game-video-ad-pipeline
FFmpeg based $0 game ad video auto generation skill. Game ID(steam app id) for automatic screenshot collection → apply template style(action/puzzle/kids) → 15~30 sec MP4 output with text overlay.
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FFmpeg based $0 game ad video auto generation skill. Game ID(steam app id) for automatic screenshot collection → apply template style(action/puzzle/kids) → 15~30 sec MP4 output with text overlay.
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progr…
Build AI that answers questions about your database. Use when you need text-to-SQL, natural language database queries, a data assistant for non-technical users, AI-powered analytics, plain English dat…
See exactly what your AI did on a specific request. Use when you need to debug a wrong answer, trace a specific AI request, profile slow AI pipelines, find which step failed, inspect LM calls, view to…
Routes ML/DL questions to specialized skills. Use FIRST when unsure which skill applies, when user asks broad ML questions, or when multiple topics might be relevant. Maps: regression/classification →…
Generate professional slide deck images from academic papers and content. Creates comprehensive outlines with style instructions, auto-detects figures from PDFs, then generates individual slide images…
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-d…
Semantic and multi-modal search across documents using LanceDB vector embeddings. Use when searching knowledge bases, finding information semantically, ingesting documents for RAG, or performing vecto…
Chain multiple AI steps into one reliable pipeline. Use when your AI task is too complex for one prompt, you need to break AI logic into stages, combine classification then generation, do multi-step r…
Auto-sort, categorize, or label content using AI. Use when sorting tickets into categories, auto-tagging content, labeling emails, detecting sentiment, routing messages to the right team, triaging sup…
Speak text aloud using high-quality AI voice synthesis (Kokoro TTS on Apple Silicon). Use when user asks to vocalize, narrate, or speak text out loud. Supports concurrent audio generation for multiple…
Use AgentGo for local RAG (Retrieval Augmented Generation) operations including document ingestion, semantic search, and Q&A. Supports multi-provider LLM, MCP tools, Skills, and cognitive memory (Hind…
Download videos and extract audio from various platforms using yt-dlp. Use when user provides a video URL, asks to download a video, or when conversation contains video links from YouTube, Twitter/X, …
Focused on LLM application development, covering RAG and LangChain architectures.
FFmpeg audio processing, batch editing, normalization, mixing, and automated audio production workflows. Use when processing audio at scale, automating editing tasks, or building audio pipelines.
Use when user needs accurate/precise caption timing, or aligning captions with audio/video using forced alignment. Corrects caption timing to match actual speech. Uses LattifAI Lattice-1 model.
Scaffold a new AI feature powered by DSPy. Use when adding AI to your app, starting a new AI project, building an AI-powered feature, setting up a DSPy program from scratch, or bootstrapping an LLM-po…
Switch AI providers or models without breaking things. Use when you want to switch from OpenAI to Anthropic, try a cheaper model, stop depending on one vendor, compare models side-by-side, a model upd…
[WHAT] Character design and illustration assistant for AI product mascots, orb avatars, and animated companions. [HOW] Generates text-to-image prompts, character reference sheets, animation state matr…
Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks…
Use when you have validated symmetry groups and need to design neural network architecture that respects those symmetries. Invoke when user mentions equivariant layers, G-CNN, e3nn, steerable networks…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working…
Execute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → s…