100 lines
3.8 KiB
Org Mode
100 lines
3.8 KiB
Org Mode
#+TITLE: SKILL: Multi-Modal Diagrammer (Universal Literate Note)
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#+ID: skill-diagrammer
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#+STARTUP: content
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#+FILETAGS: :visual:diagram:mermaid:psf:
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* Overview
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The *Multi-Modal Diagrammer* enables the agent to communicate complex architectural plans visually using Mermaid.js and D2 synthesis.
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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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Enable visual communication of plans and system states.
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** 2. User Needs
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- *Mermaid Synthesis:* Generate valid Mermaid.js graph code.
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- *D2 Support:* Support D2 for complex layout requirements.
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- *Org-Integration:* Embed results in `#+begin_src mermaid` blocks.
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* Phase D: Build (Implementation)
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** Synthesis Logic
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#+begin_src lisp :tangle projects/org-skill-diagrammer/src/diagram-logic.lisp
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(defun synthesize-mermaid (nodes edges)
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"Creates a Mermaid graph string from a list of nodes and edges."
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(let ((header "graph TD"))
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(format nil "~a~%~{ ~a --> ~a~%~}" header
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(loop for e in edges append (list (car e) (cdr e))))))
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(defun neuro-skill-diagrammer (context)
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"Neural stage: Converts a plan description into a visual graph structure."
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(let* ((payload (getf context :payload))
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(plan (getf payload :plan)))
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(format nil "
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Generate a Mermaid.js graph for the following plan:
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---
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~a
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---
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Return only the Mermaid code block.
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" plan)))
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#+end_src
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* Registration
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#+begin_src lisp
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(defskill :skill-diagrammer
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:priority 60
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:trigger (lambda (context) (eq (getf (getf context :payload) :sensor) :visualize))
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:neuro #'neuro-skill-diagrammer
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:symbolic (lambda (action context) action))
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#+end_src
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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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* Phase B: Blueprint (PROTOCOL)
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:PROPERTIES:
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:STATUS: DRAFT
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:END:
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** 1. Architectural Intent
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The *Multi-Modal Diagrammer* will translate abstract plans and system states into visual representations, primarily using Mermaid.js, and potentially D2 for advanced layouts. The system aims to provide a clear, concise, and easily embeddable visual summary of complex information to improve agent understanding and communication with humans. It separates neural summarization/extraction of the *desired* diagram content from the *construction* of a diagram based on that content.
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** 2. Semantic Interfaces
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*** 2.1. `synthesize-mermaid`
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:PROPERTIES:
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:purpose: Converts a list of nodes and edges into a Mermaid.js graph string.
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:input: `((nodes list) (edges list))`
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:output: `(mermaid-code string)`
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:side-effects: None
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:END:
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This function takes a list of nodes and a list of edges and constructs a valid Mermaid.js graph declaration. Edges are represented as pairs, where the `car` is the source node and the `cdr` is the target node.
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*** 2.2. `neuro-skill-diagrammer`
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:PROPERTIES:
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:purpose: Converts a plan description into a visual graph structure directive using a neural model.
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:input: `(context plist)`
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:output: `(neural-directive string)` ; e.g., the prompt sent to the neural model
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:side-effects: None
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:END:
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This function takes a context plist, extracts the plan description from the `:payload`, and generates a prompt or directive to be used by a neural model to synthesize the graph. The prompt should focus on the *content* to be visualized, leaving Mermaid syntax details to the `synthesize-mermaid` function. The prompt should instruct the LLM to return *only* the mermaid code.
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*** 2.3. `d2-layout` (Future Enhancement)
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:PROPERTIES:
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:purpose: Applies D2 layout engine to a Mermaid graph string for complex layouts.
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:input: `(mermaid-code string)`
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:output: `(d2-mermaid-code string)`
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:side-effects: Executes external D2 process
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:END:
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This function (potentially implemented later) takes a Mermaid graph string and uses the D2 layout engine to improve the visual arrangement of the diagram. This would likely involve shelling out to a D2 process.
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