aily-self-improvement

What problem does it solve?

This skill provides a consistent, auditable way to capture agent learnings, user corrections, tool errors, and feature requests so teams can track recurring issues, prioritize fixes, and promote important knowledge into project memory.

Core Features & Use Cases

• Structured logging: Templates and ID conventions for Learnings, Errors, and Feature Requests with metadata fields such as priority, status, source, related files, and recurrence tracking.
• Promotion workflow: Guidance for promoting broadly applicable learnings into AGENTS.md, SOUL.md, TOOLS.md, or MEMORY.md to prevent repeated mistakes and encode team conventions.
• Detection & review: Triggers for automatic detection of corrections, errors, and feature requests, plus periodic review instructions to resolve, escalate, or promote entries.
• Use case: After a failed tool execution, log the error with reproduction steps and a suggested fix so the team can assign remediation and avoid repetition.

Quick Start

Log the recent tool failure as an error entry with a concise summary, reproduction steps, suggested fix, and metadata so it is appended to ERRORS.md.