AI Response Knowledge Notes
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_51233435/1ai-response-to-node.
About this skill
The Problem
Many AI answers remain trapped in chat history: links may expire, content is hard to reproduce, and retrieval by concrete technical concepts is weak. Domestic platform share pages are often dynamically rendered, so naive fetching can return empty HTML.
How It Works
The skill detects supported AI platform links from the message and prefers a browser for dynamic pages, falling back to web_fetch when the page is static. It then extracts the user question, AI answer, key conclusions, code, and steps. It also generates concrete entity tags such as #Linux, #OSPF, and #Python, prioritizing specific tools, protocols, languages, and products over vague labels. Notes are archived by month under memory/ai-notes/YYYY-MM/YYYY-MM-DD_title.md, while INDEX.md is appended to for tag, date, and keyword lookup. User-provided tags can be added to the request and are appended after automatic tags.
Boundaries
The workflow depends on the link being accessible; domestic platforms may require a public share link or an active session. If extraction fails, the user should confirm link visibility. It is well suited to turning useful AI responses into searchable notes, but it does not replace full RAG pipelines, access control, or cross-platform corpus synchronization.
Use Cases
- While debugging OSPF, turn a DeepSeek chat link into a monthly note tagged #OSPF.
- When learning browser automation, extract Python and Chrome code steps from a Kimi answer into a note.
- Reviewing Linux network tests, search past notes by #Linux or #iperf and locate key conclusions.
- After a tooling discussion, append the question, answer, and conclusions from a Doubao link to INDEX.md.
Best For
- Ops engineers turning OSPF troubleshooting chats into searchable notes.
- Learners archiving Python automation answers with #Python tags.
- Support staff querying past AI conclusions by tag or date.
- Architects saving tooling discussions to a personal knowledge index.
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