'variants' 검색 결과

모델을 고정한 채 AI 에이전트의 실행 기반을 조금씩 조정합니다. 격리 환경에서 후보를 테스트하고 결과를 측정하여 테스트를 통과하고 개선된 변경을 축적합니다.

• 모델을 고정한 채 실행 기반 조정
• 계획·문맥·재시도 정책의 변경 비교
• 테스트 없이 오프라인으로 흐름 확인

Configure a RuView sensing deployment, including WiFi settings, detection thresholds, processing on devices, and coordinated nodes. It covers device provisioning, server options, firmware variants, and Cognitum Seed integration to adjust how the system operates.

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• Adjust WiFi channels and transmitter filters
• Tune presence, fall, and vital sensing settings
• Configure coordinated sensing across multiple nodes

Browse and search OmniRoute's AI model catalog from the command line. Filter by provider or capability, check model aliases, validate compatible models before adding them, and maintain manually registered model details.

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• Finding AI models by provider or capability
• Checking model aliases and name variants
• Validating a model before adding it

Audit website image file sizes against guidelines for photos, graphics, hero images, and thumbnails. Report oversized assets with target sizes, distinguish compression issues from dimension mismatches, and guide format conversion and delivery of smaller variants to mobile devices.

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• Listing oversized images and target file sizes
• Reviewing uploaded images managed by a CMS
• Reducing hero image and thumbnail file sizes

Read, query, filter, and write genomic files with pysam in Python. Extract regions, summarize variants, and count aligned bases while handling coordinate conventions, file indexes, headers, and the reference sequences needed to decode CRAM files.

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• Inspect genomic file formats, headers, and indexes
• Filter alignment records by quality and flags
• Summarize variants and genotypes in a genomic region

Plan an A/B test to compare product changes, with a clear hypothesis, variants, sample estimates, and tracking checks. Define success metrics and stopping rules before launch, then document results and decisions.

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• Planning a signup form A/B test
• Estimating sample size and test duration
• Checking event tracking before launch

Prepare GRPO reinforcement learning configurations for tasks with programmatically checkable answers, such as math, code, and structured output. Design and inspect reward functions, then select training variants when runs show instability or exploit flaws in scoring.

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• Preparing GRPO training for tasks with automatic correctness checks
• Designing rewards for output format and correctness
• Inspecting reward scores before training

Resolve a design question by building a temporary, runnable prototype. Explore logic through clickable scenarios or compare three structurally different interface variants, then record the user's decision while keeping the prototype separate from production code.

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• Comparing three different interface structures
• Exploring state transitions through clickable scenarios
• Resolving design discussions that need a visible example

Combine capabilities from multiple fine-tuned LLMs without retraining using mergekit. Choose a merging method, configure how models are blended, and evaluate the resulting model on tasks such as math, code generation, and conversation.

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• Combining math, coding, and conversation capabilities
• Blending two models at different ratios
• Comparing variants made with different merging methods

Run nf-core workflows on local sequencing files or public GEO/SRA datasets to analyze gene expression, genetic variants, or chromatin accessibility. The skill guides environment checks, sample table preparation, workflow configuration, execution, and output verification.

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• Analyze gene expression from RNA-seq data
• Identify genetic variants in WGS/WES data
• Analyze chromatin accessibility from ATAC-seq data

Turn a product description into a landing page with headlines, feature sections, pricing, FAQs, and calls to action. Receive Next.js/React components styled with Tailwind CSS, plus search metadata, structured data, and alternative copy.

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• Creating a landing page for a new product
• Building a campaign or lead capture page
• Comparing headline and page variants

Inspect and edit Figma files through JavaScript using the Plugin API. Create shapes, text, reusable components, and design variables, then check structure and screenshots as changes are made in small steps.

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• Inspect pages and existing components in a Figma file
• Create reusable components and variants
• Create and bind color or spacing variables

Update NemoClaw documentation after merged changes or audit it for outdated guidance. Verify current behavior against source and tests, edit the pages responsible for that guidance, and check affected links and generated variants.

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• Catch up documentation after merged changes
• Audit documentation for outdated guidance
• Update guides for changed user behavior

Create paid-ad images from a validated creative brief and brand profile using a configured image provider. Check dimensions, text consistency, and platform requirements, then save approved variants with a manifest recording generation details and costs.

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• Generate ad images from an approved campaign brief
• Create approved visual variants within a cost limit
• Check image dimensions and text placement

Find other occurrences of a known bug across a codebase by tracing its root cause. Gradually broaden search patterns, assess matching candidates, assign severity, and document findings with rules to help prevent recurrence.

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• Finding similar issues after discovering a vulnerability
• Building CodeQL or Semgrep queries from a known bug
• Checking whether similar code shares the same root cause

Plan or run targeted DNA panel analysis using UMIs, barcodes that identify DNA molecules. Organize consensus reads, coverage checks, and low-frequency variant results with molecular support, filtering reasons, and explicit quality limitations.

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• Plan a targeted DNA panel workflow using UMIs
• Review molecular depth and target coverage
• Check evidence supporting low-frequency variants

Retrieve genes, genetic variants, clinical annotations, and dosing guidelines from the PharmGKB API, then turn the results into concise summaries. Save the full response when you need the underlying data.

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• Look up a gene or genetic variant by ID
• Find clinical annotations related to a drug
• Retrieve and summarize dosing guidelines

Look up species information and archived genetic variants in the European Variation Archive. Uses focused API requests to return concise Markdown summaries, with raw JSON available when structured data is needed for further processing.

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• Check which species are listed in EVA
• Look up an archived variant by its identifier
• Inspect variants within a small genomic region

Create and maintain Code Connect templates that link published Figma components to existing code components. Map text, variants, visibility settings, and nested components so the displayed code snippets reflect the selected design properties.

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• Linking Figma components to existing code components
• Creating Code Connect template files
• Mapping design variants to code properties

Create and maintain Code Connect templates that link published Figma components to existing code components. Map text, variants, toggles, and nested components so code examples reflect the selected component's design settings.

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• Connect published Figma components to existing code
• Map design variants to component properties
• Reflect configurable nested components in code examples

Build or update a Figma design system to match a codebase. Organize reusable design values, light and dark themes, component variants, and documentation, then check component structure, appearance, and bindings to those values.

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• Build a Figma component library from existing code
• Set up shared design values and light and dark themes
• Create components with variants and variable bindings

Use JavaScript through Figma's Plugin API to inspect file structure and edit design elements, components, variables, and layouts. Follow incremental steps with font loading, returned element IDs, and visual checks to validate changes.

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• Edit shapes and text in a Figma file
• Set up components, variants, and shared design values
• Adjust auto-layout, fills, and variable bindings

Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.

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• Refreshing ad copy when existing creatives lose effectiveness
• Starting an ad copy brainstorming session
• Testing messaging angles for a new audience

Improve the code that plans, reviews, and controls agent work while keeping the model fixed. Darwin Mode tests changes in isolated environments and retains variants that pass tests and show measurable improvement.

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• Testing changes to planning and review logic
• Evaluating retry, tool, and memory policies
• Trying an offline dry run