cppppCaptures 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/cppppGrade 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 17, 2026 · audit v1.0
Generated Mar 21, 2026
A development team uses this skill to log coding errors and learnings from debugging sessions, enabling continuous improvement of code quality and team knowledge. It helps track recurring issues and promotes best practices across projects.
An AI-powered customer support agent logs user corrections and feature requests to improve response accuracy and identify gaps in its knowledge base. This enhances customer satisfaction by adapting to common queries and errors.
Data scientists log errors from API failures and outdated data models, using the skill to refine analysis pipelines and document best practices for reproducibility. It supports collaboration by sharing learnings across team sessions.
DevOps engineers integrate this skill to capture tool failures and infrastructure errors, promoting solutions to workspace files for hardening deployment processes. It aids in automating error resolution and workflow improvements.
An AI tutor logs student corrections and knowledge gaps to personalize learning paths and update teaching materials. This enables adaptive learning by tracking common misunderstandings and refining instructional content.
Offer this skill as a premium add-on for AI development platforms, charging a subscription fee for enhanced logging and learning features. Revenue comes from monthly or annual licenses tailored to team sizes.
Provide consulting services to businesses for customizing the skill to their specific workflows, with revenue from one-time setup fees and ongoing support contracts. This includes training and integration with existing tools.
Release the core skill as open source to build a community, while monetizing advanced features like analytics dashboards and cross-session learning sharing through enterprise licenses. Revenue is generated from large organizations.
💬 Integration Tip
Start by setting up the .learnings directory in your project and use the quick reference table to log common scenarios, then gradually promote key learnings to workspace files for broader impact.
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.
A battle-tested OpenClaw setup with pre-wired identity, memory architecture, security protocols, and automation. Skip weeks of trial and error — install this...
Global, namespaced learning memory for OpenClaw. Use when users correct output, set stable preferences, ask what was learned, ask for memory stats, or reques...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
三件套闭环引擎 v2 — 女娲+达尔文+workflow-engine 自动联动。 4大安全机制:白名单排除/人工确认/任务验证/淘汰机制。
元技能(Meta-Skill)。为其他 skill 提供交互式定向进化与吞噬融合能力,配备三层回滚防护。 触发场景:(1) 用户说"进化/迭代/改进 [skill名]";(2) 用户说"吞噬/吸收 [skill名] 的能力"; (3) 用户说"skill进化/吞噬"等。两条平行路径:A.定向进化(按工具类型选方向...