Agent skills by ruvnet

Reference for RuView's research-grade WiFi sensing features: multistatic fusion, cross-viewpoint geometry, persistent field models, RF tomography, intention signals and mesh security.

ruvnet/RuView

Runs RuView's WiFi sensing applications: presence, vital signs, activity and fall detection, pose estimation, sleep monitoring and environment mapping.

ruvnet/RuView

Covers the RuView `wifi-densepose` command line binary, its Axum REST API and the WebAssembly builds for browsers and ESP32, for embedding or scripting RuView.

ruvnet/RuView

Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.

ruvnet/ruflo

Tunes a deployed RuView WiFi-sensing system without changing code: firmware sdkconfig variants, NVS provisioning over serial, channel and MAC filtering, edge processing tiers and mesh slotting.

ruvnet/RuView

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

ruvnet/agentic-flow

Drives a web browser through the agent-browser CLI, using compact accessibility snapshots with element refs in place of the full DOM to keep context small.

ruvnet/RuView

Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.

ruvnet/RuView

Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.

ruvnet/ruflo

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

ruvnet/agentic-flow

Sets up and runs 60 GHz and 24 GHz mmWave radar sensing on ESP32 boards in RuView, alone or fused with WiFi CSI.

ruvnet/RuView

Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.

ruvnet/ruflo

Trains and evaluates several WiFi-signal-based pose and sensing models, from unsupervised pose estimation to domain adaptation and publishing.

ruvnet/RuView

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

ruvnet/agentic-flow

Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.

ruvnet/ruflo

Gets a newcomer to a running RuView WiFi sensing dashboard, picking between a no-hardware Docker demo, a source build or live ESP32-S3 sensing.

ruvnet/RuView

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

ruvnet/agentic-flow

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

ruvnet/agentic-flow

Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI.

ruvnet/metaharness

Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.

ruvnet/ruflo

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

ruvnet/agentic-flow

Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.

ruvnet/ruflo

Reaches RuView sensing hardware, such as ESP32 CSI nodes, mmWave radars, RPLIDAR and iPhone LiDAR, from the host it is plugged into or over SSH.

ruvnet/RuView

Diff two scaffolded harnesses (ADR-031). An agent skill from ruvnet/metaharness.

ruvnet/metaharness

Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.

ruvnet/ruflo

Runs Darwin Mode on an agent harness: mutates one policy file per generation in a sandbox, scores each variant against your tests, and archives only variants that measurably improve.

ruvnet/RuView

Kernel-version skew check (ADR-027). An agent skill from ruvnet/metaharness.

ruvnet/metaharness

Run comprehensive worker system benchmarks and performance analysis

ruvnet/agentic-flow

Builds, flashes and provisions an ESP32-S3 or C6 CSI node for RuView, with checksum-verified flashing, WiFi settings and boot-log evidence that CSI is flowing.

ruvnet/RuView

Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot…

ruvnet/metaharness

Worker-Agent integration for intelligent task dispatch and performance tracking

ruvnet/agentic-flow

Finds models on the Hugging Face router that lack descriptions in chat-ui's prod.yaml and dev.yaml, researches each one and adds short descriptions.

ruvnet/ruflo

Explore and prototype rvAgent + RVF integration for RuView agentic flows.

ruvnet/RuView

Verify a RuView build — full Rust workspace tests, the deterministic Python pipeline proof (SHA-256 Trust Kill Switch), firmware hash manifest, and the ADR-028 witness bundle with one-command…

ruvnet/RuView

Train/evaluate WiFi pose models honestly — camera-supervised (MediaPipe + CSI) and camera-free (WiFlow), always checked against the mean-pose baseline before any PCK is quoted.

ruvnet/RuView

Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture.

ruvnet/metaharness

Proves a RuView result is real by running a deterministic SHA-256 proof and a witness bundle, and by checking reports for untagged or unreproducible accuracy claims.

ruvnet/RuView

7-section readiness scorecard for a LOCAL repo. An agent skill from ruvnet/metaharness.

ruvnet/metaharness

Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists…

ruvnet/RuView

Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.

ruvnet/RuView

5-dimension scorecard (0-100, grade A/B/C/F) for a scaffolded harness.

ruvnet/metaharness

Structures complex feature work into five planning-first phases (specification, pseudocode, architecture, refinement and completion) driven through claude-flow commands.

ruvnet/agentic-flow

Reviews GitHub pull requests with a swarm of specialized agents covering security, performance, architecture, style and accessibility, driven by the gh CLI and ruv-swarm.

ruvnet/agentic-flow

Manages GitHub issues and project boards with swarm coordination: issue creation and triage, issue-to-task conversion, progress tracking and stale issue cleanup.

ruvnet/agentic-flow

Generates and optimizes GitHub Actions workflows with swarm coordination, using named modes for PR management, issue tracking, releases and repository structure.

ruvnet/agentic-flow

Patterns for running multi-agent swarms on research, development and testing work, with four topologies and a four-phase research swarm built on claude-flow MCP tools.

ruvnet/agentic-flow

Coordinates work across several GitHub repositories: swarm-driven cross-repo operations, package version and documentation sync, and repository structure optimization.

ruvnet/agentic-flow

MCP threat-model artifact for a scaffolded harness. An agent skill from ruvnet/metaharness.

ruvnet/metaharness