clawlensWhat do you use Claw for most? Where do you get stuck? Clawlens analyzes your conversation history to surface usage patterns, friction points, and skill effe...
Install via ClawdBot CLI:
clawdbot install dunzhang/clawlensGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://docs.litellm.ai/docs/providersAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Developers building custom AI agents with OpenClaw can use Clawlens to analyze conversation logs, identify which skills are most effective, and pinpoint where users get stuck. This helps refine agent behavior, improve skill integration, and enhance user experience by addressing friction points in interactions.
Businesses deploying OpenClaw for customer support can run Clawlens to analyze support conversations, classify common queries, and detect recurring issues or unresolved questions. This enables data-driven improvements to support workflows, training materials, and skill deployment to reduce response times and increase satisfaction.
Educators using OpenClaw as a tutoring or learning assistant can leverage Clawlens to review student interactions, assess which educational skills are most utilized, and identify areas where students struggle. This informs curriculum adjustments, skill enhancements, and personalized learning path recommendations.
Organizations integrating OpenClaw into internal workflows, such as data analysis or project management, can use Clawlens to audit conversation history for efficiency patterns, skill adoption rates, and autonomous behavior effectiveness. This supports process optimization, compliance checks, and resource allocation decisions.
Product teams can employ Clawlens to analyze user conversations with OpenClaw agents, extracting insights on feature requests, usability issues, and skill preferences. This aggregates qualitative feedback at scale, guiding product roadmaps and prioritizing development based on actual usage data.
Offer Clawlens as a cloud-based service where users upload conversation logs to generate insights reports via a web interface. Monetize through subscription tiers based on analysis volume, report features, and integration options with other tools.
Provide professional services to businesses for deploying and customizing Clawlens, including tailored analysis scripts, integration with existing data pipelines, and training for interpreting reports. Charge per project or retainer for ongoing optimization support.
Distribute Clawlens as open source to build a community, with premium features like advanced visualizations, team collaboration dashboards, or priority support available for purchase. Generate revenue from enterprise licenses and add-ons while fostering adoption through the free version.
💬 Integration Tip
Ensure LLM API keys are securely set via environment variables before running the script to avoid errors and maintain privacy, and use the cache feature to speed up repeated analyses.
Scored Jun 19, 2026
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Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files