copilotTransform your agent from chatbot to copilot with context persistence, proactive anticipation, and opinionated help across sessions.
Install via ClawdBot CLI:
clawdbot install ivangdavila/copilotGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A development team uses the Copilot skill to maintain context across coding sessions, such as ongoing bug fixes or feature implementations. The agent proactively monitors CI/CD pipeline statuses and test results, offering reminders or suggestions based on project state files, reducing interruptions and re-explanation needs.
Creative agencies employ the Copilot skill to track design iterations, client feedback, and deadlines across multiple projects. The agent anticipates needs by referencing priorities and decisions files, helping teams stay aligned on style consistency and upcoming deliverables without manual context updates.
Researchers utilize the Copilot skill to persist context on ongoing experiments, literature reviews, and data analysis tasks. The agent references patterns and decisions logs to provide opinionated help on methodology or writing, ensuring continuity between work sessions and reducing cognitive load.
Support teams integrate the Copilot skill to manage complex customer issues that span multiple interactions. The agent maintains active context on unresolved cases, proactively suggesting solutions based on historical decisions and priorities, improving response times and customer satisfaction.
Offer the Copilot skill as part of a premium subscription for AI agent platforms, targeting enterprises that need persistent context management. Revenue is generated through monthly or annual fees based on usage tiers, such as number of state files or integrations.
Provide consulting services to customize the Copilot skill for specific industries, such as development or creative workflows. Revenue comes from one-time setup fees and ongoing support contracts, leveraging the skill's templates and implementation guides.
Deploy a free version of the Copilot skill with basic state file management, then monetize advanced features like automated screenshot analysis or integration with third-party tools. Revenue is driven by upgrades and add-ons for power users.
💬 Integration Tip
Integrate the Copilot skill by setting up automated state file synchronization and configuring heartbeat intervals to match user workflows, ensuring minimal disruption and maximum context persistence.
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 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.