Analyze reflexion episodes to discover causal patterns and reusable skills.
npx skills add https://github.com/dug-21/neural-data-platform --skill learner
Please help me install this Agent Skill. Skill: learner Source: https://github.com/dug-21/neural-data-platform/tree/main/.claude/skills/learner Command: npx skills add https://github.com/dug-21/neural-data-platform --skill learner
Analyzes reflexion episodes to automatically discover causal patterns, reasoning patterns, and reusable skills.
Run the learner workflow after completing a feature to surface patterns and prepare for consolidation:
High-intent search queries and answers about installing and using this skill.
To auto-discover patterns from reflexion episodes, run the learner skill after completing a feature. It analyzes episode data to extract causal patterns, reasoning patterns, and reusable skills, then stores them in the MCP agentdb patterns store.
Consolidating learnings into reusable skills in agentdb involves running the learner workflow to surface patterns, followed by the skill consolidate command. This captures successful reasoning patterns and prepares them for reuse in future tasks.
Yes, you can identify reasoning patterns needing review within the agentdb patterns store. The learner skill automatically analyzes reflexion episodes and flags specific causal patterns that require manual inspection before consolidation.
To prune outdated reflexion episodes after extracting machine learning patterns, use the agentdb reflexion prune command. This removes obsolete episode data after the learner skill has successfully captured and consolidated the reusable reasoning patterns.
No, the learner skill requires no external dependencies to analyze reflexion episodes. It operates entirely within the MCP agentdb system, leveraging the legacy and Patterns tables to store and manage discovered causal patterns natively.
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