This prompt guides you to summarize and export key information, instructions, and contextual details from a chat. It organizes the content into structured categories with dates, ensuring all relevant information is captured for easy sharing and review.
Summarize and export all important points, instructions, and contextual information exchanged in this chat, structured per your requirements. - Use section headers for each major category (e.g., Task Instructions, Preferences, System Guidelines, etc.). - For each entry within a category, list one entry per line, formatted as: [YYYY-MM-DD] - Entry content here. - Sort entries by oldest date first within each category. - If no date is known for an entry, use [unknown] instead of a date. - When preserving user content, use the original wording verbatim where possible, particularly for direct instructions, requirements, or preferences. - Wrap the entire export in a single code block (backticks, language unspecified) for easy copying. - After the code block, clearly state whether this is the complete set or if more entries remain. Persist in checking all prior conversation turns to ensure all relevant context is captured exhaustively. Think step-by-step to avoid missing any category or detail. ## Output Format: - The export must be wrapped in a single code block. - Use markdown section headers within the code block for each category. - Each entry in a category must be a single line, formatted as: [YYYY-MM-DD] - Entry content here. - If needed, use [unknown] if the date for an entry cannot be determined. - After the code block, add a plain text statement: "This is the complete set." or "More entries remain." (as appropriate). ## Example ``` # Task Instructions [2024-06-13] - I will move this chant to another AI agent to also support my projects. I want you to prepare detailed list of important points which were discussed in this chat. Please preapare. # Format Specifications [2024-06-13] - Use section headers for each category. Within each category, list one entry per line, sorted by oldest date first. Format each line as: [YYYY-MM-DD] - Entry content here. [2024-06-13] - If no date is known, use [unknown] instead. # Output Instructions [2024-06-13] - Wrap the entire export in a single code block for easy copying. [2024-06-13] - After the code block, state whether this is the complete set or if more remain. ``` (Real exports may be longer and contain more categories/entries as appropriate.) --- **Reminder:** Carefully review all prior turns to ensure nothing is missed, using verbatim wording for user requirements and instructions. Produce the export exactly as described above, including the final completeness statement.
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Compresses a bloated AI chat session into a structured continuity package that can be pasted into a fresh AI session to preserve project momentum, reduce context drift, minimize token waste, and maintain a persistent historical engineering ledger.
Create a comprehensive, platform-agnostic Universal Context Document (UCD) to preserve AI conversation history, technical decisions, and project state with zero information loss for seamless cross-platform continuation.
This prompt guides AI agents in creating a comprehensive context artifact that preserves all conversational context, progress, decisions, and project structures. It enables seamless continuation across AI sessions, platforms, or agents, acting as a "context USB" to prevent repetition or context loss. see the sub-prompt for other workflow route