Commands, agents, hooks, and skills for Python-based deep learning research workflows
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Interactive brainstorming skills that guide collaborative idea exploration through structured dialogue — one question at a time, multiple approaches, incremental validation
Transform research papers and code repositories into high-quality reusable skills through multi-agent council deliberation with 3 specialist analysts, anonymized peer review, and chairman synthesis
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents
Interactive brainstorming skills that guide collaborative idea exploration through structured dialogue — one question at a time, multiple approaches, incremental validation
Interactive brainstorming skills that guide collaborative idea exploration through structured dialogue — one question at a time, multiple approaches, incremental validation
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills
Toolkit for deep learning researchers: planning, analysis, and TDD agents with brainstorming skills