According to AlphaMoat, as of 2026-09, openclaw-reportstudio-community has 1,977 downloads and 0 stars — ranked #4,443 of 5,078 AI skills overall, and #343 of 399 in Data Analysis.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 57 | 1.9K | - | - |
| SkillHub ↗ | 185 | 2.0K | - | — |
Platforms count differently and update at different times.
After receiving a file and an analysis request, it can generate XLSX, PDF, and PPTX outputs using a chosen time grain, dimension, and measure. The community edition is read-only, and conclusions must be supported by the data, with warnings when history is insufficient.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.0K | — | - |
| 2026-08 | 1.8K | +5.6% | - |
| 2026-07 | 1.7K | +11.6% | - |
| 2026-06 | 1.5K | +7.6% | - |
| 2026-05 | 1.4K | — | - |
| 2026-03 | 1.1K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: openclaw-reportstudio-community description: Generate polished, read-only business reports from CSV/XLSX into static deliverables (xlsx+pdf+pptx) using ReportStudio Community. Use when a user says things like “用这个表生成月报/周报/经营分析/PPT+PDF汇报材料”, provides a file path, asks for trends (day/week/month), TopN breakdowns by a dimension/metric, or wants professional exports without hallucinated claims. --- # openclaw-reportstudio-community 将用户的自然语言需求 + 本地 CSV/XLSX 文件,转成可交付的 **XLSX + PDF + PPTX**(社区版:只读、安全、保守洞察)。 ## 工作流(自然语言触发)
### 1) 先把“人话”解析成参数 从用户话里抽取(缺省就用默认): - `file`: 输入文件路径(必填) - `prompt`: 用户意图(必填,原话或等价改写) - `out_dir`: 输出目录(默认 `./artifacts`) - `formats`: 默认 `xlsx,pdf,pptx` - `grain`: `day|week|month`(默认 `month`) - `dim`: 拆解维度(可选;默认用第一个维度列) - `measure`: 拆解指标(可选;默认用第一个数值列) - `topn`: 默认 10 - `time_range`: `YYYY-MM-DD..YYYY-MM-DD`(可选) 如果用户没有给文件路径:先追问“文件在哪里/发我路径”。 ### 2) 执行 ReportStudio(不改源文件) 优先用当前 python 环境直接运行: ```bash python -m reportstudio.cli.main \ --file <PATH> \ --prompt "<PROMPT>" \ --out-dir <OUT_DIR> \ --formats xlsx,pdf,pptx \ --topn 10 \ --grain month ``` 需要指定拆解维度/指标时: ```bash --dim <DIM_COL> \ --measure <MEASURE_COL> ``` > 可选:使用 `scripts/run_reportstudio.py` 做一层薄包装,方便做 artifacts 存在性校验与 JSON 捕获。 ### 3) 回传“可验收”的结果 - 把 stdout 的 JSON 作为主输出(包含 `artifacts/warnings/tables/meta`)。 - 同时给用户一句人话总结:产物有哪些、是否有 warnings(历史不足/截断/字段未识别等)。 ### 4) 保守原则(必须遵守) - 不编造因果;只输出数据支持的、可量化的结论。 - 历史不足就写 warning,不硬算 DoD/WoW/MoM/YoY。 - 社区版只读:不写 DB、不改源文件、不默认外网。 ## 验收 需要验收清单时,读取:`references/acceptance.md`
The data layer for AdMapix: turn ad and app queries into API calls that return raw JSON only.
Searches the public web through Tavily and returns structured results with links and snippets.
A data-analysis skill that turns databases, spreadsheets, and raw exports into decision-ready conclusions.
A skill that analyzes stocks and cryptocurrencies on Yahoo Finance data and tracks a portfolio.
Manages a local stock watchlist and summarizes recent quotes for its codes from the Tonghuashun stock pages.
全网招中标数据查询与分析助手。当用户涉及以下任何场景时,必须使用此SKILL:查询招标/中标公告、搜索标讯、查找临期/即将到期项目、商机预测、推荐潜在投标供应商、分析公司主营业务/历史中标、查询公司上下游合作客户与供应商、分析竞争对手/竞对企业、查询Top采购单位/Top中标单位/Top中标品牌、招中标数据统计分析(按月/季/年/省份/品牌等维度)、查询品牌型号历史中标单价/价格趋势、市场分析/行业分析/采购寻源/渠道拓展等采购与投标相关场景。即使用户没有提到「知了标讯」,只要涉及招投标、采购、中标、供应商、竞争对手等关键词,都应使用本SKILL。
Track blog and RSS/Atom feed updates from the command line.
Summarises per-model usage cost for Codex or Claude.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.