'brainstorming' 검색 결과

Generate domain name ideas based on a project's purpose and audience, then check availability across endings such as .com, .ai, and .dev. Receive alternative names and explanations to help compare suitable options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a domain for a new product
• Finding alternatives to a taken domain
• Naming a personal portfolio website

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

Guides an agent in choosing and invoking relevant skills before responding or acting. It defines workflow priorities, points to environment-specific references, and distinguishes reference skills that should load only when explicitly requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose relevant skills before starting a task
• Set the order for workflow and implementation skills
• Check skill references for the current agent environment

Turn development ideas into agreed designs through focused conversation. The skill clarifies goals, constraints, and success criteria, then chooses a process for feasibility research, small changes, or new systems before implementation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying the purpose of a new feature
• Agreeing on a design for an existing code change
• Comparing approaches for a new system

Turn development requirements into an implementation plan with specific files, function signatures, tests, and verification commands. Use it before coding to document decisions and divide the work into independently testable tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a feature before writing code
• Handing implementation work to another developer
• Checking that planned tasks cover every requirement

Guide an AI agent through research, implementation, and verification with fewer interruptions. The skill emphasizes evidence, concise reporting, and saved progress notes, with three working modes that adjust how closely the user follows the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating engineering tasks through verification
• Reducing interruptions during focused work
• Resuming long tasks from saved progress notes

Turn messy meeting notes or transcripts into a clear recap of decisions, tasks, discussion points, and open questions. Extract stated owners and deadlines while keeping proposals separate from commitments and marking missing details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a shareable recap from meeting transcripts
• Extract tasks with stated owners and deadlines
• Separate brainstorming ideas from confirmed decisions

Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing ad copy when existing creatives lose effectiveness
• Starting an ad copy brainstorming session
• Testing messaging angles for a new audience

Analyze competitor ads from Meta Ad Library and Google Ads Transparency Center, organize their messages and formats, and compare them with your strategy to find unused angles and ideas for campaign tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Quarterly reviews of competitor advertising
• Finding unused angles before creative brainstorming
• Understanding advertising in a new market

Turn a research interest into a defined question and practical plan. Use structured brainstorming, literature review, gap analysis, and method comparison to produce a research proposal, organized review, and references, with Zotero support for paper management.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop a research topic using 5W1H
• Organize literature and identify unanswered questions
• Compare research methods and required resources

Carry a research task from brainstorming and planning through code implementation, review, and documentation. Multiple agents handle independent implementation tasks in parallel, then report the resulting files, changes, and findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Take a research task from initial ideas through implementation
• Split independent implementation tasks among multiple agents
• Run review and knowledge documentation after implementation

Build and test scoring criteria for selecting relevant research papers. Refine the rules against your judgments, screen large sets of abstracts, and reassess saved papers when criteria change, with records of scores and revisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define relevance criteria before a large literature search
• Investigate papers incorrectly included or excluded
• Reassess saved abstracts after changing screening criteria

Turn observations or preliminary data into competing scientific hypotheses grounded in literature. Develop explanations, assess what could disprove them, and produce testable predictions and experimental designs in a structured report with diagrams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop hypotheses from observations or preliminary data
• Compare competing explanations for a phenomenon
• Define predictions that could disprove a hypothesis

Trace system behavior across code, APIs, authentication, data, and networks through an interactive workflow. Store steps, branches, and findings in SQLite, then export diagrams and documentation for security audits, debugging, architecture reviews, or incident analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting authentication flows for security audits
• Tracing branches while debugging system behavior
• Reviewing how system components interact

Explore ideas and working methods through focused conversation, one question at a time. Identify recurring patterns, surprising contradictions, and distinctive approaches, then turn discoveries into named concepts and a documented session summary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring an early idea through conversation
• Explaining what makes a working method distinctive
• Naming a concept that is difficult to describe

Build testable scientific hypotheses from observations or preliminary data. Compare competing explanations against published evidence, define measurable predictions, and propose experiments, then organize the findings into a research report with diagrams and detailed supporting material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop testable hypotheses from preliminary observations
• Compare competing explanations using published research
• Plan experiments that distinguish between hypotheses

Turn development ideas into clear designs through guided discussion. The skill clarifies goals, requirements, and constraints, then adapts the process to a feasibility investigation, a small existing-code change, or a larger architectural design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements before adding a feature
• Exploring whether an idea is feasible
• Comparing designs for a new project

Establish a routine for checking and invoking relevant skills before answering or taking action. It prioritizes skills that define the workflow, then guides the agent toward task-specific skills and any checklists they contain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking relevant skills at the start of a conversation
• Organizing skill order before building a feature
• Choosing a debugging workflow before fixing a bug

Explore research ideas through conversation, question existing assumptions, and connect methods across disciplines. The skill helps identify research gaps, compare ways to combine papers, and summarize promising directions with practical next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore new research topics and directions
• Find connections across scientific disciplines
• Question assumptions in existing research

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Also owns explicit HypoGeniC-style or automated LLM-driven hypothesis generation/testing requests inside this single skill. For open-ended ideation use scientific-brainstorming.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Captures what an AI agent is supposed to do — its purpose, boundaries, and success criteria — as a durable snapshot for anyone building, evaluating, reviewing, or changing it. Explores the user's codebase and docs first, then asks one intent question at a time for what source cannot supply. Hands its answers to ethos-write, which writes ethos.md. Use over generic brainstorming when the goal is an agent's ethos.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.