Doc — Professional Document Generator

Generate professional, beautifully formatted documents by calling the Skywork Office Doc API.

Authentication (Required First)

Before using this skill, authentication must be completed. Run the auth script first:

# Authenticate: checks env token / cached token / browser login
python3 <skill-dir>/scripts/skywork_auth.py || exit 1

Token priority:

1. Environment variable SKYBOT_TOKEN → if set, use directly
2. Cached token file ~/.skywork_token → validate via API, if valid, use it
3. No valid token → opens browser for login, polls until complete, saves token

IMPORTANT - Login URL handling: If script output contains a line starting with [LOGIN_URL], you MUST immediately send that URL to the user in a clickable message (e.g. "Please open this link to log in: <url>"). The user may be in an environment where the browser cannot open automatically, so always surface the login URL.

Workflow

Step 0: Intent Recognition (CRITICAL - Do This First)

Before calling any script, analyze the user's request and determine:

1. Does the user provide reference files, or imply that certain files are needed to proceed with the writing task?

   • Look for file paths, attachments, or mentions like "based on this PDF", "use the uploaded document". If you gathered info beforehand (e.g., web search, other tools) that would help the writing task, save it to disk as files and pass them as reference files in Step 1.
   • If YES: find/extract file paths → proceed to Step 1
   • If NO: skip to Step 2

2. What language should the output be in?

   • Analyze the user's request language or explicit requirement. If unspecified, infer from the user's language or the language used in uploaded files.
   • Set --language parameter: English, 中文简体, etc.
   • Default: English

3. What format does the user want?

   • Look for keywords: "Word document" → docx, "PDF" → pdf, "HTML" → html, "Markdown" → md
   • Default if not specified: docx
   • Supported formats: docx, pdf, html, md

4. How to write the content prompt?

   • The --content parameter is like a rewrite query
   • Synthesize user's requirements (possibly from multiple conversation turns)
   • Be specific: describe structure, sections, tone, key points. Avoid being overly verbose or straying far from the user's original requirements; stay close to their intent to ensure accuracy.

Step 1: Parse Reference Files (If User Provides Files)

IMPORTANT:

• parse_file.py processes one file at a time. For multiple files, call it multiple times.
• Quote any file path that contains spaces so arguments are passed correctly.
• Parse all reference material the user needs for the writing task as files. If a file was already parsed earlier in the session, skip re-parsing and reuse its file_id.

Single file:

python3 <skill-dir>/scripts/parse_file.py /path/to/reference.pdf

Multiple files (call the script once for each file; you can run these in parallel to speed things up):

# Parse file 1
python3 <skill-dir>/scripts/parse_file.py /path/to/file1.pdf

# Parse file 2
python3 <skill-dir>/scripts/parse_file.py /path/to/file2.xlsx

# Parse file 3
python3 <skill-dir>/scripts/parse_file.py "/path/to/file3 with blank in it.docx"

Each script call outputs:

[parse] File: reference.pdf (2,458,123 bytes)
...
[success] File parsed!
  File ID:    2032146192467681280
  ...
PARSED_FILE: {"file_id":"2032146192467681280","filename":"reference.pdf","url":""}

Extract all PARSED_FILE outputs and collect them into a JSON array:

[
  {"file_id":"2032146192467681280","filename":"file1.pdf","url":""},
  {"file_id":"2032146192467681281","filename":"file2.xlsx","url":""},
  {"file_id":"2032146192467681282","filename":"file3.docx","url":""}
]

This array will be passed to create_doc.py via the --files parameter below.

Step 2: Create Document

Without reference files:

python3 <skill-dir>/scripts/create_doc.py \
  --title "Document_Title" \
  --content "Detailed content prompt based on user requirements..." \
  --language English \
  --format docx

With reference files (use the collected file_ids from Step 1):

python3 <skill-dir>/scripts/create_doc.py \
  --title "Analysis_Report" \
  --content "Based on the uploaded reference files, create a comprehensive analysis report..." \
  --files '[{"file_id":"id1","filename":"file1.pdf","url":""},{"file_id":"id2","filename":"file2.xlsx","url":""}]' \
  --language English \
  --format docx

The title field should not contain spaces.

Output:

[doc] Creating document: "Analysis Report"
...
[success] Document created!
  File ID:   abc-123
  Path:      /output/doc/some_file.html
  URL:       https://...
  Time:      15.2s

Step 3: Deliver Result

After create_doc.py finishes, parse the final JSON output. It contains two ways for the user to access the document — always provide both:

• file_url — the remote download link (cloud URL). Include it as a clickable hyperlink so the user can open it in a browser or share it.
• file_path — the absolute local path where the file was automatically downloaded on their machine. Mention this path explicitly so the user can find the file right away without manual downloading.

Example reply (adapt wording to user's language):

The document is ready!

• Download link: 巴西电网行业及充电桩市场调研报告.docx
• Local file: /Users/alice/Downloads/巴西电网行业及充电桩市场调研报告.docx

If file_path is empty (download failed), still provide file_url and inform the user they can download manually.

Script Parameters

parse_file.py

• file - Path to the reference file (required)
• --json - Output full result as JSON (optional)

Key Output: PARSED_FILE: <json> — extract this for Step 2

create_doc.py

• --title - Document title (required)
• --content - Content prompt describing what to write (required)
  • This is like a rewrite query — synthesize user's requirements
  • Be specific about structure, sections, tone, key points
• --files - JSON array of file objects from parse_file.py (optional)
  • Format: [{"file_id":"xxx","filename":"yyy","url":""}]
• --language - Output language (optional, default: English)
  • Examples: English, 中文简体, 中文繁體, 日本語, 한국어, Français, Deutsch, Español, ...
• --format - Output format (optional, default: docx)
  • Supported: docx, pdf, html, md

Important Notes

1. Intent Recognition First - Always analyze the user's request before calling scripts.
2. Web Search Built-In - The Doc API automatically performs web searches on demand to gather relevant content for document creation. Whether you pre-search for materials externally or not is entirely optional—either approach works fine.
3. File ID is the Bridge - parse_file.py outputs file_id → pass to create_doc.py via --files.
4. Server Fetches Content - No need to paste parsed_content manually; the server retrieves it using file_id.
5. Content is Rewrite Query - Synthesize the user's requirements into a clear, detailed prompt. Even when the user's instructions are long or complex, capture every requirement—don't omit anything.
6. Generation Takes Time - Document generation typically takes 5-10 minutes, sometimes longer for complex documents.
7. Scripts Wait Automatically - create_doc.py uses SSE (Server-Sent Events) to maintain a long connection and receives real-time progress updates. The script will automatically wait up to 3~10 minutes for completion. No manual polling needed - just wait for the script to finish and it will output the result.
8. Progress Display - The script shows a real-time progress bar during generation. The AI agent should relay this to the user to set expectations.
9. **Final Document