sdg-hub
01Red-Hat-AI-Innovation-Team/sdg_hub
Plugin Claude Code
Plugin marketplace listing 1 plugin: sdg-hub.
Red-Hat-AI-Innovation-Team/sdg_hub
Plugin Claude Code
Plugin marketplace listing 1 plugin: sdg-hub.
Red-Hat-AI-Innovation-Team/sdg_hub
Plugin Claude Code
Synthetic data generation — composable blocks and YAML-defined flows for building LLM training datasets.
Red-Hat-AI-Innovation-Team/sdg_hub
Hook Claude Code
Runs before the agent uses a tool for Read, Write and Edit tool calls, executing track-read.sh and verify-gate.sh (2 commands). From Red-Hat-AI-Innovation-Team/sdg_hub.
Red-Hat-AI-Innovation-Team/sdg_hub
Hook Claude Code
Runs when the agent finishes a response, executing commit-on-stop.sh. From Red-Hat-AI-Innovation-Team/sdg_hub.
Red-Hat-AI-Innovation-Team/sdg_hub
Settings file Claude Code
Agent settings declaring 2 hook events (PreToolUse, Stop).
Red-Hat-AI-Innovation-Team/sdg_hub
Skill Claude CodeCodex
Use when the user wants to run synthetic data generation via scripts — detect environment, execute a flow, and present results. For detailed guidance on approaches, blocks, flow authoring, and troubleshooting, consult the synthetic-data-generation skill.
Red-Hat-AI-Innovation-Team/sdg_hub
Skill Claude CodeCodex
Use when the user wants to list, search, or inspect available SDG flows and data generation pipelines. Applies to browsing flow catalogs, finding flows by use case, or understanding what a specific flow does.
Red-Hat-AI-Innovation-Team/sdg_hub
Skill Claude CodeCodex
Use when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment.
Red-Hat-AI-Innovation-Team/sdg_hub
Skill Claude CodeCodex
Generate synthetic data using sdghub with composable blocks and YAML flows. Use when the user wants to create training datasets, generate QA pairs, run data generation pipelines, build custom flows, produce synthetic data from documents, use agent frameworks for data generation, or distill MCP tool-use traces.…
Red-Hat-AI-Innovation-Team/sdg_hub
Instructions file
Instructions for Red-Hat-AI-Innovation-Team/sdg_hub, covering claude.md, project overview, agent knowledge base, development commands and install with dev dependencies.
Red-Hat-AI-Innovation-Team/training_hub
Plugin Claude Code
Plugin marketplace listing 1 plugin: training-hub.
Red-Hat-AI-Innovation-Team/training_hub
Plugin Claude Code
LLM post-training — unified interface for SFT, OSFT, LoRA fine-tuning, and GRPO reinforcement learning.
Red-Hat-AI-Innovation-Team/training_hub
Skill Claude CodeCodex
Use when the user wants to estimate GPU memory (VRAM) requirements for a training configuration, check if a model will fit on their GPUs, or plan GPU allocation for training.
Red-Hat-AI-Innovation-Team/training_hub
Skill Claude CodeCodex
Use when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.
Red-Hat-AI-Innovation-Team/training_hub
Skill Claude CodeCodex
Use when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead.
Red-Hat-AI-Innovation-Team/training_hub
Skill Claude CodeCodex
Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves, and leveraging backend-specific features. Use when the user is working with traininghub, fine-tuning language models…
Red-Hat-AI-Innovation-Team/training_hub
Instructions file CodexOpenCode
Instructions for Red-Hat-AI-Innovation-Team/training_hub, covering agents.md - training hub, project overview, quick commands, install in editable mode (development) and install with lora support.
Red-Hat-AI-Innovation-Team/training_hub
Instructions file
Instructions for Red-Hat-AI-Innovation-Team/training_hub, a project described as: An algorithm-focused interface for common llm training, continual learning, and reinforcement learning techniques.