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Found 46 Skills
External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron policy setup, HF import/export, checkpoint/resume, non-colocated vLLM refit, delta weight transfer, optional LoRA/generation variants, and questions such as "does this model work in NeMo-RL", "run NeMo-RL e2e", or "external RL loop validation". Covers running NeMo-RL Megatron policy jobs from a Bridge checkout, choosing GRPO/SFT/checkpoint/non-colocated refit variants, setting PYTHONPATH so NeMo-RL imports the local Bridge tree, and reporting pass/fail evidence.
IoT protocols: Zigbee (mesh), Z-Wave (home), LoRaWAN (long-range), CoAP (lightweight), Matter (interoperable), Thread (I
Craft high-quality natural-language image prompts for any modern text-to-image or image-edit model that accepts flowing English. Trigger when the user wants help writing, rewriting, improving, or translating an English natural-language image prompt — including "write me an image prompt", "improve this image prompt", "describe this scene for an image model", or "convert these tags into a natural language prompt". Do NOT trigger for requests that are purely about dispatching to an image API, choosing samplers/schedulers, picking LoRAs, or setting up ControlNet — those belong to a runtime skill.
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Conducts a guided conversational interview with the user about the image or scene they want to create, asking pertinent questions to fully understand their vision, then synthesizes a perfect model-appropriate prompt with recommended settings. Use when the user says "I want to create...", "help me make an image of...", "I have an idea for...", or asks for help crafting a prompt.
Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance.
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
Train personalized AI agents with reinforcement learning from conversational feedback using OpenClaw-RL's async framework
Use when editing ComfyUI workflow JSON, adding nodes, wiring connections, modifying workflows, adding ControlNet/LoRA/upscaling to a workflow, or submitting workflows to ComfyUI.
Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.