vector-hyperbolic
Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)
Profile →npx skills add ruvnet/ruflo --skill vector-hyperbolic --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vector Hyperbolic Embed hierarchical data in the Poincare ball model using `ruvector`. ## When to use Use this skill when your data has inherent hierarchy — dependency trees, module structures, taxonomies, org charts, ontologies. Hyperbolic space captures hierarchical distances with far fewer dimensions than Euclidean embeddings. ## Steps 1. **Ensure ruvector@0.2.25 is available**: ```bash npm ls ruvector 2>/dev/null | grep '0.2.25' || npm install ruvector@0.2.25 ``` 2. **Generate a base ONNX embedding** (ruvector@0.2.25 does not expose a `--model poincare` flag on `embed text`): ```bash npx -y ruvector@0.2.25 embed text "hierarchical concept" -o concept.vec.json ``` 3. **Project into the Poincare ball** in your own code (or via the experimental neural substrate): ```bash npx -y ruvector@0.2.25 embed neural --help ``` For an ad-hoc projection, normalize the 384-dim vector to live inside the unit ball (`x_i / (||x|| * (1 + epsilon))`) and persist the projected coordinates alongside the original embedding. 4. **Geodesic distance**: `d(u, v) = arcosh(1 + 2 * ||u-v||^2 / ((1-||u||^2)(1-||v||^2)))` Distance grows logarithmically with tree depth, preserving hierarchy. 5. **Store result
- When to use
- Steps
- Caveats
- Poincare ball properties
- Use cases
npm ls ruvector 2>/dev/null | grep '0.2.25' || npm install ruvector@0.2.25 npx -y ruvector@0.2.25 embed text "hierarchical concept" -o concept.vec.json npx -y ruvector@0.2.25 embed neural --help
What does the vector-hyperbolic skill do?
Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)
How do I install it?
Run `npx skills add ruvnet/ruflo --skill vector-hyperbolic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.