Skill UI

This utility analyzes code changes within a branch compared to the base branch. It calculates a complexity score, detects scope coherence issues (warning if changes are too large or unrelated), and generates a fully structured Pull Request (PR) draft. It automates the creation of titles, comprehensive descriptions (including checklists and technical details), and even suggests splitting the PR into smaller, manageable units, significantly improving code review quality and efficiency.

This skill systematically audits Playwright End-to-End (E2E) test files. It checks for common anti-patterns, adherence to best practices, and identifies coverage gaps across the entire test suite. It provides a detailed score (1-10) and generates actionable reports, including suggested code fixes, significantly improving test reliability and maintainability.

skill-doctor grades the performance and quality of an AI agent setup using real, local conversation history (e.g., Claude Code/Codex sessions). It scores skills against defined rubrics for efficiency and code quality, drafts evidence-backed suggestions for improvement, and generates a comprehensive, shareable local report. All processing is strictly local and private.

This skill evaluates content for AI citability based on research from Princeton and Georgia Tech. It scores content on answer block quality, self-containment, and structural readability to optimize visibility in AI-generated responses. Ideal for SEO and GEO strategies to ensure AI models extract and cite your content effectively.

Use Mailtrap Email Sandbox to capture and inspect outbound emails without sending them to real recipients. This is crucial for development, staging, and CI/CD environments. It allows developers to test email content, headers, attachments, and spam scores using dedicated APIs, SMTP settings, or SDKs, ensuring mail integrity before deployment. Ideal for automation and rigorous quality checks.

Screen and rank Meteora DLMM pools for LP quality using public APIs. Hard-filter by preset (volatile, stable, bluechip) and score by fee/TVL, organic score, volume, and holders. Read-only, no transactions. Outputs ranked tables with verdicts.

This skill analyzes content for SEO best practices, E-E-A-T signals, and quality standards. It evaluates depth, readability, keyword usage, and structure to provide actionable improvement recommendations. It scores content based on editorial rubrics but does not check actual search rankings or technical metrics.

SkillCheck validates SKILL.md files against the agentskills specification and Anthropic best practices. It performs read-only checks on structure, semantics, naming, and quality to catch errors before publishing. The tool provides a score, grade, and detailed report with fix suggestions for critical issues to ensure high-quality skill authoring.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

Score a UI file's design quality 0-100 against StyleSeed's design language, with per-category breakdown, worst offenders, and prioritized fix list. A quantified version of /ss-review for tracking UI quality.

A skill for setting up project-based performance reviews, including role, project manager, delivery, quality, collaboration scores, overall score, and feedback. It recommends the smallest useful workflow and generates artifacts like CSV, SQL DDL, JSON Schema, and Notion mappings on request.

Scores a project across four quality dimensions — PR quality, architecture, tech debt, and test quality — in one pass, producing a composite health score and dashboard report before releases or team onboarding.