Total 50,653 skills, AI & Machine Learning has 8491 skills
Showing 12 of 8491 skills
Help users add knowledge base documents to Runway Characters for domain-specific conversations
Make and receive private payments on Solana via VeilPay. Use when an agent needs to send funds without an on-chain link between sender and recipient, generate shareable payment links, claim incoming payments, perform confidential transfers, or query encrypted balances. Powered by the Umbra ZK shielded pool on Solana mainnet.
Set up a recurring research watch on a topic, company, paper area, or product surface. Use when the user asks to monitor a field, track new papers, watch for updates, or set up alerts on a research area.
Plan or execute a replication of a paper, claim, or benchmark. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.
Compare a paper's claims against its public codebase. Use when the user asks to audit a paper, check code-claim consistency, verify reproducibility of a specific paper, or find mismatches between a paper and its implementation.
Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
Use this skill whenever a user asks to generate, create, draw, render, or edit images with GPT Image 2 / gpt-image-2, text-to-image, reference-image editing, inpainting, posters, typography, Chinese text, UI mockups, diagrams, or gallery prompts. Analyze the user's prompt, search the bundled Reference Gallery/craft files for matching design patterns, confer on direction when useful, then call the packaged `gpt-image` CLI or bundled `scripts/generate.py`. Do not write new image-generation code unless explicitly asked to modify this repo.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Generate voice messages using local Qwen3-TTS (offline, Apple Silicon). Convert text to speech with customizable voices, emotions, and speed. Use when user asks for voice reply, audio, or TTS.
AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using Gemini (default) or a configured provider. Requires GOOGLE_API_KEY or ADS_IMAGE_PROVIDER + matching key. Triggers on: "generate ads", "create images", "make ad creatives", "generate visuals", "create ad images", "generate campaign images", "make the images", "generate from brief".
Use this skill when you are not sure about a fact, have outdated knowledge, or the question is contested. Explicitly communicate the level of confidence instead of asserting uncertain things as fact.
Research latest ComfyUI models, techniques, and community discoveries. Monitors YouTube channels, GitHub repos, and HuggingFace. Updates reference files with timestamped findings and flags stale information. Invoke with /research comfyui or automatically at session start for staleness checks.