Individual skill
sn-da-large-file-analysis
万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。
skills/sn-da-large-file-analysis/SKILL.md
Source commit 004a2426fa092097d65ac9233ca0bcb2be793f57
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 6,056
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-assistant Repository topic
- data-analysis Repository topic
- document-processing Repository topic
- office-automation Repository topic
- presentation-slides Repository topic
- operations Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Large Scale Excel Analysis Skill
## Mandatory Rules
> **When total rows >= 10,000, you MUST use the methods in this skill.**
| Data Scale | Read Strategy | Reason |
|-----------|---------------|--------|
| < 10k rows | `pd.read_excel()` directly | No memory pressure |
| 10k–100k rows | `pd.read_excel()` → convert to Parquet → `pd.read_parquet()` for analysis | Avoid repeated slow reads |
| 100k–1M rows | **openpyxl `read_only` + `iter_rows` streaming** → Parquet | `pd.read_excel()` will OOM or timeout |
| > 1M rows | Streaming read + **multi-sheet split** (Excel max 1,048,576 rows per sheet) | Must chunk |
**Prohibited:**