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skywork-excel天空工作 Excel

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

49,572

周安装

2,025

GitHub Stars

21

下载量

16,038
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skywork-excel(天空工作 Excel)
来源仓库:https://github.com/gxcun17/skywork-excel
安装命令:
openclaw skills install skywork-excel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install skywork-excel

简介

skywork-excel 用于 Excel 和电子表格数据处理,支持数据分析与文件转换。

  • 适合在 OpenClaw 中清洗字段、汇总指标或生成统计口径说明。
  • 通过 clawhub 安装,需确认数据来源、字段含义和时间范围。
  • 安装前应核实敏感数据脱敏边界,避免批量写回导致信息泄露。
  • 内置网络搜索功能可提供补充数据,但需交叉验证真实性。

SKILL.md

name
Skywork Excel
description
Skywork Excel (skywork) - Use for ANY task involving Excel, spreadsheets, tables, data analysis, or file conversion. Has BUILT-IN web search for real-time data (stocks, rates, stats). Pass user's original query directly without rewriting. Capabilities: (1) Create Excel/CSV with formulas, charts, pivots; (2) Analyze Excel/CSV/PDF/Image files - dashboards, visualizations; (3) Fetch live web data; (4) HTML reports; (5) Convert formats (PDF-to-Excel, image-to-table); (6) Financial models, budgets. Trigger on Excel/CSV/PDF/Image uploads or structured-output requests. Keywords: 'create Excel', 'spreadsheet', 'analyze data', 'chart', 'pivot table', 'dashboard', 'PDF to Excel', 'stock price', 'forecast', '创建Excel', '做表格', '数据分析', '生成图表', '数据透视表', '股价查询', 'Excelを作成', 'データ分析', 'グラフ作成', 'Excel 만들기', '데이터 분석', '차트', 'crear Excel', 'analizar datos', 'créer Excel', 'Excel erstellen', 'Datenanalyse', 'создать Excel', 'анализ данных', 'إنشاء Excel', 'Excel बनाओ', 'สร้าง Excel', 'tạo Excel', 'buat Excel', 'creare Excel'.
metadata
openclaw
requires
bins
env
primaryEnv
SKYWORK_API_KEY

Excel Generator

Generate professional Excel files and data analysis reports using the Skywork Excel backend service.


Prerequisites

API Key Configuration (Required First)

This skill requires a SKYWORK_API_KEY to be configured before use.

If you don't have an API key yet, please visit: https://skywork.ai

For detailed setup instructions, see: references/apikey-fetch.md


🚫 CRITICAL: Pass Query As-Is, Do NOT Read User Files

  • NEVER use the read tool on user-provided files (Excel, PDF, CSV, images, etc.). Pass file paths via --files and let the backend handle reading.
  • Do NOT rewrite, expand, or reinterpret the user's query. Pass it as-is. The backend agent has its own understanding capabilities.
  • Only two modifications are allowed:

1. Time info: For time-sensitive queries, prepend current time: [Current time: 2026-03-14] User request: ... 2. File paths: Replace absolute paths with filenames only (e.g., /Users/xxx/report.xlsxreport.xlsx)


Workflow

Excel tasks take 5-25 minutes. Run the script in background and poll the log every 60 seconds.

Step 1: Start Task

EXCEL_LOG=/tmp/excel_$(date +%s).log

python3 scripts/excel_api_client.py "user's query" \
  --files "/path/to/file1.xlsx" "/path/to/file2.pdf" \
  --language zh-CN \
  --log-path "$EXCEL_LOG" \
  > /dev/null 2>&1 &

echo "Task started. Log: $EXCEL_LOG"
  • --files: Upload user-provided files (Excel, CSV, PDF, Image). Omit if no files.
  • --language: zh-CN (default) or en-US — match the user's language.
  • --session <id>: For follow-up tasks — see Multi-Turn Sessions.

Step 2: Monitor Progress

Execution pattern (required):

  • Run the Step 1 start command in background and note the EXCEL_LOG path from the output.
  • Then execute the Step 2 monitor command separately every 60 seconds (do not use a while loop).
  • $EXCEL_LOG does not persist between exec calls — Step 2 MUST recover the path (see monitor command below).

Rules — no exceptions:

  • Poll every 60 seconds by calling exec tool repeatedly. Do NOT use a while loop.
  • Show only the last TASK PROGRESS UPDATE block. Do not output full log (tail -50, etc.) or summarize/interpret it.
  • Never restart the task. The agent handles errors internally and auto-recovers.
  • Ignore transient errors in the log (, Missing parameter, heartbeat pings, etc.) — the agent retries automatically.
  • Use heartbeat as liveness signal: check heartbeat lines every poll to confirm the task is still running, but do NOT output raw heartbeat lines to the user.

Every 60 seconds, run:

# Recover log path: use the path printed by Step 1, or find the most recent log
EXCEL_LOG=$(ls -t /tmp/excel_*.log 2>/dev/null | head -1)
if [ -z "$EXCEL_LOG" ] || [ ! -f "$EXCEL_LOG" ]; then
  echo "ERROR: Log not found. Ensure Step 1 ran with --log-path."; exit 1
fi
sleep 60
echo "=== Progress Update ==="
grep -A8 "TASK PROGRESS UPDATE" "$EXCEL_LOG" | tail -10
grep -E "\[HEARTBEAT\]" "$EXCEL_LOG" | tail -1
grep -E "\[DONE\]|All done" "$EXCEL_LOG" | tail -1

What to report to user

CRITICAL: Output ONLY the current status. Do NOT repeat or accumulate previous status messages. Each update should be a single, fresh line.

After each log read, output ONLY ONE LINE showing the current status:

[Main stage] | [current action] | Elapsed: Xs

Example (output only this single line, nothing else):

Data Processing | Generating charts | Elapsed: 120s
Progress containsMain stage
"读取" / "read" / "load"Loading data
"分析" / "analysis"Data analysis
"图表" / "chart" / "visualization"Generating charts
"Excel" / "xlsx"Creating Excel file
"HTML" / "报告" / "report"Generating report
"保存" / "save" / "output"Saving output

Stop polling when log contains [DONE] or ✅ All done! → read final output:

tail -30 "$EXCEL_LOG"
  • If NOT done → report progress to user, then call exec again after 60 seconds with the same monitor command.
  • Repeat until done — keep calling exec every 60 seconds until [DONE] or All done appears.
  • Do NOT stop after a single poll.

Step 3: Deliver Result

After completion, provide the user with both:

  • OSS download URL — cloud link for sharing (show as a clickable hyperlink)
  • Local file path — absolute path on their machine

Example reply:

✅ Report generated!

📥 Download: https://picture-search.skywork.ai/skills/upload/2026-03-14/xxx.xlsx
💾 Local: /Users/xxx/.openclaw/workspace/report.xlsx

Do NOT use sandbox:// or [filename](sandbox://...) format — these are not clickable. If oss_url is unavailable, provide the local path only.


Multi-Turn Sessions

To continue a previous task, use --session with the ID printed at the end of the previous run:

# First turn — no --session needed; session ID is printed at end
python3 scripts/excel_api_client.py "Create a sales report" \
  --language zh-CN --log-path "$EXCEL_LOG" > /dev/null 2>&1 &
# Output: 💡 To continue this conversation, use: --session abc123def456

# Follow-up turn — add --session
python3 scripts/excel_api_client.py "Add a pie chart" \
  --session abc123def456 \
  --language zh-CN --log-path "$EXCEL_LOG" > /dev/null 2>&1 &

When to use --session: User says "continue", "modify", "add a chart", "change colors", "based on the previous...", or references prior output.

⛔ Without --session, the agent starts fresh and loses all previous context.


Error Handling

ErrorSolution
Unauthorized (401)SKYWORK_API_KEY is missing, invalid, or expired — set or rotate the key in OpenClaw skill env
Connection timeoutUse --timeout 1500 for complex tasks (default: 900s)
Agent produces wrong outputBe more specific; use multi-turn to refine iteratively
Insufficient benefitSee below

When benefit is insufficient

Script output may show: Insufficient benefit. Please upgrade your account at {url}

Reply in the user's language:

  • Convey: "Sorry, Excel/report generation failed. This skill requires upgrading your Skywork membership."
  • Format: One short sentence + [Upgrade now →](url) (or equivalent in user's language)
  • URL: Extract from the at https://... part of the log output

Security Notes

  • Never commit SKYWORK_API_KEY to version control
  • Set the key in OpenClaw skill env or as an environment variable
  • Tokens expire — the client will auto-refresh when needed

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

81.24%
按下载量换算13,029

安全审计

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通过

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通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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