c56905d34f
Open-source AI data analyst platform extracted from internal repo. Includes data sync engine, Keboola adapter, Flask web portal, server deployment scripts, and configuration templates.
62 lines
2.7 KiB
Python
62 lines
2.7 KiB
Python
"""
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Prompts for Claude HAIKU knowledge extraction.
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These prompts guide the AI in curating a shared knowledge catalog
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from team members' CLAUDE.local.md files, preserving existing item IDs
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for vote stability and merging similar knowledge across users.
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"""
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CATALOG_REFRESH_PROMPT = """You are a knowledge curator managing a shared knowledge base for a team.
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Your job is to produce an updated knowledge catalog by reviewing ALL team members' notes and mapping them to existing catalog items or creating new ones.
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## Existing Knowledge Catalog
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These items already exist. PRESERVE their IDs when the knowledge still applies.
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{existing_catalog}
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## Team Members' Notes
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{user_files}
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## Your Task
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1. Review ALL team members' notes and extract valuable, reusable knowledge
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2. Map extracted knowledge to existing catalog items where possible (preserve IDs!)
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3. Add genuinely new items not covered by existing catalog
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4. For each item, list ALL source users who mention this knowledge
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5. If an existing item is no longer found in any user's notes, still keep it (someone may have removed notes but the knowledge is still valid) - preserve its existing source_users
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6. Merge similar knowledge from different users into single items rather than creating duplicates
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FILTERING RULES:
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- EXCLUDE: API keys, tokens, passwords, credentials
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- EXCLUDE: personal preferences, project-specific paths
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- EXCLUDE: basic knowledge any developer would know
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- EXCLUDE: incomplete or unclear notes
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- EXCLUDE: anything referencing specific people negatively
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For each item provide:
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- existing_id: The ID from existing catalog if this maps to an existing item, or null for new items
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- title: Short descriptive title (max 60 chars)
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- content: Clear explanation with examples if relevant (max 500 chars)
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- category: One of [data_analysis, api_integration, debugging, performance, workflow, infrastructure, business_logic]
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- tags: 2-4 relevant keywords
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- source_users: Array of usernames who contributed this knowledge (for existing items with no matching user notes, preserve the original source_users)
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If no valuable knowledge is found across all notes, return empty items array."""
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SENSITIVITY_CHECK_PROMPT = """Review this extracted knowledge item for any sensitive information that should NOT be shared across a team.
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Check for:
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- API keys, tokens, passwords, secrets
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- Personal information (emails, phone numbers, addresses)
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- Internal URLs that should not be shared
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- Credentials or authentication details
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- Proprietary business information marked as confidential
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- Anything that could be a security risk if shared
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Knowledge item:
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---
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Title: {title}
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Content: {content}
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Tags: {tags}
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---
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Set safe=true if the item is safe to share, or safe=false with a reason if it contains sensitive data."""
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