'openai api' 검색 결과

Build or update a Figma design system from an existing codebase. Organize shared design values, light and dark themes, reusable components, and documentation through staged reviews, then check consistency, accessibility, and links between design and code.

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• Creating shared color and spacing variables from code
• Setting up light and dark themes
• Building a reusable component library with documentation

Read design review notes attached to a pull request’s screenshots, locate the affected components, and fix the product code using the team’s design rules. Repeat the review and inspect screenshots to verify the result.

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• Resolving design notes on a pull request
• Reproducing reported layout problems locally
• Fixing shared components behind repeated UI issues

Add DeepEval tracing to Python AI applications so execution steps appear in Confident AI. Choose a supported integration or manual @observe instrumentation, then capture inputs, outputs, step types, tags, and metadata.

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• Trace execution steps in a Python AI application
• Select tracing integrations for an existing framework
• Add manual tracing with @observe

Build document search and AI retrieval workflows with Chroma, a database for numerical representations of text. Cover document storage, meaning-based search, metadata filters, persistence, and connections to LangChain and LlamaIndex.

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• Building document search based on meaning
• Adding document retrieval to AI answers
• Filtering search results by document attributes

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

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• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Design and implement RAG systems, which retrieve documents to inform AI answers. Get document preparation strategies, vector database comparisons, combined keyword and meaning-based search, result reranking, and an evaluation plan for retrieval quality.

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• Design an AI application that answers using internal documents
• Compare vector databases and document splitting strategies
• Improve search through keyword matching and result reranking

Create logos, illustrations, product images, and other visuals from text, or edit and combine reference images. The skill guides generation through Hive, waiting for results, and delivering saved images, with costs charged to Hive credits.

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• Create a logo or illustration from a written brief
• Change the background of a product photo
• Place an existing logo on a mockup

Audits GitHub Actions workflows that run AI coding agents. Traces how attacker-controlled content reaches prompts, checks permissions and sandbox settings, and reports evidence, severity, and fixes for prompt injection and related configuration risks.

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• Reviewing workflows that run AI coding agents
• Tracing issue and PR content into agent prompts
• Checking sandbox settings and user allowlists

Set up NemoClaw, create an isolated sandbox for OpenClaw, and start the first agent conversation in a browser or terminal. Follow onboarding for model connections, optional search and messaging, and network policy settings.

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• Install NemoClaw and create the first sandbox
• Configure a model connection during onboarding
• Prepare Windows with WSL 2 and Docker Desktop

Look up structure metadata in RCSB PDB, search for entries by keyword, and retrieve sequences in FASTA, a text format for biological sequences. Receive concise summaries or short sequence previews, with raw output available on request.

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• Check basic metadata for a known PDB entry
• Find structure entries using a keyword
• Retrieve an entry's sequences in FASTA format

Find proteomics projects, which study proteins on a broad scale, in PRIDE Archive and summarize their metadata. Search by keyword or use a PXD accession to inspect a specific project's registered information.

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• Find proteomics projects by keyword
• Look up a project by its PXD accession
• Review concise summaries of project metadata

Search UniProt protein records by gene or identifier and receive concise summaries. The skill supports UniProtKB, UniRef, and UniParc lookups, with optional file saving for full JSON records or FASTA, a text format for biological sequences.

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• Find protein records by gene and organism
• Look up a protein by its accession
• Inspect UniRef clusters and UniParc records

Add burned-in captions to a finished video using Whisper timings from its own audio. Choose paper, bold, or clean styling, and optionally use narration text to preserve intended spelling. Outputs include the captioned video and an SRT file.

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• Adding captions to a finished video
• Restyling captions for social media shorts
• Preserving brand names and numbers from a narration script

Retrieve public collection and dataset metadata from CELLxGENE Discover and turn it into concise summaries. Use targeted collection lookups to review single-cell research data, with raw JSON available when machine-readable output is needed.

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• Review a specific single-cell data collection
• Explore available public collections
• Get collection metadata as JSON

Build or update a Figma design system from existing code. Organize shared colors, spacing, and typography, create reusable components with states and theme bindings, document their use, and check differences between the implementation and Figma.

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• Building a Figma component library from existing code
• Organizing shared settings for light and dark themes
• Creating a button with variants and variable bindings

Predict the structure and binding of one defined protein, RNA, DNA, or ligand complex with Boltz. The workflow covers cost confirmation, job submission, result downloads, and summaries of structure and binding metrics.

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• Predicting the structure of a defined molecular complex
• Docking one ligand to a protein
• Assessing protein–protein binding

Estimate small molecule solubility, permeability, and lipophilicity with Boltz using SMILES, a text notation for molecular structures. Process individual molecules or lists, review costs before submission, and receive results mapped to each input.

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• Estimate properties for a molecule from its SMILES
• Evaluate a molecule list from a CSV file
• Compare predicted properties during initial screening

Turn articles, reports, papers, notes, or outlines into a visually consistent PowerPoint deck. Each slide is a generated image, with an approval workflow for the outline, style, and sample, plus quality checks and speaker notes.

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• Turning an article or report into a presentation
• Organizing a paper or notes into a slide deck
• Creating slides with a consistent visual style

Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.

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• Add AI chat to an application
• Build an agent that calls external tools
• Build answers using retrieved documents

Build document search with AgentDB that finds related content by meaning. Store documents as numerical representations, combine similarity search with metadata filters, and retrieve relevant passages for systems that generate answers using source material.

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• Build answers grounded in retrieved documents
• Add meaning-based search to a knowledge base
• Find documents with similar content

Delegate a self-contained coding task to Codex CLI from another agent using ChatGPT subscription authentication. Run independent implementation, request a second opinion, or verify changes, with separate working copies for parallel tasks.

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• Delegating a clearly scoped feature or bug fix
• Running independent implementation tasks in parallel
• Getting a second opinion on code

Use Cua Driver to operate desktop apps and browsers for testing, form filling, calendar entries, screenshots, and requested demo recordings. Inspect the target window before acting and check its state afterward to verify results.

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• Testing app screens and reproducing visual bugs
• Filling forms through the graphical interface
• Adding calendar entries through an app

Measure JS SDK test coverage and identify untested behavior using coverage reports. It supports gap assessments and scoped test improvements, prioritizing public behavior, error handling, cancellation, and lifecycle paths, then reporting verification results and remaining gaps.

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• Auditing current JS SDK test coverage
• Investigating a decline in coverage metrics
• Adding tests for uncovered public behavior