Structure complex problems into evidence-based analyses with ranked recommendations.
npx skills add https://github.com/linenoize/topia --skill problem-solver-linenoize
Please help me install this Agent Skill. Skill: problem-solver Source: https://github.com/linenoize/topia/tree/main/skills/problem-solver Command: npx skills add https://github.com/linenoize/topia --skill problem-solver-linenoize
This Skill helps you analyze ambiguous, high-stakes, or complex problems by forcing structured reasoning before conclusions, reducing guesswork and cognitive bias.
Ask the problem-solver skill to analyze your problem, classify its complexity, identify likely biases, and return a ranked set of solutions.
High-intent search queries and answers about installing and using this skill.
Root cause analysis for complex software problems is structured by classifying the domain, detecting cognitive biases, selecting reasoning frameworks like 5 Whys or Fishbone, and producing ranked remediation options. This approach separates symptoms from actual root causes.
Evaluating technical architecture trade-offs is best done by applying weighted decision matrices and pre-mortems to compare options. This process steel-mans competing directions, tests underlying assumptions, and selects an evidence-backed recommendation.
Identifying cognitive bias in high-stakes technical decisions involves actively checking for confirmation bias, anchoring, sunk cost, and overconfidence before conclusions are drawn. Structured reasoning frameworks flag these decision traps to prevent distorted judgment.
You need structured problem-solving frameworks when facing ambiguous, high-stakes, or complex situations where guesswork risks outcomes. Frameworks like SWOT or PESTLE match analysis depth to the problem, decomposing unclear work into ranked decisions.
Yes, you can use this approach for diagnosing repeated production failures by isolating root causes and testing assumptions. It systematically distinguishes symptoms from actual failures and generates ranked remediation options for technical settings.
The limitation of using decision frameworks for problem decomposition is that they require accurate domain classification to be effective. If a complex situation is misclassified as merely complicated, the selected framework and resulting recommendations may mismatch the actual problem.
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