
Vector Setup
If you've hit cryptic "ONNX WASM files not bundled" or "Brain commands require @ruvector/pi-brain" errors when running /vector subcommands, this skill does the full bootstrap: pins ruvector@0.2.25, installs the three core add-ons (ONNX embeddings, pi-brain, ruvllm), registers the MCP server via claude mcp add, and runs doctor plus a handful of smoke tests to confirm hooks, attention, and rvf subcommands actually work. It's idempotent, so safe to re-run. The --full flag pulls graph-node and router if you need those. Use it once per fresh install or whenever you clone a project that uses ruvector but doesn't bundle the deps.
- skills.sh installs
- 684
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill vector-setup --agent claude-codeInstalls into .claude/skills of the current project.
Files
Vector Setup
Bootstraps ruvector@0.3.13 and its optional add-ons so every /vector subcommand actually works on first run.
Why this exists
Out of the box, several /vector subcommands fail with a confusing dep error:
| Error | Missing package |
|---|---|
ONNX WASM files not bundled. The onnx/ directory is missing. | none — upgrade to ruvector 0.3.3 or later, which bundles it (0.2.x lacks it) |
requires @ruvector/rabitq-wasm (or diskann, router, graph, rvlite, rvf, tiny-dancer) | npx -y ruvector@0.3.13 add <extra> installs it into this project (0.3.8); add --list shows what is installed |
Brain commands require @ruvector/pi-brain | @ruvector/pi-brain |
SONA not available. Native error: Cannot find module '/.../@ruvector/sona/index.js' | @ruvector/ruvllm (JS fallback) |
LLM commands require @ruvector/ruvllm | @ruvector/ruvllm |
This skill installs them in one pass.
Steps
Sponsors
Details
- Repository
- github.com/ruvnet/ruflo
- Categories
- Backend & APIs, AI & Agent Building
- First seen
- Jun 3, 2026
More from ruvnet/ruflo
All 236- Cost Trend683
- Cost Conversation682
- Cost Export681
- Cost Benchmark679
- Cost Booster Edit679
- Browser674
- Witness656
- AgentDB Advanced Features
- AgentDB Learning Plugins
- AgentDB Memory Patterns
- AgentDB Performance Optimization
- AgentDB Vector Search
- Hooks Automation
- Pair Programming
- ReasoningBank Intelligence
- ReasoningBank With AgentDB
- Skill Builder
- V3 CLI Modernization
- V3 Core Implementation
- V3 DDD Architecture
- V3 Deep Integration
- V3 MCP Optimization
- V3 Memory Unification
- V3 Performance Optimization