rUv

@ruvnetUnicorn Breeder.

Unicorn Breeder.

cognitum.one

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github.com/ruvnet/claude-flow219 Skills · 1 repository

1 source

219 standalone skills219 published skills

AI Agents

llm-config

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

AI Agents

chat-format

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

AI Agents

vector-setup

First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via `doctor`

Developer Tools

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)

LLM Applications

vector-embed

Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index

Developer Tools

vector-cluster

Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)

LLM Applications

memory-search

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

AI Agents

memory-bridge

Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search

AI Agents

validate-plugin

Validate a Claude Code plugin structure, frontmatter, and MCP tool references

AI Agents

create-plugin

Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents

AI Agents

observe-trace

Trace agent execution by collecting spans and building a trace tree for a task

Analytics

observe-metrics

Aggregate and display system metrics with anomaly detection for a time period

Developer Tools

trader-portfolio-cg

Mean-variance portfolio optimization via Conjugate Gradient — 40-60× faster than the legacy Neumann path (ADR-126 Phase 3, ADR-123 Wedge 8)

Developer Tools

trader-explain

Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)

AI Agents

trader-cloud-backtest

Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally

Machine Learning

trader-backtest

Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)

Developer Tools