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codatta AI Skills

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Browse published AI skills maintained by codatta. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

data-training-manager

codatta

Manage AI training data, monitor content freshness, detect repetition, and update training samples for continuous learning. Use when managing training data, checking content quality, updating AI models, or prev...

GitHub

milady-meme-generator

codatta

Generate Milady NFT memes with layered composition, text overlays, and 324+ accessories. Use when creating Milady memes, adding layers like hats/glasses/earrings, working with NFT artwork, or generating custom...

GitHub

memegen-templates

codatta

Generate classic meme images using 207+ templates from memegen.link. Use when creating memes with popular formats like Drake, Distracted Boyfriend, This is Fine, or any classic internet meme template.

GitHub

ai-image-effects

codatta

Apply AI visual effects including Illusion Diffusion ($0.006), FLUX Fill Pro accessory replacement ($0.05), and SAM object detection (

GitHub

twitter-content-ai

codatta

Generate Twitter content with Jessie persona - Codatta data cleaner intern. Creates GM posts, industry insights, casual content, and interactions with Milady culture style. Use when creating tweets, replies, ma...

GitHub

lark-bot-integration

codatta

Deploy and manage Lark (Feishu) bot for Milady meme generation, command handling, and team collaboration. Use when setting up Lark webhooks, handling bot commands, deploying to production, or integrating with L...

GitHub

social-monitoring

codatta

Monitor Twitter accounts (151 tracked), detect mentions, analyze engagement, and identify interaction opportunities. Use when tracking Twitter activity, monitoring mentions, analyzing social metrics, or managin...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.