「openai」の検索結果

Route Public Equity Investing workflows for listed-company and public-security research, earnings analysis, valuation, model updates, long/short pitches, catalysts, thesis tracking, ETF/index and constituent diligence, position sizing, hedging, dashboards, and investment memos. Use when the user is evaluating a public company, ticker, sector, portfolio position, event, earnings setup, or investment thesis through an investor lens, including what is priced in, what is mispriced, what proves or kills the thesis, and what to watch next. Do not use for private-company diligence, credit-first analysis, personal financial advice, generic company summaries, or generic document drafting with no public-equity investment context.

日本語の概要は準備中です。原文の説明を表示しています。

Use when normalizing public-company financials from source materials. Do not use for private data rooms or non-financial cleanup.

日本語の概要は準備中です。原文の説明を表示しています。

Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check findings and outputSchema warnings for submission review.

日本語の概要は準備中です。原文の説明を表示しています。

Use when building public-equity-investing catalyst calendars. Do not use for full event underwriting; use event-driven-analyzer.

日本語の概要は準備中です。原文の説明を表示しています。

Use when sizing Public Equity Investing positions, finding equity hedges, or building an integrated position-and-hedge risk plan from a listed-equity thesis. Do not use for thesis construction, standalone event underwriting, trade execution, personal investment advice, or credit-instrument risk.

日本語の概要は準備中です。原文の説明を表示しています。

Use when auditing existing Public Equity Investing models or spreadsheets. Do not use to build a new model from scratch.

日本語の概要は準備中です。原文の説明を表示しています。

Audit or critique a product flow, journey, workflow, funnel, onboarding path, checkout path, settings path, screen, or multi-step product experience by capturing screenshots first, then reporting UX, design, and accessibility findings inline from that evidence. Use Figma only when the user explicitly asks for a board. Use when the user asks to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product experience.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluate a local Codex skill in engineer-friendly terms. Use when the user says "evaluate this skill", "give me an analysis of the game dev skill", "audit this skill", "why did this score that way", "what should I fix first", or asks for a skill-specific report before benchmarking it.

日本語の概要は準備中です。原文の説明を表示しています。

Turn plugin-eval findings into a concrete rewrite brief for a Codex skill. Use when the user already evaluated a skill and now wants Codex to improve it, especially after asking what to fix first.

日本語の概要は準備中です。原文の説明を表示しています。

Load or manage Product Design's saved user context. Use when the user asks to set up Product Design, get started, onboard, save product or design sources, see what Product Design remembers, update saved context, or remember Product Design preferences. Examples include product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, and general product/design notes.

日本語の概要は準備中です。原文の説明を表示しています。

Use when building public-equity-investing initiating coverage reports. Do not use for trade pitches, memos, earnings notes, models, or tearsheets.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.

日本語の概要は準備中です。原文の説明を表示しています。

Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.

日本語の概要は準備中です。原文の説明を表示しています。

Run fast, source-grounded UX research on the highest-signal problems users are experiencing with a user-specified digital product. Use when the user asks to research user pain, UX friction, onboarding issues, docs/help problems, developer experience friction, support pain, product workflow issues, or current user complaints for a named product.

日本語の概要は準備中です。原文の説明を表示しています。

Use when triaging public-equity idea candidates. Do not use for final trade recommendations, pitches, memos, or models.

日本語の概要は準備中です。原文の説明を表示しています。

Submit compact PharmGKB API requests for genes, variants, clinical annotations, dosing guidelines, and search. Use when a user wants concise PharmGKB summaries

日本語の概要は準備中です。原文の説明を表示しています。

Run or plan deep germline WGS, WES, targeted-panel, cohort, or trio variant-calling workflows with reference-build, known-sites, QC, joint-calling, and annotation checks.

日本語の概要は準備中です。原文の説明を表示しています。

Route BCL, FASTQ, BAM/CRAM, count-matrix, or VCF sequencing requests to the right public NGS analysis skill and ask only the missing assay-specific setup questions.

日本語の概要は準備中です。原文の説明を表示しています。

Submit compact RNAcentral API requests for RNA entry browsing, single-entry lookup, and cross-reference retrieval. Use when a user wants concise RNAcentral summaries

日本語の概要は準備中です。原文の説明を表示しています。

Process, quality-control, annotate, and visualize single-cell or single-nucleus RNA-seq datasets across tissues and species. Use when Codex needs to build, adapt, or review a general scRNA-seq QC pipeline; choose dataset-appropriate cell-level filters from QC distributions; run required scDblFinder-based doublet and ambient-RNA filtering; annotate cells with matched references or marker-based fallbacks; or generate global and per-group UMAP visualizations for large scRNA-seq datasets.

日本語の概要は準備中です。原文の説明を表示しています。

Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.

日本語の概要は準備中です。原文の説明を表示しています。

Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.

日本語の概要は準備中です。原文の説明を表示しています。

Run or plan tumor-normal, tumor-only, WGS, WES, or cancer-panel somatic variant workflows with pairing, contamination, panel-of-normals, purity, QC, and annotation checks.

日本語の概要は準備中です。原文の説明を表示しています。

Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.

日本語の概要は準備中です。原文の説明を表示しています。