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Bridge explorer

Skill bks-lab/open-bridge/skills/bridge-explorer

Bridge visualizations — ecosystem (repos, workspaces, skills, infra), repo layout (CORE/USER split, 4 brain-metaphor variants v1–v4), and constellation (5-layer information network with hub-out routing). Single-file HTML, dark/light, opens in browser. Descriptions sourced from docs/repo-layout/regions.yaml. Trigger: "/bridge-explorer", "explorer", "show ecosystem", "repos overview", "repo layout", "core/user split", "where do files live", "repo structure", "network diagram", "constellation", "information flow", "how is everything linked".From its SKILL.md

Install
npx -y skills add bks-lab/open-bridge --skill bridge-explorer

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

2 things to look at

  • 8 stars8 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.
  • runs commandsInstructs the agent to run 1 command, including `python3 docs/repo-layout/build-constellation.py`.

SKILL.md

2.8 KB, 527 tokens by cl100k_base, as published. Nobody here has run it

Bridge Explorer

Visualize Bridge state as interactive HTML dashboards. Read the referenced file ONLY when triggered.

Decision Tree

User wants to...
├── Ecosystem visualization            → Read references/workflow.md
├── CORE/USER repo split visual        → Read references/repo-layout.md
│   (triggers: "repo layout", "core/user", "where do files live",
│    "repo structure"; pick variant v1–v4 or c-prime, see below)
├── Information flow / network         → Render + open the network variant
│   (triggers: "network diagram", "constellation", "how is everything linked",
│    "how does the bridge distribute information", "layers")
└── Questions about ecosystem          → Read ecosystem.yaml directly

Repo-layout variants

All variants render the same CORE/USER + cluster-wrapper split, sourced from docs/repo-layout/regions.yaml (single source of truth — edit there, all variants pick up on regenerate).

Constellation (network) is generated, not hand-edited. Its nodes/edges/flows live in regions.yaml under constellation: (schema v3). After editing them run:

python3 docs/repo-layout/build-constellation.py

This injects the JS data block into network.html between the CONSTELLATION-DATA markers and bumps the version badge. Precondition: network.html must have been rendered first — the script refreshes the data block of an existing rendered file; on a fresh clone there is no network.html yet, so render it via this skill first. Wire it into your deploy pipeline so the served HTML never drifts from regions.yaml by hand.

VariantLens
c-primeEditorial cluster/top-level map (primary, dense)
networkConstellation — 5-ring information network (hub → brain → synapses → memory → state → world), 4 sectors (Meta · Operations · CustomerA · Identity), bundled edges, named flows
v1Hemispheric brain (CORE left, USER right) — static SVG
v2Brain with anatomical region labels + side panel
v3Interactive brain — click region for drill-down
v4Minimal two-column schematic — dense, print-friendly

User-facing MOC: docs/repo-layout.md.

What ships with it: 2 files

20.7 KB alongside SKILL.md

references/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.