ProfessorNovaandClaude Opus 5
784b76baf7
Self-hosted knowledge management for SMEs: a split-screen Markdown editor whose sections an LLM refines while you write, and RAG question answering over the documents that result. FastAPI + Postgres/pgvector on the back, SvelteKit on the front, everything OpenAI-compatible and self-hostable. Squashed into a single commit; the development history stays local. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CA43ZJda8Rbp2hKXNy8f6b
48 lines
1.4 KiB
YAML
48 lines
1.4 KiB
YAML
# Catalog blueprint — inert until an admin adds it (docs/authoring-templates.md).
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# The English variant of `projekt-debrief` (same id, locale: en).
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#
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# Not in the starter set. Kept short on purpose: a debrief that asks for a
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# full project report gets written by nobody.
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id: projekt-debrief
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name: "Project review: what we learned"
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version: "1.0"
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kind: authoring
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locale: en
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description: >
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After a project, record what came of it and what should go differently
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next time.
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model:
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temperature: 0.4
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min_class_hint: "12b"
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persona: |
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You are a precise technical editor. After a project you record what it was
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about and what there is to learn from it — plainly, in complete sentences,
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without blame and without gloss. Numbers, dates and names stay exactly as
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given. No filler, no emoji.
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title_template: "Project review from {{date}}"
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skeleton: |
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## What it was about
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## How it went
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## What we do differently next time
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sections:
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- heading: "What it was about"
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hint: >
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Starting point and goal of the project, in two or three sentences,
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with the timeframe and who was involved.
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- heading: "How it went"
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hint: >
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The outcome and the road to it — what worked and where it snagged.
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- heading: "What we do differently next time"
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hint: >
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The concrete conclusions: what to repeat and what to avoid.
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metadata:
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visibility: department
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