frameworks. Combine ideas across fields, question hidden assumptions, and transfer mechanisms from other disciplines to develop research questions with testable predictions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding research directions beyond incremental improvements
• Connecting mechanisms across distant disciplines
• Reframing a research problem that feels stuck

Explore a development idea through probing questions before committing to a plan. The skill can initiate research when needed and route the resulting ideas into GSD notes, tasks, research questions, requirements, or development phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Think through a development idea before planning
• Explore options for an authentication strategy
• Turn an open question into a research topic

Develop a broad research interest into evaluated project options. Specialized agents generate ideas, assess feasibility and competition, and draft abstracts and conclusions, helping researchers decide what to pursue, postpone, or drop and which assumption to test first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a broad research interest into project ideas
• Compare the novelty and feasibility of research proposals
• Check competing work before choosing a direction

Generate 15–20 research directions from a question, topic, or data opportunity, then narrow them to 5–7 candidates. Receive ranked ideas with feasibility assessments, key risks, confidence scores, and reasons for rejecting the others.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore research directions from a broad topic
• Find research uses for newly available data
• Compare ideas by feasibility and contribution

Maintain a structured planning document tree made of roadmap/status files, implementation status or handoff TODO files, topic notes, decision records, open questions, ideas/inspiration pools, and repository/file-structure hygiene plans. Use when Codex needs to create, reorganize, audit, or update a multi-file plan, design-doc folder, roadmap tree, active implementation-status file, repo cleanup/filesystem plan, ADR/decision log, ideas inbox, or linked planning knowledge base; reconcile Done/In Progress/Next state; resume work from TODO/handoff state; move resolved questions into decisions; promote ideas into formal plan artifacts; or keep plan documents and file-structure planning internally consistent without making this project-specific.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Brainstorm and rank iOS/macOS app ideas tailored to developer skills. Use when user says "what should I build", "give me app ideas", "I don't know what to build", "brainstorm app ideas", or "help me find an app idea".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rank content angles by engagement data, competition level, and platform fit. Data-driven angle selection instead of guesswork. Use this skill when the user has a keyword or product and needs to decide WHAT to create, which angle to take, which format to use, or which platform to target. Triggers on: "what angle should I use", "rank content ideas for [keyword]", "best angle for [product]", "which content idea will perform best", "help me pick an angle", "what should I write about", "content angle for [topic]", "rank my content ideas", "which approach will get the most views", "data-driven content planning", "angle ranker", "content scoring", "which hook should I use", "compare these content ideas", "prioritize my content angles", "what video should I make".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate content ideas rooted in positioning. Use when someone needs "content ideas," "what should I post," "blog topics," "LinkedIn ideas," or is stuck on what to create.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create or review marketing ideas deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for marketing ideas work.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a structured brainstorm session for startup ideas. Takes a theme or problem and generates ideas with quick gut-checks. Use when the user wants to explore a space or generate new ideas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

What you can build and do with an always-on AI agent that has episodic memory. Covers concrete product ideas, workflows, emergent capabilities from persistence plus memory, and real-world examples of deployed persistent agents. Helps you go from "I have the architecture" to "here's what it actually does for me." Activate on: "what can an always-on agent do", "persistent agent use cases", "agent applications", "proactive agent ideas", "what to build with episodic memory", "always-on agent product", "personal AI assistant ideas", "/always-on-agent-applications". NOT for: building the architecture (use always-on-agent-architecture), designing inputs (use always-on-agent-inputs), safety and privacy (use always-on-agent-safety).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Busabase-backed App-in-Skill idea desk that works like a business consultant — it interrogates a product or business idea until it is sharp, then carries it through professional, visual BRD, MRD, and PRD documents. Use when the user invokes $kelly-ideas or /kelly-ideas, wants to capture or shape a product/business idea, asks for a BRD/MRD/PRD, says they have a product idea but cannot describe it clearly, or wants an idea shaped into a spec that $kelly-app-skill-creator can build into a real app.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Help users discover what to build on Stellar. Use when a user says "what should I build on Stellar", "Stellar app ideas", "I want to build on Stellar but don't know what", "Stellar startup ideas", "find me a Stellar project idea", "I'm new to Stellar and want to build something", or "what's hot on Stellar right now". Interviews user sharply, then proposes ranked ideas grounded in real ecosystem gaps from the LumenLoop 728-project database and current SCF funding patterns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design bounded applications and workflows for an always-on AI agent with episodic memory. Covers product ideas, persistence-dependent workflows, and constructed examples that make delegation, interruption, evidence, and opt-out explicit. Activate on: "what can an always-on agent do", "persistent agent use cases", "agent applications", "proactive agent ideas", "what to build with episodic memory", "always-on agent product", "personal AI assistant ideas", "/always-on-agent-applications". NOT for: building the architecture (use always-on-agent-architecture), designing inputs (use always-on-agent-inputs), safety and privacy (use always-on-agent-safety).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

음성 입력이나 긴 독백에서 목표, 결정 사항, 미해결 질문을 정리합니다. 바뀐 방향과 보류한 주제도 남기고, 에이전트의 추측을 분리해 작업 전에 이해를 확인합니다.

• 음성으로 설명한 구상 정리
• 작업 전 요구 사항 이해 확인
• 여러 메시지에 걸친 생각 수집