Log lessons learned from debugging and design errors to a JSONL file.
npx skills add https://github.com/tim099/UCL_Core --skill agent-lessons-log
Please help me install this Agent Skill. Skill: agent-lessons-log Source: https://github.com/tim099/UCL_Core/tree/main/Skills~/agent-lessons-log Command: npx skills add https://github.com/tim099/UCL_Core --skill agent-lessons-log
This Skill enables agents to share and manage lessons learned from design pitfalls, debugging issues, and workflow experiences, helping teams avoid repeated errors.
To record a new lesson, run the command: python AgentCommands/run_cmd.py run NoteLesson --arg body="descriptive lesson" --arg actor="agent_id" --arg category="category"
High-intent search queries and answers about installing and using this skill.
To log lessons learned, run the command-line prompt with arguments for the lesson body, actor ID, and category, which automatically appends the entry to a jsonl log for continuous knowledge sharing and process improvement.
Agent knowledge sharing involves logging debugging issues and design flaws into a curated knowledge base, preventing teams and AI agents from repeating known errors by making past insights easily accessible for future operations.
Yes, the system supports command-line entries to automatically record agent insights by executing a Python script with specific arguments, appending the descriptive lesson directly to a structured jsonl log file.
No external dependencies are required to curate agent lessons and debug notes; the system operates independently using bundled scripts and references to store concise summaries in a jsonl log format.
The best way to build a curated knowledge base from workflow experiences is to log concise summaries of common issues and solutions via command-line prompts, ensuring insights are reviewed to inform and improve future operations.
Agents should log design flaws and debugging issues to enable knowledge sharing across the team, preventing others from repeating the same mistakes and promoting best practices through a continuously updated curated knowledge base.
thisisryanswiftExtract filtered conversation skeletons and error signals from JSONL session logs.
raosuraj23Analyze losing trades to classify failures and generate knowledge-base entries.
imehrLog AI executions and learn from feedback using JSONL logs and JSON recommendations.
rijnbGround conversation answers exclusively in curated wiki knowledge base pages.
