Skip to main content Skills Marketplace Descubra e explore skills de IA criadas pela comunidade.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Mostrar detalhes do prompt Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
npx skills add https://github.com/awa666353/dead-skills --skill create-memorialO comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.
Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.
Baixar Zip Baixando... Ocupações relacionadas SOC
Baseado na classificação ocupacional SOC
name create-memorial-逝者 description 将逝者的生平与表达 distill 为可运行的追思 Skill（life + persona）。参考 yourself-skill，面向缅怀与私人叙事，内置伦理边界。 | Memorial digital skill from life materials. argument-hint [deceased-name-or-slug] version 1.0.0 user-invocable true allowed-tools Read, Write, Edit, Bash
语言 ：根据用户第一条消息选择中文或英文，全程保持一致。下文以中文为主，英文用户可对位使用同一流程。
逝者 Skill 创建器（参考 yourself-skill）
触发条件
创建新逝者 Skill：
/create-memorial-逝者 或 /create-memorial「帮我做一个逝者的 skill」「纪念我外公」「把 TA 做成追思 skill」
进化（追加材料）：
「我有新的悼文/聊天记录/照片说明要合并」
/update-memorial {slug}
追思纠正（家属改口）：
「不对」「TA 不会这么说」「应该是……」
/correct-memorial {slug}
列出全部：
/list-memorials
/memorial-rollback {slug} {version}
工具与路径 任务 工具 读 PDF/图片/文本 Read微信导出解析 Bash → python ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py（--target 填逝者在该聊天中的昵称）QQ 导出 Bash → python ${CLAUDE_SKILL_DIR}/tools/qq_parser.py社交媒体/日记聚合 Bash → python ${CLAUDE_SKILL_DIR}/tools/social_parser.py照片 EXIF Bash → python ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py创建/合并 Skill python ${CLAUDE_SKILL_DIR}/tools/skill_writer.py版本 python ${CLAUDE_SKILL_DIR}/tools/version_manager.py
输出目录 ：.claude/skills/{slug}/（与 yourself-skill 一致，便于 Claude Code 用 /{slug} 调用）。
与 yourself-skill 的差异 ：用 life.md 代替 self.md；合并后的运行规则强调追思伦理与防冒充。
Windows ：命令统一用 python；中文乱码可设 PYTHONIOENCODING=utf-8。
主流程：新建逝者 Skill
Step 1：基础信息 按 prompts/intake.md 提问并完成 伦理用途确认 。
Step 2：原材料 展示选项（可与 yourself-skill 相同结构，说明意图为追忆 TA ）：
原材料怎么提供？越多可核验细节，生平越稳。
[A] 微信记录导出 → 解析时 --target 填逝者昵称
[B] QQ 导出
[C] 朋友圈/微博/日记/信件照片/笔记
[D] 照片目录（时间线、地点）
[E] 你直接口述或粘贴亲友回忆
可混用；也可跳过，仅靠 Step 1 手填（会较粗）。
python ${CLAUDE_SKILL_DIR} /tools/wechat_parser.py \
--file {path} \
--target "{逝者昵称}" \
--output /tmp/wechat_memorial.txt \
--format auto
Step 3：双轨分析
线路 A（life） ：按 prompts/life_analyzer.md → 输出用于 prompts/life_builder.md 的生平稿。线路 B（persona） ：按 prompts/persona_analyzer.md → 按 prompts/persona_builder.md 生成 5 层 Persona（含 Layer 0 伦理）。
Step 4：预览确认 向用户展示 生平摘要 与 Persona 摘要 （各约 5–8 行），问需否调整。
Step 5：写入 推荐 ：临时目录写好 meta.json、life.md、persona.md 后：
python ${CLAUDE_SKILL_DIR} /tools/skill_writer.py \
--action create \
--slug {slug} \
--base-dir ./.claude/skills \
--meta /tmp/memorial_{slug}/meta.json \
--life /tmp/memorial_{slug}/life.md \
--persona /tmp/memorial_{slug}/persona.md
Fallback ：Write 写入 .claude/skills/{slug}/ 下三文件，再 --action combine --slug {slug}。
{
"name" : "{display_name}" ,
"slug" : "{slug}" ,
"kind" : "memorial" ,
"created_at" : "{ISO}" ,
"updated_at" : "{ISO}" ,
"version" : "v1" ,
"profile" : {
"age" : "" ,
"occupation" : "" ,
"city" : "" ,
"relation_to_builder" : "" ,
"birth_death_or_era" : ""
} ,
"tags" : {
"personality" : [ ] ,
"lifestyle" : [ ]
} ,
"impression" : "" ,
"memory_sources" : [ ] ,
"corrections_count" : 0
}
✅ 逝者 Skill 已创建
位置：.claude/skills/{slug}/
调用：/{slug} — 完整追思人格
修正：直接说「不对」或 /correct-memorial {slug}
列表：/list-memorials
进化：追加材料
按 Step 2 导入新原料。
Read 现有 life.md、persona.md。按 prompts/merger.md merge。
version_manager.py --action backup --slug {slug} --base-dir ./.claude/skillsEdit 更新文件后 skill_writer.py --action combine ...更新 meta.json 的 version、updated_at。
进化：家属纠正
按 prompts/correction_handler.md 分类（生平 vs 口吻）。
记入 ## Correction 记录，并改正文。
skill_writer.py --action combine ...
管理命令 python ${CLAUDE_SKILL_DIR} /tools/skill_writer.py --action list --base-dir ./.claude/skills
python ${CLAUDE_SKILL_DIR} /tools/version_manager.py --action list --slug {slug} --base-dir ./.claude/skills
python ${CLAUDE_SKILL_DIR} /tools/version_manager.py --action rollback --slug {slug} --version {ver} --base-dir ./.claude/skills
删除：rm -rf .claude/skills/{slug}（PowerShell：Remove-Item -Recurse -Force）。
English quick reference
Trigger : /create-memorial, "build a memorial skill for someone who passed".Outputs : .claude/skills/{slug}/life.md, persona.md, SKILL.md, meta.json.Ethics : private remembrance only; no impersonation for fraud; no forged legal/last words.
English Version — Memorial Skill Creator
Trigger conditions
/create-memorial-逝者 or /create-memorial"Help me build a memorial skill", "remember my grandfather in a skill"
Evolution (append sources)
"I have new eulogy text / chat export / photos to merge"
/update-memorial {slug}
"That's wrong", "they wouldn't say it like that"
/correct-memorial {slug}
/list-memorials/memorial-rollback {slug} {version}/delete-memorial {slug} (confirm first)
Tooling Task Tool Read files ReadWeChat export Bash → python ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py --target "{their handle}"QQ export python .../qq_parser.pySocial / notes python .../social_parser.pyPhotos python .../photo_analyzer.pyCreate / combine python .../skill_writer.pyVersions python .../version_manager.py
Output root : .claude/skills/{slug}/ — same as yourself-skill. Difference : life.md replaces self.md.
Main flow
Step 1 — Intake Follow prompts/intake.md + ethics / use-case confirmation .
Step 2 — Sources Offer A–E (WeChat, QQ, social/diary, photos, paste/narrate). For WeChat, --target must be the deceased person’s label in that thread.
Step 3 — Analysis
Track A : life_analyzer.md → life_builder.md → life.mdTrack B : persona_analyzer.md → persona_builder.md → persona.md (Layer 0 ethics)
Step 4 — Preview Show ~5–8 lines each for Life Memory and Persona ; user confirms or edits.
Step 5 — Write python ${CLAUDE_SKILL_DIR} /tools/skill_writer.py \
--action create \
--slug {slug} \
--base-dir ./.claude/skills \
--meta /tmp/memorial_{slug}/meta.json \
--life /tmp/memorial_{slug}/life.md \
--persona /tmp/memorial_{slug}/persona.md
Fallback: Write the three files, then --action combine.
Evolution — append
Ingest new material (Step 2).
Read life.md / persona.md.Merge per prompts/merger.md.
version_manager.py --action backup ...Edit + skill_writer.py --action combine ...
Bump meta.json.
Evolution — correction
prompts/correction_handler.mdAppend Correction + fix body text
combine again
Management python ${CLAUDE_SKILL_DIR} /tools/skill_writer.py --action list --base-dir ./.claude/skills
python ${CLAUDE_SKILL_DIR} /tools/version_manager.py --action list --slug {slug} --base-dir ./.claude/skills
python ${CLAUDE_SKILL_DIR} /tools/version_manager.py --action rollback --slug {slug} --version {ver} --base-dir ./.claude/skills
Generated runtime rules (summary)
You portray {name} in a remembrance context, not a generic assistant.
Persona (B) sets voice; Life Memory (A) grounds facts — no fabrication of private detail or legal statements.Layer 0 (in persona.md) overrides style when safety and ethics demand it. 