Flowfile Build and Environment Setup
Edwardvaneechoud/Flowfile
Recreates every Flowfile development and build environment from scratch, with exact version pins and an explanation of what each Makefile target really does.
“Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.”
Install RuView Onboarding Path Picker
$ npx skills add ruvnet/RuView --skill onboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/RuView onboard --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .claude/skills/onboard && rm -rf skills-srcUse ~/.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/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .claude/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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 install https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboardType 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.
$ npx skills add ruvnet/RuView --skill onboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/RuView onboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .agents/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .agents/skills/onboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .agents/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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.
$ npx skills add ruvnet/RuView --skill onboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/RuView onboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .cursor/skills/onboard && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .cursor/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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 https://github.com/ruvnet/RuView.git --path harness/ruview/.claude/skills/onboard--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/RuView --skill onboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/RuView onboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .gemini/skills/onboard && rm -rf skills-srcUse ~/.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/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .gemini/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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.
$ gh skill install ruvnet/RuView onboardInstalls 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).
$ npx skills add ruvnet/RuView --skill onboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .github/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .github/skills/onboard && rm -rf skills-srcUse ~/.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/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .github/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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.
$ npx skills add ruvnet/RuView --skill onboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/RuView onboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/RuView.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/harness/ruview/.claude/skills/onboard .opencode/skills/onboard && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "onboard" agent skill from https://github.com/ruvnet/RuView/tree/main/harness/ruview/.claude/skills/onboard into .opencode/skills/onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboard", 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
onboard- GitHub stars
- 97k
- Token cost
- ~333 tokens
- SKILL.md length
- 156 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
- Works in 3 steps: docker-demo — fastest, no hardware.… → repo-build — for developers. cd v2 &&… → live-esp32 — a real install. Flash a…
- SKILL.md covers Pick a path and Then
- Calls cargo and docker
About this skill
RuView Onboarding Path Picker is a skill in ruvnet/RuView (97k stars). Its SKILL.md is about 333 tokens. Licence: MIT.
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- docker-demo — fastest, no hardware. Replays sample CSI into the dashboard.
- repo-build — for developers. cd v2 && cargo test --workspace --no-default-features
- live-esp32 — a real install. Flash a node (provision-node skill), point it at
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 nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
cargodocker
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 Onboarding Path Picker loads about 333 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 156 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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). 156 words, ~333 tokens.
Download SKILL.mdSave it as
.claude/skills/onboard/SKILL.md (or your agent's skills folder).- name
- onboard
- description
- Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.
onboard
Get a newcomer from nothing to a working RuView setup. First fact to set: WiFi
sensing infers coarse pose/presence/breathing from Channel State Information — it
is not a camera, and any accuracy number must be MEASURED against a baseline
(use the verify skill / ruview_claim_check tool). Never present WiFi output as
camera-grade.
Pick a path
Run ruview_onboard {path} or decide from:
- docker-demo — fastest, no hardware. Replays sample CSI into the dashboard.
docker run -p 8000:8000 ruvnet/wifi-densepose→ openhttp://localhost:8000. Use to see what it looks like. - repo-build — for developers.
cd v2 && cargo test --workspace --no-default-features(1,031+ tests pass), thencargo run -p wifi-densepose-cli -- --help. - live-esp32 — a real install. Flash a node (
provision-nodeskill), point it at the sensing-server, thencalibrate-room. This is the only path that senses a real room.
Then
- Live sensing → go to provision-node, then calibrate-room.
- Evaluating a model/claim → go to verify and run
ruview_claim_checkon any report before you quote a number.
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in harness/ruview/.claude/skills/onboard of ruvnet/RuView.
Open the folder on GitHubat commit 0ef6b96
Compare with similar skills
RuView Onboarding Path Picker 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| RuView Onboarding Path Picker this skillruvnet/RuView | 97k | — | ~333 | Automated safety check: Pass | MIT | |
| Flowfile Build and Environment SetupEdwardvaneechoud/Flowfile | 375 | — | ~7.3k | Automated safety check: Notes | MIT | |
| Embedded Iot Mentoralirezarezvani/claude-skills | 28k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 116 | 1 repos | ~3.8k | Automated safety check: Pass | GPL-3.0 | |
| Embedded DebugFastLED/FastLED | 7.5k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Auto EmbeddedDunCanYounG-1/MICU-auto-embedded | 253 | — | ~1.6k | Automated safety check: Pass | CC-BY-NC-4.0 |
Similar skills
Embedded Iot Mentor
alirezarezvani/claude-skills
Mentor for embedded and IoT hardware projects. An agent skill from alirezarezvani/claude-skills.
Esp32 Firmware Engineer
alxv2016/folloup-sticky
ESP32 firmware engineering for ESP-IDF projects. An agent skill from alxv2016/folloup-sticky.
Embedded Debug
FastLED/FastLED
Firmware crash analysis, stack trace decoder, and register dump interpreter for ESP32/ARM/AVR platforms.
Auto Embedded
DunCanYounG-1/MICU-auto-embedded
全平台嵌入式 AI 开发框架（对标 Trellis）：把 RIPER-5 五阶段协议 + 四文件记忆 + 分层架构门禁 + Scout/Builder/Verifier 多 Agent + 24 个工具调用技能（build/flash/debug/serial/can/modbus/visa/static/memory/rtos/scons），做成『装进工程、项目级 hook…
Embedded Cpp14 Misra
BlueAndi/Pixelix
A skill your agent uses when writing, reviewing, or refactoring C/C++ firmware code in this repository (src/, lib/, test/) — creating or editing .h/.hpp/.cpp files, applying MISRA-oriented and…
More from ruvnet/RuView
All 24 skills in this repoRuView Advanced Sensing
ruvnet/RuView
Reference for RuView's research-grade WiFi sensing features: multistatic fusion, cross-viewpoint geometry, persistent field models, RF tomography, intention signals and mesh security.
RuView Sensing Applications
ruvnet/RuView
Runs RuView's WiFi sensing applications: presence, vital signs, activity and fall detection, pose estimation, sleep monitoring and environment mapping.
RuView CLI, API and WASM
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.
RuView Deployment Configuration
ruvnet/RuView
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.
Agent-Browser Automation
ruvnet/RuView
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.
RuView Hardware Setup
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.
Related
Categories
Questions about RuView Onboarding Path Picker
How do I install RuView Onboarding Path Picker in Claude Code?
Run `npx skills add ruvnet/RuView --skill onboard -a claude-code`. Or copy the skill folder (harness/ruview/.claude/skills/onboard in ruvnet/RuView) into .claude/skills/onboard in your project. Claude Code loads it when a task matches its description.
How do I install RuView Onboarding Path Picker in Codex?
Run `npx skills add ruvnet/RuView --skill onboard -a codex`. Or copy the skill folder (harness/ruview/.claude/skills/onboard in ruvnet/RuView) into .agents/skills/onboard in your project. Codex loads it when a task matches its description.
Can I use RuView Onboarding Path Picker 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 onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboard, .gemini/skills/onboard, .github/skills/onboard and .opencode/skills/onboard in your project.
What does RuView Onboarding Path Picker need to run?
Going by SKILL.md and its folder, RuView Onboarding Path Picker needs the command-line tools its instructions call (cargo and docker).
Does RuView Onboarding Path Picker 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 Onboarding Path Picker safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does RuView Onboarding Path Picker use?
RuView Onboarding Path Picker 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 Onboarding Path Picker use?
About 333 tokens (SKILL.md is roughly 1.3k 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 Onboarding Path Picker?
Skills that share tags, products or a category with RuView Onboarding Path Picker: Flowfile Build and Environment Setup (Edwardvaneechoud/Flowfile, 375 stars), Embedded Iot Mentor (alirezarezvani/claude-skills, 28k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 116 stars) and Embedded Debug (FastLED/FastLED, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains RuView Onboarding Path Picker?
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.