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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

27,829

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下载量

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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

unknown

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/skyworkai/skywork-skills
仓库路径:skills/skywork-excel
安装命令:
npx skills add https://github.com/skyworkai/skywork-skills --skill '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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/skyworkai/skywork-skills --skill 'Skywork Excel'

简介

skywork-excel 用于辅助数据整理、表格处理和指标计算。

  • 适合让 Agent 清洗字段、汇总数据或生成统计口径。
  • 使用时需确认数据来源、字段含义和时间范围,避免误用样本当全量。
  • 涉及敏感数据或批量写回时应先确认脱敏和权限边界。skywork-excel 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适用于 CSV/Excel 分析和图表准备场景。

SKILL.md

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 in OpenClaw.

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

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.35%
按下载量换算1,463

Claude

30.37%
按下载量换算1,333

Cursor

18.13%
按下载量换算796

Gemini CLI

8.22%
按下载量换算361

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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