Execute Python analysis over complete conversation histories via the Moonshot API.
npx skills add https://github.com/FatBy/DD-OS --skill rlm-engine
Please help me install this Agent Skill. Skill: rlm-engine Source: https://github.com/FatBy/DD-OS/tree/main/skills/rlm-engine Command: npx skills add https://github.com/FatBy/DD-OS --skill rlm-engine
This skill enables deep, programmatic analysis of complete conversation histories, going beyond simple keyword searches to uncover patterns, perform calculations, and cross-reference data across multiple sessions.
Use RLM to analyze all our discussions about project X from the last quarter.
High-intent search queries and answers about installing and using this skill.
Deep reasoning over conversation history is performed by executing Python code for counting, aggregation, and cross-session data referencing. This enables complex pattern detection and statistical analysis across all sessions beyond simple keyword searches.
Yes, you can run Python code for counting, aggregation, and statistical analysis on conversation data. The Skill executes programmatic reasoning over complete histories to uncover patterns that standard memory search cannot perform.
Conversation analysis using RLM is triggered only when explicitly requested via specific trigger phrases. You can activate it by asking the system to use RLM to analyze discussions or find patterns over a specific period.
Yes, uv is required as a dependency to analyze conversation patterns across multiple sessions. It supports the environment needed to execute the Python code necessary for cross-session data referencing and aggregation.
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