Results for “quality”

Runs comprehensive SEO audits and analysis for any website, covering technical SEO, content quality, schema markup, sitemaps, images, and GEO, with industry-specific detection and actionable recommendations.

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

Vendor-neutral framework for scoring software health, estimating technical debt, assessing cloud readiness and open-source safety, and communicating quality to business stakeholders. Use when you need to quantify code health at the application or portfolio level rather than fix individual findings.

TDD patterns and test quality guidelines. Use when writing tests, setting up test infrastructure, TDD workflow, integration tests, unit tests, test strategy, mocking, test fixtures, test helpers, assertion patterns, test coverage, red-green-refactor cycle, failing tests, test quality review, or test anti-patterns.

Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.

Lightweight ContentShake AI self-check the /draft stage can call before saving. Returns just SEO + Quality scores (no full optimization) so the writer knows whether the draft is in winning territory before /quality-check runs. Fails soft when SEMRUSH_API_KEY is unset.

You are an expert in Soda, the data quality platform for testing, monitoring, and profiling data. You help developers write data quality checks in YAML that validate freshness, completeness, uniqueness, validity, and business rules — catching data issues before they reach dashboards and ML models.

Iteratively improve a Claude Code skill using the skill-reviewer agent until it meets quality standards. Use when improving a skill with multiple quality issues, iterating on a new skill until it meets standards, or automated fix-review cycles instead of manual editing.

Audit and implement behavior-preserving cleanup across types, dead code, dependencies, errors, and comments

Test coverage quality analysis — behavioral coverage, critical gap identification, test resilience evaluation.

Comprehensive guide for implementing code incrementally following established patterns, conventions, and quality standards

Quality Engineering with 51 agents across 12 DDD bounded contexts, TDD, chaos engineering

Design structured evaluation rubrics for scoring LLM and agent outputs — defining quality dimensions, scoring scales, hard gates, score descriptions, and edge cases. Load when the user asks to create an eval rubric, define evaluation criteria, design scoring dimensions, write an eval spec, or says "what should I evaluate", "design a rubric", "create eval criteria", "define quality dimensions", "evaluation rubric for", "how do I measure quality of". Sub-skill of eval-output orchestrator.

Performs a meticulous final pass on frontend work, checking visual alignment, typography, color contrast, interaction states, micro-interactions, content, icons, forms, edge cases, responsiveness, performance, and code quality to elevate work from shipped to polished.

Implements a feature phase by phase from a phased JSON or Markdown plan, with configurable unit-test and quality-gate choices per phase, token-budgeted execution, resumable state, and TDD handoff.

Evaluate everything the PA agent manages — tasks, skills, PA network health, billing, calendar connections, and memory quality. Use when: owner asks for an evaluation, wants to know what's working and what isn't, or requests a performance report. Combines supervisor status with quality scoring.

Review this PR or diff for quality, security, and maintainability. Use when reviewing pull requests, examining a named change set, or the user asks for a code review of current work. Repo-wide anti-patterns → audit-code-quality. Bulk transform semantics → audit-codemod-safety.

ESLint - pluggable JavaScript/TypeScript linter USE WHEN: user mentions "ESLint", "JavaScript linting", ".eslintrc", asks about "eslint config", "linting rules", "eslint plugins", "flat config" DO NOT USE FOR: Biome - use `eslint-biome` skill, TypeScript-specific - use `typescript-eslint` skill, code quality principles - use `quality-common`

VS-Enhanced Academic Style Humanizer - Transforms writing patterns to achieve authentic scholarly voice Applies transformations from G5 analysis to create natural academic prose Use when: improving AI-assisted writing quality, preparing manuscripts, enhancing scholarly voice Triggers: humanize, transform, make natural, improve writing quality, improve style

Audit codebase for opportunities to reduce lines of code while preserving functionality, performance, and quality

Building production-quality CLI tools with Cobra command framework and Viper configuration management

Tone down overly bold or visually aggressive designs. Reduces intensity while maintaining design quality and impact.

Audit criteria, severity definitions, report JSON schema, and quality thresholds for wp-audit agents

Tone down overly bold or visually aggressive designs. Reduces intensity while maintaining design quality and impact.

Two-stage review engine with four-layer quality model for the WinDAGs meta-DAG. Receives completed node outputs and produces ReviewResult containing QualityVector. Stage 1 (Haiku) checks Floor + Wall on every node. Stage 2 (Sonnet) runs Ceiling evaluation conditionally using economic escalation formula. Enforces BC-EVAL-001 through BC-EVAL-006. Activate when operating as the Evaluator role in the meta-DAG, when reviewing node outputs, when computing quality vectors, or when deciding Stage 2 escalation.

Generate publication-quality infographics using Nano Banana Pro AI with Gemini 3 Pro quality review and optional Perplexity Sonar research. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

Evaluate scientific claims and evidence quality by assessing experimental design, identifying biases and confounders, and applying evidence grading frameworks like GRADE and Cochrane Risk of Bias.

Python code-quality anti-patterns and review checks: exception-hierarchy correctness, singleton identity comparison, narrow exception handling, wildcard-import avoidance, magic-number naming, and dead-local removal. Use when reviewing or self-reviewing Python code for correctness and readability defects that linters and reviewers should catch.

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

Run a comprehensive SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Orchestrates 12 specialized sub-skills and 7 subagents for full-site analysis.

Final quality pass before shipping. Fixes alignment, spacing, consistency, and detail issues that separate good from great.

Profile an unfamiliar dataset — shape, grain, quality, nulls, distributions, and duplicates — before any analysis is trusted.

Validate process JS files for correct SDK patterns, task definitions, syntax, and quality gate implementation.

Final quality pass before shipping. Fixes alignment, spacing, consistency, and detail issues that separate good from great.