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Skywork Excel

skyworkai/skywork-skills
168 stars
Summary

A spreadsheet powerhouse that does more than you'd expect. It generates Excel files from scratch with formulas, charts, and pivot tables, but also pulls live data directly from the web without needing separate search tools. You can throw CSV, PDF, or even images at it and get structured tables back. The workflow runs async in the background since tasks can take 5-25 minutes, and you poll a log file every 60 seconds to track progress. It supports multi-turn sessions so you can iterate on the same workbook. One quirk: you must pass user queries verbatim to the backend without rewording them. The skill handles financial modeling, data cleaning, and format conversion, and it works in 16 languages. Requires a Skywork API key.

Install to Claude Code

npx -y skills add skyworkai/skywork-skills --skill "Skywork Excel" --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

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.xlsx → report.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
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First SeenJun 3, 2026
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