Results for “facebook-ad-library”

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

Build Meta/Instagram ad campaigns with audience targeting, ad copy, and creative specs

Publishing to LinkedIn, Facebook, Instagram, Twitter/X via Zernio for any active brand

Build LinkedIn Ads campaigns with ABM targeting, professional ad copy, and format recommendations

通用多轮迭代改进：对任意研究制品反复调用 /review → 解析反馈 → 修复 → 更新 wiki，直到达标

Monitor competitor ads across Meta, Google, and LinkedIn with strategic analysis

Generate structured creative briefs for ad designers with brand-consistent direction

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' '...

Generates a Twitter share card with a hero quote, author attribution, category tag, and subtle texture, ready for screenshot and posting.

Search Fab's public free catalog (including Quixel Megascans) and directly import eligible assets without adding them to the account library, or discover/import the signed-in Epic account's owned Fab library. Use for free Fab/Quixel searches, owned-library questions, compatibility checks, and Fab imports. No purchasing or entitlement claiming.

Provides knowledge of Ant Design components for building React UIs, including props, usage, and best practices.

Use to build and maintain a reusable bank of QA criteria as observable decision rules shared across scorecards. Trigger for "criterion library", "standardise our QA criteria", "write better rubric items", "was professional is too vague", versioning criteria across teams, or turning adjectives into pass/fail decision rules with examples.