Agent Skills
› opensquilla/opensquilla
› meta-spreadsheet-insight
meta-spreadsheet-insight
GitHub自动读取Excel工作簿，执行趋势与异常分析，将结果写入新Sheet并持久化关键KPI到内存。
Trigger Scenarios
需要分析Excel数据趋势或异常
需从电子表格提取并存储业务指标
Install
npx skills add opensquilla/opensquilla --skill meta-spreadsheet-insight -g -y
SKILL.md
Frontmatter
{
"kind": "meta",
"name": "meta-spreadsheet-insight",
"always": false,
"triggers": [
"spreadsheet insight",
"excel 分析",
"xlsx 洞察",
"数据复盘"
],
"provenance": {
"origin": "opensquilla-original",
"license": "Apache-2.0"
},
"composition": {
"steps": [
{
"id": "read",
"with": {
"task": "Inspect the spreadsheet referenced in this user request and return all sheets' data: {{ inputs.user_message | xml_escape | truncate(512) }}"
},
"skill": "xlsx"
},
{
"id": "analyze",
"with": {
"text": "{{ outputs.read }}",
"style": "trend_analysis",
"max_words": 1000
},
"skill": "summarize",
"depends_on": [
"read"
]
},
{
"id": "writeback",
"with": {
"task": "Append a new 'Insights' sheet to the workbook with the following analysis: {{ outputs.analyze }}"
},
"skill": "xlsx",
"depends_on": [
"analyze"
]
},
{
"id": "memorize",
"kind": "tool_call",
"tool": "memory_save",
"tool_args": {
"mode": "append",
"path": "memory\/spreadsheet-kpi.md",
"content": "{{ outputs.analyze }}"
},
"depends_on": [
"analyze"
],
"tool_allowlist": [
"memory_save"
]
}
]
},
"description": "Turn an Excel workbook into business insight: structured read → trend\/anomaly summary → write back to a new 'Insights' sheet → persist KPIs to memory.",
"meta_priority": 55
}
Spreadsheet Insight (Meta-Skill)
Reads a workbook, computes a structured trend / anomaly analysis, writes the result back as a new sheet, and persists key KPIs to long-term memory.
Fallback
LLM should call xlsx read, summarize, xlsx append, then memory_save.
Version History
- 7f72a32 Current 2026-07-05 18:41
