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Read status and control the user's Tuya app devices through Tuya's cloud end-user API with a user-supplied API key: homes and rooms, device detail, thing-model property control, rename, weather…
$ npx skills add tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tuya/tuya-openclaw-skills gadget-tuya-cloud-devices --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/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/platforms/muse .claude/skills/gadget-tuya-cloud-devices && 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 "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .claude/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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/tuya/tuya-openclaw-skills/tree/master/platforms/museType 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 tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tuya/tuya-openclaw-skills gadget-tuya-cloud-devices --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/platforms/muse .agents/skills/gadget-tuya-cloud-devices && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .agents/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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 tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tuya/tuya-openclaw-skills gadget-tuya-cloud-devices --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/platforms/muse .cursor/skills/gadget-tuya-cloud-devices && 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 "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .cursor/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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/tuya/tuya-openclaw-skills.git --path platforms/muse--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 tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tuya/tuya-openclaw-skills gadget-tuya-cloud-devices --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/platforms/muse .gemini/skills/gadget-tuya-cloud-devices && 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 "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .gemini/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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 tuya/tuya-openclaw-skills gadget-tuya-cloud-devicesInstalls 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 tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/platforms/muse .github/skills/gadget-tuya-cloud-devices && 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 "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .github/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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 tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tuya/tuya-openclaw-skills gadget-tuya-cloud-devices --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tuya/tuya-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/platforms/muse .opencode/skills/gadget-tuya-cloud-devices && 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 "gadget-tuya-cloud-devices" agent skill from https://github.com/tuya/tuya-openclaw-skills/tree/master/platforms/muse into .opencode/skills/gadget-tuya-cloud-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gadget-tuya-cloud-devices", 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.
gadget-tuya-cloud-devicesRead status and control the user's Tuya app devices through Tuya's cloud end-user API with a user-supplied API key: homes and rooms, device detail, thing-model property control, rename, weather…
Gadget Tuya Cloud Devices is an agent skill from tuya/tuya-openclaw-skills. Read status and control the user's Tuya app devices through Tuya's cloud end-user API with a user-supplied API key: homes and rooms, device detail, thing-model property control, rename, weather, hourly statistics, self-send notifications, IPC cloud snapshots and real-time event subscription. Cloud only; prefer a device-specific or local-TCP skill when one matches.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
It sits in Data & Analytics, covering Statistics. The repository describes itself as: Tuya AI Skill Library for OpenClaw/TuyaClaw - An AI-driven skill set built for the development of Tuya's smart ecosystem (e.g., device control). The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit be95c3c. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
tuya.aiopenapi.tuyaus.comopenapi.tuyaeu.comopenapi.tuyain.comopenapi-ueaz.tuyaus.comopenapi-weaz.tuyaeu.comopenapi-sg.iotbing.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gadget Tuya Cloud Devices loads about 2.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 1,133 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.
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.
The full file from tuya/tuya-openclaw-skills at commit be95c3c, republished under its MIT licence (© tuya). 1,133 words, ~2,324 tokens.
.claude/skills/gadget-tuya-cloud-devices/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill when the user supplies a Tuya end-user API key (sk-...) and asks to control or
query devices from their Tuya app account. Devices are reached in the cloud, so no local keys or
model-specific datapoint maps are needed. For direct local-TCP control with a confirmed key and
datapoint schema, prefer Tuya Wi-Fi devices.
Follow the shared HomeLink networking and safety rules in home_link.md.
A user-supplied end-user API key, applied for at https://tuya.ai/. Treat it as a credential: pass it in a header, never log or echo it.
Send Authorization: Bearer <key> on every call. Pick the base URL from the first two
characters after sk-; it must match the account's region. If the prefix is not listed, ask
the user to confirm the key was issued for an international account at https://tuya.ai/.
Responses share one envelope: {"success": true, "result": ...} or
{"success": false, "code", "msg"}. On 1010 the key expired — ask for a fresh one. On 429
back off and honor Retry-After. List endpoints return everything in one response; there is
no pagination.
GET /v1.0/end-user/homes/all, and rooms with
GET /v1.0/end-user/homes/{home_id}/rooms when the user names one.GET /v1.0/end-user/devices/all, or scope to
.../homes/{home_id}/devices or .../homes/room/{room_id}/devices. Each entry in
result.devices[] carries device_id, name, category, category_name, online and,
under a home scope, room_id. Match the user's words against category_name first, then
fuzzy-match name. With multiple matches, list the candidates with their rooms and ask.GET /v1.0/end-user/devices/{device_id}/detail. A null result means the device does
not exist or the key has no access — stop. online: false means report the device as offline
and command nothing. result.properties maps each property code to its current value.GET /v1.0/end-user/devices/{device_id}/model. Its result.model field
is a JSON string that needs a second parse. services[].properties[] then defines each
property's code, accessMode (ro properties are read-only — say so) and typeSpec:value: min, max, step and scale — the real-world value is the raw number divided
by 10^scale.enum: the issued value must be one of range.bool / string: true/false, and maxlen respectively.
Common codes are switch_led/switch (bool power), bright_value/temp_value (0–1000),
temp_set (16–30) and mode (enum) — the model response is always authoritative.POST /v1.0/end-user/devices/{device_id}/shadow/properties/issue with a body whose
properties value is a JSON string, not an object — it is double-serialized:
{"properties": "{\"switch_led\":true}"}. An empty result object means the command was
accepted, not that it took effect. For relative asks ("a bit brighter"), adjust the current
value by 10% of the typeSpec range for vague amounts or by the stated amount exactly, clamp
to [min, max], honor scale and round to step.POST /v1.0/end-user/devices/{device_id}/attribute with {"name": "..."}, max 50
characters.GET /v1.0/end-user/services/weather/recent with lat, lon and codes — a
URL-encoded JSON array of attribute codes such as w.temp, w.humidity, w.condition,
w.conditionNum, w.pressure, w.realFeel, w.uvi, w.windDir, w.windLevel,
w.windSpeed, plus w.hour.N to set the forecast horizon to the next N hours. Response keys
are {code}.{index} with index 0 meaning now. Home coordinates are shaped
{"Value": "30.3"} — read the inner Value; ask the user for their city if the home has
none set.GET /v1.0/end-user/statistics/hour/config
(items carry dev_id, dp_code, statistic_type of SUM/COUNT/MAX/MIN), then
GET .../hour/data?dev_id=..&dp_code=..&statistic_type=..&start_time=..&end_time=... Times
are yyyyMMddHH and one request spans at most 24 hours; page longer ranges and aggregate.
Values return as an array of {time: value} pairs with string values.{"message": "..."}; mail and push take {"subject": "...", "content": "..."}.
Rate and duplicate limits apply (per contact: 15–30 per day, identical content more than
twice within 50 seconds is refused).POST /v1.0/end-user/ipc/{device_id}/capture/allocate
with body {"capture_json": "<json string>"} — double-serialized like property issue. The
string carries device_id, capture_type (PIC or VIDEO), optionally pic_count
(clamped to 1–5), video_duration_seconds (1–60, default 10) and home_id. Allocate only
reserves an upload slot: result.status is ACCEPTED or REJECTED and result carries
bucket and the object key(s) (image_object_key, and for VIDEO also video_object_key /
cover_image_object_key) — never a media URL; the device still has to capture and upload.
Then poll POST .../capture/resolve with a resolve_json string echoing device_id,
capture_type, bucket and the object key(s) from allocate, and pass
user_privacy_consent_accepted: true. Resolve returns the link to hand the user: the
image/video cloud storage URL in decrypt_image_url / decrypt_video_url. status: NOT_READY means keep polling — for PIC sleep 2 s, then resolve every 2 s up to 30 s, then
retry up to 3 times 3 s apart; for VIDEO sleep max(5, video_duration_seconds_effective) + 2
s using the clamped duration from the allocate response, then resolve every 2 s up to 120 s,
then retry up to 3 times 5 s apart. With pic_count above 1, allocate returns per-snapshot
coordinates in pic_slots[] — resolve each slot's key separately. A video's cover image can
lag the video itself — check message_for_user.Property changes and online/offline transitions are also pushed over WebSocket. This is a
long-lived process for an always-on host (a Linux gadget), not a one-shot query. Write a short
Python script using the websockets package:
wss://wsmsgs.iot-wus.com,
EU wss://wsmsgs.iot-eu.com, IN wss://wsmsgs.iot-ap.com, UE wss://wsmsgs.iot-eus.com,
WE wss://wsmsgs.iot-weu.com, SG wss://wsmsgs.iot-sea.com.Authorization: <key> header on the handshake — the same key as REST but without
the Bearer prefix.eventType and data. A devicePropertyChange
carries data.devId and data.status[], each with code, value and time (ms); an
onlineStatusChange carries data.devId, data.status ("online"/"offline") and
data.time.error, a failing errorCode, or "success": false as a
server error.raw, bitmap,
struct or array properties, or anything absent from the thing model.© tuya, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in platforms/muse of tuya/tuya-openclaw-skills.
Open the folder on GitHubat commit be95c3c
Gadget Tuya Cloud Devices 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 |
|---|---|---|---|---|---|---|
| Gadget Tuya Cloud Devices this skilltuya/tuya-openclaw-skills | 479 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
spacering-net/codeg
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
vigorX777/ai-daily-digest
Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses AI to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category…
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
higress-group/higress
Real-time agent conversation monitoring - monitors Higress access logs, aggregates conversations by session, tracks token usage.
tuya/tuya-openclaw-skills
Control Tuya smart home devices via natural language. An agent skill from tuya/tuya-openclaw-skills.
Categories
Read status and control the user's Tuya app devices through Tuya's cloud end-user API with a user-supplied API key: homes and rooms, device detail, thing-model property control, rename, weather…. Gadget Tuya Cloud Devices is an agent skill from tuya/tuya-openclaw-skills. Read status and control the user's Tuya app devices through Tuya's cloud end-user API with a user-supplied API key: homes and rooms, device detail, thing-model property control, rename, weather, hourly statistics, self-send notifications, IPC cloud snapshots and real-time event subscription.
Gadget Tuya Cloud Devices fits situations like: tasks that involve Statistics.
Run `npx skills add tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a claude-code`. Or copy the skill folder (platforms/muse in tuya/tuya-openclaw-skills) into .claude/skills/gadget-tuya-cloud-devices in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a codex`. Or copy the skill folder (platforms/muse in tuya/tuya-openclaw-skills) into .agents/skills/gadget-tuya-cloud-devices in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tuya/tuya-openclaw-skills --skill gadget-tuya-cloud-devices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gadget-tuya-cloud-devices, .gemini/skills/gadget-tuya-cloud-devices, .github/skills/gadget-tuya-cloud-devices and .opencode/skills/gadget-tuya-cloud-devices in your project.
SKILL.md names no scripts, command-line tools or credentials: Gadget Tuya Cloud Devices is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 7 domains. As links in the text: tuya.ai, openapi.tuyaus.com, openapi.tuyaeu.com, openapi.tuyain.com, openapi-ueaz.tuyaus.com, openapi-weaz.tuyaeu.com and openapi-sg.iotbing.com. This is read from the text; nothing was executed.
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.
Gadget Tuya Cloud Devices is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Gadget Tuya Cloud Devices: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tuya (a GitHub organization) maintains it in tuya/tuya-openclaw-skills, which has 479 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 7, 2026.
Source: tuya/tuya-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.