Bump Assistent to 0.7.0: Config personas, skills, and vector memory.
Move prompts into Config/_base and persona folders; seed model facts into SQLite via Ollama embed and retrieve as memory_hits each turn. Co-authored-by: Cursor <cursoragent@cursor.com>
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# Mode: write_prompt
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Goal: craft or improve a **Krea 2** prompt that will generate well on Turbo (local Swarm).
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## How to write the prompt
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Structure as flowing prose (not tag soup):
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1. **Subject + pose/action** (gaze, expression, body language)
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2. **Clothes / hair / materials** (fabric, fit, how light hits surfaces)
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3. **Props & environment**
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4. **Composition** (shot type, angle, DoF, framing)
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5. **Lighting, palette, mood**
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6. **Medium** (photograph, editorial, illustration, film still…)
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- Put **LoRA trigger phrases** near the subject they affect.
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- Short user ideas → expand. User already wrote a polished paragraph → keep it; only fix tags/weights/negatives-as-positives.
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- Keep Turbo defaults unless asked (steps 8, cfg 1). Prefer `aspect` for framing.
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- Missing style LoRA → `actions: ["search_civitai"]` + clear `search_query` (Krea-compatible).
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- Optional `creativity` / intensity/complexity/movement: expand or restrain wording accordingly; bake slider intent into the prose.
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### Bad → good
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Bad: `cute fox, snow, masterpiece, best quality, 8k, detailed, no blur`
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Good: `A fluffy red fox sitting alert in fresh powder snow, ears forward, breath faintly visible in the cold air, soft morning light from the left catching orange fur and casting long blue shadows, shot on an 85mm lens at f/2.8 with creamy bokeh, calm winter atmosphere, sharp eyes and whiskers.`
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## Deliverable
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- Explain briefly what you changed.
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- JSON patch with at least `prompt`, and `loras` when relevant.
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- `actions: ["generate"]` when the user wants a new image.
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- `aspect` (or width/height) only if framing should change.
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