Agent skill

Sls Dashboard Builder

当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。

Apache-2.0Auto-check passedDevOps & Cloud

Install Sls Dashboard Builder

skills CLI

$ npx skills add alibaba/loongsuite-pilot --skill sls-dashboard-builder -a claude-code

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

GitHub CLI

$ gh skill install alibaba/loongsuite-pilot sls-dashboard-builder --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/alibaba/loongsuite-pilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .claude/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .claude/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder

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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -a codex

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

GitHub CLI

$ gh skill install alibaba/loongsuite-pilot sls-dashboard-builder --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/alibaba/loongsuite-pilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .agents/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .agents/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -a cursor

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

GitHub CLI

$ gh skill install alibaba/loongsuite-pilot sls-dashboard-builder --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/alibaba/loongsuite-pilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .cursor/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .cursor/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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/alibaba/loongsuite-pilot.git --path solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder

--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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -a gemini-cli

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

GitHub CLI

$ gh skill install alibaba/loongsuite-pilot sls-dashboard-builder --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/alibaba/loongsuite-pilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .gemini/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .gemini/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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 alibaba/loongsuite-pilot sls-dashboard-builder

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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/alibaba/loongsuite-pilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .github/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .github/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -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 alibaba/loongsuite-pilot sls-dashboard-builder --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/alibaba/loongsuite-pilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder .opencode/skills/sls-dashboard-builder && 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 "sls-dashboard-builder" agent skill from https://github.com/alibaba/loongsuite-pilot/tree/main/solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder into .opencode/skills/sls-dashboard-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sls-dashboard-builder", 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: sls-dashboard-builder
GitHub stars: 200
Token cost: ~1.8k tokens
SKILL.md length: 555 words
Files: 76 (incl. scripts, references)
Skills in repo: 2
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 3 steps: 更新已有大盘 → 创建单张大盘 → 创建大盘套件（多张）
Tasks that involve Observability
SKILL.md covers 总览, 何时使用, 默认行为 and 模式, plus 9 more sections
Calls python3

What it does

Sls Dashboard Builder is an agent skill from alibaba/loongsuite-pilot. 当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 83 other files, including scripts and reference files (for example `examples/charts/aggpro/流图-基础流图.json`, `examples/charts/barpro/柱状图-基础柱状图.json` and `examples/charts/barpro/柱状图-标签多种形态.json`).

It sits in DevOps & Cloud, covering Observability. It works with Alibaba Cloud, OpenTelemetry, TypeScript and macOS. The repository describes itself as: Local-first telemetry collector for AI coding agents — unified OpenTelemetry events for Claude Code, Codex, Cursor and more. Token usage, cost, traces and security audit… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Observability

Example prompts

“/sls-dashboard-builder”

Requirements

Python 3

Workflow steps

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

更新已有大盘
创建单张大盘
创建大盘套件（多张）

What it can do on your machine

Read from SKILL.md and the folder at commit e3829eb. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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

Sls Dashboard Builder loads about 1.8k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 555 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~31
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~17k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from alibaba/loongsuite-pilot at commit e3829eb, republished under its Apache-2.0 licence (© alibaba). 555 words, ~1,751 tokens.

Download SKILL.mdSave it as .claude/skills/sls-dashboard-builder/SKILL.md (or your agent's skills folder). This skill also uses 75 other files; get the full folder from GitHub.

name: sls-dashboard-builder
description: 当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。

SLS Dashboard Builder

创建或修改完整、可导入的阿里云 SLS dashboard JSON。

必备运维技能： 若任务涉及真实 Project 或大盘，且需要通过 aliyun sls ... 查看或复用线上大盘，必须基于最新线上 JSON 操作。

总览

本技能以任务为先，不以「先选图表模板」为先。
对线上大盘，还以当前线上状态为先。

若用户已提供以下任意一项或多项，不要从随意图表模板起手：

已有 dashboard JSON
大盘 URL 或大盘名称
指标需求或查询方案
已校验的查询结果文件
明确的「做这 2 张大盘」之类需求说明

上述情况下应先还原任务结构，再把每个已校验的视图映射到 SLS 图表，最后拼出 dashboard JSON。
若大盘已在线存在，应在最新线上 JSON 上打补丁，而不是推送更早的本地草稿。

何时使用

适用于：

新建 dashboard JSON
修改、扩展、重排已有 dashboard
将一份分析 / 监控需求包落实为 1 张或多张 dashboard
生成可直接通过 SLS API 导入的 dashboard 配置
参考现有 dashboard 的成熟写法做最小改造

不适用于：

单纯解释 SQL / PromQL
复杂前端可视化开发
非 SLS dashboard 配置

默认行为

默认输出形态：api-ready
新建大盘：现代格式（modern）
已有老格式大盘：保持 legacy，仅做最小补丁
用户提供了现有 JSON：保留未知字段与未改动的图表
未明确要求发布，或用户尚未确认预览效果前，只生成或修改本地 dashboard JSON，不 create/update 线上大盘
create/update 线上大盘时，以用户确认后的 dashboard JSON 为准
发布到 SLS 时使用插件命令 aliyun sls update-dashboard / create-dashboard，显式传 --display-name、--charts、--description、--attribute remark=<具体修改原因> type=grid update=<ms> version=<version>；不要用 CamelCase OpenAPI 入口 UpdateDashboard --body-file 发布。
公开 SLS Dashboard API 的 UpdateDashboard / aliyun sls update-dashboard 是覆盖式更新当前大盘；attribute.version/update/remark 只影响当前版本展示元数据，不会自动追加控制台「历史版本」归档。
用户说「先给一版」：默认 single-dashboard-mvp
用户提供完整任务包或设计文档：默认 single-dashboard-full
用户明确要求多张大盘：使用 multi-dashboard-suite

模式

1. 更新已有大盘

先拉取或读取当前 JSON
复用现有结构，只改被要求的图表或布局
不相关的图表与字段保持不动

2. 创建单张大盘

适用于用户需要一张盘，包含概览、关键趋势与表格等。

3. 创建大盘套件（多张）

适用于用户需要多个决策面，例如 留存与活跃 + 业务与成本。

多张盘之间保持命名、筛选器、标题风格与版式节奏一致。

任务包工作流

当输入包含需求文档、查询方案、结果文件或参考大盘时，按以下顺序：

判定任务形态：更新、新建，还是套件
建立视图清单：指标、展示意图、project 或 logstore、时间范围、阻塞项
若有名称或 URL，优先拉取真实参考大盘
将视图归组为大盘区块，例如 概览、趋势、TOP、Cohort、钻取
按视图意图选图表配方，不按产品营销名称选
仅当图表查询确实可被过滤或可被 token 替换时才加筛选器
受阻指标写成简短 markdownpro 说明，或明确省略；绝不编造缺失的源数据
每张大盘输出完整 JSON

针对此类分析套件任务，请阅读：

references/task-driven-workflow.md
references/view-recipes.md

视图意图 → 图表配方

compare-card → statpro
需要具备对比语义的 display.queryOptionMap，不能只用裸统计模板。
line（时间 + 数值）→ linepro
line（时间 + 分组 + 数值）→ 通常为 aggpro
常见于业务或类目拆解趋势。
top-table → tablepro
cohort-table → tablepro
section title → dashboardrow
blocker、assumption 或 scope note → 短说明用 text，富文本或长说明用 markdownpro
filter → droplistpro
仅当原始过滤路径中存在该 key，或查询已用 token 参数化时

工作规则

使用真实 JSON type，不要用界面展示名
线上补丁工作：仅以最近一次 dashboard get 结果为安全更新基线
线上发布必须通过 aliyun sls update-dashboard 的结构化参数传递；attribute.update 和 attribute.version 按字符串传入，并在每次发布前更新为新值。注意这只更新当前版本元数据，不代表已创建控制台历史快照。
attribute.remark 必须写明本次发布的具体修改原因，例如 对齐Token使用时段分布为HH:00并修复历史版本记录；不要使用 修改图表 这类泛化文案。
若用户要求 SLS 控制台「历史版本」可恢复记录，不能仅依赖公开 Dashboard API；必须先确认控制台保存流程或可用的历史版本接口，再发布。
chart.title 必须唯一且对正则安全
用户可见标题放在 display.basicOptions.displayName，legacy 用 display.displayName
TopN、队列（cohort）、明细表优先 tablepro
单序列或多指标趋势优先 linepro
一列度量 + 一列维度的分组时间趋势优先 aggpro
同比对比优先用 compare(...)、ts_compare(...)；但跨表 CTE（如维表 JOIN 事件表）时 compare() 不可用——它隐式扩展时间窗口不会同步到其他 logstore 的 CTE，导致对比值为 0。此时改用 time_base（max(__time__)）+ cur_agg/prev_agg 手动分窗口，且先按关联主键 GROUP BY 聚合再 JOIN 维表（减少 JOIN 行数避免超时）
SQL 别名应便于运维阅读；不要让 active_users、gt_5_users、scene_count 等裸英文字段名直接成为图例
指标定义对理解很重要时，通过 display.documentLinkOption.documentLinks[] 补充
同一张大盘上各图指标定义保持一致，尤其活跃、留存、成本、覆盖率等
tablepro + logstore 优先显式 SELECT ...；schema 或字段需要时用 scan
参考文档按需阅读，只读最少必要部分
搜索前缀 ((*)) vs *|：跨表 CTE（查询多个 logstore）时用 *| 或 (*)|；同一 logstore 内的查询用 *| 即可。((*)) 是旧写法，功能等价但可读性差
预聚合 CTE 的字段可加性：sum()/count() 可加；approx_distinct() 不可加——同一实体可能跨多个 GROUP BY 组，对预聚合结果求和会膨胀。需要去重计数时必须在原始事件上 approx_distinct

Show full SKILL.md (254 more words)Show less

输出前校验清单

输出前检查：

顶层结构符合 api-ready 或 editor-ready
dashboardName 与每个 chart.title 符合命名规则
除非用户要空壳，charts 非空
每个图表具备真实 type、search、display
静态组件如 dashboardrow、text 可不包含 search.chartQueries
每个图表具备 xPos、yPos、width、height
使用 queryOptionMap 时，字段与 SQL 结果列一致
目标受众为中文运维或业务时，图例、轴标签、表头使用规范中文
新改动基于最新线上大盘，而非更旧的本地副本
droplistpro 非装饰，必须绑定真实 key 或 token 路径
分组趋势不强行塞进错误的图表家族
老格式大盘不静默整体迁到现代结构
使用预聚合 CTE 时，检查外层是否对 approx_distinct 结果做了 sum()——如果是，该指标需要改为在原始事件上直接去重，或从 CTE 中移除
过滤条件是否在 WHERE 中而非 ON 中——如果 JOIN 条件含 OR（如 ON a = b OR a = c），追加的 AND filter 只作用于 OR 右侧，不是全局过滤
若任务包含 create/update 线上大盘，确认用户已经看过本地预览或明确认可当前 JSON

上游输入

sls-dashboard-builder 不维护业务 schema、公共 CTE、业务脚本或报表产物。
当上游业务 skill 或用户提供自然语言需求、数据语义、查询方案、已有 JSON 或输出路径时，本 skill 只负责把这些输入落实为 SLS dashboard JSON、图表配置和校验建议。

Skill Commands

render-report

将 dashboard JSON 转成可本地打开的 HTML 预览。该命令是 sls-dashboard-builder 对业务 skill 暴露的通用能力；业务 skill 通过 sls-dashboard-builder.render-report 生成本地预览。

该命令只理解通用 SLS dashboard 结构，不内置业务 schema、CTE 或默认过滤值；按 dashboard JSON 中的查询配置渲染预览结果。

当前实现：

bash

python3 .agents/skills/sls-dashboard-builder/scripts/render_report.py \
  --case-dir cases/<business-skill> <scenario>

常用参数：

--dashboard <path>：指定 dashboard JSON。
--output <path>：指定 HTML 输出路径。
--case-dir <path> <scenario>：按 cases/<business-skill>/output/<scenario>-dashboard.json 约定读取并输出。
--var key=value：替换 SQL 中的 ${{key}} token。
--profile test：指定 aliyun CLI profile；本交付目录默认使用 test。
--with-diff：和 git HEAD 中同一路径 dashboard JSON 做 SQL / 结果 diff。

参考文档索引

按需阅读：

references/task-driven-workflow.md — 任务包流程、套件拆分、版式节奏
references/view-recipes.md — 对比卡片、分组趋势、队列表、筛选与说明等配方
references/schema.md — 顶层结构与输出模式
references/chart-types.md — 真实 JSON type
references/datasources.md — chartQueries 形态
references/layout.md — 网格或自由布局规则
references/chart-templates.md — 基础图表模板
references/query-syntax.md — query 与 tokenQuery 规则

示例

按需使用：

examples/dashboards/modern/ — 现代格式大盘级示例（含分析套件）
examples/dashboards/legacy/ — 老格式大盘；仅用于 legacy 补丁场景
examples/charts/ — 按真实 JSON type 拆分的单图示例

常见错误

任务里已有校验查询与真实大盘，却仍从空白模板起手
用过期的本地 JSON 更新线上大盘，覆盖用户线上较新的修改
对比卡片用裸 statpro 却无对比映射
本可用一条 compare(...) 或 ts_compare(...) 表达的关系，却拆到多张图里
分组时间趋势该用 aggpro 却硬塞进 linepro
SQL 别名留英文，图例出现 active_users、gt_5_users 等裸名
同一张盘上同一指标在不同图中使用了不一致的口径
阈值或业务含义不直观时省略指标说明
增加未绑定任何查询路径的筛选器
任务只要求小补丁却重写整张大盘
在 chart.title 中使用大小写混杂或中文
对预聚合 CTE 的 approx_distinct 结果在外层 sum() 求和（详见工作规则-字段可加性）
跨表 CTE JOIN 时用 compare() 做同比（详见工作规则-compare 限制）
过滤条件放在 ON ... OR ... AND filter 中——AND 优先级高于 OR，实际只过滤了 OR 右侧匹配的行。过滤必须放在 WHERE 中，不能追加到含 OR 的 ON 子句后面
LEFT JOIN + WHERE IS NOT NULL 未简化为 JOIN
group_concat 不保序，应改为 array_join(array_sort(array_agg(DISTINCT ...)), ', ')
需求说明改了但 dashboard JSON 未同步更新

Files

SKILL.md and 75 other files (scripts, references) in solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder of alibaba/loongsuite-pilot.

SKILL.md
examples/charts/aggpro/流图-基础流图.json
examples/charts/barpro/柱状图-基础柱状图.json
examples/charts/barpro/柱状图-标签多种形态.json
examples/charts/burgauge/计量图-刻度盘.json
examples/charts/burgauge/计量图-基础计量图.json
examples/charts/crosstable/交叉表-基础交叉表.json
examples/charts/filter/基础过滤器（场景一）.json
examples/charts/filter/基础过滤器（场景三）.json
examples/charts/filter/基础过滤器（场景二）.json
examples/charts/filter/基础过滤器（场景四）.json
examples/charts/histogram/直方图-基础直方图.json
examples/charts/histogram/直方图-多维度堆叠和合成.json
… and 63 more

Open the folder on GitHubat commit e3829eb

Compare with similar skills

Sls Dashboard Builder 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.

Sls Dashboard Builder compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sls Dashboard Builder this skillalibaba/loongsuite-pilot	200	—	~1.8k	Automated safety check: Pass	Apache-2.0	today
Deploy Observabilityaliyun/alibabacloud-observability-mcp-server	166	—	~2.6k	Automated safety check: Notes	None	1 mo ago
Logfire Instrumentationbasicmachines-co/basic-memory	4.1k	—	~2.3k	Automated safety check: Pass	AGPL-3.0	today
Azure Monitor Opentelemetry TSmicrosoft/skills	3.1k	5 repos	~2.2k	Automated safety check: Pass	MIT	today
Quality Codevvedantb/eva	101	1 repos	~797	Automated safety check: Pass	MIT	today
Otel JSollygarden/opentelemetry-agent-skills	106	—	~655	Automated safety check: Pass	Apache-2.0	yesterday

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Otel JS
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Questions about Sls Dashboard Builder

What does Sls Dashboard Builder do?

当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。. Sls Dashboard Builder is an agent skill from alibaba/loongsuite-pilot.

When should I use Sls Dashboard Builder?

Sls Dashboard Builder fits situations like: tasks that involve Observability.

How do I install Sls Dashboard Builder in Claude Code?

Run `npx skills add alibaba/loongsuite-pilot --skill sls-dashboard-builder -a claude-code`. Or copy the skill folder (solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder in alibaba/loongsuite-pilot) into .claude/skills/sls-dashboard-builder in your project. Claude Code loads it when a task matches its description.

How do I install Sls Dashboard Builder in Codex?

Run `npx skills add alibaba/loongsuite-pilot --skill sls-dashboard-builder -a codex`. Or copy the skill folder (solutions/loongsuite-pilot-sls-dashboard/.agents/skills/sls-dashboard-builder in alibaba/loongsuite-pilot) into .agents/skills/sls-dashboard-builder in your project. Codex loads it when a task matches its description.

Can I use Sls Dashboard Builder 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 alibaba/loongsuite-pilot --skill sls-dashboard-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sls-dashboard-builder, .gemini/skills/sls-dashboard-builder, .github/skills/sls-dashboard-builder and .opencode/skills/sls-dashboard-builder in your project.

What does Sls Dashboard Builder need to run?

Going by SKILL.md and its folder, Sls Dashboard Builder needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Sls Dashboard Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sls Dashboard Builder 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sls Dashboard Builder use?

Sls Dashboard Builder is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sls Dashboard Builder use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.

What are the alternatives to Sls Dashboard Builder?

Skills that share tags, products or a category with Sls Dashboard Builder: Deploy Observability (aliyun/alibabacloud-observability-mcp-server, 166 stars), Logfire Instrumentation (basicmachines-co/basic-memory, 4.1k stars), Azure Monitor Opentelemetry TS (microsoft/skills, 3.1k stars) and Quality Code (vvedantb/eva, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sls Dashboard Builder?

alibaba (a GitHub organization) maintains it in alibaba/loongsuite-pilot, which has 200 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.

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

Install Sls Dashboard Builder

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

SLS Dashboard Builder

总览

何时使用

默认行为

模式

1. 更新已有大盘

2. 创建单张大盘

3. 创建大盘套件（多张）

任务包工作流

视图意图 → 图表配方

工作规则

输出前校验清单

上游输入

Skill Commands

render-report

参考文档索引

示例

常见错误

Files

Compare with similar skills

Similar skills

Deploy Observability

Logfire Instrumentation

Azure Monitor Opentelemetry TS

Quality Code

Otel JS

Golem Enable Otlp TS

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Questions about Sls Dashboard Builder