Map complex problems using Belief Updater, Blind Spot Finder, and Complexity Mapper.
npx skills add https://github.com/kju4q/q-claude-skills --skill q-thinking
Please help me install this Agent Skill. Skill: q-thinking Source: https://github.com/kju4q/q-claude-skills/tree/main/skills/thinking Command: npx skills add https://github.com/kju4q/q-claude-skills --skill q-thinking
Helps users understand and map problems deeply before taking action, reducing premature conclusions.
Ask Claude to map the problem using the three techniques to surface assumptions and identify the key leverage point.
High-intent search queries and answers about installing and using this skill.
To map complex problems, you apply structured reasoning techniques to surface hidden assumptions, track competing hypotheses, and identify leverage points for informed decisions.
Tracking competing hypotheses involves maintaining multiple explanations and updating them as new evidence arrives, which clarifies the problem space and prevents premature conclusions when you feel stuck in complex situations.
You identify leverage points by using a complexity mapper to deeply analyze the problem space, surfacing gaps and blind spots in your reasoning to pinpoint where targeted actions will have the greatest impact.
You need critical thinking techniques for problem-solving when facing complex, unclear situations where assumptions must be surfaced, or when you feel stuck and risk jumping to premature solutions without deep understanding.
A belief updater works by maintaining multiple competing hypotheses and systematically updating them as new evidence arrives, ensuring you track reasoning gaps and prevent premature conclusions before taking action.
sicktasticGuide teams through MITRE's Problem Framing Canvas to craft a problem statement and How Might We question.
StepowskiEricUpdate belief states across competing hypotheses as new evidence arrives.
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TibsfoxApply structured decision frameworks to generate action plans.
