self-improving-agent-localCaptures 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 healersss/self-improving-agent-localGrade 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 18, 2026 · audit v1.0
Generated Mar 2, 2026
A development team uses the self-improvement skill to log coding errors, user corrections, and API failures during project development. They review learnings before major tasks to prevent recurring issues and promote best practices to team documentation.
An AI agent in customer support logs user corrections and feature requests to improve response accuracy and identify gaps in knowledge. It uses the skill to track common errors and update behavioral guidelines in SOUL.md for better user interactions.
A DevOps team implements the skill to capture tool failures and infrastructure errors, logging them to ERRORS.md. They promote workflow improvements to AGENTS.md for automating deployments and hardening recurring patterns in system configurations.
An AI assistant for content creation logs knowledge gaps and user feedback on outdated information. It uses LEARNINGS.md to refine writing styles and promote behavioral patterns to SOUL.md for consistent tone and accuracy.
A tutoring bot uses the skill to log student corrections and missing capabilities in FEATURE_REQUESTS.md. It reviews learnings to update educational content and promote best practices to AGENTS.md for adaptive teaching workflows.
Offer the self-improvement skill as a cloud-based service with analytics dashboards for teams to track AI agent improvements. Revenue comes from monthly subscriptions based on usage tiers and advanced features like cross-session learning sharing.
Provide consulting services to help organizations integrate the skill into their existing AI workflows, including custom setups and training. Revenue is generated through project-based fees and ongoing support contracts.
Distribute the skill as open source to encourage community adoption and contributions. Generate revenue by offering premium support, enterprise features, and dedicated hosting options for large-scale deployments.
💬 Integration Tip
Ensure the CLAUDE_TOOL_OUTPUT environment variable is set for OpenClaw integration, and create the .learnings directory with proper file templates to start logging effectively.
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。