Extract and structure error patterns from IDE errors into LEARN-XXX schema files.
npx skills add https://github.com/pikakit/agent-skills --skill auto-learner
Please help me install this Agent Skill. Skill: auto-learner Source: https://github.com/pikakit/agent-skills/tree/main/.agent/skills/auto-learner Command: npx skills add https://github.com/pikakit/agent-skills --skill auto-learner
Autonomous learning agent that extracts patterns from IDE errors, user corrections, and agent failures. Writes structured patterns to auto-learned skill. Triggers on: auto-learn, mistake, error fix, pattern extraction.
Instruct the agent to analyze the latest IDE error, extract the root cause, and store the pattern under auto-learned/patterns.
High-intent search queries and answers about installing and using this skill.
To extract error patterns from IDE errors, the agent analyzes the error and user corrections to identify the root cause and stores the structured pattern under auto-learned/patterns. It categorizes the issue using a LEARN-XXX schema for future reuse.
Error-driven pattern learning is the process of capturing recurring issues during development and debugging to prevent similar failures. It structures mistakes into reusable patterns that can be applied during code reviews and development.
You store root cause analysis results by triggering the agent on a mistake or error fix, which then writes the structured pattern to the auto-learned directory. It enforces a LEARN-XXX schema to ensure consistent categorization.
Yes, the extracted patterns interoperate with problem-checker, skill-generator, and the learner agent to apply learned patterns. This integration ensures that captured errors are actively reused during development and debugging.
You should trigger autonomous pattern extraction during development, debugging, and code-review scenarios where recurring issues should be captured. It activates on auto-learn, mistake, error fix, or pattern extraction commands.
vrcmsDiagnose and recover from AI agent execution failures using a four-phase workflow.
nbarthelemyObserve development patterns and auto-create automation opportunities after recurrent occurrences.
pikakitStore categorized IDE error patterns with authorized ingestion and fast JSON index lookups.
kynopticAnalyze stack traces and error logs to identify root causes and propose fixes.
