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All Skills

Total 52,201 skills, Code Quality has 2356 skills

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Showing 12 of 2356 skills

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Code Qualityqodo-ai/qodo-skills

qodo-pr-resolver

Review and resolve PR issues with Qodo - get AI-powered code review issues and fix them interactively (GitHub, GitLab, Bitbucket, Azure DevOps)

🇺🇸|EnglishTranslated
105
Code Qualitycexll/myclaude

codex

Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.

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105
Code Qualitygjalla/engineering

gjalla-spec-review

Full review of a plan or spec to be sure there are no surprises, gaps, or mistakes. Use to harden a spec before implementation.

🇺🇸|EnglishTranslated
104
Code Qualitywshobson/agents

python-design-patterns

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use when making architecture decisions, refactoring code structure, or evaluating when abstractions are appropriate.

🇺🇸|EnglishTranslated
102
Code Qualitylanggenius/dify

frontend-code-review

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

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99
Code Qualitytrkbt10/indexion-skills

indexion-refactor

After writing code, detect and clean up duplication at three levels — copy-paste blocks, cross-package shared code, unnecessary wrappers, and concept-level SoT violations. Detect with indexion, fix, and verify.

🇺🇸|EnglishTranslated
97
Code Qualitybrianlovin/claude-config

simplify

Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.

🇺🇸|EnglishTranslated
94
Code Qualitywshobson/agents

error-handling-patterns

Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.

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93
Code Qualityapollographql/skills

rust-best-practices

Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with Result types, (5) optimizing Rust code for performance, (6) writing tests or documentation for Rust projects.

🇺🇸|EnglishTranslated
93
Code Qualityar9av/obsidian-wiki

impl-validator

Validate whether an implementation matches its stated goal. Use this skill when a skill or agent wants a second opinion on its own output, when the user says "check this implementation", "validate what you did", "is this correct?", "review the output", or "did you do this right?". Also spawned automatically as a subagent by other skills (memory-bridge, daily-update) to self-check their outputs before presenting to the user. Returns a structured pass/warn/fail verdict with specific actionable issues.

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92
Code Qualitysynapsync/synapse_registr...

code-analyzer

Analyzes code modules and generates structured technical reports with architecture diagrams. Trigger: When the user asks to analyze, explain, or document a module, file, or codebase section.

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92
Code Qualityequinor/fusion-skills

fusion-code-conventions

Applies and explains code conventions across TypeScript, React, C#, and Markdown. Enforces naming rules, file naming patterns, TSDoc and XML doc standards, inline comment intent (the *why*, not the *what*), code structure, error handling, async patterns, and dead code policy. Also enforces ADR and contributor doc decisions, and flags decisions that appear stale or misaligned with current tooling. USE FOR: convention questions, code review against project standards, applying naming rules, auditing intent comments, checking TSDoc completeness, enforcing recorded ADR decisions, and flagging stale architectural decisions. DO NOT USE FOR: security vulnerability scanning, performance profiling, runtime debugging, or generating net-new code without a review target.

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92
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