self-evolving-skill-1-0-2Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.
Install via ClawdBot CLI:
clawdbot install 86293073/self-evolving-skill-1-0-2Grade 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/whtoo/self-evolving-botAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Deploy the skill to analyze customer interactions and automatically evolve responses based on success metrics and value gains, reducing manual tuning and improving resolution rates over time.
Use the skill to process sensor data embeddings, identify novel failure patterns through residual analysis, and generate sub-skills for proactive maintenance scheduling, minimizing downtime.
Integrate the skill to adapt educational content by decomposing learner performance data, triggering reflections to create tailored learning paths that enhance long-term knowledge retention.
Apply the skill to analyze transaction embeddings, using value-gated mechanisms to evolve detection rules based on residual novelty scores, improving accuracy while reducing false positives.
Leverage the skill to process medical data embeddings, automatically generating sub-skills for identifying rare conditions through pyramid decomposition and adaptive reflection triggers.
Offer the skill as a cloud-based service with tiered pricing based on usage volume and advanced features like custom value gates, targeting enterprises needing scalable AI evolution.
Provide professional services to customize and deploy the skill for specific client workflows, including training and support, ideal for industries with complex data environments.
Distribute the core skill freely under an open-source license while monetizing premium tools such as enhanced analytics dashboards, priority support, and enterprise-grade persistence options.
💬 Integration Tip
Start by integrating the MCP server for tool-based interactions, ensuring proper storage paths are configured to leverage persistence and experience replay effectively.
Scored Apr 18, 2026
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A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
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.