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Use when updating ai-skill-hub handoff as a system document and the merge must stay section-aware instead of becoming a full rewrite.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Adapter entry for bootstrapping agent rules, contracts, validation, task packages, reports, and handoff boundaries for financial data engineering or operations projects. Canonical source is in skills/financial-data-agent-bootstrap.
Use when bootstrapping agent rules, contracts, validation, task packages, reports, and handoff boundaries for financial data engineering or operations projects.
Use when evaluating, scoring, diagnosing, or explicitly refactoring a single skill under controlled governance.
Use when onboarding a new maintainer or AI agent, scanning an unfamiliar repository, or generating a takeover packet.
Use when preparing a handoff task package, bounded execution, or execution report across AI agents.
Use when assessing migration readiness for a financial-data Python project with script sprawl, Excel assets, or Wind/Desktop coupling.
| name | system-handoff |
| description | Use when updating ai-skill-hub handoff as a system document and the merge must stay section-aware instead of becoming a full rewrite. |
| metadata | {"triggers":["update ai-skill-hub system handoff","maintain skill-hub handoff sections","refresh system boundaries in docs HANDOFF md","capture next phase direction for ai capability system","merge system-level handoff updates without full rewrite"],"side_effects":["read_only","write_files"]} |
This execution-focused skill definition keeps the behavior, invocation shape, and adapter-facing contract unchanged while moving explanation-oriented content into supporting assets.
这个 pattern 的核心是：
chatgpt-handoff-pilot 的 bounded execution 与 section-aware mergeInput:
docs/HANDOFF.mdProcess:
readlocate sectionsmerge incrementallyreportOutput:
maturity_score这样组织的原因是，handoff 在 system repo 中的作用是保持长期边界清晰，而不是每轮都重新生成一份说明文档。底层 merge 方法继续来自 canonical skill chatgpt-handoff-pilot，这个 wrapper 只负责 system-oriented 收口。
先复用 canonical handoff flow，再施加 system constraints。
Reuse the canonical handoff flow before adding system constraints.
只做 section-aware merge，不做全文重写。
Use section-aware merge and avoid full rewrites.
章节内容必须服务系统边界与阶段表达。
Keep sections focused on system boundaries and phase expression.
Next Phase Direction 只写方向，不写任务清单。
Keep next-phase content directional, not task-list oriented.
handoff 不得退化为 diff 摘要。
Do not degrade handoff into a diff summary.
读取 system handoff context。
先读取 docs/HANDOFF.md、当前 system status、phase 和相关 system docs，确认本轮更新对象是 ai-skill-hub 自身；若存在 docs/status/skill-hub-status.md，同步记录其 Updated at 作为本次 handoff 的 status baseline。
对齐 canonical handoff method。
复用 chatgpt-handoff-pilot 的 read input -> restate boundaries -> bounded execution -> execution report 方法，不新增第二套 handoff 机制。
定位必需 sections。
优先定位并增量更新 Current Status、Hard Boundaries、Key Design Decisions、Intentional Gaps、Next Phase Direction，必要时补 Update Log。
执行 section-aware merge。
只把新的 system facts 合并到相关 section，保留既有结构和人工内容；不得整体重排或全文重写 docs/HANDOFF.md。
输出简短回执。
回执应说明哪些 system sections 被更新、哪些 hard boundaries 保持不变、哪些 intentional gaps 继续保留，以及当前 next-phase direction。Next Phase Direction 必须保持方向级表达，不得写成任务清单、逐项施工 next steps 或 implementation backlog。handoff 回执可引用 shared assessment output protocol 的 evidence、open_questions、risk_priority 口径，并保留 phase / freshness risk awareness；不要强制使用 maturity_score。
执行 phase consistency check。
若本轮同时刷新了 docs/status/skill-hub-status.md，则 docs/HANDOFF.md 中的 phase 表达必须与最新 status 一致；若不一致，应先修正再落盘。
chatgpt-handoff-pilot 作为 canonical dependency，不得分叉 handoff flowdocs/HANDOFF.md 时必须坚持 section-aware merge，不得全文重写Current Status 必须按 system phase 和 capabilities 表达，而不是施工进度表达Next Phase Direction 只能写方向级演进，不得退化成任务清单、逐项施工 next steps 或实现待办列表docs/status/skill-hub-status.md，本轮 handoff 更新日志应记录 status baseline 日期system-status-update 联动执行，handoff 落盘前必须完成 phase consistency 检查ai-skill-hub 的 handoff 主文档，并保持 system-oriented section 输出时使用。