'quality' 검색 결과

Screen listed companies using seven financial measures covering profitability, cash flow, debt payments, and share dilution, which reduces existing shareholders' ownership. Produce comparison tables showing exclusions, exemptions, borderline results, and missing data to guide further research.

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• Screening several listed companies before deeper research
• Comparing financial quality within an industry
• Reviewing index constituents or investment themes

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

Build or review quality control workflows for single-cell and single-nucleus RNA sequencing data. Select filters from observed data, detect doublets, assign cell types, and create UMAP plots that summarize cell relationships, while recording analysis decisions and outputs.

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• Choosing quality filters from dataset distributions
• Detecting doublets and checking ambient RNA
• Assigning cell types using references or marker genes

Plan or run ATAC-seq analysis to identify accessible DNA regions. Check sequencing quality, align reads, detect peaks, combine evidence across replicate samples, and prepare comparisons between conditions with quality summaries and visualization tracks.

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• Check the quality of ATAC-seq samples
• Detect accessible DNA regions from FASTQ or BAM files
• Build consensus peaks across replicate samples

Design workflows for completing business lead records, verifying contact details, and ranking prospects against an ideal customer profile. Plan provider sequences in Clay, scoring rules, and data quality checks around lead volume, existing tools, and budget.

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• Designing a workflow to fill missing lead data
• Defining lead scores against an ideal customer profile
• Reviewing email verification when bounce rates rise

Build working web pages, components, and app interfaces around a clear visual concept. Coordinate typography, color, spacing, motion, and interaction details, adapting layouts to different screen sizes while avoiding repetitive visual templates.

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• Building a landing page with a distinct visual direction
• Creating a dark-themed analytics dashboard
• Implementing responsive web components

Create Three.js game effects that clearly communicate attacks, hits, damage, and status changes. Define each effect’s purpose and lifetime, limit resource use, and test overlapping effects, repeated triggers, low-quality settings, and reduced-motion alternatives.

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• Distinguish attack warnings from hit effects
• Create damage and status feedback
• Limit particle counts during repeated attacks

Organize substantial tasks into a cycle of creation, independent review, and revision while preserving the original request. Turn broad quality goals into observable checks, collect evidence, and finish with verified results or a clearly identified blocker.

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• Turning vague quality goals into observable completion checks
• Coordinating independent workstreams and reviewers
• Comparing anonymous candidates against a shared benchmark

Analyze TypeScript and JavaScript code for reusable design structures known as GoF patterns. Get detection reports, quality scores, and prioritized refactoring suggestions that account for the frameworks and libraries already used in the project.

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• Find existing design patterns in a codebase
• Plan refactoring for complex conditionals
• Evaluate the quality of a pattern implementation

Supports development with code quality and security checks, change impact analysis, documentation templates, and coordination across multiple agents. It defines checkpoints for new modules and refactoring, plus roles and file ownership rules for parallel work.

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• Check module structure and documentation
• Review quality and security after refactoring
• Generate README.md and DESIGN.md templates

Review code changes and pull requests for correctness, security, performance, and test quality. The skill helps prioritize issues, write specific and constructive feedback, and create shared review checklists and standards for a development team.

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• Reviewing code changes and pull requests
• Writing review comments with clear priorities and fixes
• Creating shared review checklists for a team

Review academic papers before submission by checking structure, logic, citations, figures, and writing clarity. Audit major claims against available evidence, identify overstatement or missing support, and suggest whether each claim should be kept, softened, revised, or removed.

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• Checking a paper before journal or conference submission
• Reviewing the structure and logic of a first draft
• Auditing claims for unsupported or overstated conclusions

Review explicitly selected tests or bounded pull request changes without running or editing code. Receive a follow-up decision for each test, A–F quality bands where assessable, evidence-based notes, and concrete suggestions for improvement.

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• Reviewing a named test method
• Assessing every test in explicitly selected files
• Preparing per-test feedback for pull request changes

This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.

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Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changes

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Verify that every quantitative claim in the paper is traceable to an analysis output file, and that no important output was omitted. Make sure to use this skill whenever the user wants to check that the paper and analysis are consistent before submission. Triggers include: "run the quality gate", "check the paper matches the analysis", "verify consistency", "does the paper match my results", "check my numbers", "are my tables right", "quality check before submission", "verify my claims", "make sure everything is consistent", "double-check the paper against my output files", or any pre-submission integrity check between paper text and computed results.

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Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.

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Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

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Qualify the exact final diff for a LoopX-managed goal. Use when goal policy enables change_quality_qualification, before a non-trivial delivery or merge, and when producing or repairing an exact-scope quality receipt. The workflow is language-neutral, permits at most one policy-authorized safe-fix pass, and never grants merge or repository authority.

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Score and diagnose Google Ads landing pages. Use when asked to audit a landing page, check landing page quality, diagnose high-CTR but low-conversion-rate ad groups, improve Quality Score's Landing Page Experience component, or compare an ad group's messaging against its landing page. Trigger on "landing page audit", "landing page score", "landing page quality", "why is my conversion rate low", "LPX", "landing page experience", "ad to page match", or when `/google-ads-audit` surfaces a high-CTR / low-CVR ad group.

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Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

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Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.

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Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

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Combined verification — recite (description quality via cold-read prediction) + validate (schema compliance) + review (health checks). Use as a quality gate after creating notes or as periodic maintenance. Triggers on "/verify", "/verify [note]", "verify note quality", "check note health".

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