analyzeStructured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.
Install via ClawdBot CLI:
clawdbot install ivangdavila/analyzeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Feb 25, 2026
A marketing team uses the Analyze skill to evaluate campaign performance data, identifying critical metrics like conversion rates and cost-per-acquisition. They prioritize issues such as low engagement in certain demographics and counter biases by questioning initial assumptions about target audiences.
A software engineering team applies the Analyze skill during code reviews to detect critical bugs and dead code before deployment. They use frameworks like pre-mortem to anticipate failures and ensure prioritization of high-risk issues over stylistic concerns.
An investment analyst uses the Analyze skill to assess potential investments, focusing on critical factors like market trends and financial risks. They employ the steel man framework to challenge their conclusions and avoid confirmation bias in decision-making.
A researcher utilizes the Analyze skill to review academic texts, evaluating the strength of evidence and thesis coherence. They prioritize key arguments, mark sources to distinguish facts from opinions, and seek disconfirmation to enhance rigor.
A product design team employs the Analyze skill to review visual interfaces for dominance and consistency across platforms. They identify critical alignment issues with platform conventions and prioritize improvements based on user impact.
Offer the Analyze skill as a cloud-based service with tiered subscriptions for teams, providing structured analysis tools and frameworks. Revenue is generated through monthly or annual fees based on user count and advanced features like custom domain integrations.
Provide customized consulting services to large organizations, integrating the Analyze skill into their decision-making processes. Revenue comes from project-based fees for implementation, workshops, and ongoing support to enhance analytical capabilities.
Develop a freemium application where individuals can access basic analysis features for free, with premium upgrades for advanced frameworks and collaboration tools. Revenue is driven by in-app purchases and premium subscriptions for power users.
💬 Integration Tip
Integrate the Analyze skill by embedding its structured output format into existing workflows, such as project management tools or data dashboards, to ensure consistent prioritization and action-oriented conclusions.
Scored Apr 22, 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 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
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Remove AI writing patterns from text. Use when editing, reviewing, or rewriting text to sound more natural and human-written. Detects patterns like inflated symbolism, promotional language, em dash overuse, AI vocabulary, and sycophantic tone.