brainstorming-research-ideas
π―Skillfrom orchestra-research/ai-research-skills
Structured ideation frameworks for discovering high-impact research directions with 10 complementary lenses (384 lines). Part of orchestra-research/ai-research-skills.
Same repository
orchestra-research/ai-research-skills(106 items)
Installation
npx vibeindex add orchestra-research/ai-research-skills --skill brainstorming-research-ideasnpx skills add orchestra-research/ai-research-skills --skill brainstorming-research-ideas~/.claude/skills/brainstorming-research-ideas/SKILL.mdSKILL.md
More from this repository10
A collection of 7 multimodal AI research skills covering CLIP, Whisper, LLaVA, BLIP-2, SAM, Stable Diffusion, and AudioCraft β part of Orchestra Research's 83 AI research engineering skills for coding agents.
A collection of 4 AI safety and alignment research skills covering Constitutional AI, LlamaGuard safety classifier, NeMo programmable guardrails with Colang, and Meta's Prompt Guard injection detector β part of Orchestra Research's AI research engineering skills.
A tokenization skill from the AI Research Engineering Skills Library, which offers 83 skills across 20 categories covering model architecture, fine-tuning, inference, and other AI research areas.
Streamlines AI research workflows by providing curated Claude skills for data analysis, literature review, experiment design, and research paper generation.
Assists AI researchers in drafting, structuring, and generating machine learning research papers with academic writing best practices and technical precision.
A knowledge distillation skill from the AI Research Engineering Skills Library, the most comprehensive open-source collection of AI research engineering skills for AI agents.
A skill from the AI Research Engineering Skills Library providing Phoenix observability integration for AI research workflows, part of a comprehensive open-source collection of AI research engineering skills for AI agents.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement NVIDIA NeMo Guardrails for LLM safety, covering jailbreak detection, input/output validation, and hallucination detection.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement LangSmith observability for monitoring and tracing LLM application performance.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement MILES (Model-based Imitation Learning from Extreme States) reinforcement learning training for robust policy optimization.