{"id":"d692532a-aa2f-4537-8040-5cebd61c144d","entityType":"agent","slug":"clawhub-dashiming-pans-excel","name":"Pans Excel","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dashiming-pans-excel","canonicalPath":"/agent/clawhub-dashiming-pans-excel","generatedAt":"2026-10-10T22:47:00.115Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T20:34:46.950Z","emptyReason":null},"description":"全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... Skill: Pans Excel Owner: dashiming Summary: 全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... 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处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对...\n\nTags: latest:1.2.0\n\nVersion history:\n\nv1.2.0 | 2026-04-17T14:43:14.286Z | auto\n\nVersion 1.2.0\n\n- Updated scripts/excel.py with new changes.\n- No changes to user-facing documentation or commands.\n\nv1.1.0 | 2026-04-17T14:31:42.168Z | auto\n\nPansExcel Pro Max 1.1.0 introduces major new features and more templates.\n\n- 新增数据验证（下拉、数值、日期、长度）与数据清洗、分列命令\n- 增加 CSV/JSON 导入导出、直接导出 PDF\n- 报表模板扩展至7种，包括日报、周报\n- 图表和条件格式种类扩展至7种（含散点图、图标集等）\n- 命令支持更完整，一键格式美化，增强 AI 智能分析与洞察\n- 文档结构和使用说明全面升级，覆盖更多使用场景\n\nv1.0.0 | 2026-04-17T14:20:53.367Z | auto\n\n- 首个版本发布，pans-excel 全面上线。\n- 提供一站式 Excel 智能处理，覆盖数据分析、图表可视化、报表模板等多场景。\n- 支持销售看板、财务三表、甘特图、对账清单等多种报表类型自动生成。\n- 集成 AI 智能公式/数据洞察、报表美化、条件格式、文件合并等核心功能。\n- 丰富命令行工具，低门槛操作 Excel 各类高级任务。\n\nArchive index:\n\nArchive v1.2.0: 5 files, 26993 bytes\n\nFiles: scripts/__init__.py (20b), scripts/excel.py (90728b), skill-card.md (2170b), SKILL.md (5966b), _meta.json (129b)\n\nFile v1.2.0:SKILL.md\n\n---\nname: pans-excel\ndescription: |\n  全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。\n  触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对账清单, CSV导入, JSON导出, PDF导出, 数据清洗\n---\n\n# PansExcel Pro Max\n\n## 命令速查\n\n| 命令 | 功能 |\n|------|------|\n| `create` | 从数据创建 Excel |\n| `report` | 生成专业报表（7种模板） |\n| `analyze` | AI 智能分析数据 |\n| `formula` | 自然语言生成公式 |\n| `chart` | 添加图表（7种） |\n| `format` | 一键美化 |\n| `cond` | 条件格式（7种） |\n| `dv` | 数据验证（下拉/数字/日期/文本长度） |\n| `clean` | 数据清洗管道 |\n| `split` | 分列（按分隔符） |\n| `import` | CSV/JSON → XLSX |\n| `export` | XLSX → CSV/JSON/PDF |\n| `pdf` | 直接导出 PDF |\n| `merge` | 合并多个 Excel |\n| `insights` | AI 数据洞察 |\n\n---\n\n## create - 创建 Excel\n\n```bash\npython3 scripts/excel.py create -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[125,98],\"利润\":[31,20]}' -o out.xlsx\n```\n\n## report - 报表模板（7种）\n\n```bash\n# 销售看板 - KPI卡片+柱状图+饼图\npython3 scripts/excel.py report -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200],\"利润\":[30,50]}' -t sales -o 看板.xlsx\n\n# 财务报表\npython3 scripts/excel.py report -d '{\"项目\":[\"收入\",\"成本\",\"利润\"],\"Q1\":[100,60,40],\"Q2\":[120,70,50]}' -t financial -o 财务.xlsx\n\n# 项目甘特图（颜色随进度变化）\npython3 scripts/excel.py report -d '{\"项目\":[\"A项目\",\"B项目\"],\"进度\":[80,50],\"负责人\":[\"张三\",\"李四\"]}' -t gantt -o 项目.xlsx\n\n# 对账清单（正负自动标色）\npython3 scripts/excel.py report -d '{\"合同\":[\"甲\",\"乙\"],\"预算\":[100,200],\"实际\":[110,190],\"差异\":[10,-10]}' -t recon -o 对账.xlsx\n\n# 日报（状态自动标色）\npython3 scripts/excel.py report -d '{\"事项\":[\"需求\",\"开发\"],\"负责人\":[\"张三\"],\"状态\":[\"完成\",\"进行中\"]}' -t daily -o 日报.xlsx\n\n# 周报\npython3 scripts/excel.py report -d '{\"日期\":[\"周一\",\"周二\"],\"完成任务\":[3,5],\"进行中\":[2,1]}' -t weekly -o 周报.xlsx\n```\n\n## chart - 图表（7种）\n\n```bash\npython3 scripts/excel.py chart -f data.xlsx -t bar -T \"销售对比\" -p F2   # 柱状图\npython3 scripts/excel.py chart -f data.xlsx -t line -T \"趋势\" -p F2       # 折线图\npython3 scripts/excel.py chart -f data.xlsx -t pie -T \"占比\"                # 饼图\npython3 scripts/excel.py chart -f data.xlsx -t area -T \"堆积\"                # 面积图\npython3 scripts/excel.py chart -f data.xlsx -t radar -T \"能力图\"            # 雷达图\npython3 scripts/excel.py chart -f data.xlsx -t combo -T \"组合\"              # 组合图\npython3 scripts/excel.py chart -f data.xlsx -t scatter -T \"分布\"            # 散点图\n```\n\n## cond - 条件格式（7种）\n\n```bash\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale  # 三色热力图\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar      # 数据条\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t icon    # 图标集\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top     # Top N 高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg     # 高于平均\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t gt -v 0  # 大于0标绿\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t lt -v 0 # 小于0标红\n```\n\n## dv - 数据验证\n\n```bash\n# 下拉菜单\npython3 scripts/excel.py dv -f data.xlsx -c 3 -t list -o \"优,良,差\"\n\n# 数字范围（0-100）\npython3 scripts/excel.py dv -f data.xlsx -c 4 -t number --min 0 --max 100\n\n# 日期验证\npython3 scripts/excel.py dv -f data.xlsx -c 5 -t date\n\n# 文本长度限制\npython3 scripts/excel.py dv -f data.xlsx -c 2 -t length --min-len 1 --max-len 50\n```\n\n## clean - 数据清洗\n\n```bash\n# 清洗管道：去重 → 填空 → 去首尾空格\npython3 scripts/excel.py clean -f data.xlsx -s \"dedup,blanks,trim\"\n\n# 转换为小写\npython3 scripts/excel.py clean -f data.xlsx -s \"lower\"\n\n# 数字清洗（文本→数字）\npython3 scripts/excel.py clean -f data.xlsx -s \"number\"\n```\n\n## split - 分列\n\n```bash\n# 按逗号分列\npython3 scripts/excel.py split -f data.xlsx -c 1 -d \",\" -o split.xlsx\n\n# 按空格分列\npython3 scripts/excel.py split -f data.xlsx -c 2 -d \" \" -o split.xlsx\n```\n\n## import / export - 格式转换\n\n```bash\n# CSV → Excel\npython3 scripts/excel.py import -f data.csv -t xlsx -o out.xlsx\n\n# JSON → Excel\npython3 scripts/excel.py import -f data.json -t xlsx -o out.xlsx\n\n# Excel → CSV\npython3 scripts/excel.py export -f data.xlsx -t csv -o out.csv\n\n# Excel → JSON\npython3 scripts/excel.py export -f data.xlsx -t json -o out.json\n\n# Excel → PDF（需安装 LibreOffice）\npython3 scripts/excel.py pdf -f data.xlsx -o out.pdf\n```\n\n## merge - 合并文件\n\n```bash\npython3 scripts/excel.py merge -f a.xlsx b.xlsx c.xlsx -o merged.xlsx -k 1\n```\n\n## analyze / insights - AI 分析\n\n```bash\n# 完整分析\npython3 scripts/excel.py analyze -f data.xlsx\n\n# 仅洞察\npython3 scripts/excel.py insights -f data.xlsx\n```\n\n## formula - 公式生成\n\n```bash\npython3 scripts/excel.py formula --描述 \"计算毛利率\" -c \"利润,销售额\"\npython3 scripts/excel.py formula --描述 \"统计大于1000的数量\"\npython3 scripts/excel.py formula --描述 \"同比增长率\"\npython3 scripts/excel.py formula --描述 \"IF条件\"\n```\n\n## 视觉设计\n\n| 元素 | 设计 |\n|------|------|\n| 主色调 | 现代蓝 #2E5BFF |\n| 配色系 | 蓝/绿/橙/红/紫 5色循环 |\n| 交替行 | 浅灰 #F8FAFC / 白色 |\n| 图表 | 渐变配色 + 精细边框 |\n| 字体 | 微软雅黑 |\n\n## 数据格式\n\n| 类型 | Excel 格式 |\n|------|-----------|\n| 金额 | ¥#,##0.00 |\n| 百分比 | 0.00% |\n| 数字 | #,##0 |\n| 日期 | YYYY-MM-DD |\n\nFile v1.2.0:_meta.json\n\n{\n  \"ownerId\": \"kn745ccdc5q5v4b5h89161d1ks82vz9w\",\n  \"slug\": \"pans-excel\",\n  \"version\": \"1.2.0\",\n  \"publishedAt\": 1776436994286\n}\n\nFile v1.2.0:skill-card.md\n\n## Description:\n\nPans Excel helps agents create, format, analyze, convert, and export Excel workbooks with charts, report templates, data validation, data cleaning, and CSV, JSON, and PDF workflows.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dashiming](https://clawhub.ai/user/dashiming)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and agent users use this skill to generate and modify Excel workbooks, build business reports, add charts and validation, clean tabular data, and convert between XLSX, CSV, JSON, and PDF.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The bundled Excel script can evaluate spreadsheet data input as Python code when JSON parsing fails.\n\nMitigation: Install only if the publisher is trusted, restrict how commands are invoked, and do not pass untrusted --data values.\n\nRisk: Imported CSV or JSON data may contain spreadsheet formulas or other attacker-controlled cell content.\n\nMitigation: Avoid importing attacker-supplied CSV or JSON unless formula-like values are sanitized before conversion.\n\nRisk: Formatting, charting, cleaning, validation, and autofmt commands can overwrite an existing workbook when no output path is provided.\n\nMitigation: Provide an explicit output path or work on a copy when modifying workbooks.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dashiming/skills/pans-excel)\n\n## Skill Output:\n\n**Output Type(s):** [text, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with inline shell commands plus JSON or text command output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Commands may create, modify, convert, or overwrite XLSX, CSV, JSON, and PDF files depending on output-path options.]\n\n## Skill Version(s):\n\n1.2.0 (source: server release metadata and target metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.1.0: 4 files, 14839 bytes\n\nFiles: scripts/__init__.py (20b), scripts/excel.py (48328b), SKILL.md (5966b), _meta.json (129b)\n\nFile v1.1.0:SKILL.md\n\n---\nname: pans-excel\ndescription: |\n  全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。\n  触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对账清单, CSV导入, JSON导出, PDF导出, 数据清洗\n---\n\n# PansExcel Pro Max\n\n## 命令速查\n\n| 命令 | 功能 |\n|------|------|\n| `create` | 从数据创建 Excel |\n| `report` | 生成专业报表（7种模板） |\n| `analyze` | AI 智能分析数据 |\n| `formula` | 自然语言生成公式 |\n| `chart` | 添加图表（7种） |\n| `format` | 一键美化 |\n| `cond` | 条件格式（7种） |\n| `dv` | 数据验证（下拉/数字/日期/文本长度） |\n| `clean` | 数据清洗管道 |\n| `split` | 分列（按分隔符） |\n| `import` | CSV/JSON → XLSX |\n| `export` | XLSX → CSV/JSON/PDF |\n| `pdf` | 直接导出 PDF |\n| `merge` | 合并多个 Excel |\n| `insights` | AI 数据洞察 |\n\n---\n\n## create - 创建 Excel\n\n```bash\npython3 scripts/excel.py create -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[125,98],\"利润\":[31,20]}' -o out.xlsx\n```\n\n## report - 报表模板（7种）\n\n```bash\n# 销售看板 - KPI卡片+柱状图+饼图\npython3 scripts/excel.py report -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200],\"利润\":[30,50]}' -t sales -o 看板.xlsx\n\n# 财务报表\npython3 scripts/excel.py report -d '{\"项目\":[\"收入\",\"成本\",\"利润\"],\"Q1\":[100,60,40],\"Q2\":[120,70,50]}' -t financial -o 财务.xlsx\n\n# 项目甘特图（颜色随进度变化）\npython3 scripts/excel.py report -d '{\"项目\":[\"A项目\",\"B项目\"],\"进度\":[80,50],\"负责人\":[\"张三\",\"李四\"]}' -t gantt -o 项目.xlsx\n\n# 对账清单（正负自动标色）\npython3 scripts/excel.py report -d '{\"合同\":[\"甲\",\"乙\"],\"预算\":[100,200],\"实际\":[110,190],\"差异\":[10,-10]}' -t recon -o 对账.xlsx\n\n# 日报（状态自动标色）\npython3 scripts/excel.py report -d '{\"事项\":[\"需求\",\"开发\"],\"负责人\":[\"张三\"],\"状态\":[\"完成\",\"进行中\"]}' -t daily -o 日报.xlsx\n\n# 周报\npython3 scripts/excel.py report -d '{\"日期\":[\"周一\",\"周二\"],\"完成任务\":[3,5],\"进行中\":[2,1]}' -t weekly -o 周报.xlsx\n```\n\n## chart - 图表（7种）\n\n```bash\npython3 scripts/excel.py chart -f data.xlsx -t bar -T \"销售对比\" -p F2   # 柱状图\npython3 scripts/excel.py chart -f data.xlsx -t line -T \"趋势\" -p F2       # 折线图\npython3 scripts/excel.py chart -f data.xlsx -t pie -T \"占比\"                # 饼图\npython3 scripts/excel.py chart -f data.xlsx -t area -T \"堆积\"                # 面积图\npython3 scripts/excel.py chart -f data.xlsx -t radar -T \"能力图\"            # 雷达图\npython3 scripts/excel.py chart -f data.xlsx -t combo -T \"组合\"              # 组合图\npython3 scripts/excel.py chart -f data.xlsx -t scatter -T \"分布\"            # 散点图\n```\n\n## cond - 条件格式（7种）\n\n```bash\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale  # 三色热力图\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar      # 数据条\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t icon    # 图标集\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top     # Top N 高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg     # 高于平均\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t gt -v 0  # 大于0标绿\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t lt -v 0 # 小于0标红\n```\n\n## dv - 数据验证\n\n```bash\n# 下拉菜单\npython3 scripts/excel.py dv -f data.xlsx -c 3 -t list -o \"优,良,差\"\n\n# 数字范围（0-100）\npython3 scripts/excel.py dv -f data.xlsx -c 4 -t number --min 0 --max 100\n\n# 日期验证\npython3 scripts/excel.py dv -f data.xlsx -c 5 -t date\n\n# 文本长度限制\npython3 scripts/excel.py dv -f data.xlsx -c 2 -t length --min-len 1 --max-len 50\n```\n\n## clean - 数据清洗\n\n```bash\n# 清洗管道：去重 → 填空 → 去首尾空格\npython3 scripts/excel.py clean -f data.xlsx -s \"dedup,blanks,trim\"\n\n# 转换为小写\npython3 scripts/excel.py clean -f data.xlsx -s \"lower\"\n\n# 数字清洗（文本→数字）\npython3 scripts/excel.py clean -f data.xlsx -s \"number\"\n```\n\n## split - 分列\n\n```bash\n# 按逗号分列\npython3 scripts/excel.py split -f data.xlsx -c 1 -d \",\" -o split.xlsx\n\n# 按空格分列\npython3 scripts/excel.py split -f data.xlsx -c 2 -d \" \" -o split.xlsx\n```\n\n## import / export - 格式转换\n\n```bash\n# CSV → Excel\npython3 scripts/excel.py import -f data.csv -t xlsx -o out.xlsx\n\n# JSON → Excel\npython3 scripts/excel.py import -f data.json -t xlsx -o out.xlsx\n\n# Excel → CSV\npython3 scripts/excel.py export -f data.xlsx -t csv -o out.csv\n\n# Excel → JSON\npython3 scripts/excel.py export -f data.xlsx -t json -o out.json\n\n# Excel → PDF（需安装 LibreOffice）\npython3 scripts/excel.py pdf -f data.xlsx -o out.pdf\n```\n\n## merge - 合并文件\n\n```bash\npython3 scripts/excel.py merge -f a.xlsx b.xlsx c.xlsx -o merged.xlsx -k 1\n```\n\n## analyze / insights - AI 分析\n\n```bash\n# 完整分析\npython3 scripts/excel.py analyze -f data.xlsx\n\n# 仅洞察\npython3 scripts/excel.py insights -f data.xlsx\n```\n\n## formula - 公式生成\n\n```bash\npython3 scripts/excel.py formula --描述 \"计算毛利率\" -c \"利润,销售额\"\npython3 scripts/excel.py formula --描述 \"统计大于1000的数量\"\npython3 scripts/excel.py formula --描述 \"同比增长率\"\npython3 scripts/excel.py formula --描述 \"IF条件\"\n```\n\n## 视觉设计\n\n| 元素 | 设计 |\n|------|------|\n| 主色调 | 现代蓝 #2E5BFF |\n| 配色系 | 蓝/绿/橙/红/紫 5色循环 |\n| 交替行 | 浅灰 #F8FAFC / 白色 |\n| 图表 | 渐变配色 + 精细边框 |\n| 字体 | 微软雅黑 |\n\n## 数据格式\n\n| 类型 | Excel 格式 |\n|------|-----------|\n| 金额 | ¥#,##0.00 |\n| 百分比 | 0.00% |\n| 数字 | #,##0 |\n| 日期 | YYYY-MM-DD |\n\nFile v1.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn745ccdc5q5v4b5h89161d1ks82vz9w\",\n  \"slug\": \"pans-excel\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1776436302168\n}\n\nArchive v1.0.0: 4 files, 13637 bytes\n\nFiles: scripts/__init__.py (20b), scripts/excel.py (47061b), SKILL.md (4661b), _meta.json (129b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: pans-excel\ndescription: |\n  全功能智能 Excel 处理专家。功能覆盖：数据分析 | 图表可视化 | 数据处理 | 报表模板 | AI智能公式生成。\n  支持：销售看板、财务三表、甘特图、对账清单、组合图、雷达图、条件格式、数据透视、智能洞察。\n  触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对账清单, 甘特图\n---\n\n# PansExcel Pro - 全功能智能 Excel\n\n## 命令速查\n\n| 命令 | 功能 |\n|------|------|\n| `create` | 从数据创建 Excel |\n| `report` | 生成专业报表模板 |\n| `analyze` | 智能分析数据 |\n| `formula` | 自然语言生成公式 |\n| `chart` | 添加图表 |\n| `format` | 美化现有文件 |\n| `cond` | 条件格式 |\n| `insights` | AI 数据洞察 |\n| `merge` | 合并多个 Excel |\n\n---\n\n## create - 创建 Excel\n\n```bash\npython3 scripts/excel.py create -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200],\"利润\":[30,50]}' -o out.xlsx\n```\n\n## report - 专业报表模板（5种）\n\n```bash\n# 销售看板（含KPI卡片+图表）\npython3 scripts/excel.py report -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200]}' -t sales-dashboard -o 看板.xlsx\n\n# 财务报表（损益表+图表）\npython3 scripts/excel.py report -d '{\"项目\":[\"收入\",\"成本\",\"利润\"],\"Q1\":[100,60,40],\"Q2\":[120,70,50]}' -t financial -o 财务.xlsx\n\n# 项目甘特图\npython3 scripts/excel.py report -d '{\"项目\":[\"A项目\",\"B项目\"],\"开始\":[\"2024-01\",\"2024-02\"],\"结束\":[\"2024-06\",\"2024-08\"],\"进度\":[80,50]}' -t gantt -o 项目.xlsx\n\n# 对账清单（自动标色差异）\npython3 scripts/excel.py report -d '{\"合同\":[\"甲\",\"乙\"],\"预算\":[100,200],\"实际\":[110,190],\"差异\":[10,-10]}' -t recon -o 对账.xlsx\n```\n\n### report -t sales-dashboard 包含\n- KPI 汇总卡片（总计/平均/最大/最小）\n- 数据表格（交替行颜色）\n- 柱状图（各部门对比）\n- 饼图（占比分布）\n\n### report -t financial 包含\n- 损益表 + 资产负债表\n- 条件格式（盈利绿色高亮）\n- 趋势图表\n\n### report -t gantt 包含\n- 甘特图样式进度条\n- 颜色随进度变化（绿/黄/红）\n- 三色条件格式\n\n### report -t recon 包含\n- 自动差异标色（正=绿，负=红）\n- 汇总统计\n\n## chart - 图表类型（6种）\n\n```bash\n# 柱状图\npython3 scripts/excel.py chart -f data.xlsx -t bar -T \"销售对比\" -p E2\n\n# 饼图\npython3 scripts/excel.py chart -f data.xlsx -t pie -T \"占比\"\n\n# 折线图（时间序列）\npython3 scripts/excel.py chart -f data.xlsx -t line -T \"趋势\"\n\n# 面积图\npython3 scripts/excel.py chart -f data.xlsx -t area -T \"堆积\"\n\n# 雷达图（多维度对比）\npython3 scripts/excel.py chart -f data.xlsx -t radar -T \"能力图\"\n\n# 组合图（柱+线）\npython3 scripts/excel.py chart -f data.xlsx -t combo -T \"对比趋势\"\n```\n\n## formula - AI 公式生成\n\n```bash\n# 基础公式\npython3 scripts/excel.py formula --描述 \"计算毛利率\" -c \"利润,销售额\"\npython3 scripts/excel.py formula --描述 \"统计大于1000的数量\"\npython3 scripts/excel.py formula --描述 \"查找最大值\"\npython3 scripts/excel.py formula --描述 \"排名\"\npython3 scripts/excel.py formula --描述 \"同比增长率\"\npython3 scripts/excel.py formula --描述 \"IF条件\"\npython3 scripts/excel.py formula --描述 \"计算年龄\"\n```\n\n## analyze - 智能分析\n\n```bash\npython3 scripts/excel.py analyze -f data.xlsx\n```\n输出：数据描述 + 推荐图表 + AI 洞察\n\n## insights - AI 数据洞察\n\n```bash\npython3 scripts/excel.py insights -f data.xlsx\n```\n输出：异常值提示、数据质量建议\n\n## format - 美化文件\n\n```bash\npython3 scripts/excel.py format -f data.xlsx -o formatted.xlsx\n```\n包含：交替行、表头样式、标题、自动筛选、冻结窗格\n\n## cond - 条件格式\n\n```bash\n# 三色色阶（热力图）\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale\n\n# 数据条\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar\n\n# Top 10 高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top\n\n# 高于平均高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg\n```\n\n## merge - 合并文件\n\n```bash\npython3 scripts/excel.py merge -f a.xlsx b.xlsx c.xlsx -o merged.xlsx -k 1\n```\n按关键列合并多文件\n\n---\n\n## 视觉设计\n\n| 元素 | 设计 |\n|------|------|\n| 主色调 | 现代蓝 #2E5BFF |\n| 图表 | 渐变配色 + 圆角 |\n| 交替行 | 浅灰/白色 |\n| 边框 | 精细 1px |\n| 字体 | 微软雅黑 |\n\n## 数据格式\n\n| 类型 | 格式 |\n|------|------|\n| 金额 | ¥#,##0.00 |\n| 百分比 | 0.00% |\n| 数字 | #,##0 |\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn745ccdc5q5v4b5h89161d1ks82vz9w\",\n  \"slug\": \"pans-excel\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776435653367\n}","readmeExcerpt":"Skill: Pans Excel Owner: dashiming Summary: 全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... Tags: latest:1.2.0 Version history: v1.2.0 | 2026-04-17T14:43:14.286Z | auto Version 1.2.0 - Updated scripts/excel.py with new changes. - No changes to user-facing documentation or commands. v1.1.0 | 2026-04-17T14:3","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python3 scripts/excel.py create -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[125,98],\"利润\":[31,20]}' -o out.xlsx"},{"language":"bash","snippet":"# 销售看板 - KPI卡片+柱状图+饼图\npython3 scripts/excel.py report -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200],\"利润\":[30,50]}' -t sales -o 看板.xlsx\n\n# 财务报表\npython3 scripts/excel.py report -d '{\"项目\":[\"收入\",\"成本\",\"利润\"],\"Q1\":[100,60,40],\"Q2\":[120,70,50]}' -t financial -o 财务.xlsx\n\n# 项目甘特图（颜色随进度变化）\npython3 scripts/excel.py report -d '{\"项目\":[\"A项目\",\"B项目\"],\"进度\":[80,50],\"负责人\":[\"张三\",\"李四\"]}' -t gantt -o 项目.xlsx\n\n# 对账清单（正负自动标色）\npython3 scripts/excel.py report -d '{\"合同\":[\"甲\",\"乙\"],\"预算\":[100,200],\"实际\":[110,190],\"差异\":[10,-10]}' -t recon -o 对账.xlsx\n\n# 日报（状态自动标色）\npython3 scripts/excel.py report -d '{\"事项\":[\"需求\",\"开发\"],\"负责人\":[\"张三\"],\"状态\":[\"完成\",\"进行中\"]}' -t daily -o 日报.xlsx\n\n# 周报\npython3 scripts/excel.py report -d '{\"日期\":[\"周一\",\"周二\"],\"完成任务\":[3,5],\"进行中\":[2,1]}' -t weekly -o 周报.xlsx"},{"language":"bash","snippet":"python3 scripts/excel.py chart -f data.xlsx -t bar -T \"销售对比\" -p F2   # 柱状图\npython3 scripts/excel.py chart -f data.xlsx -t line -T \"趋势\" -p F2       # 折线图\npython3 scripts/excel.py chart -f data.xlsx -t pie -T \"占比\"                # 饼图\npython3 scripts/excel.py chart -f data.xlsx -t area -T \"堆积\"                # 面积图\npython3 scripts/excel.py chart -f data.xlsx -t radar -T \"能力图\"            # 雷达图\npython3 scripts/excel.py chart -f data.xlsx -t combo -T \"组合\"              # 组合图\npython3 scripts/excel.py chart -f data.xlsx -t scatter -T \"分布\"            # 散点图"},{"language":"bash","snippet":"python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale  # 三色热力图\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar      # 数据条\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t icon    # 图标集\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top     # Top N 高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg     # 高于平均\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t gt -v 0  # 大于0标绿\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t lt -v 0 # 小于0标红"},{"language":"bash","snippet":"# 下拉菜单\npython3 scripts/excel.py dv -f data.xlsx -c 3 -t list -o \"优,良,差\"\n\n# 数字范围（0-100）\npython3 scripts/excel.py dv -f data.xlsx -c 4 -t number --min 0 --max 100\n\n# 日期验证\npython3 scripts/excel.py dv -f data.xlsx -c 5 -t date\n\n# 文本长度限制\npython3 scripts/excel.py dv -f data.xlsx -c 2 -t length --min-len 1 --max-len 50"},{"language":"bash","snippet":"# 清洗管道：去重 → 填空 → 去首尾空格\npython3 scripts/excel.py clean -f data.xlsx -s \"dedup,blanks,trim\"\n\n# 转换为小写\npython3 scripts/excel.py clean -f data.xlsx -s \"lower\"\n\n# 数字清洗（文本→数字）\npython3 scripts/excel.py clean -f data.xlsx -s \"number\""}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: pans-excel\ndescription: |\n  全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。\n  触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对账清单, CSV导入, JSON导出, PDF导出, 数据清洗\n---\n\n# PansExcel Pro Max\n\n## 命令速查\n\n| 命令 | 功能 |\n|------|------|\n| `create` | 从数据创建 Excel |\n| `report` | 生成专业报表（7种模板） |\n| `analyze` | AI 智能分析数据 |\n| `formula` | 自然语言生成公式 |\n| `chart` | 添加图表（7种） |\n| `format` | 一键美化 |\n| `cond` | 条件格式（7种） |\n| `dv` | 数据验证（下拉/数字/日期/文本长度） |\n| `clean` | 数据清洗管道 |\n| `split` | 分列（按分隔符） |\n| `import` | CSV/JSON → XLSX |\n| `export` | XLSX → CSV/JSON/PDF |\n| `pdf` | 直接导出 PDF |\n| `merge` | 合并多个 Excel |\n| `insights` | AI 数据洞察 |\n\n---\n\n## create - 创建 Excel\n\n```bash\npython3 scripts/excel.py create -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[125,98],\"利润\":[31,20]}' -o out.xlsx\n```\n\n## report - 报表模板（7种）\n\n```bash\n# 销售看板 - KPI卡片+柱状图+饼图\npython3 scripts/excel.py report -d '{\"部门\":[\"华东\",\"华南\"],\"销售额\":[100,200],\"利润\":[30,50]}' -t sales -o 看板.xlsx\n\n# 财务报表\npython3 scripts/excel.py report -d '{\"项目\":[\"收入\",\"成本\",\"利润\"],\"Q1\":[100,60,40],\"Q2\":[120,70,50]}' -t financial -o 财务.xlsx\n\n# 项目甘特图（颜色随进度变化）\npython3 scripts/excel.py report -d '{\"项目\":[\"A项目\",\"B项目\"],\"进度\":[80,50],\"负责人\":[\"张三\",\"李四\"]}' -t gantt -o 项目.xlsx\n\n# 对账清单（正负自动标色）\npython3 scripts/excel.py report -d '{\"合同\":[\"甲\",\"乙\"],\"预算\":[100,200],\"实际\":[110,190],\"差异\":[10,-10]}' -t recon -o 对账.xlsx\n\n# 日报（状态自动标色）\npython3 scripts/excel.py report -d '{\"事项\":[\"需求\",\"开发\"],\"负责人\":[\"张三\"],\"状态\":[\"完成\",\"进行中\"]}' -t daily -o 日报.xlsx\n\n# 周报\npython3 scripts/excel.py report -d '{\"日期\":[\"周一\",\"周二\"],\"完成任务\":[3,5],\"进行中\":[2,1]}' -t weekly -o 周报.xlsx\n```\n\n## chart - 图表（7种）\n\n```bash\npython3 scripts/excel.py chart -f data.xlsx -t bar -T \"销售对比\" -p F2   # 柱状图\npython3 scripts/excel.py chart -f data.xlsx -t line -T \"趋势\" -p F2       # 折线图\npython3 scripts/excel.py chart -f data.xlsx -t pie -T \"占比\"                # 饼图\npython3 scripts/excel.py chart -f data.xlsx -t area -T \"堆积\"                # 面积图\npython3 scripts/excel.py chart -f data.xlsx -t radar -T \"能力图\"            # 雷达图\npython3 scripts/excel.py chart -f data.xlsx -t combo -T \"组合\"              # 组合图\npython3 scripts/excel.py chart -f data.xlsx -t scatter -T \"分布\"            # 散点图\n```\n\n## cond - 条件格式（7种）\n\n```bash\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale  # 三色热力图\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar      # 数据条\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t icon    # 图标集\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top     # Top N 高亮\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg     # 高于平均\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t gt -v 0  # 大于0标绿\npython3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t lt -v 0 # 小于0标红\n```\n\n## dv - 数据验证\n\n```bash\n# 下拉菜单\npython3 scripts/excel.py dv -f data.xlsx -c 3 -t list -o \"优,良,差\"\n\n# 数字范围（0-100）\npython3 scripts/excel.py dv -f data.xlsx -c 4 -t number --min 0 --max 100\n\n# 日期验证\npython3 scripts/excel.py dv -f data.xlsx -c 5 -t date\n\n# 文本长度限制\npython3 scripts/excel.py dv"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn745ccdc5q5v4b5h89161d1ks82vz9w\",\n  \"slug\": \"pans-excel\",\n  \"version\": \"1.2.0\",\n  \"publishedAt\": 1776436994286\n}"},{"path":"skill-card.md","content":"## Description:\n\nPans Excel helps agents create, format, analyze, convert, and export Excel workbooks with charts, report templates, data validation, data cleaning, and CSV, JSON, and PDF workflows.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dashiming](https://clawhub.ai/user/dashiming)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and agent users use this skill to generate and modify Excel workbooks, build business reports, add charts and validation, clean tabular data, and convert between XLSX, CSV, JSON, and PDF.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The bundled Excel script can evaluate spreadsheet data input as Python code when JSON parsing fails.\n\nMitigation: Install only if the publisher is trusted, restrict how commands are invoked, and do not pass untrusted --data values.\n\nRisk: Imported CSV or JSON data may contain spreadsheet formulas or other attacker-controlled cell content.\n\nMitigation: Avoid importing attacker-supplied CSV or JSON unless formula-like values are sanitized before conversion.\n\nRisk: Formatting, charting, cleaning, validation, and autofmt commands can overwrite an existing workbook when no output path is provided.\n\nMitigation: Provide an explicit output path or work on a copy when modifying workbooks.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dashiming/skills/pans-excel)\n\n## Skill Output:\n\n**Output Type(s):** [text, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with inline shell commands plus JSON or text command output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Commands may create, modify, convert, or overwrite XLSX, CSV, JSON, and PDF files depending on output-path options.]\n\n## Skill Version(s):\n\n1.2.0 (source: server release metadata and target metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... Skill: Pans Excel Owner: dashiming Summary: 全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... 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