Execute the SIC loop for sensemaking, innovation, and critique on complex questions.
npx skills add https://github.com/karaposu/homegrown --skill mvl
Please help me install this Agent Skill. Skill: MVL Source: https://github.com/karaposu/homegrown/tree/main/homegrown/MVL Command: npx skills add https://github.com/karaposu/homegrown --skill mvl
This Skill guides the execution of the SIC (Sensemaking, Innovation, Critique) loop to systematically explore and refine answers to complex questions.
Run the SIC loop on your question to generate a detailed, iterative analysis and refined answer.
High-intent search queries and answers about installing and using this skill.
The SIC loop systematically handles complex reasoning by executing continuous cycles of sensemaking, idea generation, and critical critique. This iterative refinement process deepens understanding and systematically improves responses until a question is satisfactorily answered.
The best way to troubleshoot ambiguous issues with multiple reasoning layers is applying an iterative critique loop. It facilitates structured problem-solving by cycling through sensemaking and creative innovation, ensuring transparency and systematic refinement for complex questions.
Yes, you can use iterative AI reasoning to develop comprehensive project plans. By running a structured sensemaking and critique loop, the AI continuously improves project details, ensuring all strategic angles are explored and refined until the plan is complete.
Multi-phase AI reasoning works across different disciplines by applying a standardized sensemaking, innovation, and critique workflow. This structured approach ensures transparency and systematic refinement regardless of the specific domain or subject matter of the complex question.
You should avoid using an iterative sensemaking and critique loop for straightforward questions that require immediate, single-pass answers. The multi-phase refinement process is designed for complex, ambiguous problems that demand deep exploration and systematic refinement.
yu13130122297Identify uncertainties in research framing, datasets, metrics, and baselines.
AlejandroFiginiAudit strategic plans for scope, ambition, and feasibility gaps.
Proxy2021Track deployment progress across PKG phases and data sources.
pgm1980Select prompting strategies for complex multi-step reasoning tasks.
