96 lines
3.3 KiB
Org Mode
96 lines
3.3 KiB
Org Mode
#+TITLE: SKILL: Atomic Notes Retrieval (Universal Literate Note)
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#+ID: skill-atomic-notes
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#+STARTUP: content
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#+FILETAGS: :knowledge:retrieval:zettelkasten:psf:
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* Overview
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This skill provides the **Deep Memory** for the agent. it enables **Sparse Tree Perception** over the Zettelkasten, using semantic search and recursive interlinking to maintain high-signal context without token bloat.
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* Phase A: Demand (PRD)
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:PROPERTIES:
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:STATUS: FROZEN
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:END:
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** 1. Purpose
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Define the interfaces for knowledge retrieval from the atomic note DAG.
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** 2. User Needs
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- **Atomicity:** Each note represents exactly one concept.
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- **Sparse Tree Perception:** Extract headlines and IDs before deep reading.
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- **Recursive Deep-Dive:** Follow internal links to pull related context.
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- **Search Efficiency:** Optimized searching via `ripgrep`.
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** 3. Success Criteria
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*** TODO Concept Discovery
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*** TODO Link Resolution
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*** TODO Sparse Tree Extraction Verification
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* Phase B: Blueprint (PROTOCOL)
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:PROPERTIES:
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:STATUS: SIGNED
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:END:
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** 1. Architectural Intent
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Interfaces for scanning and resolving nodes in the Zettelkasten. It implements a two-stage retrieval process: Sparse Perception (Headlines/IDs) followed by Targeted Deep-Reading.
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** 2. Semantic Interfaces
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#+begin_src lisp
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(defun atomic-notes-scan (query)
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"Stage 1: Returns a sparse list of matching headlines and their unique IDs.")
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(defun atomic-notes-deep-read (ids)
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"Stage 2: Retrieves the full content for a specific list of node IDs.")
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#+end_src
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* Phase D: Build (Implementation)
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** Stage 1: Sparse Scan
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#+begin_src lisp :tangle projects/org-skill-atomic-notes/src/retrieval-logic.lisp
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(defun atomic-notes-scan (query)
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"Uses ripgrep to find matching headlines and extracts their IDs."
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(let ((notes-dir (or (uiop:getenv "MEMEX_NOTES") "notes/")))
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(kernel-log "MEMORY - Sparse Scan for: ~a" query)
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;; We grep for headlines and include the following line which usually has the ID property
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(uiop:run-program (list "rg" "-i" "-A" "1" (format nil "^\\*+.*~a" query) notes-dir)
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:output :string)))
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#+end_src
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** Stage 2: Deep Read
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#+begin_src lisp :tangle projects/org-skill-atomic-notes/src/retrieval-logic.lisp
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(defun atomic-notes-deep-read (ids)
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"Retrieves the full content subtree for given IDs from the Object Store."
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(let ((results '()))
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(dolist (id ids)
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(let ((obj (org-agent:lookup-object id)))
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(when obj
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(push (list :id id :content (org-agent:org-object-content obj)) results))))
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results))
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#+end_src
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** Neuro-Cognitive Intelligence
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#+begin_src lisp :tangle projects/org-skill-atomic-notes/src/retrieval-logic.lisp
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(defun neuro-skill-atomic-notes (context)
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"Neural stage of Sparse Perception.
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It analyzes the search results and decides which specific IDs to 'deep read'."
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(let ((query-results (atomic-notes-scan (getf (getf context :payload) :query))))
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(format nil "
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I found the following headlines matching your query:
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---
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~a
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---
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TASK:
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Identify the IDs of the most relevant notes.
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Return a Lisp plist: (:target :atomic-notes :action :deep-read :ids (\"id1\" \"id2\"))
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" query-results)))
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#+end_src
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* Registration
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#+begin_src lisp
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(defskill :skill-atomic-notes
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:priority 90
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:trigger (lambda (context) nil)
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:neuro #'neuro-skill-atomic-notes
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:symbolic #'atomic-notes-scan)
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#+end_src
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