Shane
ab6b5254ef
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*
36 lines
1.1 KiB
Markdown
36 lines
1.1 KiB
Markdown
# Skills
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Skills are learned procedures that Hope distills from conversations.
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One `.md` file per skill, saved here by the skills MCP server
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(`agent/skills_mcp.py`) and mounted into the container at `/skills`.
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## How they differ from memory
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- **Memory** (`./memory/`) stores *facts*: names, preferences, things
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Hope should remember.
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- **Skills** (this directory) store *how to do things*: repeatable
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procedures, workflows, and multi-step tasks Hope has learned.
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## File format
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```markdown
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# Make a Coffee Order
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How to place an order at the local coffee shop on behalf of the user.
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## Steps
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1. Confirm the usual drink (oat latte, extra hot).
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2. Ask if they want anything new today.
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3. Read back the order and confirm.
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4. Tell them the pickup time.
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---
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Created: 2026-08-22T12:00:00+00:00
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Source: conversation-learned
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```
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Hope saves a skill when it successfully completes a multi-step task or
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the user teaches it a new procedure, and recalls one with `skill_recall`
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before performing a task it has done before. Skills are updated in place
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when the procedure improves.
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