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Tech Debt Assessment and Refactoring Roadmap

sickn33/antigravity-awesome-skills

This skill provides a comprehensive tech debt assessment, identifying, classifying, and prioritizing core maintainability issues. By drawing on classic engineering principles, it helps teams build a structured refactoring roadmap, optimizing code health and development velocity.

Unified Code Quality Sweep and Fixer

sickn33/antigravity-awesome-skills

This advanced skill performs a full-sweep analysis, providing a unified assessment of code quality across multiple dimensions: code decay, architecture integrity, technical debt, and test coverage. It automatically applies safe fixes directly to the codebase, while requiring confirmation for risky changes. It is ideal for comprehensive pre-release code health audits and automated refactoring.

Advanced Testing Patterns and Utilities

code-showcase-testing-patterns

sickn33/antigravity-awesome-skills

Provides comprehensive guidelines and utilities for modern unit testing using Jest and React Native. Covers Test-Driven Development (TDD) workflows, Behavior-Driven Development (BDD) principles, advanced mocking strategies for modules and GraphQL hooks, and implementing reusable factory functions for props and data. Use this skill to write robust, maintainable, and highly structured unit tests.

Semantic Code Equivalence Comparison

sickn33/antigravity-awesome-skills

This skill performs a deep comparison of two code versions to verify semantic equivalence, going beyond simple syntax diffing. It uses semi-formal tracing techniques to trace both versions against shared specifications and boundary conditions (e.g., null, zero, max/min). Ideal for confirming if a refactor, rewrite, or migration has unintentionally altered the code's behavior, answering the question: "Did I break anything?"

Longbridge Stock Content and Filings

longbridge-content

sickn33/antigravity-awesome-skills

This skill provides comprehensive access to structured corporate content for listed stocks via Longbridge. Users can retrieve the latest news articles, analyze regulatory filings (such as 10-K, 10-Q, 8-K), check community discussions, and perform detailed SEC EDGAR document analysis. It supports querying risk factors, management discussions (MD&A), and regulatory rules.

Flutter Best Practices

flutter-best-practices

evanca/flutter-ai-rules

Standards for maintainable Flutter/Dart apps: layer separation, feature-based structure, immutable state, modern Dart, widget choices, testing, review checklists, monorepo and localization. Use when planning, writing, reviewing, or refactoring Flutter code.

Run Bounded Coding Tasks with Codex

sickn33/antigravity-awesome-skills

Execute discrete, bounded coding, review, or verification tasks using the Codex CLI as an isolated subagent. This tool is ideal for tasks requiring explicit file ownership, such as isolated refactoring, feature implementation, or independent code verification, without relying on continuous conversational context. It runs in a safe sandbox environment.

Persistent Agent Goal Loop Orchestration

sickn33/antigravity-awesome-skills

The /goal command converts standard agent prompts into persistent, self-correcting loops (plan → act → test → review → iterate). It is designed for long-running, complex engineering tasks like migrations, coverage lifts, or refactoring, ensuring progress is tracked against a verifiable stop condition and mandated documentation.

Go Language Semantic Code Intelligence

samber/cc-skills-golang

Provides deep semantic code intelligence for Go projects using the official `gopls` language server. Key capabilities include jumping to definitions, finding references, visualizing call graphs, and performing sophisticated refactoring (extract, inline, rename). It is essential for navigating large Go codebases, understanding package dependencies, running diagnostics, and ensuring safe code modifications.

Safe Go Code Refactoring at Scale

golang-refactoring

samber/cc-skills-golang

A comprehensive skill for safely restructuring existing Go codebases. It provides behavior-preserving transforms, such as renaming, extracting functions, moving packages, and applying design patterns, while maintaining a safety net via robust testing and structured, atomic commits. Ideal for large-scale maintenance and improving code structure.

Code Health and Maintainability Gate

Code Health MCP provides structural maintainability feedback and design-level health scores, going beyond standard linting. It is crucial for AI-assisted coding workflows, allowing users to review code quality, verify score deltas after changes, and gate commits or pull requests to prevent codebase regression. Use it when refactoring, updating legacy modules, or ensuring the integrity of large diffs.

Continuous Learning Behavioral Pattern Extractor

continuous-learning-v2

An advanced system that analyzes coding sessions via hooks to extract atomic, confidence-scored behaviors called "instincts." It tracks patterns, allowing users to evolve these instincts into comprehensive skills, commands, or agents. V2.1 introduces project-scoped learning, preventing knowledge contamination between different codebases and improving development workflow efficiency.

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