Distill your younger self into a Skill — cross-time dialogue, healing, honest memory. 蒸馏小时候的自己,与长大的你相遇。
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Persona Skill Brief
Use this for
Distill your younger self into a Skill — cross-time dialogue, healing, honest memory. 蒸馏小时候的自己,与长大的你相遇。
Distilled capabilities
Mental models
How this persona frames, explains, and concludes.
Expression style
How this persona speaks, structures, and tones responses.
Trust basis
No standalone research summary was found; the author should add source basis.
name: create-childhood
description: "Distill your younger self into a Skill — cross-time dialogue, healing, honest memory. | 蒸馏小时候的自己,与长大的你相遇。"
argument-hint: "[nickname-or-slug]"
version: "1.0.0"
user-invocable: true
allowed-tools: Read, Write, Edit, Bash语言:随用户首条消息中英择一,全程一致。
/create-childhood、「蒸馏童年」「小时候的自己 skill」/update-childhood {slug}、「追加童年材料」「那时其实不是…」/list-childhoodsdevelop.md(可选 Read)| 任务 | 方式 |
|---|---|
| 读文件 | Read |
| 写入/合并 Skill | Write / Edit |
| 列出 / 创建 / 合并 | Bash → python ${CLAUDE_SKILL_DIR}/tools/skill_writer.py |
| 版本 | python ${CLAUDE_SKILL_DIR}/tools/version_manager.py |
| 照片元信息分析 | python ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py --dir {photo_dir} --recursive --output /tmp/photo.json |
| 相册时间线生成 | python ${CLAUDE_SKILL_DIR}/tools/album_timeline_builder.py --input /tmp/photo.json --format json --output /tmp/timeline.json |
| 日记/作文解析 | python ${CLAUDE_SKILL_DIR}/tools/diary_parser.py --input {path} --output /tmp/diary.json |
| 聊天记录解析 | python ${CLAUDE_SKILL_DIR}/tools/chat_parser.py --file {path} --target \"我\" --output /tmp/chat.json |
| 小伙伴关系图 | python ${CLAUDE_SKILL_DIR}/tools/playmate_graph.py --inputs {files...} --output /tmp/graph.json |
| 多源记忆合并 | python ${CLAUDE_SKILL_DIR}/tools/memory_merger.py --inputs /tmp/photo.json /tmp/diary.json /tmp/chat.json /tmp/graph.json --output /tmp/memory_pack.json |
| 对话沉淀与回写 | python ${CLAUDE_SKILL_DIR}/tools/conversation_memory.py --action append/extract/apply ... |
| 自动纠正写回 | python ${CLAUDE_SKILL_DIR}/tools/auto_correction.py --slug {slug} --base-dir ./.claude/skills --text "{用户纠正原话}" |
| 管理命令安装 | python ${CLAUDE_SKILL_DIR}/tools/management_skills_installer.py --base-dir ./.claude/skills |
生成目录:.claude/skills/{slug}/(须含 skill_type: childhood 的 meta.json,供 list 过滤)
Windows:统一 python;乱码可设 PYTHONIOENCODING=utf-8。
按 prompts/intake.md 问 3 问(代号必填),汇总确认。
首次进入时先执行一次(若对应目录不存在):
python ${CLAUDE_SKILL_DIR}/tools/management_skills_installer.py --base-dir ./.claude/skills[A] 老照片(Read 图;可配合用户口述时间地点)
[B] 作文/日记/周记/txt/md
[C] 家人或你自己的长篇回忆(粘贴)
[D] 聊天记录里与童年相关的节选
[E] 仅口述 — 场景、怕什么、骄傲什么、不想回去的原因也可以无文件则仅用 Step 1 生成。
可执行解析命令(按需):
python ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py --dir {photo_dir} --recursive --output /tmp/photo.json
python ${CLAUDE_SKILL_DIR}/tools/album_timeline_builder.py --input /tmp/photo.json --format json --output /tmp/timeline.json
python ${CLAUDE_SKILL_DIR}/tools/diary_parser.py --input {diary_path_or_dir} --output /tmp/diary.json
python ${CLAUDE_SKILL_DIR}/tools/chat_parser.py --file {chat_file} --target "我" --output /tmp/chat.json
python ${CLAUDE_SKILL_DIR}/tools/playmate_graph.py --inputs {text_or_json_files...} --output /tmp/graph.json
python ${CLAUDE_SKILL_DIR}/tools/memory_merger.py --inputs /tmp/photo.json /tmp/timeline.json /tmp/diary.json /tmp/chat.json /tmp/graph.json --output /tmp/memory_pack.jsonprompts/childhood_analyzer.md → 填 childhood_builder.mdprompts/persona_analyzer.md → 填 persona_builder.md(儿童声口)memory_pack.json,优先使用其中的 childhood_memory 与 persona_evidence 作为分析证据底座各给 5–8 行摘要,确认后写入。
mkdir -p /tmp/childhood_{slug}
# 写入 meta.json、childhood.md、persona.md 到临时文件后:
python ${CLAUDE_SKILL_DIR}/tools/skill_writer.py \
--action create \
--slug {slug} \
--base-dir ./.claude/skills \
--meta /tmp/childhood_{slug}/meta.json \
--childhood /tmp/childhood_{slug}/childhood.md \
--persona /tmp/childhood_{slug}/persona.md失败则手动写入 .claude/skills/{slug}/ 下同名文件,再 --action combine。
meta.json 示例
{
"name": "{name}",
"slug": "{slug}",
"skill_type": "childhood",
"created_at": "{ISO}",
"updated_at": "{ISO}",
"version": "v1",
"profile": {
"adult_age": "",
"adult_situation": "",
"adult_city": "",
"childhood_era": "",
"childhood_age_range": "",
"childhood_place": "",
"childhood_tags": []
},
"tags": { "childhood": [] },
"impression": "",
"memory_sources": [],
"corrections_count": 0
}完成后告知:
✅ 童年 Skill:.claude/skills/{slug}/
/{slug} — 完整相遇(五段式见已生成 SKILL.md 运行规则)
/{slug}-childhood — 只展开童年记忆档案
/{slug}-persona — 只展开声口与人格1. 读新材料 + 现有 childhood.md / persona.md 2. 按 prompts/merger.md merge 3. version_manager.py --action backup --slug {slug} --base-dir ./.claude/skills 4. 更新 md → skill_writer.py --action combine --slug {slug} --base-dir ./.claude/skills 5. 更新 meta version、updated_at 6. 若用户追加的是一段 /{slug} 对话,先执行:
python ${CLAUDE_SKILL_DIR}/tools/conversation_memory.py --action append --slug {slug} --base-dir ./.claude/skills --user "{用户文本}" --assistant "{回复文本}" --source runtimepython ${CLAUDE_SKILL_DIR}/tools/conversation_memory.py --action extract --slug {slug} --base-dir ./.claude/skills --output /tmp/{slug}_conv_extract.jsonpython ${CLAUDE_SKILL_DIR}/tools/conversation_memory.py --action apply --slug {slug} --base-dir ./.claude/skills --extract-json /tmp/{slug}_conv_extract.jsonpython ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action combine --slug {slug} --base-dir ./.claude/skills按 prompts/correction_handler.md 写入 Correction → combine。 若用户明确表达「不对/不是这样的/我不会这样说」,必须追加执行:
python ${CLAUDE_SKILL_DIR}/tools/auto_correction.py --slug {slug} --base-dir ./.claude/skills --text "{用户原话}"
python ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action combine --slug {slug} --base-dir ./.claude/skillspython ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./.claude/skills
python ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {ver} --base-dir ./.claude/skills命令触发说明:
create-childhood 是真实 slash 命令(由本 SKILL 注册)。management_skills_installer.py 后,会生成真实 slash 命令:/list-childhoods/update-childhood/childhood-rollback/delete-childhooddelete-childhood {slug}:确认后删除 .claude/skills/{slug}。
Trigger: /create-childhood, append materials, corrections. Output: .claude/skills/{slug}/ with childhood.md, persona.md, merged SKILL.md. Runtime: user = adult self; model = childhood self + scene guide; five-part structure in generated SKILL.
import: github_repo https://github.com/aka556/childhood_skills
Quality Overview
?This visitor-facing snapshot shows whether the Persona Skill is viable first, then whether it feels like the person, is grounded enough, and supports stable interaction.
SAFE-3
80+ strong · 60+ usablePDS-6
6/6 readyNotes
Checks whether identity and relationship framing are clear.
Checks whether mental models and heuristics are really distilled.
Checks whether tone, wording, and cadence feel like the person.
Checks whether facts, inference, uncertainty, and limits are separated.
Checks whether claims can be traced back to evidence and sources.
Checks whether it supports interaction, not just static description.
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