Agent skill

Sn Da Non Spreadsheet Analysis

by OpenSenseNova in OpenSenseNova/SenseNova-Skills

Word / PDF / PPT 文档解析与数据分析引擎。覆盖三类文件格式的全量提取、表格数值化、图表理解与跨文档汇总分析。遇到以下任一情况就主动使用本 skill：①用户上传或指定了 .docx / .doc / .pdf / .pptx / .ppt 文件并要求分析、提取或统计其中内容；②用户出现触发词：Word分析 / PDF解析 / PPT提取 / 文档分析 / 报告解析 /…

MITAuto-check passedDocuments & Office

Install Sn Da Non Spreadsheet Analysis

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .claude/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .claude/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .agents/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .agents/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .cursor/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .cursor/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/OpenSenseNova/SenseNova-Skills.git --path skills/sn-da-non-spreadsheet-analysis

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .gemini/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .gemini/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .github/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .github/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-da-non-spreadsheet-analysis --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-da-non-spreadsheet-analysis .opencode/skills/sn-da-non-spreadsheet-analysis && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "sn-da-non-spreadsheet-analysis" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-non-spreadsheet-analysis into .opencode/skills/sn-da-non-spreadsheet-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-da-non-spreadsheet-analysis", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: sn-da-non-spreadsheet-analysis
GitHub stars: 5.7k
Token cost: ~1.2k tokens
SKILL.md length: 312 words
Files: 2
Skills in repo: 36
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 4 steps: Identify file type and input scope → Load sub-skill by format → Parse and extract → …
Tasks that involve Excel spreadsheets
SKILL.md covers Workflow, Universal Rules, Caption Script (for… and Available sub-skills
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sn Da Non Spreadsheet Analysis is an agent skill from OpenSenseNova/SenseNova-Skills. Word / PDF / PPT 文档解析与数据分析引擎。覆盖三类文件格式的全量提取、表格数值化、图表理解与跨文档汇总分析。遇到以下任一情况就主动使用本 skill：①用户上传或指定了 .docx / .doc / .pdf / .pptx / .ppt 文件并要求分析、提取或统计其中内容；②用户出现触发词：Word分析 / PDF解析 / PPT提取 / 文档分析 / 报告解析 / 幻灯片分析 / 发票提取 / 合同分析 / 文档统计 / 错别字 / 语病 / 字号检查 / 简历分析 / 多文档对比；③任务涉及从文档中提取表格、数值、图表、格式（颜色/高亮/字号）、组织架构、时间线等结构化信息。仅不用于：Excel/CSV 数据分析（使用 sn-da-excel-workflow）、纯图片分析（使用 sn-da-image-caption）。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Documents & Office, covering Excel spreadsheets, PowerPoint presentations and PDF. It works with Microsoft Excel, Microsoft PowerPoint and Microsoft Word. The repository describes itself as: Modular SenseNova skills for building AI-powered office assistants and productivity workflows. The licence is MIT.

When your agent uses it

Tasks that involve Excel spreadsheets
Tasks that involve PowerPoint presentations
Tasks that involve PDF

Example prompts

“/sn-da-non-spreadsheet-analysis”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Identify file type and input scope
Load sub-skill by format
Parse and extract
Answer with verification

What it can do on your machine

Read from SKILL.md and the folder at commit 7838651. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sn Da Non Spreadsheet Analysis loads about 1.2k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 312 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~103
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OpenSenseNova/SenseNova-Skills at commit 7838651, republished under its MIT licence (© OpenSenseNova). 312 words, ~1,207 tokens.

Download SKILL.mdSave it as .claude/skills/sn-da-non-spreadsheet-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: sn-da-non-spreadsheet-analysis
description: Word / PDF / PPT 文档解析与数据分析引擎。覆盖三类文件格式的全量提取、表格数值化、图表理解与跨文档汇总分析。**遇到以下任一情况就主动使用本 skill**：①用户上传或指定了 .docx / .doc / .pdf / .pptx / .ppt 文件并要求分析、提取或统计其中内容；②用户出现触发词：Word分析 / PDF解析 / PPT提取 / 文档分析 / 报告解析 / 幻灯片分析 / 发票提取 / 合同分析 / 文档统计 / 错别字 / 语病 / 字号检查 / 简历分析 / 多文档对比；③任务涉及从文档中提取表格、数值、图表、格式（颜色/高亮/字号）、组织架构、时间线等结构化信息。仅不用于：Excel/CSV 数据分析（使用 sn-da-excel-workflow）、纯图片分析（使用 sn-da-image-caption）。

Document Analysis Skill — Word / PDF / PPT

End-to-end workflow for Word, PDF, and PPT document parsing. Each format has specific parsing pitfalls — follow the format-specific sub-skill exactly.

Workflow

Step 0 — Identify file type and input scope

python

import os

input_path = "/mnt/data/..."  # from user

# Detect single file vs directory (multi-file scenario)
if os.path.isdir(input_path):
    all_files = [
        os.path.join(input_path, f)
        for f in os.listdir(input_path)
        if f.lower().endswith(('.docx', '.doc', '.pdf', '.pptx', '.ppt'))
    ]
    print(f"Found {len(all_files)} documents: {all_files}")
else:
    all_files = [input_path]

# Route by extension
ext = os.path.splitext(all_files[0])[-1].lower()
print(f"File type: {ext}")

Critical rule: When input_path is a directory OR the user says "这些文件" / "所有文档", process every file and aggregate. Never stop at the first file.

Step 1 — Load sub-skill by format

Extension	Sub-skill to load
`.docx` / `.doc`	`capability/word-analysis/SKILL.md`
`.pdf`	`capability/pdf-analysis/SKILL.md`
`.pptx` / `.ppt`	`capability/ppt-analysis/SKILL.md`

read_file(path="<skills_root>/sn-da-non-spreadsheet-analysis/capability/<format>-analysis/SKILL.md")

Load only the sub-skill you need — do not load all three at once.

Step 2 — Parse and extract

Follow the sub-skill's extraction pattern. For all formats:

Full scan: iterate all pages/slides/paragraphs — never stop early
Table extraction: get every table, not just the first one
Image/chart detection: if a page/slide yields no text, treat it as image-based and call caption.py

Step 3 — Answer with verification

After extracting data, verify before answering:

python

# For count/statistics questions: spot-check 3-5 items
sample = result_list[:3]
print(f"Sample check: {sample}")
print(f"Total count: {len(result_list)}")

# For numeric calculations: print intermediate values
print(f"Max={max_val}, Min={min_val}, Range={max_val - min_val}")

# For unit-sensitive answers: always include the unit
print(f"Answer: {value} {unit}")  # e.g., "475 千港元" not just "475"

Universal Rules

MUST DO

Always iterate all pages/slides/paragraphs — for page in doc, for slide in prs.slides, for para in doc.paragraphs
When input is a directory: collect and process all matching files, then aggregate results
For scanned PDFs: detect empty text → call caption.py for OCR
For image-only slides: text extraction returns empty → render slide as PNG → call caption.py
For calculations: show intermediate values; confirm unit matches the question

NEVER DO

Do NOT use pytesseract or easyocr as primary OCR — they are not installed; use caption.py
Do NOT use PIL pixel analysis to infer chart values — use vision model caption instead
Do NOT stop at the first file, first page, or first table
Do NOT guess content from filenames — always parse the actual file
Do NOT output percentage when the question asks for absolute value (and vice versa)

Caption Script (for image/chart content in any document)

When a page, slide, or embedded image needs vision understanding, load the sn-da-image-caption skill first, then use its scripts/caption.py:

read_file(path="<skills_root>/sn-da-image-caption/SKILL.md")

python

import subprocess, json

CAPTION = "/path/to/skills/sn-da-image-caption/scripts/caption.py"

def caption_image(image_path, prompt=None):
    cmd = ["python3", CAPTION, image_path, "--json"]
    if prompt:
        cmd += ["--prompt", prompt]
    result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
    if result.returncode != 0:
        raise RuntimeError(f"caption failed: {result.stderr[:200]}")
    return json.loads(result.stdout)["description"]

# Example prompts by content type:
# Table:  "提取表格所有内容，Markdown 表格格式，保持行列结构，数值不四舍五入。"
# Chart:  "提取图表标题、坐标轴标签、每个数据点的数值。Markdown 表格输出。"
# Diagram: "描述所有节点和连接关系。"

Available sub-skills

sn-da-non-spreadsheet-analysis/capability/word-analysis/SKILL.md   — .docx/.doc
sn-da-non-spreadsheet-analysis/capability/pdf-analysis/SKILL.md    — .pdf
sn-da-non-spreadsheet-analysis/capability/ppt-analysis/SKILL.md    — .pptx/.ppt

Files

SKILL.md and 1 other file in skills/sn-da-non-spreadsheet-analysis of OpenSenseNova/SenseNova-Skills.

SKILL.md
capability

Open the folder on GitHubat commit 7838651

Compare with similar skills

Sn Da Non Spreadsheet Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sn Da Non Spreadsheet Analysis compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sn Da Non Spreadsheet Analysis this skillOpenSenseNova/SenseNova-Skills	5.7k	—	~1.2k	Automated safety check: Pass	MIT	today
Anydocmagnus919/agent-skills	116	—	~3.8k	Automated safety check: Notes	MIT	yesterday
Documentszhongkaifu/TensorSharp	559	—	~4.2k	Automated safety check: Pass	BSD-3-Clause	today
Office ArtifactsPrismer-AI/PrismerCloud	1.6k	—	~2.6k	Automated safety check: Pass	MIT	9 days ago
MarkitdownImCa0/just-laws	782	14 repos	~3.2k	Automated safety check: Notes	MIT	2 days ago
Markitdownjimmc414/Kosmos	595	2 repos	~1.7k	Automated safety check: Pass	None	today

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Questions about Sn Da Non Spreadsheet Analysis

What does Sn Da Non Spreadsheet Analysis do?

When should I use Sn Da Non Spreadsheet Analysis?

Sn Da Non Spreadsheet Analysis fits situations like: tasks that involve Excel spreadsheets; tasks that involve PowerPoint presentations; tasks that involve PDF.

How do I install Sn Da Non Spreadsheet Analysis in Claude Code?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a claude-code`. Or copy the skill folder (skills/sn-da-non-spreadsheet-analysis in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-da-non-spreadsheet-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Sn Da Non Spreadsheet Analysis in Codex?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a codex`. Or copy the skill folder (skills/sn-da-non-spreadsheet-analysis in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-da-non-spreadsheet-analysis in your project. Codex loads it when a task matches its description.

Can I use Sn Da Non Spreadsheet Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-da-non-spreadsheet-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-da-non-spreadsheet-analysis, .gemini/skills/sn-da-non-spreadsheet-analysis, .github/skills/sn-da-non-spreadsheet-analysis and .opencode/skills/sn-da-non-spreadsheet-analysis in your project.

What does Sn Da Non Spreadsheet Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Sn Da Non Spreadsheet Analysis is instructions for the agent only. Our summary lists: Python 3.

Does Sn Da Non Spreadsheet Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sn Da Non Spreadsheet Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sn Da Non Spreadsheet Analysis use?

Sn Da Non Spreadsheet Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sn Da Non Spreadsheet Analysis use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sn Da Non Spreadsheet Analysis?

Skills that share tags, products or a category with Sn Da Non Spreadsheet Analysis: Anydoc (magnus919/agent-skills, 116 stars), Documents (zhongkaifu/TensorSharp, 559 stars), Office Artifacts (Prismer-AI/PrismerCloud, 1.6k stars) and Markitdown (ImCa0/just-laws, 782 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sn Da Non Spreadsheet Analysis?

OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,747 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.

Source: OpenSenseNova/SenseNova-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Sn Da Non Spreadsheet Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Document Analysis Skill — Word / PDF / PPT

Workflow

Step 0 — Identify file type and input scope

Step 1 — Load sub-skill by format

Step 2 — Parse and extract

Step 3 — Answer with verification

Universal Rules

MUST DO

NEVER DO

Caption Script (for image/chart content in any document)

Available sub-skills

Files

Compare with similar skills

Similar skills

More from OpenSenseNova/SenseNova-Skills

Related

Questions about Sn Da Non Spreadsheet Analysis