Let the Agent read and write your material
Chat has a hidden cost: shuttling. Copy material in, copy conclusions out. Once is fine. Every day is a waste.
The skill wires the Agent to your library
With the LLM-notebook skill installed, the Agent can:
- read: search your material by keyword and get the body text plus its source;
- write: turn the result into a note and file it back into your workspace;
- archive: collect the current session itself into the library.
You stop hand-feeding context, because all your material already lives in one place.
A real sequence
Ask it to draft an industry overview from the three research reports you saved last week:
- Search material → three reports matched.
- Read the bodies → market size, growth rate, competitive landscape located.
- Draft the piece → citation markers kept.
- Write it back → you edit it in the workspace.
You say one sentence, then you review.
Draw the boundaries
Read-and-write access means the permissions have to be obvious:
- It searches what you authorised, not your whole machine.
- Writing back creates a new note; it does not overwrite your work.
- Every citation in the draft can be clicked and checked.
The Agent is not valuable because it thinks for you. It is valuable because it carries and files for you.
Keep reading
LLM-notebook: turn a YouTube video into material you can question
YouTube has whole courses on it, but video is linear: to find the sentence the instructor said ten minutes ago you drag the scrubber and hope, and there is nowhere to ask about the part you did not follow. LLM-notebook turns a YouTube link into material you can question — the video plays in the workspace, the subtitles are laid out by paragraph, and anything you do not understand you select and ask about. Answers cite the exact passage, and one click jumps back to that moment.
Read postLLM-notebook: turning flowing LLM conversations into knowledge assets
A sharp answer in ChatGPT, a workable engineering practice in Gemini, reusable reference material in Qwen — and a week later it is scattered across four chat histories, impossible to search and impossible to edit. LLM-notebook collects LLM conversations into one library and settles them into notes you can read, export and share.
Read postChangelog
From the first version on main to today, logged week by week. Every entry comes from a real commit — features, but also the mistakes and the rollbacks.
Read post