sparc-implement
Run the SPARC Pseudocode and Architecture phases (2 and 3) — write algorithm pseudocode, design module boundaries and API contracts, then implement
⌘ K
Newest skills
3209 skills
security-scan
Run full security scans on the codebase using Ruflo security tools. Use when reviewing PRs for security regressions, auditing auth/input-handling code, before production deploys, or when the user asks for a security check at quick/standard/deep depth.
dependency-check
Scan project dependencies for known vulnerabilities and CVEs. Use when auditing third-party packages, before releases, after `npm install`/lockfile changes, or when investigating reported CVE advisories.
session-persist
Persist and restore agent sessions across conversations with state snapshots
rvf-manage
Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
llm-config
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
chat-format
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
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`
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)
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
vector-cluster
Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)
memory-search
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
memory-bridge
Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search
validate-plugin
Validate a Claude Code plugin structure, frontmatter, and MCP tool references
create-plugin
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
observe-trace
Trace agent execution by collecting spans and building a trace tree for a task
observe-metrics
Aggregate and display system metrics with anomaly detection for a time period
trader-train
Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
trader-signal
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
trader-risk
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
trader-regime
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.
trader-portfolio
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
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)
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)