Agent skill

RuView Deployment Configuration

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.

MITAuto-check: notesDevOps & Cloud

Install RuView Deployment Configuration

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .claude/skills/ruview-configure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .claude/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .agents/skills/ruview-configure && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .agents/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .cursor/skills/ruview-configure && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .cursor/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ruvnet/RuView.git --path plugins/ruview/skills/ruview-configure

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .gemini/skills/ruview-configure && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .gemini/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .github/skills/ruview-configure && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .github/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ruvnet/RuView --skill ruview-configure -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ruvnet/RuView ruview-configure --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruview/skills/ruview-configure .opencode/skills/ruview-configure && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ruview-configure" agent skill from https://github.com/ruvnet/RuView/tree/main/plugins/ruview/skills/ruview-configure into .opencode/skills/ruview-configure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ruview-configure", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: ruview-configure
GitHub stars: 97k
Token cost: ~1.7k tokens
SKILL.md length: 559 words
Files: 1
Skills in repo: 24
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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.

Works in 7 steps: Firmware build-time config (sdkconfig) → Runtime device config (NVS via… → Sensing server flags → …
Switching a RuView node's firmware build between the 8MB, 4MB or Heltec variants
SKILL.md covers 1. Firmware build-time config…, 2. Runtime device config (NVS…, 3. Sensing server flags and 4. Edge intelligence modules…, plus 4 more sections
Calls cargo, python and node

What it does

The skill covers two configuration layers. Firmware build-time config picks an sdkconfig variant file, such as the 8MB default with real WiFi CSI, a 4MB variant for the ESP32-S3 SuperMini with the display disabled and dual OTA slots, or a Heltec N16R2 variant, copied into place before a rebuild; it warns never to test in mock mode because a fall-threshold Kconfig bug only appeared with real CSI data.

Runtime device config is written to the csi_cfg NVS namespace over the serial port by provision.py, whose flags cover WiFi credentials and the aggregator's UDP sink, TDM mesh slot and total node count for multi-node setups, an edge-processing tier (0 off, 1 stats, 2 vitals), detection thresholds for presence and fall sensitivity, vitals window and subcarrier count, channel selection or multi-frequency hopping, MAC filtering, and Cognitum Seed integration with a seed URL, token and zone.

When your agent uses it

Switching a RuView node's firmware build between the 8MB, 4MB or Heltec variants
Provisioning a new ESP32 node's WiFi, mesh slot and detection thresholds over serial
Reducing false fall-detection alerts in a high-traffic deployment
Connecting a node to Cognitum Seed for a given zone

Example prompts

“Switch this node to the 4MB sdkconfig variant and rebuild.”
“Provision the node on COM8 with our WiFi credentials and a fall threshold of 20000.”
“Set up multi-frequency channel hopping across channels 1, 6 and 11 for this node.”

Requirements

Python, to run provision.py
An ESP32-S3 device connected over serial
Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep

Workflow steps

7 steps, taken from the step headings in SKILL.md.

Firmware build-time config (sdkconfig)
Runtime device config (NVS via provision.py)
Sensing server flags
Edge intelligence modules (ADR-041)
Multi-node mesh
Cognitum Seed integration ($140 total BOM)
App-level config

What it can do on your machine

Read from SKILL.md and the folder at commit 0ef6b96. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- cargo
- python
- node
- docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

RuView Deployment Configuration loads about 1.7k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 559 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~78
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Bash, Read, Write, Edit, Glob, Grep
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/RuView at commit 0ef6b96, republished under its MIT licence (© ruvnet). 559 words, ~1,651 tokens.

Download SKILL.mdSave it as .claude/skills/ruview-configure/SKILL.md (or your agent's skills folder).

name: ruview-configure
description: Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep

RuView Configuration

Everything you can tune in a RuView deployment, from a one-line provision flag to a full mesh + Cognitum Seed setup.

1. Firmware build-time config (sdkconfig)

Variant	File	When
8MB (default)	`firmware/esp32-csi-node/sdkconfig.defaults.template`	ESP32-S3 8MB, full feature set, real WiFi CSI
4MB	`firmware/esp32-csi-node/sdkconfig.defaults.4mb`	ESP32-S3 SuperMini 4MB — display disabled, dual OTA slots (`partitions_4mb.csv`, ~1.856 MB each)
Heltec N16R2	`firmware/esp32-csi-node/sdkconfig.defaults.heltec_n16r2`	Heltec boards

Switch: cp firmware/esp32-csi-node/sdkconfig.defaults.<variant> firmware/esp32-csi-node/sdkconfig.defaults, then rebuild (see ruview-hardware-setup). Never test in mock mode — the Kconfig fall-threshold bug only showed up with real CSI.

2. Runtime device config (NVS via provision.py)

provision.py writes the csi_cfg NVS namespace over the serial port. Run python firmware/esp32-csi-node/provision.py --help for the authoritative flag list (on Windows force PYTHONUTF8=1 PYTHONIOENCODING=utf-8 — the help text contains non-ASCII and crashes under cp1252).

bash

python firmware/esp32-csi-node/provision.py --port COM8 \
  --ssid "WiFi" --password "secret" \
  --target-ip 192.168.1.20 --target-port 5005 \   # aggregator UDP sink (port default 5005)
  --node-id 1 \                                   # 0-255
  --channel 6 --filter-mac AA:BB:CC:DD:EE:FF       # ADR-060: pin channel + filter transmitter

Flag group	Flags	Notes
WiFi / sink	`--ssid` `--password` `--target-ip` `--target-port` (5005) `--node-id`	`--node-id` 0-255
TDM mesh	`--tdm-slot` `--tdm-total`	0-based slot index + total node count — this is how multi-node mesh is slotted
Edge processing	`--edge-tier {0,1,2}`	0=off, 1=stats, 2=vitals (ADR-041)
Detection thresholds	`--pres-thresh` (50) `--fall-thresh` (15000 → 15.0 rad/s²)	raise `--fall-thresh` to cut false falls in high-traffic areas (issue #263)
Vitals	`--vital-win` (300 frames) `--vital-int` (1000 ms) `--subk-count` (32, top-K subcarriers)
Channel / hopping	`--channel` (1-14 / 36-177, overrides AP auto-detect) `--filter-mac` `--hop-channels` (`1,6,11`) `--hop-dwell` (200 ms)	omit `--channel` + set `--hop-channels` for ADR-061 multi-freq hopping; omit `--filter-mac` to capture all transmitters
Cognitum Seed	`--seed-url` (`http://10.1.10.236`) `--seed-token` (Bearer, from pairing) `--zone` (`lobby`)
Swarm	`--swarm-hb` (30 s) `--swarm-ingest` (5 s)	heartbeat + vector ingest intervals
Mode	`--dry-run` (build NVS bin, don't flash) `--baud` (460800) `--force-partial`

⚠️ NVS namespace is replaced wholesale (issue #391). Flashing rewrites the entire csi_cfg namespace — any key you don't pass on the CLI is erased. Always pass the full set you want, or use --force-partial knowingly. Read the device's current values off the serial boot log first (adaptive_ctrl / csi_collector lines) if you're unsure.

NVS partition images for fleet provisioning: scripts/generate_nvs_matrix.py (subprocess-first — the esp_idf_nvs_partition_gen API changed across versions).

3. Sensing server flags

bash

cd v2
cargo run -p wifi-densepose-sensing-server -- --help

# Common modes:
cargo run -p wifi-densepose-sensing-server                                  # live sink, default port
cargo run -p wifi-densepose-sensing-server -- --pretrain --dataset data/csi/ --pretrain-epochs 50
cargo run -p wifi-densepose-sensing-server -- --train --dataset data/mmfi/ --epochs 100 --save-rvf model.rvf
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --embed
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --build-index env

wifiscan server (multi-BSSID, ADR-022): cargo run -p wifi-densepose-sensing-server consumes wifi-densepose-wifiscan output; use neighbour APs as free radar illuminators.

Show full SKILL.md (221 more words)Show less

4. Edge intelligence modules (ADR-041)

Small Rust/WASM programs that run on the ESP32 itself — no internet, instant response. See docs/edge-modules/ and docs/adr/ADR-041-*. Each module declares its CSI feature inputs (8-dim feature vectors) and an RVF store target (Cognitum Seed). Configure which modules ship in a build via the firmware component config; configure their thresholds via NVS keys.

Helper scripts that mirror edge-module logic on the host (useful for tuning before flashing): scripts/apnea-detector.js, gait-analyzer.js, material-classifier.js, passive-radar.js, mincut-person-counter.js, device-fingerprint.js, mesh-graph-transformer.js, material-detector.js.

5. Multi-node mesh

2+ nodes give real spatial resolution. Each node provisioned to the same --target-ip sink.
TDM protocol + channel hopping coordinated by wifi-densepose-hardware (v2/crates/wifi-densepose-hardware/src/esp32/).
Cross-viewpoint fusion combines nodes — see ruview-advanced-sensing.

6. Cognitum Seed integration ($140 total BOM)

ESP32 streams CSI → bridge forwards to a Cognitum Seed for persistent RVF memory, kNN over environments, and an Ed25519 witness chain.

bash

node scripts/rf-scan.js --port 5006              # live RF room scan → Seed
node scripts/snn-csi-processor.js --port 5006    # SNN real-time learning on-Seed

See docs/tutorials/cognitum-seed-pretraining.md and ADR-028 (capability audit + witness verification).

7. App-level config

API: wifi-densepose-api (Axum) — config via wifi-densepose-config crate; see example.env / pyproject.toml for the v1 Python service.
Docker: docker run -p 3000:3000 ruvnet/wifi-densepose:latest (env-var overrides documented in README.md / docker/).
Dashboard: served on :3000; nvsim dashboard (ADR-092) is separate.

Reference

docs/adr/ (96 ADRs) — esp. ADR-022 (wifiscan), ADR-028 (capability audit), ADR-041 (edge modules), ADR-060 (channel/MAC override), ADR-061 (QEMU + mesh), ADR-081 (adaptive CSI mesh kernel)
CLAUDE.md / CLAUDE.local.md — crate map, build env, QEMU CI fixes
example.env, Makefile, firmware/esp32-csi-node/

Files

Just SKILL.md in plugins/ruview/skills/ruview-configure of ruvnet/RuView.

Open the folder on GitHubat commit 0ef6b96

Compare with similar skills

RuView Deployment Configuration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

RuView Deployment Configuration compared with similar skills
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Embedded DebugFastLED/FastLED	7.5k	—	~1.4k	Automated safety check: Pass	MIT	today
Embedded DebuggerAdancurusul/embedded-debugger-mcp	202	—	~1.4k	Automated safety check: Pass	MIT	2 mo ago
Auto EmbeddedDunCanYounG-1/MICU-auto-embedded	253	—	~1.6k	Automated safety check: Pass	CC-BY-NC-4.0	2 days ago

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Questions about RuView Deployment Configuration

What does RuView Deployment Configuration do?

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. The skill covers two configuration layers. Firmware build-time config picks an sdkconfig variant file, such as the 8MB default with real WiFi CSI, a 4MB variant for the ESP32-S3 SuperMini with the display disabled and dual OTA slots, or a Heltec N16R2 variant, copied into place before a rebuild; it warns never to test in mock mode because a fall-threshold Kconfig bug only appeared with real CSI data.

When should I use RuView Deployment Configuration?

RuView Deployment Configuration fits situations like: switching a RuView node's firmware build between the 8MB, 4MB or Heltec variants; provisioning a new ESP32 node's WiFi, mesh slot and detection thresholds over serial; reducing false fall-detection alerts in a high-traffic deployment; connecting a node to Cognitum Seed for a given zone.

How do I install RuView Deployment Configuration in Claude Code?

Run `npx skills add ruvnet/RuView --skill ruview-configure -a claude-code`. Or copy the skill folder (plugins/ruview/skills/ruview-configure in ruvnet/RuView) into .claude/skills/ruview-configure in your project. Claude Code loads it when a task matches its description.

How do I install RuView Deployment Configuration in Codex?

Run `npx skills add ruvnet/RuView --skill ruview-configure -a codex`. Or copy the skill folder (plugins/ruview/skills/ruview-configure in ruvnet/RuView) into .agents/skills/ruview-configure in your project. Codex loads it when a task matches its description.

Can I use RuView Deployment Configuration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/RuView --skill ruview-configure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ruview-configure, .gemini/skills/ruview-configure, .github/skills/ruview-configure and .opencode/skills/ruview-configure in your project.

What does RuView Deployment Configuration need to run?

Going by SKILL.md and its folder, RuView Deployment Configuration needs the command-line tools its instructions call (cargo, python, node and docker). Our summary lists: Python, to run provision.py; An ESP32-S3 device connected over serial. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep.

Does RuView Deployment Configuration access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is RuView Deployment Configuration safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does RuView Deployment Configuration use?

RuView Deployment Configuration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does RuView Deployment Configuration use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to RuView Deployment Configuration?

Skills that share tags, products or a category with RuView Deployment Configuration: Embedded Iot Mentor (alirezarezvani/claude-skills, 28k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 116 stars), Embedded Debug (FastLED/FastLED, 7.5k stars) and Embedded Debugger (Adancurusul/embedded-debugger-mcp, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains RuView Deployment Configuration?

ruvnet (a GitHub user) maintains it in ruvnet/RuView, which has 96,981 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

Source: ruvnet/RuView on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install RuView Deployment Configuration

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

RuView Configuration

1. Firmware build-time config (sdkconfig)

2. Runtime device config (NVS via provision.py)

3. Sensing server flags

4. Edge intelligence modules (ADR-041)

5. Multi-node mesh

6. Cognitum Seed integration ($140 total BOM)

7. App-level config

Reference

Files

Compare with similar skills

Similar skills

More from ruvnet/RuView

Related

Questions about RuView Deployment Configuration