productivity▌

Optimize LinkedIn profiles for recruiter visibility, searchability, and job opportunity attraction. \n \n Provides section-by-section optimization guidance covering headline, About section, Experience, Skills, and Featured content with specific formulas and examples \n Includes keyword strategy for recruiter searches, profile completeness checklist, and recruiter visibility settings configuration \n Explains key differences between LinkedIn and resume formats, with structured approach to syncing

High-performance game development with Unity's data-oriented Entity Component System, Jobs, and Burst Compiler. \n \n Covers core ECS patterns including components, systems, entities, and archetypes, with practical examples for movement, spawning, damage, and inventory management \n Demonstrates both simple foreach queries and explicit job scheduling with IJobEntity and IJobChunk for fine-grained parallelization control \n Includes baking workflows to convert GameObjects to entities, singleton m

Text-to-image generation and image-to-image editing via Google's Gemini 3 Pro Image API. \n \n Supports both new image generation from text prompts and editing of existing images with instruction-based modifications \n Configurable output resolution: 1K (default), 2K, or 4K for high-resolution results \n Automatically detects API key from --api-key argument or GEMINI_API_KEY environment variable \n Saves PNG output to the user's current working directory with timestamped filenames \n

Skill by ara.so — Daily 2026 Skills collection

Professional product images with studio lighting, angles, and e-commerce conventions. \n \n Covers six shot types: hero shots, packshots (white background), lifestyle, scale reference, close-ups, and group compositions \n Includes camera angles (eye level, 3/4 view, overhead, low angle) and lighting setups (soft box, rim lighting, natural window, flat/even) \n Provides shadow and background guidance, composition rules (rule of thirds, negative space, triangle layouts), and category-specific conv

获取、解析并保存微信公众号文章，支持单篇和批量下载、元数据提取、图片下载和 Markdown 转换。

$22

Estimate software development tasks using story points, planning poker, and t-shirt sizing. \n \n Provides Fibonacci-based story point scales (1–21+) with time and complexity guidelines for each level \n Includes planning poker process for team consensus estimation with discussion and re-voting workflows \n Offers t-shirt sizing (XS–XL) for quick backlog grooming and rough roadmap planning \n Adjusts estimates for risk and uncertainty using configurable buffers, with examples for medium and high

$21

Security-first vetting protocol for AI agent skills. Never install a skill without vetting it first.