Total 51,081 skills, AI & Machine Learning has 8556 skills
Showing 12 of 8556 skills
TopAI.tools platform help — curated AI tools directory (2,700+ tools, 120+ categories, ~1-1.9M monthly visits, daily updates). Covers free submission (48-hour review), Fast Track ($39, 24-48 hours, no queue), Boosted listing ($229, featured site-wide 7 days, top category spots), listing optimization for search visibility, and SEO backlink value. Use when submitting an AI tool to TopAI.tools, wondering if the $39 Fast Track is worth it, want a Boosted featured listing on TopAI.tools, comparing TopAI.tools with TAAFT or Futurepedia, or trying to optimize your TopAI.tools listing for clicks. Do NOT use for multi-directory launch coordination (use /sales-launch-directory). Do NOT use for other AI directories like TAAFT (use /sales-theresanaiforthat) or Futurepedia (use /sales-futurepedia).
Use when designing and building knowledge graphs from unstructured data. Invoke when user mentions entity extraction, schema design, LPG vs RDF, graph data model, ontology alignment, knowledge graph construction, or building a KG for RAG. Provides extraction pipelines, schema patterns, and data model selection guidance.
Extract and document someone's authentic writing voice from samples. Use when someone needs a "voice guide," wants to capture their writing DNA, or needs to train AI to write in their style. Also useful for ghostwriting, brand voice documentation, or onboarding writers.
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Three-way conversation between Hayek, Mises, and Claude. Multi-role discussion from the Austrian School of Economics perspective. Triggers: /dbs-chatroom-austrian, /chatroom-austrian, /austrian-school, "Austrian Chatroom" Austrian economics chatroom: Hayek × Mises × Claude debate. Triggers: /dbs-chatroom-austrian, /chatroom-austrian, /奥派, "Austrian chat"
MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".
Preserve critical session state when compacting context. Use when context window is filling up and you need to summarize/reduce while keeping essential debugging information.
Generate and edit images using TensorsLab's AI models. Supports text-to-image, image-to-image generation, plus advanced editing: avatar generation, watermark removal, object erasure, face replacement, and general image editing. Features automatic prompt enhancement, progress tracking, and local file saving. Requires browser-based authorization before first use.
dontbesilent Interactive Learning. Break down a topic into a sequential series of learning articles, adjusting the depth, perspective, and pace of the next article based on the user's feedback from the previous one. Triggers: /dbs-learning, /dbs-learn, /interactive-learning, "teach me a topic", "continue the next lesson", "generate the next lesson based on my feedback" Interactive learning workflow. Builds an adaptive sequence of learning articles based on user feedback. Trigger: /dbs-learning, /dbs-learn, "teach me a topic", "continue the next lesson"
Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until convergence.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.
Google Model Armor: Create a new Model Armor template.