kb-visualize — Claude Code skill: knowledge graph and setup
Turns a knowledge bundle into an interactive concept graph. Use it to inspect the whole bundle or focus on the links around one concept.
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a claude-codeWhat kb-visualize does
The skill extracts concepts and cross-links into a graph model, then renders nodes in colors based on their types. You can view the full bundle or narrow the graph to one concept and its neighbors. A selected node opens a detail panel with its description, Markdown body, and incoming references; search and a type filter are included.
Claude Code gets a standalone HTML artifact, while hosts that support interactive UI can show the graph in the conversation. The HTML needs no backend: it embeds the model and loads Cytoscape.js and marked from a CDN. Graph extraction requires Node.js 18 or later. The skill reads the bundle without changing it.
What it helps with
- Map a knowledge bundle as a concept graph
- Explore links around a chosen concept
- Find concepts that refer to a selected node
- Search nodes and narrow the view by type
Example prompts for the agent
- Render an interactive graph for
knowledge/. - Show the concepts and links around this topic in the bundle.
- Create the HTML graph and check its nodes and edges.
How to install kb-visualize
1Skills CLI (Vercel)
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a claude-code2Manually: put the files in place
~/.claude/skills/kb-visualize/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/kb-visualize/
1Skills CLI (Vercel)
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a codex2Manually: put the files in place
.agents/skills/kb-visualize/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a cursor2Manually: put the files in place
.cursor/skills/kb-visualize/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install stjbrown/agent-knowledge kb-visualize2Manually: put the files in place
.github/skills/kb-visualize/SKILL.md1Skills CLI (Vercel)
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a gemini-cli2Platform CLI
gemini skills install https://github.com/stjbrown/agent-knowledge --path skills/kb-visualizeManually: put the files in place
.devin/skills/kb-visualize/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add stjbrown/agent-knowledge --skill kb-visualize -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about kb-visualize
How do I install kb-visualize in Claude Code?
Run npx skills add stjbrown/agent-knowledge --skill kb-visualize -a claude-code. The skill file is at ~/.claude/skills/kb-visualize/SKILL.md.
What does kb-visualize do?
It extracts concepts and links from a knowledge bundle and renders them as an interactive graph. The view includes node details, backlinks, search, and a type filter.
Which Node.js version does kb-visualize require?
The graph extraction script requires Node.js 18 or later.
Source text
SKILL.md · MIT
---
name: kb-visualize
description: Render a knowledge bundle as an interactive graph — native UI where the host supports it, otherwise a self-contained HTML artifact.
disable-model-invocation: true
version: 0.3.2
tags: [knowledge, okf, visualize, graph]
---
# kb-visualize — see the bundle as a graph
Render a [bundle](../kb/SKILL.md) as an interactive **force-directed graph** of its concepts, so a
human can see its shape — hubs, clusters, orphans, and how concepts connect. You author the view from
a deterministic graph model, so it can adapt to the request (a whole-bundle map, or a subgraph around
one concept); it is not a fixed template.
## 1. Extract the graph model
Run the bundled extractor against the target bundle (default `knowledge/`). It is a zero-dependency
Node script (`node >=18`); `<skill-dir>` is this skill's directory — `${CLAUDE_SKILL_DIR}` under
Claude Code, or whatever path your host exposes for the skill:
```
node "<skill-dir>/scripts/graph.mjs" <bundle-dir>
```
It prints JSON: `nodes` (including `id`, display metadata, `status`, `generated`, `verified`, derived
`trust_tier`, `stale_after`, derived `is_stale`, structured `sources`, attestation metadata, `body`,
`links`, and `cited_by`), the distinct `types`, and `edges`. Backlinks (`cited_by`) and
edges are already computed from the cross-links in concept bodies. If the user scoped the request to
one concept/area, filter the model to that node plus its neighbors.
The renderer MUST consume the model produced by **this extractor invocation**. Do not reuse a
previous run's cached graph JSON or a generator hard-coded to another cache filename. If the host
requires scratch files, overwrite one explicit model path, pass that same path to the renderer, and
remove it after verification.
**Completion criterion:** you have the graph model, and (if scoped) filtered it to the requested
subgraph.
## 2. Choose the output form by host capability
- **Host renders interactive UI** (e.g. Claude Desktop, Codex Desktop, an MCP-Apps host): render the
graph **as native UI** so it's live in the conversation.
- **Host is text/artifact only** (e.g. Claude Code, a terminal): write a **self-contained HTML file**
(single file, no backend, CDN libs only) next to the bundle or as an artifact, and give the user
the path.
If unsure whether the host renders UI, default to the HTML file — it works everywhere.
**Completion criterion:** the output form matches the host's capability.
## 3. Render the view
Whichever form, the view must show (mirroring a conformant OKF viewer):
- A **force-directed graph**: one node per concept, **colored by `type`**, directed **edges** from
each cross-link. A layout the user can switch (e.g. cose / concentric / breadth-first / grid) is a
plus.
- A **detail panel** for the selected node: its frontmatter (`description`, `resource` as a link,
`tags`, lifecycle/freshness, provenance, trust tier, and Attested Computation contract when
present) and its rendered markdown `body`, with internal concept links rewired to **navigate within
the view** (select that node) rather than following a file path.
- A **"Cited by"** list per node, from `cited_by` (the reverse link graph).
- A **search box** (matches title, id, tags) and a **type filter**.
For the HTML form, a proven stack is Cytoscape.js (graph) + marked (markdown) from a CDN, with the
graph model inlined as a JSON literal so the file is self-contained and nothing leaves the page. All
node data is already in the model from step 1 — do not re-read the bundle.
Verify the output against the fresh model: node and edge counts match, and every concept added or
superseded in the current run appears by ID. A rendered file that merely exists is not sufficient.
**Completion criterion:** the rendered view shows the graph (colored by type), a working detail panel
with in-view link navigation, backlinks, search, and type filter; its node/edge counts and changed
concept IDs match the freshly extracted model.
## 4. Deliver
Hand over the result: for UI, the live view; for HTML, the file path (and note it can be committed
next to the bundle, shared as an artifact, or hosted on any static file server). This is a read-only
consumer — it never modifies the bundle, so no log entry.
**Completion criterion:** the user has the view or its path.
© stjbrown · MIT · stjbrown/agent-knowledge