Define exact parameters and decision trees for rekal memory tool usage.
npx skills add https://github.com/janbjorge/rekal --skill rekal-usage
Please help me install this Agent Skill. Skill: rekal-usage Source: https://github.com/janbjorge/rekal/tree/main/skills/rekal-usage Command: npx skills add https://github.com/janbjorge/rekal --skill rekal-usage
Operational guide for rekal memory tools. Precise rules for when/how to call each tool, with exact parameters and decision trees. Use at session start, when onboarding to a rekal workspace, or when user asks "how do I use rekal", "what rekal tools", "help with memory". Trigger: /rekal-usage.
Invoke /rekal-usage to load the full operational rules and start using the rekal memory tools.
High-intent search queries and answers about installing and using this skill.
To use rekal memory tools at session start, invoke the rekal-usage guide to load precise operational rules. This provides decision trees and exact parameters for safely calling memory_build_context and conversation_start to initialize your workspace.
Rekal memory search and storage operations require exact parameters defined by the rekal-usage policy. The guide specifies allowed arguments for memory_search, memory_store, and memory_supersede to ensure safe memory lifecycle management.
Use memory_supersede to replace outdated memory context and memory_update to modify existing entries. The rekal-usage decision trees dictate the exact conditions and tool call parameters for managing memory lifecycles safely during your workflow.
Yes, rekal tools can manage conversation threads and detect stale memory. The rekal-usage guide defines parameters for conversation_threads, conversation_stale, and memory_health to monitor and maintain active memory context.
The best way to resolve rekal memory conflicts is by following the rekal-usage decision tree. It provides exact parameters for calling memory_conflicts and memory_related to identify, evaluate, and safely resolve contradictory memory context.
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