core-brainstorming在任何创造性工作之前必须使用 - 创建功能、构建组件、添加新功能或修改行为。通过协作对话探索用户意图、需求和设计。
Install via ClawdBot CLI:
clawdbot install tlreal/core-brainstormingGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A tech startup wants to add a new recommendation engine to their e-commerce app. The skill helps clarify user intent, explore algorithmic options, and design the system architecture incrementally.
An engineering firm is designing a smart home sensor. The skill guides analysis of hardware constraints, selection of embedded platforms, and creation of a detailed firmware design with error handling.
A research lab needs a custom simulation for climate modeling. The skill assists in defining simulation requirements, exploring architectural trade-offs, and documenting the design for implementation.
A media company plans to overhaul their streaming app's user interface. The skill facilitates understanding user needs, proposing design alternatives, and outlining component interactions step-by-step.
A corporation is integrating a new CRM module into their legacy systems. The skill helps explore integration strategies, assess data flow options, and design error-handling mechanisms collaboratively.
Offer the skill as part of a paid consulting package for businesses needing structured brainstorming sessions. Charge per project or hourly for guiding design processes and documentation.
Integrate the skill into a SaaS platform for developers, providing automated design assistance. Monetize through subscription tiers based on usage limits or advanced features.
Conduct workshops or courses teaching teams how to apply the skill's principles for creative projects. Generate revenue from enrollment fees and corporate training contracts.
💬 Integration Tip
Integrate this skill early in project lifecycles to align stakeholders and reduce rework by incrementally validating designs.
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.
Chat with Grok models via xAI API. Supports Grok-3, Grok-3-mini, vision, and more.
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.
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。