improvement-generator当需要为目标 skill 生成改进候选、把上次失败信息注入下一轮生成、或分析历史记忆模式来避免重复失败时使用。支持 --trace 注入失败上下文。不用于打分（用 improvement-discriminator）或评估（用 improvement-learner）。
Install via ClawdBot CLI:
clawdbot install lanyasheng/improvement-generatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Apr 17, 2026
Used by development teams to iteratively improve code review or testing skills after failed automated checks, injecting failure traces to avoid repeating ineffective fixes like adding invalid code examples. It generates prioritized improvement candidates for skill packages, reducing manual debugging time.
Applied in customer service to refine chatbot response skills by analyzing past interaction failures, such as inaccurate answers, and generating trace-aware improvements to prioritize clarity or coverage over repeated accuracy issues. This accelerates bot training cycles in live environments.
Utilized by e-learning platforms to improve instructional skill packages based on student feedback traces, deprioritizing failed strategies like unclear examples and focusing on alternative dimensions such as engagement or structure to enhance learning outcomes.
Employed by marketing teams to optimize campaign management skills by injecting failure traces from underperforming ads, generating candidates that avoid repeated targeting errors and prioritize new creative or audience dimensions for better ROI.
Used in healthcare to enhance diagnostic AI skills by analyzing trace data from misdiagnoses, generating improvement candidates that shift focus from failed accuracy strategies to coverage or data integration, aiding in regulatory compliance and patient safety.
Offered as a cloud-based service where users pay a monthly fee to access the improvement generator for continuous skill optimization, with tiers based on usage volume and integration support. Revenue is generated through recurring subscriptions and premium features like advanced trace analysis.
Sold as a licensed tool to large organizations for internal AI skill development, with one-time or annual fees for deployment on-premises or in private clouds. Revenue comes from license sales, customization services, and ongoing maintenance contracts.
Provided as a free basic version for individual developers or small teams, with paid upgrades for advanced features like batch processing, memory integration, and priority support. Revenue is generated through upgrade conversions and add-on services.
💬 Integration Tip
Integrate this skill early in improvement loops by feeding failure traces from previous iterations to avoid redundant candidates, and pair it with the discriminator for scoring to streamline workflow.
Scored Apr 19, 2026
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