OpenAI

Diagnose slow loading, high memory use, and low frame rates in USD 3D scenes. Coordinate scene structure checks, validation, optimization, and before-and-after performance comparisons, then produce a report documenting findings and changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow USD scene loading
• Diagnosing low frame rates in CAD scenes
• Investigating high GPU or system memory use

Update copies of public-company Excel models using financial disclosures and mapped input cells. Deliver an updated workbook or review workbook, with source references, change logs, unresolved items, and implications for estimates and valuation where the model supports them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refresh a company model after earnings
• Map financial disclosures to model input cells
• Review changes and their source evidence

Configure how Dynamo routes requests to workers, then check model discovery and a chat response. Supports local and Kubernetes setups, including routing based on cached model data, with clear commands, results, and limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a local Dynamo frontend
• Change routing settings on Kubernetes
• Check model discovery and a chat response

Coordinate CAD and source assets through conversion to USD, a 3D scene format, material and physics assignment, and SimReady checks. Produce stage reports, with preview rendering and validated delivery packages when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare CAD assets for simulation
• Convert source assets to USD and check basic validity
• Assign materials and physics properties

Evaluate local Codex skills and plugins, understand their scores, and identify fixes to prioritize. Get explanations of token estimates, set up benchmark scenarios, and prepare workflows for measuring actual token usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate a local skill or plugin
• Understand scores and prioritize fixes
• Explain token estimates and prepare actual measurements

Create concise, source-backed profiles of public companies, covering business drivers, key metrics, valuation context, and risks. Identify stale or missing evidence and distinguish reported facts from estimates to provide a baseline for further investment research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare an initial profile of a public company
• Align company facts before valuation work
• Create a compact HTML company tearsheet

Compares a prototype’s rendered screens with its source design to find differences in typography, spacing, colors, images, and text. Produces prioritized fixes and records visual evidence from follow-up checks before handoff.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check a prototype against its Figma source before handoff
• Compare an image-based build with the original visual
• Review visual differences across screen sizes and states

Deploy a runnable prototype to the hosting service you choose, such as Sites or Vercel. Use the available deployment tool, return a working shareable URL, and identify any remaining manual steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a prototype for others to try
• Deploying a prototype to Sites
• Deploying a prototype to Vercel

Add team-specific evaluation criteria to plugin-eval by designing a metric pack, a set of custom checks and measurements. Create its manifest and JSON-producing script, then run it through the evaluator using a consistent output structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add team-specific evaluation criteria
• Define custom checks and numerical metrics
• Build a metric-pack manifest and script

Compare a listed company with relevant peers using valuation multiples, ratios linking price or company value to financial measures. Produce reports or editable workbooks covering peer selection, implied prices, data quality, and valuation assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Select comparable companies and explain peer choices
• Assess valuation premiums and discounts
• Build an Excel or Sheets valuation workbook

Audit existing public equity investment models and spreadsheets for formula errors, source support, assumptions, and scenario quality. Receive a readiness verdict, an issue log, and prioritized fixes showing whether the model supports its intended decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check formulas and controls in an existing investment workbook
• Trace important assumptions to supporting sources
• Review valuation scenarios and downside risks

Build, refactor, and troubleshoot ChatGPT apps with an MCP server, which exposes tools to the assistant, and an interactive widget. Use official documentation and examples to plan tools, scaffold code, configure security settings, and validate local operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Scaffolding a ChatGPT app with a server and widget
• Planning app tools and their inputs
• Refactoring an existing Apps SDK demo

Analyze public-company earnings after results are released, combining reported figures, guidance, estimates, and call evidence. Produces source-backed reports that examine recurring profitability, investment implications, key business drivers, and upcoming events to monitor.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a detailed report after an earnings release
• Check recurring profitability behind headline EPS
• Organize earnings-call quotes and investment debates

Analyze how changing assumptions affects an existing public-equity model or investment thesis. Build scenarios and sensitivity tables, identify where the thesis breaks, and define evidence or thresholds that would change an investment decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare upside and downside cases for an existing stock model
• Test how earnings or valuation assumptions affect a price target
• Analyze success, delay, and failure cases for a corporate event

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

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

Clarify what a product interface should be and what users should accomplish before design or prototyping begins. Ask only about missing information, summarize the brief and assumptions, then continue into the appropriate design workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying goals before designing a new interface
• Defining the purpose and scope of a redesign
• Organizing requirements before building from a screenshot

Evaluate a local Codex plugin to understand its scores and identify what to fix first. Review stronger and weaker skills, prepare benchmark runs, compare saved results across versions, and produce a readable report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review an entire plugin before comparing versions
• Understand scores and prioritize fixes
• Compare strengths and weaknesses across included skills

Turn an idea, existing code, or a previous Codex conversation into a runnable OpenAI Agents SDK app. Supports local verification, focused evaluations of agent behavior, and local deployment through the Deployment Manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a runnable agent prototype from an idea
• Adapt existing code into an agent app
• Turn a previous Codex conversation into an app

Routes listed-company investment research to specialist skills for earnings analysis, valuation, financial model updates, and portfolio risk reviews. Helps organize evidence, assumptions, and investment theses into reports, models, memos, and monitoring trackers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare earnings previews and post-results analysis
• Assess company valuation and update financial models
• Track investment theses and upcoming catalysts

Research current user problems with a named digital product using public sources and permitted internal sources. Group evidence into usability issues, rank their importance, and produce a concise brief with citations and recommended improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate where new users struggle during onboarding
• Prioritize usability problems found in user complaints
• Identify friction in documentation, APIs, and SDKs

Analyze product usage in PostHog and manage experiments, dashboards, surveys, and feature flags, which control feature availability. Use connected tools to investigate user behavior and errors, run queries, and summarize findings with numbers and links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze conversion funnels and user retention
• Manage feature rollouts and A/B tests
• Investigate errors and review session recordings

Save and manage product references and design preferences for future Product Design work. Keep product URLs, Figma files, screenshots, brand assets, and other context available, and review or update what has already been saved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Product Design with initial references
• Save Figma files and product URLs for future work
• Keep screenshots and brand references available

Diagnose failed OpenAI API requests by separating network problems, authentication errors, exhausted credits, rate limits, and access restrictions. Use concrete error messages to explain the likely cause and direct users to the appropriate next action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Separate network failures from API error responses
• Identify missing or invalid API credentials
• Distinguish exhausted credits from rate limits