385 skills · sorted by relevance
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Assess Microsoft 365 and Entra ID authentication using tenant discovery, login error analysis, and browser-based verification. It provides attempt tracking and evidence templates to distinguish credential results from access-policy restrictions.
Prepare scientific figures for journal submission with consistent panel layouts, error bars showing uncertainty, statistical significance labels, and accessible colors. Use matplotlib, seaborn, or plotly to adjust figure dimensions and export publication formats.
Create statistical charts from tabular data to explore distributions, relationships, and group differences. This skill guides plot selection, multi-panel layouts, and styling, including box plots, heatmaps, and charts with estimates and uncertainty bands.
Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.
Analyze datasets in R or Python, from exploring distributions and missing values to fitting regressions. Produce tables and figures for publication, save scripts and model results, and review the analysis for common problems.
Examine a plan or design through focused questions, each with a recommended answer. Work through connected decisions to reach shared understanding, using codebase exploration to resolve questions that the code can answer.