Memory palace

Skill loursCreatif/ours-stack/memory-palace

Opinionated Agent Skills for AI-native autodidacts — deep learning, dense papers, public proof. Opinionated Agent Skills for AI-native autodidacts — deep learning, dense papers, public proof. By School of the Bear

Install

npx -y skills add loursCreatif/ours-stack --skill memory-palace

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Carte en relief oblique (style Google Maps 3D) — cliquer bâtiments et zones pour ancrer concepts (method of loci). Drill-down site → intérieur, panneau latéral. Pas de déplacement FPS. Reads brief.md, notes.md, research.md, report.md. Outputs memory-palace.json + HTML (Three.js vendored). Triggers: "memory palace", "palais de mémoire", "relief map", "carte oblique", /memory-palace. No new research.

SKILL.md

8.6 KB, as published. Nobody here has run it

Memory Palace

Transform study concepts into an oblique relief map (method of loci) — click buildings, drill into interiors, read concepts in a side panel. No FPS movement. No research.

When to use (vs other skills)

Skill	Responsibility	Does NOT
`/mind-map`	2D tree, editable JSON	Spatial relief map
`/layout-html`	Linear article + SVG	Spatial map
`/memory-palace`	This skill — relief map + drill-down loci	New sources, WASD navigation

Optional pipeline (manual only — never auto-chain):

/bear-hours → [dense read] → /memory-palace
/deep-research → /memory-palace

Hard rules

No research — never WebSearch / WebFetch. Concepts must trace to input files.
Wedge lock — if brief.md exists, exclude out-of-wedge concepts from default path[].
Provenance — every concept: source.file, source.section, optional anchor.
Cap — default 8–16 loci; AskUserQuestion before exceeding 20.
Two artifacts — memory-palace.json (manifest) + memory-palace.html (experience).
Self-contained HTML — Three.js from references/vendor/three.min.js, inlined; no CDN.
Iso-SVG fallback — isometric click map (same drill-down) when no WebGL, mobile, or prefers-reduced-motion.
Relief UX — oblique map by default; optional guided ground tour on rails (Visite guidée); pan/zoom on site level only; click building → interior; no WASD / pointer-lock / free movement.
Language — match source (lang on <html>).
Open browser — open <path> on macOS after write.
Theme first — AskUserQuestion before reading content (unless smart-skip).

Step 0: Theme — AskUserQuestion (always first)

Use AskUserQuestion — one call, wait for answer before continuing.

Title: Memory Palace — Theme

Hard rules:

Never list theme options as plain chat bullets — always AskUserQuestion
STOP after the call; wait for answer
Smart-skip — if user already named a theme (museum, chantier, corridor, library, or ≥5 words describing a place), skip this step

Question: "Quel décor pour ancrer tes concepts ? (method of loci — un parcours fixe aide la mémoire)"

Options (exactly 5):

id	label
`corridor`	Corridor classique — pièces en ligne, portes numérotées (défaut)
`museum`	Musée — salles thématiques, vitrines = sous-concepts
`construction`	Chantier / atelier — zones, équipements (robotique, BTP)
`library`	Bibliothèque — rayons = thèmes, livres = citations
`custom`	Custom — je décris le lieu dans le prochain message

If custom selected: wait for user's next message. Map to nearest archetype topology; store description in manifest theme_notes.

Default when skipped: corridor.

Load references/palace-archetypes.md for topology before Step 3.

Step 1: Intake — detect input mode

Resolve input in this priority order:

Mode	Trigger	Source	Default output
A — Study slug	slug or `studies/<slug>/`	`brief.md` → `notes.md` → `research.md`	`studies/<slug>/memory-palace.{json,html}`
B — Research slug	`research/<slug>/`	`report.md` (+ `brief.md` via Study link)	`research/<slug>/memory-palace.{json,html}`
C — File path	path to `.md`	that file	`<dir>/memory-palace.{json,html}`
D — Pasted concepts	user lists concepts in chat	message body	`output/layout/<slug>/memory-palace.{json,html}`

Slug derivation (mode D): lowercase-hyphen from title or first heading; ask once if ambiguous.

Custom output: user may specify → out.html — write HTML there; JSON alongside with same basename unless user says otherwise.

Guard: if no resolvable text and no pasted concepts → ask for slug, path, or concept list. Do not suggest /deep-research unless user wanted more content first.

Step 2: Extract concepts

Load references/concept-extraction.md. Read source files. Extract only what exists.

Minimum: ≥5 concepts or abort with guidance ("add notes.md or paste concepts").

Pre-flight: if only brief.md with no notes → warn palace will be thin; proceed only if ≥5 extractable concepts.

If >16 concepts extracted — AskUserQuestion:

Title: Memory Palace — Density

Options:

Trim to top 12 by importance
Keep all (warn larger file)
I'll pick concepts in chat

Step 3: Map loci (relief site)

Load references/loci-mapping.md + references/palace-archetypes.md.

path[] = ordered building ids on the site map (5–12)
Each locus: kind: building, footprint: [x, z, w, d], height, interior.zones, interior.hotspots
Each locus: optional scene — vivid mental image (scene.image, 1–2 sentences) + 2–3 sensory hooks (scene.senses: « Son — … », « Odeur — … », « Texture — … ») encoding the concept for method-of-loci recall
Entrée = wedge + why now; zones terrain/mécanismes/robots = findings; bureau = beliefs
blocked: true buildings = open questions (click → panel only, no interior)
Zone footprints relative to building interior (0…building size)

Step 4: Write `memory-palace.json`

Follow references/palace-schema.json (view_mode: relief). Write to resolved output dir.

Overwrite without asking unless file modified <1h ago and user didn't say overwrite.

Show user a compact summary: concept count, loci count, path order (one line).

Step 5: Compose `memory-palace.html`

Load references/navigation-ux.md. Compose via script (preferred).

Before composing:

bash memory-palace/scripts/fetch-three.sh

Pinned version: Three.js 0.160.0 (last npm release with build/three.min.js IIFE). Override: THREE_VERSION=0.160.0 bash …/fetch-three.sh.

If fetch fails (no network), fall back to iso-SVG HTML (--2d-only) and tell user to run fetch later for relief 3D.

Compose (agent-authored or helper script):

python3 memory-palace/scripts/compose-html.py studies/<slug>/memory-palace.json
# 2D only: python3 memory-palace/scripts/compose-html.py … --2d-only

Manual path:

Read memory-palace/references/vendor/three.min.js → inline in first <script> block
Embed full JSON as const PALACE_DATA = …
Inline scene bootstrap from html-template.md § Scene JS
Add room objects from loci[].objects (simple BoxGeometry props)
Theme colors from archetype table
HUD, overlays, 2D plan, footer with source files + study path

If user said 2d only: --2d-only or window.FORCE_2D = true; skip Three.js inline (smaller file).

Step 6: Deliver

open "<absolute-path>/memory-palace.html"

Tell the user:

Output paths (.json + .html)
Theme used
Locus count + concept count
Memory walk script — 30-second verbal path through buildings in path[] order
Source files used
Reminder: recall the path, not just the visuals
Optional: /layout-html for 2D report; re-run with overwrite after new notes

Escape hatches

User says	Action
`2d only`	Iso-SVG map only (no Three.js)
`overwrite`	Replace JSON/HTML without confirmation
slug only	Try `studies/<slug>/` then `research/<slug>/`
file path	Mode C
pasted concepts	Mode D — `output/layout/<slug>/`
theme in message	Smart-skip Step 0
`museum` / `construction` / etc.	Smart-skip theme question

Memory palace

One thing to look at

What its author says it does

SKILL.md

Memory Palace

When to use (vs other skills)

Hard rules

Step 0: Theme — AskUserQuestion (always first)

Step 1: Intake — detect input mode

Step 2: Extract concepts

Step 3: Map loci (relief site)

Step 4: Write `memory-palace.json`

Step 5: Compose `memory-palace.html`

Step 6: Deliver

Escape hatches

Self-check before delivery

Keep looking

One thing to look at

What its author says it does

SKILL.md

Memory Palace

When to use (vs other skills)

Hard rules

Step 0: Theme — AskUserQuestion (always first)

Step 1: Intake — detect input mode

Step 2: Extract concepts

Step 3: Map loci (relief site)

Step 4: Write memory-palace.json

Step 5: Compose memory-palace.html

Step 6: Deliver

Escape hatches

Self-check before delivery

Keep looking

Step 4: Write `memory-palace.json`

Step 5: Compose `memory-palace.html`