'machine-readable' 검색 결과

Verify a qwen-code pull request in an isolated environment by comparing its behavior with a control build and running focused tests. Produce a report and machine-readable verdict that distinguish measured results from areas left untested.

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• Verify the central behavior changed by a pull request
• Compare results between the PR and a control build
• Recheck earlier findings after a PR update

Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.

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인물 이름, 파일, 개념 등을 출발점으로 웹, 코드, 저장된 정보를 조사합니다. 관련 대상과 관계를 출처가 포함된 조사 자료와 JSON으로 정리합니다.

• 인물이나 개념의 관련 정보 파악
• 파일과 코드 식별자의 참조 관계 조사
• 설계 결정 기록과 관련 정보 조사

Audit and add structured organization data on a business or brand homepage. Check machine-readable details such as the official name, logo, contact information, and social profiles to help Google understand the organization and its search information panel.

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• Audit organization data on a company homepage
• Add brand names, logos, and contact details in JSON-LD
• Check links to official social profiles

Add or review Product structured data, machine-readable product details, on shop pages. Check names, images, prices, availability, and ratings against visible content, then validate the markup for eligibility to show enhanced Google search results.

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• Add Product JSON-LD to product pages
• Check structured prices against displayed prices
• Review availability and rating fields

Audit structured data for businesses serving a physical location or geographic area. Check or add LocalBusiness JSON-LD, a machine-readable format for business details, verify addresses against visible page content, and validate the markup with Google's Rich Results Test.

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• Audit structured data on a local business website
• Add business details to home and contact pages
• Choose a specific type for restaurants or stores

Audit breadcrumb structured data, a machine-readable description of a page’s navigation path. Check that BreadcrumbList matches the visible trail and site hierarchy, then guide JSON-LD changes using the rendered HTML and HTTP response.

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• Check breadcrumb structured data
• Add JSON-LD for visible breadcrumbs
• Review site hierarchy after template changes

Review author information in structured data, a machine-readable description of page content. Check names, profile links, and connections to articles or pages, then identify corrections using the rendered HTML and HTTP response.

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• Check author data on article pages
• Connect authors to external profiles
• Review author markup in page templates

Check article pages for structured data, machine-readable details that help search engines understand content. Review required properties, add Article metadata in JSON-LD format, and verify the rendered page and HTTP response for specific implementation gaps.

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• Checking structured data on blog articles
• Adding Article metadata in JSON-LD format
• Finding missing headlines, images, dates, or authors

Train and run Uni-Mol Tools models to predict molecular properties from CSV data. Organize experiments into projects, compare model performance, rank results, and manage storage through interactive commands or machine-readable JSON output.

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• Train molecular property models from CSV data
• Predict properties with a trained model
• Organize experiments and compare model performance

Manage scientific datasets with DataLad and git-annex, which tracks large files separately from Git history. Retrieve selected data, record analysis commands and their inputs and outputs, rerun recorded work, and publish history alongside file content.

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• Retrieve only the research data you need
• Resolve files that contain pointers instead of data
• Record and rerun analysis steps

Add clear runtime reporting to Python, PowerShell, or Node.js batch scripts. Design start messages, progress counts, item failures, and final summaries while preserving existing result output, error handling, and exit codes, then verify visibility during execution.

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• Add progress reporting to long-running batch scripts
• Report individual failures and final outcome counts
• Keep progress logs separate from machine-readable results

Document bug fixes and incident recovery with a structured receipt covering the problem, cause, change, and verification evidence. Distinguishes verified results from partial or blocked work, identifies missing proof, and specifies the next check needed to close the gap.

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• Record the evidence supporting a bug fix
• Report missing checks after a partial repair
• Document an incident blocked by an external condition

Audit a public website for search visibility and AI readability, then prepare prioritized fixes, configuration files, and revised copy. For connected stores, review product listings and apply approved batches of updates to titles, descriptions, and SEO fields.

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• Audit a website for search and AI readability
• Prepare crawler settings and machine-readable business data
• Rewrite page titles, descriptions, and content

Check a gbrain installation and its migration status, including pending or incomplete updates. Return a concise health summary, proposed repairs, and a machine-readable JSON report for scheduled briefings, troubleshooting, or CI checks.

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• Check gbrain health on demand
• Include problems in a scheduled morning briefing
• Investigate stalled jobs or knowledge updates

Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.

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• Check existing structured data for errors
• Generate markup for products, articles, or businesses
• Review deprecated schema types

Summarize ScenarioRunner results to see which scenarios passed and which checks failed. Compare runs before and after changes, or analyze recorded driving to produce measurements and plots of vehicle distance and deviation from the lane center.

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• Checking scenario pass and fail results
• Comparing results before and after controller changes
• Plotting vehicle distances from a recorded run

Design REST or GraphQL APIs by defining data relationships, requests, responses, and authentication. Produce OpenAPI specifications, machine-readable API descriptions, with consistent errors, pagination, and versioning plans, then validate contracts using a mock server.

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• Designing a new API from business requirements
• Creating and validating OpenAPI specifications
• Standardizing errors and paginated responses

Validate Claude Ads data contracts, scoring inputs, run outputs, installation procedures, and release readiness. Return machine-readable pass or fail results with evidence, the most urgent blocker, and recovery steps, while checking source freshness and safe removal boundaries.

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• Checking Claude Ads run outputs and scoring inputs
• Auditing evidence and checks before a release
• Verifying installation instructions and archive checksums

Classify messages, rate content, or estimate probabilities using defined question types. Receive machine-readable answers, with confidence scores for classification and ratings, and apply the same questions to multiple inputs in a batch.

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• Routing customer inquiries to departments
• Rating support quality against defined criteria
• Classifying sentiment across multiple messages

Query STRING for protein interaction networks, interaction partners, and enrichment results showing functions common in a gene set. Receive concise summaries with limited result counts, with options for machine-readable JSON or saved full results.

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• Checking a protein’s interaction network
• Finding interaction partners for a protein
• Reviewing functions enriched in a gene set

Search Rhea, a biochemical reaction database, using reaction IDs, compound names, enzyme classification numbers, or reaction terms. Get concise summaries of focused search results, with raw JSON available when you need machine-readable output.

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• Looking up a reaction by its Rhea ID
• Finding reactions associated with a compound
• Searching reactions by enzyme classification number

Retrieve focused target, disease, drug, variant, and study data from Open Targets Platform. Produce concise summaries or disease-by-source evidence matrices to compare available evidence while keeping queries and returned results compact.

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• Summarize information about a target or disease
• Look up drug, variant, or study data
• Compare disease evidence scores across data sources

Query the ChEMBL API for molecules, biological targets, activity records, and mechanisms of action. Search by text or look up an identifier, then receive concise summaries or JSON output when machine-readable results are needed.

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• Look up a molecule or target by its ChEMBL identifier
• Retrieve activity records for a molecule
• Review mechanisms of action