ruflo

Build or rebuild the ADR index + dependency graph in AgentDB by running the in-process `agentdb index` command (one cold-start, all surfaces in one pass — no per-record npx round-trips). Handles v3-style and plugin-style ADR formats.

Create a new Architecture Decision Record with sequential numbering and AgentDB registration

Hive Mind orchestration patterns — queen-led multi-agent coordination with Byzantine/Raft/Gossip/CRDT consensus, typed collective memory, dialectic council, and session checkpoint/resume. Use for decision-bearing work; use swarm-advanced for parallel execution without consensus.

Analyze git diffs for risk scoring, reviewer recommendations, and change classification

Detect missing test coverage and generate test suggestions

Hive Mind orchestration patterns — queen-led multi-agent coordination with Byzantine/Raft/Gossip/CRDT consensus, typed collective memory, dialectic council, and session checkpoint/resume. Use for decision-bearing work; use swarm-advanced for parallel execution without consensus.

Transfer learned patterns from another project on disk into this one -- the project-to-project pattern transfer that hooks_transfer performs

Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline

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

Initialize a multi-agent swarm with anti-drift configuration

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

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)

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

Review code changes against accepted ADRs and lint ADR frontmatter for cross-corpus and referential-integrity violations

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)

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

Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction

Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

Extract entities and relations from source files to build a knowledge graph

Pathfinder traversal of the knowledge graph starting from a seed entity

Comprehensive GitHub code review with AI-powered swarm coordination

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Hive Mind orchestration patterns — queen-led multi-agent coordination with Byzantine/Raft/Gossip/CRDT consensus, typed collective memory, dialectic council, and session checkpoint/resume. Use for decision-bearing work; use swarm-advanced for parallel execution without consensus.

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

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

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

Vector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns)

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Run comprehensive worker system benchmarks and performance analysis

Worker-Agent integration for intelligent task dispatch and performance tracking

Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator