Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Mermaid and ASCII diagrams of palace structure, knowledge topology, and synapse connectivity. Use when inspecting or presenting a palace visually.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Generate Mermaid and ASCII diagrams from the knowledge graph, showing palace structure, entity relationships, synapse connectivity, and tier assignments.
Status: wired. Invoke via
/palace diagram <palace-id> [--type map|ascii|entity|heatmap], which callsSkill(memory-palace:palace-diagram). The renderer lives inmemory_palace.palace_renderer.PalaceRenderer; see the Usage section below for direct programmatic access.
| Type | Format | Description |
|---|---|---|
| Palace map | Mermaid flowchart | Rooms as subgraphs, entities as nodes, synapses as edges |
| Entity graph | Mermaid flowchart | Single entity's connections and triples |
| Synapse heatmap | Mermaid flowchart | Edge styling by strength (thick=strong, dotted=weak) |
| ASCII overview | Text | Box-drawing palace layout with entity counts |
PalaceRendererfrom memory_palace.knowledge_graph import KnowledgeGraph
from memory_palace.palace_renderer import PalaceRenderer
graph = KnowledgeGraph("path/to/knowledge_graph.db")
renderer = PalaceRenderer(graph)
mermaid = renderer.palace_map("palace_id")
Then call mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
with the generated Mermaid string.
ascii_art = renderer.ascii_overview("palace_id")
print(ascii_art)
mermaid = renderer.entity_graph("entity_id")
mermaid = renderer.synapse_heatmap("palace_id")
| Strength | Style | Meaning |
|---|---|---|
| >= 0.7 | ==> (thick) | Strong connection |
| >= 0.4 | --> (normal) | Medium connection |
| < 0.4 | -.-> (dotted) | Weak connection |
Works with:
memory-palace-architect: visualize after palace creationknowledge-locator: display search results as graphgraph-analyzer: tier-informed node sizingPalaceRenderermcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
and render successfully==> for
strength ≥ 0.7, --> for ≥ 0.4, -.-> for < 0.4まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
日本語の概要は準備中です。原文の説明を表示しています。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
日本語の概要は準備中です。原文の説明を表示しています。