Review session-end conversations and route corrections to memory tiers.
npx skills add https://github.com/eddowding/orion_cos --skill wrap-eddowding
Please help me install this Agent Skill. Skill: wrap Source: https://github.com/eddowding/orion_cos/tree/main/Operations/Claude/skills/operations/wrap Command: npx skills add https://github.com/eddowding/orion_cos --skill wrap-eddowding
This Skill automates the crucial end-of-session review process, ensuring that learnings, corrections, and new facts are systematically captured and integrated into the AI's knowledge base and operational rules.
Run the wrap skill to review the last session and update memory.
High-intent search queries and answers about installing and using this skill.
Automated session review identifies mistakes and missing context from conversations, then routes these updates to global, vault, or per-project memory tiers. This process converts session debriefs into persistent rule updates for future AI context.
Contextual learning in AI knowledge management is the process of analyzing a session for missing context and successful patterns. It identifies where user input was repeated or unclear to extract key facts for memory updates and rule refinement.
To save AI self-corrections, run an end-of-session debrief that logs mistakes and failed approaches. The review identifies errors and formats them as persistent memory entries, proposing specific rule updates like 'when X, do Y instead of Z' for future sessions.
Yes, AI context capture updates can be routed to global, vault, or per-project memory tiers. The review process categorizes insights by scope to ensure updates are formatted and persisted at the correct hierarchical level.
Comprehensive AI memory management and rule refinement require read, write, edit, glob, and grep tools. These tools enable deep analysis and modification of skill files and memory entries during the session-end review.
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