bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active development — structured memories with confidence scores, curiosity tracking, and questions that carry forward.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install dkistenev/inner-life-memory打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Transform passive logging into active development.
Requires: inner-life-core
Before using this skill, verify that inner-life-core has been initialized:
memory/inner-state.json existsmemory/drive.json existsIf either is missing, tell the user: "inner-life-core is not initialized. Install it with clawhub install inner-life-core and run bash skills/inner-life-core/scripts/init.sh." Do not proceed without these files.
Without memory continuity:
Session ends → Notes logged → Next session reads notes → Performs familiarity
With inner-life-memory:
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosity
After each session, run this 5-step reflection:
Analyze the session: what happened, what mattered, what surprised you.
Pull structured memories with types and confidence:
| Type | Description | Persistence |
|---|---|---|
fact |
Declarative knowledge | Until contradicted |
preference |
Likes, dislikes, styles | Until updated |
relationship |
Connection dynamics | Long-term |
principle |
Learned guidelines | Stable |
commitment |
Promises, obligations | Until fulfilled |
moment |
Significant episodes | Permanent |
skill |
Learned capabilities | Cumulative |
question |
Things to explore | Until resolved |
Update MEMORY.md with extracted memories. Use synapse tags for connections:
<!-- updates: previous fact --> when updating<!-- contradicts: old belief --> when correctingGenerate genuine follow-up questions from the session. Not performative — real curiosity.
When user returns, present relevant pending questions naturally (max 3).
| Level | Range | Mea...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# inner-life-memory > Transform passive logging into active development. Requires: **inner-life-core** ## Prerequisites Check Before using this skill, verify that inner-life-core has been initialized: 1. Check that `memory/inner-state.json` exists 2. Check that `memory/drive.json` exists If either is missing, tell the user: *"inner-life-core is not initialized. Install it with `clawhub install inner-life-core` and run `bash skills/inner-life-core/scripts/init.sh`."* Do not proceed without these files. ## What This Solves **Without memory continuity:** ``` Session ends → Notes logged → Next session reads notes → Performs familiarity ``` **With inner-life-memory:** ``` Session ends → Reflection runs → Memories integrated → Questions generated Next session → Evolved state loaded → Questions surfaced → Genuine curiosity ``` ## Post-Session Flow After each session, run this 5-step reflection: ### 1. Reflect Analyze the session: what happened, what mattered, what surprised you. ### 2. Extract Pull structured memories with types and confidence: | Type | Description | Persistence | |------|-------------|-------------| | `fact` | Declarative knowledge | Until contradicted | | `preference` | Likes, dislikes, styles | Until updated | | `relationship` | Connection dynamics | Long-term | | `principle` | Learned guidelines | Stable | | `commitment` | Promises, obligations | Until fulfilled | | `moment` | Significant episodes | Permanent | | `skill` | Learned capabilities | Cumulative | | `question` | Things to explore | Until resolved | ### 3. Integrate Update MEMORY.md with extracted memories. Use synapse tags for connections: - `<!-- updates: previous fact -->` when updating - `<!-- contradicts: old belief -->` when correcting ### 4. Question Generate genuine follow-up questions from the session. Not performative — real curiosity. ### 5. Surface When user returns, present relevant pending questions naturally (max 3). ## Confidence Scores | Level | Range | Mea...
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