Dimensions
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing image assets, markup, and CDN or build transforms related to Set explicit width and height on images.
识别新增维度值并评估其在北极星指标上的表现。当归因维度出现新增值(如新渠道、新品类、新功能)需要评估效果时调用. An agent skill from agentscope-ai/QwenPaw-Data.
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-new-dimension-analysis --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/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .claude/skills/bi-new-dimension-analysis && 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 "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .claude/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysisType 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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-new-dimension-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .agents/skills/bi-new-dimension-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .agents/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-new-dimension-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .cursor/skills/bi-new-dimension-analysis && 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 "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .cursor/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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/agentscope-ai/QwenPaw-Data.git --path packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis--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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-new-dimension-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .gemini/skills/bi-new-dimension-analysis && 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 "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .gemini/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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 agentscope-ai/QwenPaw-Data bi-new-dimension-analysisInstalls 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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .github/skills/bi-new-dimension-analysis && 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 "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .github/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-new-dimension-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis .opencode/skills/bi-new-dimension-analysis && 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 "bi-new-dimension-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis into .opencode/skills/bi-new-dimension-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-new-dimension-analysis", 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.
bi-new-dimension-analysis识别新增维度值并评估其在北极星指标上的表现。当归因维度出现新增值(如新渠道、新品类、新功能)需要评估效果时调用. An agent skill from agentscope-ai/QwenPaw-Data.
Bi New Dimension Analysis is an agent skill from agentscope-ai/QwenPaw-Data. 识别新增维度值并评估其在北极星指标上的表现。当归因维度出现新增值(如新渠道、新品类、新功能)需要评估效果时调用。
Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e0bae36. 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 (its code samples are csv).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Bi New Dimension Analysis loads about 505 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 87 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 agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 87 words, ~505 tokens.
.claude/skills/bi-new-dimension-analysis/SKILL.md (or your agent's skills folder).识别归因维度中当期首次出现的新增维度值(如新渠道、新品类、新功能),评估其在北极星指标上的表现,判断其对业务的贡献和效果。通常适用于周度或月度对比。
当期和往期的维度指标数据(CSV),至少包含以下列:
| 列 | 说明 | 示例 |
|---|---|---|
| 时间列 | 周期标识 | 日期 |
| 维度列 | 维度名称 | 渠道 |
| 指标列 | 北极星指标值 | 访问用户数 |
| 父维度列 | 父维度名称(可选,层级维度时需要) | 对话模式 |
示例(维度列=渠道,北极星指标列=访问用户数,1 月为往期,2 月为当期,"抖音渠道"为新增维度值):
日期,渠道,访问用户数
2025-01-01,自然流量,10000
2025-01-01,付费投放,8000
2025-02-01,自然流量,11000
2025-02-01,付费投放,7500
2025-02-01,抖音渠道,3000若上游步骤已产出可用数据文件则直接使用,否则自行取数。
识别新增且趋于平稳的维度值:
根据新增维度的层级,选择不同的对比基准和对比指标:
0 级维度(无父维度):对比基准为整体均值和整体 Top1 维度值
| 对比指标 | 计算方式 |
|---|---|
| 绝对值 | 新增维度的北极星指标值 |
| 整体占比 | 新增维度值 / 整体指标值 |
| 均值偏离度 | (新增维度值 - 整体均值) / 整体均值 |
| Top-1 偏离度 | (新增维度值 - 整体 Top-1 值) / 整体 Top-1 值 |
子维度(有父维度):对比基准为父维度内均值和父维度内 Top-1 维度值
| 对比指标 | 计算方式 |
|---|---|
| 绝对值 | 新增维度的北极星指标值 |
| 均值偏离度 | (新增维度值 - 父维度内均值) / 父维度内均值 |
| Top-1 偏离度 | (新增维度值 - 父维度内 Top-1 值) / 父维度内 Top-1 值 |
| 组内排名 | 在相同父维度下的排名位置 |
将各归因维度的新增维度分析结果汇总输出。示例:
0 级维度:
维度值 北极星指标值 整体占比 均值偏离度 Top1偏离度
新渠道A 15000 8.0% +25.0% -10.0%子维度:
维度值 父维度 北极星指标值 均值偏离度 Top1偏离度 组内排名
新品类B 父类X 8000 -15.0% -30.0% 5/8© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis of agentscope-ai/QwenPaw-Data.
Open the folder on GitHubat commit e0bae36
Bi New Dimension Analysis 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 |
|---|---|---|---|---|---|---|
| Bi New Dimension Analysis this skillagentscope-ai/QwenPaw-Data | 127 | — | ~505 | Automated safety check: Pass | Apache-2.0 | |
| Dimensionsthedaviddias/Front-End-Checklist | 74k | — | ~926 | Automated safety check: Pass | MIT | |
| Modeling Dimension TablesPostHog/posthog | 40k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Six Dimension Code Reviewa5c-ai/babysitter | 1.8k | — | ~700 | Automated safety check: Pass | MIT | |
| Cja Dimension Analysisadobe/skills | 197 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Gram Telemetry Query Dimensionsspeakeasy-api/gram | 273 | — | ~2.4k | Automated safety check: Pass | AGPL-3.0 |
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing image assets, markup, and CDN or build transforms related to Set explicit width and height on images.
PostHog/posthog
Build reusable dimension / lookup tables for a star schema — country/region, timezone, currency, date, plan/product, and other descriptive attributes — on either PostHog data-warehouse views (HogQL)…
a5c-ai/babysitter
Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged…
adobe/skills
Comprehensive dimension analysis and reporting for CJA. An agent skill from adobe/skills.
speakeasy-api/gram
How to add a new attribute value (dimension) that the generic org-scoped telemetry.query analytics endpoint can group by and filter on.
skydoves/android-testing-skills
A skill your agent uses to verify Compose layout measurements from a UI test using assertWidthIsEqualTo, assertHeightIsEqualTo, assertWidthIsAtLeast, assertHeightIsAtLeast…
agentscope-ai/QwenPaw-Data
将 BI 数据分析结果组织成可视化 HTML 报告。当分析完成、需要生成报告时调用. An agent skill from agentscope-ai/QwenPaw-Data.
agentscope-ai/QwenPaw-Data
取数 / 查数据 / 拉数据 / 跑 SQL。把自然语言取数需求转为 SQL,经数据湖仓执行后返回查询结果供下游分析。任何需要业务数据的任务在工作区缺少对应文件时都必须先调用此技能——覆盖 BI 业务分析、留存 / 转化 / 同期群分析、数据探索 EDA、统计建模、定量计算、元数据查询、数据查询。命中任一即触发:(1) 直接索要指标或记录,如「DAU 多少」「上月销售额」「3…
agentscope-ai/QwenPaw-Data
通过量化历史数据的自然波动幅度,自适应计算判定阈值。当需要从数据本身确定阈值(如波动阈值、影响度阈值等)、而非使用固定值时调用。仅适用于日/周粒度阈值确定。
agentscope-ai/QwenPaw-Data
基于阈值检测时间序列中的显著异常波动点。当需要找出指标异常波动日期、识别数据异动时调用. An agent skill from agentscope-ai/QwenPaw-Data.
agentscope-ai/QwenPaw-Data
计算各维度(组)值对指标变动的贡献度,支持可加型量值指标和加权平均型/率值指标。当需要计算贡献度、解释指标"为什么涨/跌"时调用。
agentscope-ai/QwenPaw-Data
从运营周报、活动文档、对话输入或文档工具 API 中提取业务事件,与指标异常时间窗口对齐,生成有证据支撑的因果归因假设并排序。当已知指标存在异常波动、需要从外部文档证据中解释"为什么"时调用。
识别新增维度值并评估其在北极星指标上的表现。当归因维度出现新增值(如新渠道、新品类、新功能)需要评估效果时调用. An agent skill from agentscope-ai/QwenPaw-Data. Bi New Dimension Analysis is an agent skill from agentscope-ai/QwenPaw-Data.
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-new-dimension-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-new-dimension-analysis in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-new-dimension-analysis 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 agentscope-ai/QwenPaw-Data --skill bi-new-dimension-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-new-dimension-analysis, .gemini/skills/bi-new-dimension-analysis, .github/skills/bi-new-dimension-analysis and .opencode/skills/bi-new-dimension-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Bi New Dimension Analysis is instructions for the agent only.
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.
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.
Bi New Dimension Analysis 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.
About 505 tokens (SKILL.md is roughly 2k 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 Bi New Dimension Analysis: Dimensions (thedaviddias/Front-End-Checklist, 74k stars), Modeling Dimension Tables (PostHog/posthog, 40k stars), Six Dimension Code Review (a5c-ai/babysitter, 1.8k stars) and Cja Dimension Analysis (adobe/skills, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 127 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 5, 2026.
Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.