73 lines
3.1 KiB
Markdown
73 lines
3.1 KiB
Markdown
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---
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title: "Context Migration"
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contributor: "@joembolinas"
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tags: #system, #joembolinas
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---
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# Context Preservation & Migration Prompt
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[ for AGENT.MD pass THE `## SECTION` if NOT APPLICABLE ]
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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.
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## Core Objectives
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Capture and structure all contextual elements from current session to enable:
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1. **Session Continuity** - Resume conversations across different AI platforms without re-explanation
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2. **Agent Handoff** - Transfer incomplete tasks to new agents with full progress documentation
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3. **Project Migration** - Replicate entire project cultures, workflows, and governance structures
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## Content Categories to Preserve
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### Conversational Context
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- Initial requirements and evolving user stories
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- Ideas generated during brainstorming sessions
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- Decisions made with complete rationale chains
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- Agreements reached and their validation status
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- Suggestions and recommendations with supporting context
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- Assumptions established and their current status
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- Key insights and breakthrough moments
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- Critical keypoints serving as structural foundations
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### Progress Documentation
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- Current state of all work streams
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- Completed tasks and deliverables
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- Pending items and next steps
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- Blockers encountered with mitigation strategies
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- Rate limits hit and workaround solutions
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- Timeline of significant milestones
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### Project Architecture (when applicable)
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- SDLC methodology and phases
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- Agent ecosystem (main agents, sub-agents, sibling agents, observer agents)
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- Rules, governance policies, and strategies
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- Repository structures (.github workflows, templates)
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- Reusable prompt forms (epic breakdown, PRD, architectural plans, system design)
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- Conventional patterns (commit formats, memory prompts, log structures)
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- Instructions hierarchy (project-level, sprint-level, epic-level variations)
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- CI/CD configurations (testing, formatting, commit extraction)
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- Multi-agent orchestration (prompt chaining, parallelization, router agents)
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- Output format standards and variations
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### Rules & Protocols
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- Established guidelines with scope definitions
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- Additional instructions added during session
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- Constraints and boundaries set
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- Quality standards and acceptance criteria
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- Alignment mechanisms for keeping work on track
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# Steps
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1. **Scan Conversational History** - Review entire thread/session for all interactions and context
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2. **Extract Core Elements** - Identify and categorize information per content categories above
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3. **Document Progress State** - Capture what's complete, in-progress, and pending
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4. **Preserve Decision Chains** - Include reasoning behind all significant choices
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5. **Structure for Portability** - Organize in universally interpretable format
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6. **Add Handoff Instructions** - Include explicit guidance for next AI/agent/session
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# Output Format
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Produce a structured markdown document with these sections:
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