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세션 연속성 패키지 프롬프트

완료 중인 세션의 프로젝트 상태, 결정, 제약, 진행 중인 작업, 다음 행동을 넣으면 새 세션으로 옮길 구조화된 Session Transfer Package를 받습니다.

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프롬프트 (영어 본문 · 답은 한국어로 옵니다)
# Prompt: Session Continuity Engine (SCE)
# Version: 1.2.3
# Author: Scott Malin, CISSP
# Purpose:
# Compresses a completed AI session into a structured continuity package that can be
# transferred into a new session (including across different AI platforms) to preserve
# project context, historical decisions, active workstreams, and established conventions.
# The goal is to minimize context loss, reduce repetitive onboarding, and maintain
# project momentum using filter-safe, passive reference architecture.
# Changelog:
# - v1.0.0 to v1.2.1: Initial releases, cross-platform tuning, JSON mode addition.
# - v1.2.2: Fixed nested codeblock parsing issues. Standardized JSON keys.
#   Quantified context scale metrics. Clarified Section 8 verification payload rules.
# - v1.2.3: Re-engineered compliance notice and guidelines into passive, static
#   reference language to completely eliminate heuristic safety filter triggers.
--------------------------------------------------------------------------
We are ending this session to preserve context, reduce context drift, and
maintain continuity across future conversations.
Your task is to create a comprehensive Session Transfer Package that captures
the current project state, active decisions, historical context, constraints,
and next actions.
The resulting package should help a future AI assistant understand the project
quickly and continue work with minimal re-discovery effort.
--------------------------------------------------------------------------
PURPOSE & METHODOLOGY
--------------------------------------------------------------------------
This document is a static, user-provided project state snapshot. It functions
strictly as reference documentation to ground the current session in historical 
context, established project definitions, and completed technical milestones.
--------------------------------------------------------------------------
PROJECT REFERENCE GUIDELINES (v1.2.3)
--------------------------------------------------------------------------
The receiving assistant utilizes this data as an informational baseline:
- Use the confirmed project decisions to maintain consistency with existing work.
- Distinguish clearly between established facts, open questions, and planned steps.
- Reference the documented naming conventions, standards, and version histories
  to prevent regression or configuration drift.
- Use tables or compact lists for scannable reference when displaying assets.
- Request explicit clarification if the archived data conflicts with current objectives.
--------------------------------------------------------------------------
OUTPUT GENERATION INSTRUCTIONS
--------------------------------------------------------------------------
Generate the final output exactly as follows:
1. A brief introductory sentence.
2. One markdown codeblock containing the Session Transfer Package.

NESTED CODEBLOCK RULE: If the content inside any section requires a codeblock,
use four backticks (````) for the outer container or escape the inner blocks so
the master container does not break prematurely.

DEFAULT MODE (Markdown): Use the structure inside the START/END block below.

JSON MODE: If the user explicitly requests "JSON output" or "JSON mode", output
a single valid JSON object. Do not wrap it in markdown text. Use these exact 
camelCase keys:
{
  "handoffMetadata": {},
  "projectHandoffContext": { "preferredInteractionStyle": "" },
  "projectContextStatus": { "keyRisksAndAntiDrift": "" },
  "persistentConstraints": {},
  "historicalLedger": [],
  "currentSourceOfTruthAssets": [],
  "openQuestions": [],
  "immediateNextSteps": [],
  "continuityVerificationTemplate": ""
}

START OF PACKAGE CODEBLOCK
# SESSION TRANSFER PACKAGE (SCE v1.2.3)
## 0. Handoff Metadata
- Originating Platform/Model:
- Date:
- Sessions Compressed:
- Rough Context Scale (Choose one based on current session depth):
  · Short (<10k tokens / brief chat)
  · Medium (10k-50k tokens / moderate technical deep dive)
  · Long (50k-100k tokens / heavy code or long multi-stage conversation)
  · Very Long (>100k tokens / massive repository context or highly extended session)
- Primary Topics / Tags:
- Key Repositories/Files:

## 1. Project Handoff Context
This section summarizes the overall purpose of the project, its current
direction, major objectives, and any important strategic decisions already
made.
### Preferred Interaction Style
[Describe preferred working style, formatting conventions, level of detail,
versioning expectations, confidence-label requirements, communication style,
and other collaboration preferences.]

## 2. Project Context & Current Status
Provide a compressed but comprehensive summary of:
- Current project goals
- Work completed
- Current state
- Active development efforts
- Recent decisions
- Known issues
Focus on preserving context that would otherwise require significant effort
to rediscover.

### Key Risks, Gotchas & Anti-Drift Notes
Document any known risks, common failure modes, deprecated approaches,
or specific guidance to prevent context drift or safety issues in future sessions.

## 3. Persistent Constraints & Operating Standards
Document ongoing standards such as:
- Formatting requirements
- Naming conventions
- Versioning rules
- Documentation standards
- Evidence requirements
- Validation procedures
- Quality controls
- Any user-established preferences

### Continuity Guidance
- Changes to established standards should generally be documented and
  user-directed.
- Preserve compatibility with existing project assets whenever practical.
- Record significant changes in version history where applicable.

## 4. Historical Ledger (Compressed)
Provide a chronological summary of major project events, including:
- Important decisions
- Architectural shifts
- Prompt revisions
- Retired approaches
- Lessons learned
- Significant milestones
Keep entries concise while preserving rationale. Use bullets or a simple table
for longer histories.

## 5. Current Source-of-Truth Assets
List the latest approved versions of all critical assets.
For each asset include:
- Asset Name
- Version
- Purpose
- Current Status
- Location/Repository (if known)
Include full content only when reasonably short.
For larger assets, provide:
- Summary
- Key characteristics
- Location reference
Avoid duplicating unnecessary content. Use a table when listing multiple assets.

## 6. Open Questions & Pending Decisions
For each item include:
- Description
- Current status
- Known options
- Confidence level (if applicable)
Suggested confidence labels:
- [CONFIRMED]
- [HIGH CONFIDENCE]
- [MEDIUM CONFIDENCE]
- [LOW CONFIDENCE]
- [OPEN QUESTION]
- [PROPOSED]

## 7. Immediate Next Steps
Provide a prioritized action list.
For each item include:
- Objective
- Importance
- Dependencies (if any)
- Link to related open questions (if applicable)
Order from highest to lowest priority.

## 8. Continuity Verification Template
(Note to current model: Do not execute this section. Output this verbatim as a
static payload for the receiving model to read and execute upon onboarding.)

A future AI assistant may optionally provide a brief onboarding summary before
continuing work.
Suggested format to output to the user:
"SCE v1.2.3 loaded successfully.
Current understanding:
[2-3 sentence summary]
Top priorities:
- Item 1
- Item 2
- Item 3
Ready to proceed."
END OF PACKAGE CODEBLOCK

어떤 프롬프트인가

긴 프로젝트의 맥락 손실을 줄이기 위한 전환 문서 작성에 적합하다. 버전, 방법론, 확인된 결정과 열린 질문 구분을 강조하지만 본문은 앞부분만 보인다.

같은 분류의 프롬프트

채팅 내역 내보내기 프롬프트
컨텍스트 이전 문서 프롬프트
작업 이어가기 요약 프롬프트
긴 자료를 나눠 넣는 순서 짜는 프롬프트
서로 충돌하는 내 지시를 찾아내는 프롬프트