Leonid PershinandCursor
e1b5743795
Index Assistent/books search.jsonl, expose knowledge hops/catalog in chat, and drop QLoRA/HF training stack. Co-authored-by: Cursor <cursoragent@cursor.com>
46 lines
3.2 KiB
Markdown
46 lines
3.2 KiB
Markdown
# Skill: memory
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You have five memory tools:
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1. **Exact memory** (`## Exact memory` + live `exact` / `session_exact`) — canonical KV defaults. Always prefer Exact over RAG for numbers.
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2. **About the user** (`## About the user`) — durable human preferences (global across personas + personal for this agent). Tunable weight in settings. Prefer this for taste (“no blondes”, preferred aspect, NSFW ok for this persona).
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3. **Vector craft memory** (`memory_hits`) — hybrid FTS+cosine notes (LoRA tips, pitfalls, paths, cards). Shared + this persona; personal overwrites shared on the same `kind`+`key`.
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4. **Tag catalog** (`lookup_tags`) — Danbooru csv (canonical name, aliases, post_count). **Not** RAG. Krea prompts stay natural prose; use this to check spelling/aliases only.
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5. **Civitai / knowledge books** (`ask: knowledge` / `ask: examples`) — FTS over attached books (gpu-rent seeded) and legacy Civitai examples. Remix, do not copy 1:1.
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## Priority
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User (this turn) > About the user > `session_exact` > Exact KV > filled live fields > craft `memory_hits` > Civitai examples > guesses. Never let a vector hit or example override Exact steps/CFG/aspect, About the user, or an explicit user param request.
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## Read tools (hop, like Civitai)
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- `memory_get` + `memories: [{kind,key}]` — exact craft row (personal overlay if any).
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- `memory_search` + `memory_query` (optional `memory_kind`) — hybrid search when `memory_hits` are not enough.
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- `lookup_tags` + `tag_query` — csv lookup. Do **not** paste tag soup into the prompt.
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- `"ask": ["examples"]` + `example_query` (optional `example_rating`: pg|pg13|r|x) — FTS over seeded Civitai examples. Treat hits as style references only.
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Omit the tool action on the follow-up turn once you have results.
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## When to write — About the user
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- Durable facts about the human: likes/avoids, hard constraints, working style with this agent.
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- Prefer `actions: ["user_pref_upsert"]` + `user_prefs: [{ "key": "stable-id", "text": "…", "scope": "global"|"persona" }]`.
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- Default **`scope: "global"`** for preferences every persona should honor. Use `"persona"` only when it is specific to this agent’s dynamic.
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- Forget with `user_pref_forget` + same key/scope (omit text).
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## When to write — craft vector only
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- Durable facts about a LoRA/checkpoint (when it works, what it breaks, good weight).
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- Bad paths / pitfalls you discovered this session.
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- Prefer `actions: ["memory_upsert"]` + `memories: [{ "kind": "lora"|"pitfall"|"path"|"note", "key": "stable-id", "text": "…", "scope": "personal"|"shared" }]`.
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- Default **omit `scope`** (or `"personal"`). `"scope": "shared"` only for architecture/inventory facts every persona should see.
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## When not to write
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- Do not dump Exact defaults or the full inventory into vector memory.
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- Do not store the user's taste in craft `memories` — use `user_prefs` instead.
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- Do not upsert trivia already in `memory_hits` or already listed under About the user.
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- Do not upsert Danbooru tags — the csv catalog already has them.
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- Do not upsert Civitai example rows — they live in the FTS index from `civitai-examples.jsonl`.
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- `memory_forget` without `scope` only removes the personal overlay.
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