Compaction: - GemmaLLM.chat() truncates ChatContext to last 30 items (~15 turns) before sending to LLM, preventing context window overflow on long conversations. Preserves system prompt and removes orphaned tool calls. Skills: - agent/skills_mcp.py: MCP server with skill_save, skill_recall, skill_list, skill_update tools backed by .md files in /skills - skills/ dir bind-mounted into container, git-trackable - System prompt instructs Hope to save repeatable procedures as skills and recall them before performing tasks she's done before - Distinct from memory (facts) — skills are learned *procedures*
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