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Validates code dependencies: checks imports, standard libraries, third-party libraries, and circular dependencies.

Validates Python code quality across syntax, structure, security, performance, and dependencies with 17-layer analysis.

Validates type consistency, logical integrity, security, and performance for code quality assurance.

Automates Xiaohongshu post creation via AutoGLM, supporting standard notes and long-form content with UI-guided navigation.

Provides a Socratic thinking partner to clarify decisions, surface assumptions, and resolve uncertainty using dialectical reasoning techniques.

Automates audit and improvement of CLAUDE.md files in repositories, ensuring optimal project memory management through quality evaluation and targeted updates.

Automates publishing Ruby gems to Homebrew (GitHub Tap) and RubyGems.org repositories.

Assists in performing pre-release checks including code quality analysis and functional testing to ensure a stable release.

Provides standardized criteria and templates for creating and reviewing key technical documents including PRDs, ADRs, Design Docs, and Work Plans.

Provides frontend testing guidelines using Vitest, React Testing Library, and MSW, including coverage requirements and test design principles.

Guides implementation of language-agnostic testing principles including TDD, test design patterns, and coverage standards for robust test development.

Guides technical decision-making, anti-pattern detection, debugging, and quality assurance workflows for software development.

Analyzes task complexity to select optimal skills and estimate work scale, providing confidence scores and metadata for project planning.

Provides principles for designing integration and E2E tests, including ROI calculation and review criteria to ensure test quality.

Guides implementation of subagent coordination workflows, defining scale, document requirements, and autonomous execution phases.

Guides frontend technical decisions with anti-pattern avoidance, debugging techniques, and quality assurance workflows for development teams.

Enforces React and TypeScript frontend development rules for type safety, component design, and state management.

Provides language-agnostic coding principles to enhance code maintainability, readability, and quality during feature implementation and code reviews.

Framework for selecting implementation strategies with meta-cognitive approach, verification levels, and integration points to guide development planning and decision-making.

Generates Xiaohongshu note content including title, body text, and image cards for publishing.

Adapts technical content to resonate with community culture on platforms like Reddit, Twitter, and LinkedIn, ensuring native-feeling, community-written content.

Evaluates Agent Skill design quality against official specifications, providing multi-dimensional scoring and actionable improvement suggestions for SKILL.md files.

Transforms an AI agent into a disciplined development partner that executes code with professional standards, transparency, and craftsmanship for any software task.

Automates comprehensive pull request analysis with security checks, code quality assessment, and safe automatic improvements for better codebase health.