analogical-reasoningApply analogical reasoning to transfer knowledge from familiar domains to unfamiliar ones. Use when the user needs creative problem-solving by finding struct...
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clawdbot install wanikua/analogical-reasoningGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
Use analogical reasoning to compare new software features to existing products in different industries, identifying structural parallels like user engagement loops or scalability challenges. This helps in innovating by adapting proven strategies while avoiding pitfalls from superficial similarities.
Apply analogies from biology or history to understand consumer behavior patterns, such as comparing brand loyalty to ecosystem symbiosis or market trends to historical economic cycles. This enables creative campaign designs and risk assessment by mapping deep causal relationships.
Use analogical reasoning to transfer principles from past legal cases to new, unfamiliar scenarios, ensuring structural alignment in arguments while identifying where disanalogies might weaken the case. This supports robust legal strategy and precedent evaluation.
Draw analogies from games or engineering to structure learning modules, mapping game progression dynamics to student skill development or engineering feedback loops to adaptive teaching methods. This enhances engagement and effectiveness by leveraging cross-domain insights.
Compare medical conditions to military strategies or economic systems to develop new treatment approaches, such as mapping immune response to defense tactics or patient recovery trajectories to market rebounds. This fosters creative problem-solving while highlighting breakdowns in analogy for safety.
Offer specialized analogical reasoning workshops and analysis for businesses tackling complex problems, helping clients generate innovative solutions by mapping insights from diverse domains. Revenue comes from project-based fees and retainer contracts.
Develop a software tool that guides users through the analogical reasoning steps, providing templates and databases of source analogies across industries. Revenue is generated through subscription tiers and enterprise licensing.
Create online courses and certifications in analogical reasoning for professionals in fields like innovation management or strategy, with revenue from course sales, certification fees, and corporate training packages.
💬 Integration Tip
Integrate this skill by starting with small, low-stakes problems to practice mapping analogies, and use the breakdown analysis step to avoid over-reliance on superficial similarities.
Scored Apr 19, 2026
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
Collaborative thinking partner for exploring complex problems through questioning
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.