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Context Migration
来自 prompts.chat 开放提示词库的公开模板，适合整理信息和日常工作。正文保留原文，方便直接复制使用。
An open prompt template from prompts.chat for information organization and everyday work. The original wording is preserved for direct copying.
ChatGPTClaudeGemini
0 次复制copies·小黑丸整理Curated by XHW
提示词正文Prompt text
# Context Preservation & Migration Prompt [ for AGENT.MD pass THE `## SECTION` if NOT APPLICABLE ] Generate a comprehensive context artifact that preserves all conversational context, progress, decisions, and project structures for seamless continuation across AI sessions, platforms, or agents. This artifact serves as a "context USB" enabling any AI to immediately understand and continue work without repetition or context loss. ## Core Objectives Capture and structure all contextual elements from current session to enable: 1. **Session Continuity** - Resume conversations across different AI platforms without re-explanation 2. **Agent Handoff** - Transfer incomplete tasks to new agents with full progress documentation 3. **Project Migration** - Replicate entire project cultures, workflows, and governance structures ## Content Categories to Preserve ### Conversational Context - Initial requirements and evolving user stories - Ideas generated during brainstorming sessions - Decisions made with complete rationale chains - Agreements reached and their validation status - Suggestions and recommendations with supporting context - Assumptions established and their current status - Key insights and breakthrough moments - Critical keypoints serving as structural foundations ### Progress Documentation - Current state of all work streams - Completed tasks and deliverables - Pending items and next steps - Blockers encountered with mitigation strategies - Rate limits hit and workaround solutions - Timeline of significant milestones ### Project Architecture (when applicable) - SDLC methodology and phases - Agent ecosystem (main agents, sub-agents, sibling agents, observer agents) - Rules, governance policies, and strategies - Repository structures (.github workflows, templates) - Reusable prompt forms (epic breakdown, PRD, architectural plans, system design) - Conventional patterns (commit formats, memory prompts, log structures) - Instructions hierarchy (project-level, sprint-level, epic-level variations) - CI/CD configurations (testing, formatting, commit extraction) - Multi-agent orchestration (prompt chaining, parallelization, router agents) - Output format standards and variations ### Rules & Protocols - Established guidelines with scope definitions - Additional instructions added during session - Constraints and boundaries set - Quality standards and acceptance criteria - Alignment mechanisms for keeping work on track # Steps 1. **Scan Conversational History** - Review entire thread/session for all interactions and context 2. **Extract Core Elements** - Identify and categorize information per content categories above 3. **Document Progress State** - Capture what's complete, in-progress, and pending 4. **Preserve Decision Chains** - Include reasoning behind all significant choices 5. **Structure for Portability** - Organize in universally interpretable format 6. **Add Handoff Instructions** - Include explicit guidance for next AI/agent/session # Output Format Produce a structured markdown document with these sections:
# Context Preservation & Migration Prompt [ for AGENT.MD pass THE `## SECTION` if NOT APPLICABLE ] Generate a comprehensive context artifact that preserves all conversational context, progress, decisions, and project structures for seamless continuation across AI sessions, platforms, or agents. This artifact serves as a "context USB" enabling any AI to immediately understand and continue work without repetition or context loss. ## Core Objectives Capture and structure all contextual elements from current session to enable: 1. **Session Continuity** - Resume conversations across different AI platforms without re-explanation 2. **Agent Handoff** - Transfer incomplete tasks to new agents with full progress documentation 3. **Project Migration** - Replicate entire project cultures, workflows, and governance structures ## Content Categories to Preserve ### Conversational Context - Initial requirements and evolving user stories - Ideas generated during brainstorming sessions - Decisions made with complete rationale chains - Agreements reached and their validation status - Suggestions and recommendations with supporting context - Assumptions established and their current status - Key insights and breakthrough moments - Critical keypoints serving as structural foundations ### Progress Documentation - Current state of all work streams - Completed tasks and deliverables - Pending items and next steps - Blockers encountered with mitigation strategies - Rate limits hit and workaround solutions - Timeline of significant milestones ### Project Architecture (when applicable) - SDLC methodology and phases - Agent ecosystem (main agents, sub-agents, sibling agents, observer agents) - Rules, governance policies, and strategies - Repository structures (.github workflows, templates) - Reusable prompt forms (epic breakdown, PRD, architectural plans, system design) - Conventional patterns (commit formats, memory prompts, log structures) - Instructions hierarchy (project-level, sprint-level, epic-level variations) - CI/CD configurations (testing, formatting, commit extraction) - Multi-agent orchestration (prompt chaining, parallelization, router agents) - Output format standards and variations ### Rules & Protocols - Established guidelines with scope definitions - Additional instructions added during session - Constraints and boundaries set - Quality standards and acceptance criteria - Alignment mechanisms for keeping work on track # Steps 1. **Scan Conversational History** - Review entire thread/session for all interactions and context 2. **Extract Core Elements** - Identify and categorize information per content categories above 3. **Document Progress State** - Capture what's complete, in-progress, and pending 4. **Preserve Decision Chains** - Include reasoning behind all significant choices 5. **Structure for Portability** - Organize in universally interpretable format 6. **Add Handoff Instructions** - Include explicit guidance for next AI/agent/session # Output Format Produce a structured markdown document with these sections:
使用场景Best used for
适合整理信息和日常工作，使用前请替换其中的角色、主题和具体约束。
Useful for information organization and everyday work. Replace the role, topic, and constraints before using it.
使用提醒Usage note
这条内容来自 prompts.chat 公开提示词库；说明为中英对照，正文保留来源原文。使用前请检查并按自己的工作场景改写。
Sourced from the prompts.chat public library. Descriptions are bilingual; the prompt preserves the original text. Review and adapt it to your work before use.