Olares Dashboard
olares-cli dashboard command tree — AI-agent-oriented mirror of the dashboard SPA's Overview2 + Applications2 routes. Covers: the strict dual-shape JSON envelope (leaf items{raw|display}+meta vs aggregated sections+meta), the stable `dashboard.<area>.<verb>` Kind constants under cli/pkg/dashboard/schema.go, the 1:1 Go port of @bytetrade/core/src/monitoring.ts (UnitTypes / GetValueByUnit / GetSuitableUnit / GetSuitableValue / WorthValue / FormatFrequency / ConvertTemperature / GetDiskSize / GetThroughput / FormatTime / GetMinuteValue / GetLastMonitoringData / GetResult) under cli/pkg/dashboard/format/, the shared fetch helpers (FetchClusterMetrics / FetchNodeMetrics / FetchUserMetric / FetchWorkloadsMetrics / BuildRankingEnvelope / FetchSystemIFS / FetchSystemFan / FetchGraphicsList / FetchTaskList / FetchGraphicsDetail / FetchTaskDetail) at the cli/pkg/dashboard/ root, the two-layer architecture with MIRRORED subpackage trees on both sides — cmd shell under cli/cmd/ctl/dashboard/ (directory tree mirrors command tree, one thin .go file per leaf whose RunE is just `pkg<area>.RunXxx(...)`, slim ≤70-line common.go per area carrying var common+prepareClient+unknownSubcommandRunE only) vs pkg layer split into cli/pkg/dashboard/ (infra-only: Envelope/Item/Meta/CommonFlags/Client/Runner/all fetchers/all aggregators/the schema bundle) PLUS cli/pkg/dashboard/<area>/ subpackages (cli/pkg/dashboard/applications/, cli/pkg/dashboard/overview/, cli/pkg/dashboard/overview/disk/, cli/pkg/dashboard/overview/fan/, cli/pkg/dashboard/overview/gpu/) owning every leaf's Run*/Build*Envelope/Write*Table + tests next to the code, with strict no-upward (subpackage→root only, root→nothing) and no-sibling (overview/disk ↛ overview/fan) imports inside pkg — the parent-command sections-envelope defaults (overview = physical+user+ranking, overview disk = main+per-disk partitions, overview fan = live+curve) emit through pkg <area>/default.go's RunDefault, the hardcoded FanCurveTable / FanSpeedMaxCPU / FanSpeedMaxGPU constants kept 1:1 with SPA Fan/config.ts, the `--watch` HTTP-polling semantics (interval / iterations / timeout / 3-consecutive-failure exit / NDJSON-per-iteration / SIGINT-graceful / ErrTokenInvalidated short-circuit), the `--since` (sliding window in --watch only) vs `--start --end` (fixed window) mutual-exclusion rule, the three-state empty-data semantics (HTTP 404 → no_<feature>_integration / HTTP 200 empty → no_<feature>_detected), the capability gates (overview fan = HARD-gated to Olares One via /user-service/api/system/status; overview gpu = SOFT advisory mirroring the SPA sidebar — admin role + CUDA-node check populates `meta.note` and a stderr advisory but lets the HAMI fetch proceed) producing `empty_reason ∈ {not_olares_one, no_fan_integration, no_vgpu_integration, vgpu_unavailable (HAMI 5xx — meta.error / meta.http_status), no_gpu_detected}` plus stderr hints, the `Client.EnsureUser` sync.Once globalrole cache + `Client.EnsureSystemStatus` + `IsOlaresOne` + `HasCUDANode` capability cache, plus `RequireAdmin` guard for `--user` and admin-only commands, and the iteration red-lines that forbid horizontal cmd-area imports (any cross-area share must be hoisted to cli/pkg/dashboard/ — the BuildRankingEnvelope precedent), upward pkg-root←pkg-subpackage imports, sibling pkg subpackage imports, putting leaves directly under cmd/ctl/dashboard/ root instead of an area subpackage, putting envelope/table/watch/fan-out logic in cmd, reintroducing trampoline-alias common.go files, or altering envelope/Kind/watch/sections-default/capability-gate semantics. Use whenever the user mentions `olares-cli dashboard`, asks 'show overview / cpu / memory / disk / pods / network / fan / gpu / ranking / applications / pods', wants JSON for an AI agent, mentions --watch / --since / --start / --end / --user / --head / --limit / --mode (memory) / --temp-unit / --timezone / --test-connectivity (network) on the dashboard tree, hits errors like 'mutually exclusive', 'watch requires', 'platform-admin', or sees `meta.empty=true` / `empty_reason ∈ {no_vgpu_integration, vgpu_unavailable, no_gpu_detected, not_olares_one, no_fan_integration}` / stderr lines like 'fan is only available on Olares One devices', '(advisory) GPU sidebar entry is hidden ...', or 'gpu data temporarily unavailable: HAMI returned HTTP 5xx ...'.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
CRITICAL — before doing ANYTHING in this subtree, MUST Read [../olares-shared/SKILL.md](../olares-shared/SKILL.md) for profile selection, login, factory-injected *http.Client, and HTTP 401/403 recovery rules. Every dashboard verb depends on that foundation.
What this skill does
Olares Dashboard is a community-contributed Claude Code skill in the data-engineering sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/olares-dashboard/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use whenever the user mentions `olares-cli dashboard`, asks 'show overview / cpu / memory / disk / pods / network / fan / gpu / ranking / applications / pods', wants JSON for an AI agent, mentions --watch / --since / --start / --end / --user / --head / --limit / --mode (memory) / --temp-unit / --timezone / --test-connectivity (network) on the dashboard tree, hits errors like 'mutually exclusive', 'watch requires', 'platform-admin', or sees `meta.empty=true` / `empty_reason ∈ {no_vgpu_integration, vgpu_unavailable, no_gpu_detected, not_olares_one, no_fan_integration}` / stderr lines like 'fan is only available on Olares One devices', '(advisory) GPU sidebar entry is hidden .
Who uses this skill
The Olares Dashboard Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 211,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/olares-dashboard
curl -L https://claudskills.com/skills/olares-dashboard/SKILL.md \
-o ~/.claude/skills/olares-dashboard/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/olares-dashboard/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/olares-dashboard/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\olares-dashboard\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Olares Dashboard Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/olares-dashboard/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Olares Dashboard skill do?
olares-cli dashboard command tree — AI-agent-oriented mirror of the dashboard SPA's Overview2 + Applications2 routes. Covers: the strict dual-shape JSON envelope (leaf items{raw|display}+meta vs aggregated sections+meta), the stable `dashboard.<area>.<verb>` Kind constants under cli/pkg/dashboard/schema.go, the 1:1 Go port of @bytetrade/core/src/monitoring.ts (UnitTypes / GetValueByUnit / GetSuitableUnit / GetSuitableValue / WorthValue / FormatFrequency / ConvertTemperature / GetDiskSize / GetThroughput / FormatTime / GetMinuteValue / GetLastMonitoringData / GetResult) under cli/pkg/dashboard/format/, the shared fetch helpers (FetchClusterMetrics / FetchNodeMetrics / FetchUserMetric / FetchWorkloadsMetrics / BuildRankingEnvelope / FetchSystemIFS / FetchSystemFan / FetchGraphicsList / FetchTaskList / FetchGraphicsDetail / FetchTaskDetail) at the cli/pkg/dashboard/ root, the two-layer architecture with MIRRORED subpackage trees on both sides — cmd shell under cli/cmd/ctl/dashboard/ (directory tree mirrors command tree, one thin .go file per leaf whose RunE is just `pkg<area>.RunXxx(...)`, slim ≤70-line common.go per area carrying var common+prepareClient+unknownSubcommandRunE only) vs pkg layer split into cli/pkg/dashboard/ (infra-only: Envelope/Item/Meta/CommonFlags/Client/Runner/all fetchers/all aggregators/the schema bundle) PLUS cli/pkg/dashboard/<area>/ subpackages (cli/pkg/dashboard/applications/, cli/pkg/dashboard/overview/, cli/pkg/dashboard/overview/disk/, cli/pkg/dashboard/overview/fan/, cli/pkg/dashboard/overview/gpu/) owning every leaf's Run*/Build*Envelope/Write*Table + tests next to the code, with strict no-upward (subpackage→root only, root→nothing) and no-sibling (overview/disk ↛ overview/fan) imports inside pkg — the parent-command sections-envelope defaults (overview = physical+user+ranking, overview disk = main+per-disk partitions, overview fan = live+curve) emit through pkg <area>/default.go's RunDefault, the hardcoded FanCurveTable / FanSpeedMaxCPU / FanSpeedMaxGPU constants kept 1:1 with SPA Fan/config.ts, the `--watch` HTTP-polling semantics (interval / iterations / timeout / 3-consecutive-failure exit / NDJSON-per-iteration / SIGINT-graceful / ErrTokenInvalidated short-circuit), the `--since` (sliding window in --watch only) vs `--start --end` (fixed window) mutual-exclusion rule, the three-state empty-data semantics (HTTP 404 → no_<feature>_integration / HTTP 200 empty → no_<feature>_detected), the capability gates (overview fan = HARD-gated to Olares One via /user-service/api/system/status; overview gpu = SOFT advisory mirroring the SPA sidebar — admin role + CUDA-node check populates `meta.note` and a stderr advisory but lets the HAMI fetch proceed) producing `empty_reason ∈ {not_olares_one, no_fan_integration, no_vgpu_integration, vgpu_unavailable (HAMI 5xx — meta.error / meta.http_status), no_gpu_detected}` plus stderr hints, the `Client.EnsureUser` sync.Once globalrole cache + `Client.EnsureSystemStatus` + `IsOlaresOne` + `HasCUDANode` capability cache, plus `RequireAdmin` guard for `--user` and admin-only commands, and the iteration red-lines that forbid horizontal cmd-area imports (any cross-area share must be hoisted to cli/pkg/dashboard/ — the BuildRankingEnvelope precedent), upward pkg-root←pkg-subpackage imports, sibling pkg subpackage imports, putting leaves directly under cmd/ctl/dashboard/ root instead of an area subpackage, putting envelope/table/watch/fan-out logic in cmd, reintroducing trampoline-alias common.go files, or altering envelope/Kind/watch/sections-default/capability-gate semantics. Use whenever the user mentions `olares-cli dashboard`, asks 'show overview / cpu / memory / disk / pods / network / fan / gpu / ranking / applications / pods', wants JSON for an AI agent, mentions --watch / --since / --start / --end / --user / --head / --limit / --mode (memory) / --temp-unit / --timezone / --test-connectivity (network) on the dashboard tree, hits errors like 'mutually exclusive', 'watch requires', 'platform-admin', or sees `meta.empty=true` / `empty_reason ∈ {no_vgpu_integration, vgpu_unavailable, no_gpu_detected, not_olares_one, no_fan_integration}` / stderr lines like 'fan is only available on Olares One devices', '(advisory) GPU sidebar entry is hidden ...', or 'gpu data temporarily unavailable: HAMI returned HTTP 5xx ...'.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Olares Dashboard skill?
Use Olares Dashboard when your Claude Code task falls under the Engineering category — specifically in the data engineering area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Olares Dashboard" or describe the task and let Claude pick). Browse related skills at
/category/engineering/.
What is a Claude Code skill and how does the Olares Dashboard skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Olares Dashboard is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
beclab. (2026). Olares Dashboard [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/olares-dashboard/
BibTeX
@misc{olares-dashboard-2026,
author = {beclab},
title = {Olares Dashboard [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/olares-dashboard/}
}
Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
[](https://claudskills.com/skills/olares-dashboard/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/olares-dashboard.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/olares-dashboard.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Olares Dashboard"></iframe>
Security scan
Grade A · scanned 2026-10-25 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/olares-dashboard/#security)
More Engineering skills
Browse all Engineering skills in the ClaudSkills registry, or explore these other picks from the same category:
Part of Acreator Store — Adam Lankamer's AI tools:
PerfectStudio ·
Ucaption ·
UTagger ·
AutoXPoster ·
TestYourSkills ·
AutomationFlows ·
Au Naturel ·
Telegram @acreatorstore