learning-evolutionTrack, analyze, and evolve learning patterns from skill usage and user interactions. Use when identifying learning opportunities, tracking skill improvement...
Install via ClawdBot CLI:
clawdbot install harrylabsj/learning-evolutionGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
An online learning platform uses this skill to analyze how students interact with AI tutoring skills, identifying which exercises lead to drop-offs and which features boost completion rates. It helps evolve the skills by adding targeted hints or simplifying complex steps based on usage patterns, improving overall learning outcomes.
A company deploys this skill to track its AI support chatbot's interactions, analyzing error rates and user feedback to pinpoint where the bot fails to resolve issues. It suggests incremental improvements like refining response templates or adding fallback options, leading to higher satisfaction and reduced human agent escalations.
A healthcare provider uses this skill to monitor an AI diagnostic assistant's usage, tracking success rates and error logs to identify misdiagnosis patterns. It recommends breakthrough evolutions such as integrating new medical guidelines or pivoting to focus on specific conditions, enhancing accuracy and patient safety over time.
An e-commerce platform applies this skill to analyze user interactions with its product recommendation skill, measuring effectiveness through click-through rates and purchase conversions. It generates insights to evolve the skill by adjusting algorithms or sunsetting low-performing features, driving increased sales and user engagement.
Offer this skill as a cloud-based service where businesses pay a monthly fee to access learning reports and evolution recommendations. Revenue comes from tiered subscriptions based on usage volume or number of skills analyzed, with premium features like real-time dashboards and custom integrations.
Provide expert consulting to help organizations deploy and customize this skill for their specific AI agents, including setup, training, and ongoing optimization. Revenue is generated through project-based fees or retainer contracts, focusing on high-value industries like finance or healthcare.
Release a free version of this skill with basic usage tracking and simple reports, then upsell premium features such as advanced pattern analysis, forecast modeling, and automated evolution suggestions. Revenue streams include one-time purchases for add-ons or enterprise licensing deals.
💬 Integration Tip
Integrate this skill by first collecting usage data via APIs or logs, then run the provided scripts to generate insights; ensure your AI agent can handle the output formats like JSON reports for automated updates.
Scored Apr 19, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolutio...
Organic personality development through self-observation with lightweight reliability guards. Teaches agents to grow authentic identity over time by combinin...
Local skill for capturing learnings, errors, corrections, and patterns to enable continuous agent improvement. Processes events locally in your OpenClaw agen...
Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and ex...