cpskilltest111Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Install via ClawdBot CLI:
clawdbot install blockcloud/cpskilltest111Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/peterskoett/self-improving-agent.gitAudited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
A development team uses this skill to log coding errors, API failures, and user corrections during agile sprints. It helps track recurring bugs and knowledge gaps, enabling continuous improvement in code quality and team efficiency through automated logging and review processes.
An AI-powered customer support agent employs this skill to record user corrections and feature requests from interactions. By logging errors and learnings, it refines response accuracy and identifies missing capabilities, improving service quality over time.
DevOps engineers integrate this skill to document tool failures, configuration errors, and best practices in infrastructure automation. It aids in hardening recurring patterns and promoting workflow improvements to reduce downtime and enhance reliability.
Content creators use this skill to log corrections from editors, outdated knowledge in drafts, and better approaches for recurring tasks like SEO optimization. It supports continuous refinement of content quality and workflow efficiency.
An AI tutoring system applies this skill to capture student corrections, knowledge gaps in subject matter, and errors in problem-solving steps. This enables adaptive learning by updating instructional methods and content based on logged insights.
Offer a cloud-based service where AI development teams subscribe to use this skill integrated into their workflows. Revenue comes from monthly subscriptions based on usage tiers, with premium features like advanced analytics and cross-team collaboration tools.
Provide consulting services to help organizations implement this skill within their AI agents and workflows. Revenue is generated through project-based fees for setup, customization, and training, along with ongoing support contracts.
Distribute the skill as open-source software to build a community, while offering enterprise add-ons such as enhanced security, integration with proprietary tools, and dedicated support. Revenue streams include licensing fees for add-ons and premium support packages.
💬 Integration Tip
Start by setting up the .learnings directory and basic log files in your project, then integrate reminders into agent files like CLAUDE.md to ensure consistent usage during development cycles.
Scored Apr 19, 2026
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.
技能自进化引擎 (Skill Self-Evolution Engine) - 全球AI技能基础设施 从技能进化系统升级为技术底座，支持多平台、多技能协同进化。 实现技能间正向演化飞轮：引擎越厉害 -> 技能同步越厉害 -> 越用越进化。 使用场景: 1. 技能自进化引擎内核管理 2. 跨平台技能同步进化 3....
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, ex...
九章技能进化系统CLI工具 - 自动收集技能使用数据、分析进化需求、生成周报并上报。用于技能自我进化闭环的数据飞轮基础设施。