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kjgarza AI Skills

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Explorez les skills IA publiés de kjgarza et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

16

Étoiles des dépôts des skills indexés

30

Forks du dépôt

0

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

16 skills

Explorer

GitHub

project-bootstrapping

kjgarza

Sets up new projects or improves existing projects with development best practices, tooling, documentation, and workflow automation. Use when user wants to start a new project, improve project structure, add de...

GitHub

media-processing

kjgarza

Process multimedia files with ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding images

GitHub

project-scaffold

kjgarza

Scaffold new software projects with best practices. Use this skill when users want to create a new project, initialize a codebase, scaffold an application, start a new repo, or set up a project from scratch. Su...

GitHub

chrome-extension-builder

kjgarza

Scaffold and setup Chrome MV3 extensions using WXT framework with React, TypeScript, and shadcn-UI. Use when creating new browser extensions, setting up content scripts, background service workers, side panels,...

GitHub

security-pattern-check

kjgarza

Identify security vulnerabilities and anti-patterns providing feedback on security issues a senior developer would catch. Use when user mentions security/vulnerability/safety concerns, code involves user input/...

GitHub

suggest-performance-fix

kjgarza

Identify performance issues and bottlenecks suggesting optimizations a senior developer would recommend. Use when user mentions performance/optimization/speed issues, asks "why is this slow?" or similar questio...

GitHub

monorepo-generator

kjgarza

Generate production-ready monorepo structures for full-stack applications including frontends (Next.js, React), APIs (Hono, Express), and data pipelines. Use when creating new monorepo projects, scaffolding mul...

GitHub

searching-academic-outputs-with-dimensions

kjgarza

Search for academic literature, empirical evidence, and scholarly research using the Dimensions database. Use when seeking research papers to support product decisions, find empirical studies, conduct literatur...

GitHub

searching-documents-with-coda

kjgarza

Search and extract content from Coda documents including PRDs, roadmaps, competitive analyses, and research docs. Use when user wants to find documents in Coda, list pages and tables, export content as Markdown...

GitHub

detect-code-smells

kjgarza

Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, m...

GitHub

searching-documents-with-google-drive

kjgarza

Search and download documents from Google Drive using rclone. Exports Google Docs as Markdown by default. Use when users ask to find files in Google Drive, download documents from Drive, export Google Docs, or...

GitHub

vscode-extension-builder

kjgarza

Comprehensive guide for creating VS Code extensions from scratch, including project scaffolding, API usage, activation events, and packaging. Use when user wants to create/build/generate/develop a VS Code exten...

GitHub

cli-generator

kjgarza

Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.

GitHub

new-yorker-style

kjgarza

Write prose in The New Yorker's distinctive literary style. Applies the magazine's house conventions (diaeresis, British spellings, serial comma), elegant sentence construction, and commitment to clarity. Use w...

GitHub

recipe-image-processor

kjgarza

Process recipe photos into structured recipe data using GPT-4 vision. Use when asked to extract recipes from images, convert recipe photos to JSON, process HelloFresh/meal-kit recipe cards, or batch process mul...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.