self-improving-metaImproves the agent infrastructure itself — core prompt files (AGENTS.md, SOUL.md, TOOLS.md, CLAUDE.md), skill definitions, hooks, rules, extensions, and memo...
Install via ClawdBot CLI:
clawdbot install jose-compu/self-improving-metaGrade 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/jose-compu/self-improving-meta.gitAudited Apr 17, 2026 · audit v1.0
Generated May 5, 2026
A large enterprise uses multiple AI agents across departments with shared prompt files. The skill identifies context bloat in AGENTS.md and proposes a minimal patch to reduce verbosity, improving token efficiency and agent response speed.
An e-commerce platform has conflicting rules between inventory management and customer service skills. The skill logs the rule conflict to LEARNINGS.md and suggests a resolution that harmonizes both skills without breaking existing workflows.
A startup's AI agent exhibits erratic behavior due to stale memory entries. The skill audits MEMORY.md, identifies outdated entries causing prompt drift, and proposes a 30-day rotation policy to maintain memory quality.
A healthcare AI system relies on hooks for patient data validation. A hook fails silently, risking data integrity. The skill logs the incident to META_ISSUES.md and assists in debugging the hook script to restore functionality.
A fintech application has a newly installed skill that fails to activate in certain sessions. The skill logs the activation failure to META_ISSUES.md and identifies missing dependencies in the skill template, proposing a fix.
Offer a base subscription for AI agent usage and premium tiers that include self-improving meta capabilities. Provide analytics dashboards showing prompt drift trends, rule conflicts, and context bloat metrics to justify higher tiers.
Provide consulting engagements to audit and optimize existing AI agent infrastructure using the self-improving meta skill. Deliverables include a full report of findings, prioritized issue logs, and implementation of recommended patches.
Create a marketplace where users can submit, review, and purchase vetted patches and templates for common infrastructure issues. The self-improving skill identifies gaps that can be filled by marketplace offerings, driving transactions.
💬 Integration Tip
Start by initializing the `.learnings/` directory in your workspace and log a few real incidents manually to build familiarity before enabling automatic hooks.
Scored Jul 13, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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