Results for “quality”

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Generate production-quality React + Tailwind CSS code using the Rayden UI component library with correct props, design tokens, and layout patterns.

Guides the red-green-refactor cycle for implementing features with test-driven development, including test quality guidelines, framework setup, and commit patterns.

Guides the creation, editing, and verification of agent skills using a test-driven development approach, with structured documentation and quality gates.

QA lead skill for validation strategy, risk-based evidence planning, and cross-role quality governance. It must not request new or updated test cases unless the user explicitly asks for test authoring.

Diagnoses how to turn a confirmed content topic into effective content, covering format matching, five-dimensional quality assessment, and actionable next steps.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Guides the creation of high-quality MCP servers, covering design, implementation, testing, and evaluation for integrating external services with LLMs.

Executes implementation plans by dispatching a fresh subagent per task and running two-stage reviews for spec compliance and code quality.

Runs a multi-perspective review of a pull request, including code quality, tests, and potential silent failures, then reports findings ranked by severity.

Enforces a principal-engineer self-review checklist on every code block before output, covering correctness, performance, security, naming, and testability.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, producing a prioritized report with severity ratings and concrete fixes.

Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.

Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.

Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.

Analyze existing code files to generate a project-specific coding standards document, with options for templates, README insertion, and inconsistency detection.

Generate and edit high-quality images using OpenRouter's AI models including FLUX.2 Pro and Gemini 3.1 Flash Image Preview.

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

Automates end-to-end QA: starts the app, exercises screens and API endpoints, verifies functionality and design quality, runs domain analysis, and fixes issues found.

Reviews staged and unstaged code changes for security vulnerabilities, code quality issues, and adherence to project conventions, reporting findings by severity.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identific...

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Prevents AI agents from calling methods, imports, or variables that do not provably exist in the user's installed version, reducing hallucinated API usage.

Writes production-quality Pine Script v6 code following TradingView guidelines and best practices. Use when implementing indicators, strategies, or any Pine Script code. Triggers on requests to create, write, implement, or code Pine Script functionality.

Evaluate whether a product is production-ready, publish-ready, or sellable-ready. Triggers: 'publish ready', 'ready check', 'readiness review', 'quality check', 'production ready', 'sellable ready', 'can I publish', 'release check', 'final review'.

Use when you need to remove adapter sequences from high-throughput sequencing reads, trim low-quality bases, or filter reads by length. Supports single-end and paired-end FASTQ/FASTA input with error-tolerant adapter matching.

Completely delete and rewrite a file or module from scratch when structural rot makes patching impossible, with enforced preservation of interfaces and blast radius verification.

Audits test code in any language using the academic testsmells.org 19-smell catalog, producing a severity-ranked report with specific locations and actionable fixes.

Detects and fixes common MSBuild anti-patterns in .csproj, .vbproj, .fsproj, .props, .targets, and .proj files, covering Exec misuse, unquoted conditions, hardcoded paths, and more.

Enforces bulk-safety rules, sharing model requirements, CRUD/FLS security, SOQL injection prevention, PNB test coverage, and modern Apex idioms for Salesforce development.

Explains foundational concepts of context engineering: what context is, attention mechanics, the U-shaped attention curve, and why context quality matters more than quantity.

Scans a codebase for Martin Fowler's catalog of code smells, reporting each with location, severity, and refactoring recommendations, and ranks files to build a prioritized refactoring queue.

Guides the creation of high-quality MCP servers that let LLMs interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.

Refactors production code with test coverage using a TDD workflow that applies approved refactorings one at a time, gates each on passing tests, and commits or reverts accordingly.

Scans Python and JavaScript codebases for bugs, security vulnerabilities, code smells, and anti-patterns, producing a prioritized fix list with line numbers, severity ratings, and suggested corrections.

Review technical and strategy documents for codebase drift, strategic alignment, cross-document conflicts, simplification opportunities, engineering quality, and document organization. Use when auditing whether docs should be kept, updated, merged, split, moved, archived, or deleted.