'exploration' 검색 결과

Review a Figma design, screenshot, or written description for usability, visual hierarchy, consistency, and accessibility. Receive specific findings, explanations, and prioritized improvements, with feedback tailored to the design stage and intended users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an early screen design
• Checking navigation and onboarding usability
• Finding inconsistent colors, spacing, and typography

Create rough screen layouts with a hand-drawn look for early design exploration. Graph-paper backgrounds, variant tab labels, chart placeholders, and sticky-note annotations help present ideas as sketches before detailed visual design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring an initial screen layout
• Showing multiple design variants with tab labels
• Adding sticky-note annotations to a rough draft

Add a complete dashboard panel in plain TypeScript, from server routes and data services to the visible component and registration. The workflow checks existing routing patterns and includes request failure handling, caching, and saved panel state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a dashboard panel across server and browser code
• Connecting routes to Express or http.createServer
• Adding caching and cooldowns after repeated failures

Troubleshoot CSV and XLSX processing when execute_code_sandbox fails. The workflow locates input files, saves processing code as a Python script, captures execution errors, checks dependencies and file access, and confirms output exists before reading it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering spreadsheet processing after sandbox errors
• Locating CSV and XLSX input files
• Diagnosing dependency, path, and encoding errors

Clarify a problem before choosing solutions through structured questions about team assumptions, affected people, and overlooked stakeholders. Produce a completed problem canvas, a refined problem statement, and a question to guide solution exploration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying why users abandon onboarding
• Reframing a stakeholder's feature request
• Aligning teams on the problem to solve

Turn a product design brief and visual references into three distinct design images. Compare layouts, information priorities, and interaction approaches, then refine or combine ideas to choose a visual direction before implementation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare alternative layouts for an existing screen
• Explore three directions for a new product idea
• Refine a design using screenshots or Figma references

Build 2D browser games with Phaser, TypeScript, and Vite. Organize gameplay rules separately from rendering, implement cameras and sprite animation, and add HTML overlays for status displays and menus.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a turn-based grid tactics game
• Creating top-down exploration or side-view action
• Adding status displays and command menus

Build browser-based 3D games with Three.js, TypeScript, and Vite. Structure scene and camera control, model loading, physics, and interface overlays separately from game rules, with guidance for WebGL rendering diagnostics and performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a browser-based 3D exploration demo
• Prototype vehicle movement or character traversal
• Load GLB models and integrate Rapier physics

Search EFO, a structured vocabulary, look up individual terms, and retrieve their immediate children or broader descendants through OLS4. Get concise summaries for term identification and hierarchy exploration, with full responses saved when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find EFO terms related to a search word
• Look up details for a specific EFO term
• Explore immediate children and broader descendants

Create, edit, or validate Jupyter notebooks for SQL and Python analysis. Organize data sources, assumptions, calculations, and findings into a readable document that others can review and rerun, with execution gaps clearly identified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an analysis notebook for handoff
• Organizing experiment logs and data-quality checks
• Making existing notebooks easier to read and rerun

Create interactive views of dense datasets, spatial paths, and flows using WebGL, which uses the GPU for rendering. Choose suitable libraries and design navigation, labels, animation, and static alternatives around the analytical task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore spatial trajectories and point clouds
• Build dense scatterplots and network views
• Animate flows between locations or nodes

Generate new protein, peptide, antibody, or nanobody candidates that bind a chosen target using Boltz. The workflow covers target exploration, design setup, cost estimates, job submission, result downloads, and ranking by predicted binding confidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design new peptide binders for a target
• Generate antibody or nanobody candidates
• Explore binding sites and target input configurations

Create clear, accurate charts for dashboards, data exploration, and reports. Choose chart types that fit the message, refine labels and scales, use accessible colors, and add context and annotations to help readers understand the findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a sales dashboard for executives
• Exploring patterns in customer behavior
• Creating charts for an annual report

Fetch design structure, screenshots, variables, and assets from Figma through MCP, a connection between the agent and Figma. Use these references to guide code implementation within an existing project and troubleshoot connection setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting a specific Figma frame or layer
• Fetching images and SVG assets for implementation
• Adapting a design to existing project components

Turn Figma screens and components into code that follows an existing project's conventions. Retrieve design details, screenshots, and assets through Figma MCP, an agent connection, then reuse existing components and check the implementation against the design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a button from a Figma design
• Build a dashboard layout from Figma
• Extend existing components to match a design

Create original generative art with p5.js, using code to produce patterns and motion. Receive a written artistic concept and an interactive HTML viewer with adjustable parameters, reproducible random variations, seed navigation, and PNG downloads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create art from particle motion and flow fields
• Explore patterns by adjusting sliders
• Reproduce a favorite variation with the same seed

Build AI agents in Unity with PuerTsAgent by organizing role instructions, skills loaded when needed, and executable helper modules. The guide covers resource folders, module design, and TypeScript or JavaScript implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant for the Unity Editor
• Define a maze exploration agent's behavior
• Separate occasional knowledge into skills

Coordinate multiple AI agents through code exploration, parallel implementation, review, and fixes. Defines roles, file ownership, task dependencies, shared progress records, and recovery procedures so separate contributions can be checked and combined into a final delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Split changes across independent files
• Coordinate frontend, backend, and documentation work
• Review and fix contributions from multiple agents

Microsoft 365 / Entra ID red-team attack chain — current 2026 reality. AADSTS code reference, user enumeration vectors (with hardening status), Smart Lockout math, Conditional Access bypass options, ROPC + SAML SSO browser flow, Burp/Playwright templates. Built from authorized red-team work where ROPC spray surfaced pre-existing lockouts and CA-blocked credentials, plus real-time external attacker activity correlation. Use for any M365/Entra credential attack, password spray, user enumeration, CA-bypass exploration, or active-attacker-detection scenario.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 (Conceptual Framework Visualizer) capabilities Use when: building theoretical foundations, designing conceptual models, deriving hypotheses, critiquing frameworks, visualizing models Triggers: theoretical framework, 이론적 프레임워크, conceptual model, 개념적 모형, hypothesis derivation, critique, devil's advocate, 반론, visualization, diagram

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures. Make sure to use this skill whenever the user wants to run any empirical analysis, write analysis code, or produce output from data. Triggers include: "analyze this data", "run a regression", "write R code for this", "write Python code for this", "I have a dataset", "help me with this regression", "run a DiD", "run an RDD", "event study", "IV regression", "fit a model", "produce a table", "make a figure", "explore my data", or any request involving a dataset path or empirical estimation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.