Top 10 AI skills for Code

### Caveman Code Review - Delivers ultra-compressed, actionable PR feedback using a strict L<line>: <problem>. <fix>. format to eliminate noise. - Uses severity prefixes like 🔴 bug, 🟡 risk, 🔵 nit, and ❓ q to categorize findings without unnecessary conversational filler. - Switches to verbose explanations only for critical security issues, architectural debates, or onboarding contexts.

23 installs · 23 weekly · 7,882 GitHub stars

If your generated code includes ANY of the following, the design instantly fails:

11 installs · 11 weekly · 7,200 GitHub stars

Create and scaffold Jupyter notebooks for experiments and tutorials with bundled templates. \n \n Two notebook kinds: experiment for exploratory analysis and hypothesis-driven work, tutorial for instructional step-by-step content \n Helper script new_notebook.py generates clean notebooks from templates, avoiding manual JSON authoring \n Workflow emphasizes small, focused code cells paired with markdown explanations, with reference guides for experiment patterns, tutorial structure, and safe edit

10 installs · 10 weekly · 16,300 GitHub stars

Reverse-engineer undocumented codebases to extract specifications, architecture, and observable behavior patterns. \n \n Uses two analytical perspectives: Arch Hat for system architecture and data flows, QA Hat for observable behaviors and edge cases \n Employs systematic exploration with Glob, Grep, and Read tools to map code structure, entry points, configuration, and API routes before documentation \n Documents extracted requirements in EARS format (Ubiquitous, Event-driven, State-driven, Opt

9 installs · 9 weekly · 7,900 GitHub stars

40 NestJS best practices organized by priority across architecture, dependency injection, security, and performance. \n \n Covers 10 rule categories from critical (architecture, DI) to low-medium (DevOps), each with specific, actionable patterns and anti-patterns \n Includes rules for modules, controllers, services, error handling, authentication, database optimization, testing, and microservices \n Each rule provides explanation, incorrect vs. correct code examples, and context for when to appl

9 installs · 9 weekly · 111 GitHub stars

Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

8 installs · 8 weekly · 24,200 GitHub stars

Generate Excalidraw diagrams from natural language descriptions in multiple formats. \n \n Supports nine diagram types: flowcharts, relationship diagrams, mind maps, architecture diagrams, data flow diagrams, swimlane business flows, class diagrams, sequence diagrams, and ER diagrams \n Outputs valid .excalidraw JSON files that open directly in Excalidraw or the VS Code extension \n Includes layout guidelines, element count recommendations, and color schemes for consistent visual design \n Optio

7 installs · 7 weekly · 28,700 GitHub stars

Relentless interviewing skill that stress-tests plans and designs through systematic questioning. \n \n Conducts deep-dive questioning across all aspects of a plan, walking through decision trees branch-by-branch until shared understanding is reached \n Automatically explores the codebase to answer questions where code context is available, reducing redundant back-and-forth \n Designed for design reviews, architecture validation, and pre-implementation planning where thorough vetting prevents do

7 installs · 7 weekly · 12,700 GitHub stars

Collaborative PRD creation through structured interviews, codebase analysis, and modular design planning. \n \n Guides users through problem definition, solution ideation, and iterative design interviews to reach shared understanding \n Explores the codebase to validate assumptions and understand current architecture before planning changes \n Designs modular solutions by identifying deep modules with simple, testable interfaces that encapsulate significant functionality \n Generates comprehensi

5 installs · 5 weekly · 12,700 GitHub stars

Modern PHP development with strict typing, enterprise patterns, and framework expertise across Laravel and Symfony. \n \n Enforces PHP 8.3+ strict types, PSR-12 standards, and PHPStan level 9 static analysis on all code before delivery \n Scaffolds typed domain models, DTOs, value objects, services, repositories, and controllers with full dependency injection \n Generates PHPUnit and Pest tests with 80%+ coverage requirements; runs both test suites and static analysis as mandatory verification g

5 installs · 5 weekly · 7,900 GitHub stars

Start with the workflow, not the name

If you are buying or installing for Code, define the exact repeatable task first. “Marketing” is too broad. “Weekly SEO brief generation” or “campaign teardown workflow” is concrete enough to evaluate skill fit.

Prefer composable specialists

A narrow skill with a clean install path and strong operating assumptions is often better than a mega-skill that claims to do strategy, execution, QA, and reporting in one package.

Validate the operating surface

Read the summary and the source repo details. The winning skill is the one your team will actually invoke repeatedly, not the one that looks the most ambitious on paper.