Productivity
Plugin
sensenova-skills
The SenseNova model family plugs directly into agent runtimes such as OpenClaw and hermes-agent, with the skills in this repository extending the models with concrete, end-to-end office capabilities.
Plugin Signal87/100Strong
maintained93
capable93
documented75
adopted79
Install
$ npx -y skills add OpenSenseNova/SenseNova-Skills --agent claude-code
Run the curl in your terminal, the rest in Claude Code.
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Maintenance
JavaScript
Language
MIT
License
12d ago
Last commit
3mo ago
Created
Repo: OpenSenseNova/SenseNova-Skills
In this plugin
- skills
- sn-da-excel-workflow
- category-coloring
- duplicate-value-coloring
- outlier-coloring
- threshold-cell-coloring
- top-value-coloring
- data-bar-formatting
- comparison-analysis
- group-by-analysis
- kpi-metric-analysis
- pivot-table-analysis
- time-series-analysis
- trend-analysis
- duplicate-removal
- invalid-data-cleaning
- missing-value-handling
- numeric-format-normalization
- outlier-detection
- text-normalization
- category-filtering
- condition-filtering
- range-filtering
- threshold-filtering
- basic-statistics
- category-statistics
- grouped-statistics
- percentage-calculation
- bar-chart-visualization
- histogram-visualization
- line-chart-visualization
- pie-chart-visualization
- scatter-plot-visualization
- stacked-chart-visualization
- large-excel-reading
- multi-file-reading
- multi-sheet-reading
- range-reading
- single-sheet-reading
- specific-sheet-reading
- structured-header-reading
- chart-embedded-export
- formatted-export
- report-generation-export
- single-sheet-export
- table-theme-styling
- sn-da-image-caption
- sn-da-large-file-analysis
- sn-da-non-spreadsheet-analysis
- pdf-analysis
- ppt-analysis
- word-analysis
- sn-deep-research
- sn-image-base
- sn-image-doctor
- sn-image-imitate
- sn-image-resume
- sn-infographic
- sn-md-to-html-report
- sn-ppt-creative
- sn-ppt-doctor
- sn-ppt-entry
- sn-ppt-standard
- sn-ppt-workbench
- sn-prepare-citations
- sn-report-format-discovery
- sn-research-report
- sn-search-academic
- sn-search-code
- sn-search-finance
- sn-search-image
- sn-search-market-cn
- sn-search-social-cn
- sn-search-social-en
- sn-search-social-media
- sn-search-year-report
- sn-update
- agents
What's inside
Skills
76/sn-da-excel-workflowExcel ๆฐๆฎๅๆๅคๆญฅ็ผๆๅจใ่ฆ็๏ผ(1) ่ฏปๅๅค Sheet Excel ๆไปถๅนถ็ป่ฎก่กๆฐ๏ผ(2) ๅคงๆไปถๆฃๆต๏ผโฅ10k ่ก่ชๅจ Parquet ไผๅ๏ผ๏ผ(3) ๆฐๆฎๆธ
ๆด๏ผ็ผบๅคฑๅผใๆๆฌๆ ๅๅใๆ ๆๅญ็ฌฆ๏ผ๏ผ(4) ๆกไปถ็ญ้ไธๅ็ฑปๆๅ๏ผ(5) ่ทจ Sheet ็ป่ฎก่ๅ๏ผ(6) ๅฏผๅบ Excel/CSV ๅนถๆไพไธ่ฝฝ้พๆฅใ่ฆ็ไปๆฐๆฎ่ฏปๅๅฐๆฅๅ็ๆๅ
จๆต็จ๏ผๆๆญฅ้ชค็ผๆ capability ๅญ skillใ**้ๅฐไปฅไธไปปไธๆ
ๅตๅฐฑไธปๅจไฝฟ็จๆฌ skill๏ผไธ่ฆ่ช่กๅๅ ่ก pandas ๅฐฑๅ็ญ**๏ผโ ็จๆทๅบ็ฐ่งฆๅ่ฏ๏ผExcel ๅๆ / ่กจๆ ผๅๆ / ๆฐๆฎๅๆ //category-coloringๅฝExcelๆไปถๆป่กๆฐ่ถ
่ฟ1ไธ่กๆถ๏ผ้่ฟ่ฝฌๆขไธบParquetๆ ผๅผๆๅ่ฏปๅๆง่ฝ๏ผๆๅ็ฎๆ ๆๆ ๅนถ่ฎก็ฎๆๅคงๅผ๏ผๆๅๅฐ็ปๆ่พๅบไธบExcelๅนถๅฏน็นๅฎ่ก่ฟ่ก้ซไบฎๆ ๆณจใ/duplicate-value-coloringๅฏนๆฏExcelๅค่กจไธญ็็นๅฎ็ณปๆฐๅนถๅฏนๅผๅธธๅผ่ฟ่ก้ข่ฒๆ ่ฎฐใ/outlier-coloring่ฏๅซ Excel ไธญ็่ถ
้ๆฐๅผไธ้่ฏฏๅๅ
ๆ ผๅนถ่ฟ่ก้ซไบฎๆ ๆณจใ/threshold-cell-coloringๆ นๆฎExcelๆป่กๆฐ่ชๅจๅๆขParquetๅ ้่ฏปๅ๏ผ่ฎก็ฎ็นๅฎ็ปดๅบฆ็ๆถ้ดๅบๅๅนณๅๅผ๏ผๅนถไฝฟ็จopenpyxl่พๅบๅธฆๆๆกไปถๆ ผๅผ๏ผๅฆไฝไบๅๅผๆ ็ปฟ๏ผๅ่ชๅฎไนๆ ทๅผ็ๅๆๆฅๅใ/top-value-coloringๆ นๆฎๆฐๆฎ่งๆจกๅจๆ้ๆฉๅค็็ญ็ฅ๏ผๅฏนๅค่กจๆฐๆฎ่ฟ่กๅๅนถใ็ป่ฎก็ญ้๏ผๅนถๅฉ็จ openpyxl ๅฎ็ฐๅ
ณ้ฎๆๆ ็่ชๅจๅๆ ทๅผ้ซไบฎไธๆ ผๅผๅๅฏผๅบใ
Show all 76 skillsShow fewer
/data-bar-formattingไปๅธฆๅไฝ็ๅญ็ฌฆไธฒๅไธญๆๅๆฐๅผๅนถๆธ
ๆด๏ผ็ๆๅ
ๅซ็ดๆนๅพใ้ฅผๅพใๆกๅฝขๅพๅ็ดฏ็งฏๅๅธๅพ็ๅค็ปดๅบฆ็ปผๅๅๅธๅฏ่งๅๅพ่กจ๏ผ็จไบๅฑ็คบๆฐๆฎ็้ไธญ่ถๅฟไธๅๅธ็นๅพใ/comparison-analysisๅฏนไธค็ฑปๅ็ฑปๆฐๆฎ่ฟ่กๅฏนๆฏๅๆ๏ผ็ป่ฎกๆฐ้ๅทฎๅผไธๆฏไพๅ
ณ็ณปๅนถ็ๆๅฏ่งๅๅพ่กจใ/group-by-analysisๅฏนๅค Sheet ็ Excel ๆไปถ่ฟ่ก่กๆฐ็ป่ฎกใๅคงๆไปถ Parquet ่ฝฌๆข้ขๅค็ใๆฐๆฎๆธ
ๆดๅๅ็ป่ๅๅๆ๏ผๅนถ็ๆๅธฆๆ ทๅผๆ ่ฎฐ็็ป่ฎก่กจไธๅฏ่งๅๅพ่กจใ/kpi-metric-analysisๆ นๆฎๆฐๆฎ้่ชๅจ้ๆฉ่ฏปๅ็ญ็ฅ๏ผๅคงๆไปถ่ฝฌParquet๏ผ๏ผๆๅๅ
ณ้ฎๆๆ ่ฟ่กๅไฝไธ่ดๆง้ช่ฏไธๆๅบๅๆ๏ผๅนถ่พๅบๅฏไธ่ฝฝ็็ปๆ่กจๆ ผใ/pivot-table-analysisๅฉ็จไบคๅ่กจไธ็ญๅๅพๅฏนๅ็ฑปๆฐๆฎ่ฟ่กๅค็ปดๅบฆๅ ๆฏๅๆ๏ผ้็จไบๅฅ้กนๅๅธใ็ปฉๆ่ฏไผฐๆๅธๅบๅ ๆ็็ญ็ปๆๅๆฐๆฎ็ๆธ
ๆดไธๅฏ่งๅใ/time-series-analysisๅฏนๆถ้ดๅบๅๆๅ็ฑปๆฐๆฎ่ฟ่กๅค็ปดๅบฆ่ถๅฟๅๆใ็พๅๆฏๆธ
ๆดใ็ปฉๆๅ็บงๅปบๆจกไธ้ขๆต๏ผๅนถ็ๆ้ซๅ่พจ็็ๅฏ่งๅ็ปผๅๆฅๅ๏ผ้็จไบไธๅกๆๆ ็ๆงไธ้ขๆตๅบๆฏใ/trend-analysisๅบไบๅค็ปดๅบฆๆฐๆฎ่ฟ่กๅ็บง่ฏไผฐไธ่ถๅฟ้ขๆต๏ผ้่ฟ่ฎพๅฎๅทฎๅผๅๅข้ฟ็่ฎก็ฎ้ขๆตๅผ๏ผๅนถ็ๆๅฏนๆฏๅฏ่งๅๅพ่กจ๏ผ้็จไบ็ปฉๆ่ฏไผฐใ็ฎๆ ่ฎพๅฎ็ญๅบๆฏใ/duplicate-removal็ป่ฎกๅคSheet Excelๆป่กๆฐๅนถๆ นๆฎ่งๆจก้ๆฉๅค็็ญ็ฅ๏ผๆๅ็นๅฎ็ปดๅบฆไฟกๆฏ่ฟ่กๅป้็ป่ฎก๏ผๅนถ็ๆๆ่ฆไธๆ็ปๆฅ่กจใ/invalid-data-cleaning็จไบๅคง่งๆจกExcelๆฐๆฎ็้ขๅค็๏ผ้่ฟ็ป่ฎกๆป่กๆฐๅคๆญๆฏๅฆ่ฝฌๆขไธบParquetๆ ผๅผไปฅๆๅ่ฏปๅๆ็๏ผๅนถไฝฟ็จๆญฃๅ่กจ่พพๅผๆธ
ๆดๆๅฎๆๆฌๅ๏ผๅฆไป
ไฟ็ไธญๆๅญ็ฌฆ๏ผ๏ผๆๅๅฏผๅบๆธ
ๆดๅ็ๆไปถๅนถๆไพไธ่ฝฝ้พๆฅใ/missing-value-handlingๅฏนๅค Sheet Excel ่ฟ่กๆบ่ฝๆธ
ๆดใ่ทจ่กจๆ ธๅฏนไธๅฏ่งๅๅๆใใ/numeric-format-normalizationๅฏน Excel ๆฐๆฎ่ฟ่กๆฐๅผๆ ผๅผๆ ๅๅไธๆธ
ๆด๏ผๆฏๆๅคง่งๆจกๆฐๆฎ็ Parquet ่ฝฌๆขๆต็จ๏ผๅนถๅฎๆๅ
ณ้ฎๆๆ ็ๅ่ฎกๆ ธๅฏนไธ็ปๆๆไปถๅฏผๅบใ/outlier-detectionๆง่กๅ
จ้ข็ๅผๅธธๅผๆฃๆตไธๆฐๆฎ่ดจ้่ฏไผฐ๏ผๅฉ็จ IQR ๆนๆณ่ฏๅซๅผๅธธๅผๅนถ็ปๅๅๅบฆใๅณฐๅบฆๅๆๆฐๆฎๅๅธ็นๅพ๏ผ้็จไบ้ๆญฃๆๅๅธๆฐๆฎ็้ขๅค็้ถๆฎตใ/text-normalizationๅฏนExcelๆไปถ่ฟ่กๆๆฌๆ ๅๅๆธ
ๆด๏ผๅฆๅป้คๅผๅธธๅ็ผใๆๅ็บฏไธญๆๅญ็ฌฆ็ญ๏ผ๏ผๅนถ๏ผๆ็ป่พๅบๆธ
ๆดๅ็Excelๆไปถๅนถๆไพไธ่ฝฝ้พๆฅใ/category-filteringๅฏนExcelๆฐๆฎ่ฟ่ก่ชๅฎไนๅ็ฑป็ป่ฎกใไบคๅๅๆไธๅฏ่งๅ๏ผๅนถๅบไบๅค็ปดๅบฆๆๆ ๏ผๅฆๆๆฌ้ฟๅบฆใๆฏ่ฏญๅฏๅบฆใๆญฃๅๅน้
็ญ๏ผ่ฟ่ก็ปผๅ่ฏๅไธๅ็บง๏ผ้็จไบๅค็ฑปๅซๆฐๆฎๅๅธ็ป่ฎกๅๆๆฌๅ
ๅฎน้พๅบฆ/่ดจ้่ฏไผฐๅบๆฏใ/condition-filteringๆ นๆฎๆฐๆฎ่งๆจกๅจๆ้ๆฉๅค็็ญ็ฅใ/range-filteringๆ นๆฎๅค็ปดๆฐๅผๆกไปถ็ญ้ Excel ๆฐๆฎๅนถๅฏผๅบ็ปๆ๏ผๆฏๆๅคง่งๆจกๆฐๆฎ็่ชๅจๆง่ฝไผๅๅค็ใ/threshold-filteringๆ นๆฎ Excel ๆฐๆฎ้็บง่ชๅจๅคๆญๅค็็ญ็ฅ๏ผๆง่กๆฐๅผๅๆธ
ๆดใๆกไปถ่ฟๆปค๏ผๅนถไฝฟ็จ openpyxl ๅฏน็ฌฆๅๆกไปถ็ๅๅ
ๆ ผ่ฟ่กๆ ทๅผๆ ่ฎฐไธๅฏผๅบใ/basic-statisticsๅฏนๅคSheet Excelๆไปถ่ฟ่กๅบ็ก็ป่ฎกไธ๏ผๆฏๆๆๆกไปถ็ญ้่ฎก็ฎๅๅผ๏ผไปฅๅไปๆๅฎ่กๅบ้ดๆๅๆฐๆฎๅป้ๆฑๅ๏ผๅนถ็ๆ็ปๆๆไปถไธไธ่ฝฝ้พๆฅใ/category-statisticsๆๅๆๅฎ็ฑปๅซๅๅนถ็ป่ฎกๅ็ฑปๅซๆฐ้ไธๅ ๆฏ๏ผ็ๆ้ซๅ่พจ็็ๆฑ็ถๅพใ้ฅผๅพ็ญ็ปๅๅฏ่งๅๆฅๅ๏ผ้็จไบๅ็ฑปๆฐๆฎ็ๅๅธๆ
ๅตๅๆใ/grouped-statisticsๅฏนๅค Sheet ็ Excel ๆไปถ่ฟ่ก่กๆฐ็ป่ฎกใๆฐๆฎๅๅนถไธๅๅๅกซๅ
ใ/percentage-calculationๆ นๆฎๆไปถ่กๆฐๅจๆๅๆขๅคงๆไปถๅค็็ญ็ฅ๏ผParquet่ฝฌๆข๏ผ๏ผ้่ฟ้่กๆซๆๆๅๅน้
ๆๅๅ
ณ้ฎๆๆ ๅนถ่ฎก็ฎๅ ๆฏใๅๅผ็ญ็ป่ฎก้๏ผๆ็ป่พๅบ็ปๆๅExcelๆฅๅๅๅฏ่งๅๅพ่กจใ/bar-chart-visualization่ฏปๅๅคๅทฅไฝ่กจExcelๆไปถ๏ผ่ชๅจๅค็ๅๅนถๅๅ
ๆ ผไธๆฐๆฎๆธ
ๆด๏ผ่ฟ่กไบคๅๅ็ป็ป่ฎกๅนถ็ๆๅธฆๆป่ฎก่ก็็ปๆ่กจ๏ผๆๅ็ปๅถๆฏๆไธญ่ฑๆๅญไฝ็็พๅๆฑ็ถๅพ๏ผ้็จไบๅค็ปดๅบฆๆฐๆฎๆฑๆปไธๅฏ่งๅๅๆใ/histogram-visualizationๆง่กๆฐๅผๅๆฐๆฎ็ๅๅธๅๆไธๅผๅธธๅผๆฃๆต๏ผๆฏๆ้่ฟๆญฃๅ่กจ่พพๅผไปๆๆฌไธญๆๅ่ฏฏๅทฎ้กนๅนถ็ๆ้ซๅ่พจ็็็ฎฑ็บฟๅพไธ็ดๆนๅพๆฅๅใ/line-chart-visualizationๆๅ็ปๆๅๆฐๆฎๅนถ่ฟ่ก็นๅพๆธ
ๆดไธ่็ฑปๅๆ๏ผ็ๆๅ
ๅซ่ถๅฟๅฏนๆฏใๅๅธ็นๅพไธๅๆฐๆๆๆง็ๅค็ปดๅบฆ็ปผๅๅฏ่งๅๅพ่กจ๏ผ้็จไบๅ็ฑป่ถๅฟ้ขๆตไธๅค็ปดๅฏนๆฏๅบๆฏใ/pie-chart-visualizationๅฏนๅคSheet ExcelๆCSVๆฐๆฎ่ฟ่กๅ็ฑปๆฑๆป็ป่ฎก๏ผ่ชๅจ่ฏๅซๅ
ณ้ฎๅญๆฎตๅนถ็ๆๅ
ๅซๅ ๆฏใๆฐๅผๅ็พๅ้ฅผๅพ็ๅฏไธ่ฝฝๅๆๆฅๅใ/scatter-plot-visualizationๅฏน Excel ๆฐๆฎ่ฟ่กๅค็ปดๅบฆ็ป่ฎกๅๆไธๅฏ่งๅใ/stacked-chart-visualizationๅค็ๅ
ๅซ็พๅๆฏๅญ็ฌฆไธฒ็ๅ็ฑปๅ ๆฏๆฐๆฎ๏ผ้่ฟ่กฅๅ
จ็ผบๅคฑ็ปดๅบฆๅนถ็ๆๅ ๅ ๆฑ็ถๅพ๏ผ็ด่งๅฑ็คบๅค็ปดๅบฆๆๆ้ๆถ้ดๆๅ็ฑป็ๅๅ่ถๅฟใ/large-excel-reading็จไบๅค็ๅคSheetๅคงๅExcelๆไปถ๏ผๆฏๆๅคงๆไปถParquetๆ ผๅผ่ฝฌๆขๆ้๏ผๅนถไฝฟ็จopenpyxl็ๆๅธฆๆกไปถ้ซไบฎๅ่ชๅฎไนๆ ทๅผ็ๆ ผๅผๅExcelๆฅๅๅไธ่ฝฝ้พๆฅใ/multi-file-reading่ฏปๅๅค Sheet Excel ๆไปถๅนถ็ป่ฎก่งๆจก๏ผๆฏๆๅคงๆไปถๅ Parquet ๆ ผๅผ่ฝฌๆขใๅ็ฑปๆฐๆฎ็ป่ฎกๅๅฏ่งๅๆฅๅ็ๆใ/multi-sheet-reading็จไบ่ฏปๅๅคๅทฅไฝ่กจExcelๆไปถ๏ผๅจๆ่ฏไผฐๆฐๆฎ้ไปฅๅฏ็จParquetๅคงๆไปถไผๅ๏ผๅนถๆง่กๆญฃๅๆธ
ๆดใๅ็ฑปๆฑๆปใ็บฟๆงๆๅๅ็ๆๅธฆๆ ผๅผ็ๅพ่กจไธ็ปๆๆไปถใ/range-reading่ฏปๅๅค Sheet Excel ๆไปถ๏ผๆ นๆฎๆฐๆฎ้ๅจๆ้ๆฉๅค็็ญ็ฅ๏ผๆฏๆ็นๅฎๅบๅๆฐๆฎๆๅใๅคงๆไปถ Parquet ่ฝฌๆขใ็ป่ฎกๅๆๅๅฏ่งๅๅพ่กจ็ๆใ/single-sheet-reading่ฏปๅๅนถ่งฃๆๅไธชExcelๅทฅไฝ่กจๆฐๆฎ๏ผๆฏๆๅๅนถๅๅ
ๆ ผๅค็ใๆฐๆฎๆธ
ๆดใไบคๅๅๆๅๅค็ปดๅบฆๅฏ่งๅ๏ผ้็จไบ้่ฆไปๅ่กจไธญๆๅๅ
ณ้ฎๆๆ ๅนถ่ฟ่ก่ถๅฟๆจกๆไธๅพ่กจ็ๆ็ๅบๆฏใ/specific-sheet-reading็จไบๅๆๅ
ๅซๅคไธชSheet็Excelๆไปถ๏ผๅจๆๅคๆญๆฐๆฎ้็บงไปฅๅณๅฎๆฏๅฆ่ฝฌๆขไธบParquet่ฟ่กๅคงๆไปถๅค็๏ผๅนถๆฏๆ่ทจSheet็็นๅฎๅญๆฎต็ป่ฎกใๆฐๆฎๆธ
ๆดใไบคๅๅๆไธๅฏ่งๅ๏ผๆ็ป็ๆๅธฆไธ่ฝฝ้พๆฅ็ๆฑๆปๆฅๅใ/structured-header-reading่ฏปๅๅค sheet Excel ๆไปถ๏ผๅจๆ่ฏๅซ็ฎๆ ๅ่ฟ่ก็ป่ฎก๏ผๅนถไฝฟ็จๆญฃๅๆธ
ๆดๆๆฌๅญๆฎตๆๅไธญๆๅญ็ฌฆ๏ผๆ็ป่พๅบๆ ๅๅ Excel ๆไปถใ/chart-embedded-exportไป็ปๆๅๆฐๆฎไธญๆๅๅ็ฑปๅๅธๆง่กๆธ
ๆดไธ็ป่ฎก๏ผ็ๆๅค็ปดๅบฆไบคๅๅๆใ้ซๅ่พจ็ๅฏนๆฏๅพ่กจๅๅ
ๅซไธ่ฝฝ้พๆฅ็ๅฎๆดๅๆๆฅๅ๏ผ้็จไบๅคงๆไปถๅค็ไธๅตๅ
ฅๅผๅฏ่งๅๅบๆฏใ/formatted-exportไปๅคSheet Excelๆไปถไธญ่ฏๅซๆๅฎๆกไปถ็่ฎฐๅฝ๏ผๅนถๅฐ็ญ้็ปๆไปฅๆด่กๆ ็บขๆ ผๅผๅฏผๅบไธบExcelๆไปถ๏ผ้็จไบๆฐๆฎๆธ
ๆดใๆกไปถ็ญ้ไธๅฏ่งๅๆ ่ฎฐๅบๆฏใ/report-generation-exportไปExcelๆๅๅค็ฑปๅๆฐๆฎ๏ผๅนถ็ๆๅ
ๅซๅฏ่งๅๅพ่กจไธไธ่ฝฝ้พๆฅ็็ปผๅๅๆๆฅๅใ/single-sheet-exportๅจๆ็ป่ฎกๅคSheet Excelๆไปถ่กๆฐไปฅๅคๆญๅคงๆไปถๅค็้ป่พ๏ผๅนถๆ นๆฎ็นๅฎๆกไปถ็ญ้ๆฐๆฎใ้ๅฝๅๅญๆฎตๅๅฏผๅบไธบๅ
ๅซไธ่ฝฝ้พๆฅ็ๆฐExcelๆไปถ๏ผ้็จไบๅคSheetๆฐๆฎๆขๆฅไธๆกไปถ่ฟๆปคๅฏผๅบๅบๆฏใ/table-theme-stylingๅจๆ็ป่ฎกExcelๆป่กๆฐ๏ผๅฝๆฐๆฎ้่ฟๅคง๏ผโฅ10000่ก๏ผๆถ่ชๅจ่ฝฌๆขไธบParquetๆ ผๅผๅ ้่ฏปๅ๏ผๅนถๅฏนๆๅฎ็ฎๆ ๅ่ฟ่กๆกไปถ็ญ้ใๅ็ฑปๆฑๆปไธ็ปๆๅฏผๅบ๏ผ้็จไบ่ถ
ๅคงไฝ็งฏExcelๆไปถ็ๅฟซ้่ฏปๅไธ็ป่ฎกๅๆใ/sn-da-image-captionๅพ็็่งฃไธๆฐๆฎๆๅ skillใๅฝๅพ็ๆไปถ๏ผ.png/.jpg/.jpeg/.gif/.webp/.bmp๏ผๆฏไธป่ฆ่พๅ
ฅไธ็จๆท้่ฆ็่งฃใๆๅๆฐๆฎๆๅๆๅพ็ๅ
ๅฎนๆถไฝฟ็จใๆไพ้ข้
็ฝฎ็ caption ่ๆฌ๏ผscripts/caption.py๏ผ๏ผ้่ฟ vision ๆจกๅๅฐๅพ็่ฝฌไธบๆๆฌๆ่ฟฐ๏ผๆ ้้ขๅค้
็ฝฎ API Keyใ่ฆ็๏ผ(1) ้่ฟ scripts/caption.py ๅฏนๅพ่กจ/่กจๆ ผ/ๆชๅพ/ๆต็จๅพ่ฟ่ก caption๏ผ(2) ๅฐ caption ๆๆฌ่งฃๆไธบ็ปๆๅ DataFrame๏ผ(3) ๅบไบๆๅๆฐๆฎ้ๆฐ็ๆๅฏ่งๅๅพ่กจ๏ผ(4) ๅฏผๅบไธบ/sn-da-large-file-analysisไธ่กไปฅไธ Excel ๆฐๆฎ้็้ซๆง่ฝๅๆๅผๆใๆไพ openpyxl read_only ๆตๅผ่ฏปๅ๏ผiter_rows ๆฏๆ 10 ไธ่กไปฅไธ๏ผใParquet ่ฝฌๆขๅ ้ใๅ
ๅญไผๅใๅๅๅค็ๅๅคงๆไปถๅๅ
ฅๆจกๅผใ**้ๅฐไปฅไธไปปไธๆ
ๅตๅฐฑไธปๅจไฝฟ็จๆฌ skill**๏ผโ ๆฐๆฎ่กๆฐ โฅ 10k๏ผ็ฑ sn-da-excel-workflow ็่กๆฐ่ฏไผฐๆญฅ้ชค่งฆๅ๏ผ๏ผโก็จๆทๅบ็ฐ่งฆๅ่ฏ๏ผๅคงๆไปถ / ๅคงๆฐๆฎ้ / ๆง่ฝไผๅ / ๅ
ๅญไธ่ถณ / OOM / ็พไธ่ก / ๅไธ่ก / ๆตๅผ่ฏปๅ / Parquet / ๅๅๅค็ / large file / big data //sn-da-non-spreadsheet-analysisWord / PDF / PPT ๆๆกฃ่งฃๆไธๆฐๆฎๅๆๅผๆใ่ฆ็ไธ็ฑปๆไปถๆ ผๅผ็ๅ
จ้ๆๅใ่กจๆ ผๆฐๅผๅใๅพ่กจ็่งฃไธ่ทจๆๆกฃๆฑๆปๅๆใ**้ๅฐไปฅไธไปปไธๆ
ๅตๅฐฑไธปๅจไฝฟ็จๆฌ skill**๏ผโ ็จๆทไธไผ ๆๆๅฎไบ .docx / .doc / .pdf / .pptx / .ppt ๆไปถๅนถ่ฆๆฑๅๆใๆๅๆ็ป่ฎกๅ
ถไธญๅ
ๅฎน๏ผโก็จๆทๅบ็ฐ่งฆๅ่ฏ๏ผWordๅๆ / PDF่งฃๆ / PPTๆๅ / ๆๆกฃๅๆ / ๆฅๅ่งฃๆ / ๅนป็ฏ็ๅๆ / ๅ็ฅจๆๅ / ๅๅๅๆ / ๆๆกฃ็ป่ฎก / ้ๅซๅญ / ่ฏญ็
/ ๅญๅทๆฃๆฅ / ็ฎๅๅๆ //pdf-analysisPDF ๆๆกฃ่งฃๆใ่ชๅจๅบๅๆๅญๅ PDF ไธๆซๆๅ PDF๏ผ่ฆ็๏ผๆๆฌ/่กจๆ ผๆๅใๅค้กตๅ
จ้ๆซๆใๅตๅ
ฅๅพ่กจ captionใๅไฝๆ็ฅๆฐๅผ่ฎก็ฎใ/ppt-analysisPPT (.pptx/.ppt) ๅ
จ้่งฃๆใ่ฆ็๏ผๆๆ slide ๆๆฌ/่กจๆ ผ/ๅพ่กจๆๅใๅตๅ
ฅๅพ็ captionใ็บฏๅพ็ slide ๆธฒๆ่ฏๅซใๆฐๆฎๆ ็ญพๆๅใ/word-analysisWord (.docx/.doc) ๆๆกฃๅ
จ้่งฃๆใ่ฆ็๏ผๆญฃๆ/ๆฎต่ฝๆๆฌๆๅใ่กจๆ ผๆฐๆฎๆๅใ้ซไบฎ/้ข่ฒๆ ผๅผ่ฏปๅใๅคๆไปถๆฑๆปๅฏนๆฏใๅตๅ
ฅๅพ็่ฝฌ captionใ/sn-deep-research็จไบ็จๆท่ฏทๆฑๆทฑๅบฆ็ ็ฉถใ็ณป็ปๆง็ ็ฉถใ็ซๅๅๆใๆนๆกๅฏนๆฏใ่ถๅฟๅๆๆไบๅฎๆ ธๆฅๆถใ**้ๅฐไปฅไธไปปไธๆ
ๅตๅฐฑไธปๅจไฝฟ็จๆฌ skill๏ผไธ่ฆ่ช่กๆๅ ๆกๅฐฑๅ็ญ**๏ผโ ็จๆทๅบ็ฐ่งฆๅ่ฏ๏ผๆทฑๅบฆ็ ็ฉถ / ๆทฑๅบฆ่ฐ็ / ๆทฑๅ
ฅ็ ็ฉถ / ๅ
จ้ข็ ็ฉถ / ็ณป็ป็ ็ฉถ / ่ฐ็ / ่ฐๆฅ / ๅฐฝ่ฐ / ่กไธ็ ็ฉถ / ๅธๅบ็ ็ฉถ / ็ซๅๅๆ / ๆฟ็ญ็ ็ฉถ / ๆๆฏ็ ็ฉถ / ่ถๅฟ็ ็ฉถ / ไบๅฎๆ ธๆฅ / ๅไธไปฝ็ ็ฉถๆฅๅ / ่ฐ็ ๆฅๅ / ๆทฑๅบฆๆฅๅ / research / deep/sn-image-baseBase-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is/sn-image-doctorEnvironment diagnostic skill for SenseNova-Skills project. Checks that sn-image-base is properly installed and configured, validates dependencies and environment variables. Prompts user to configure missing required variables and saves them to .env file. After configuration,/sn-image-imitateGenerates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "ไฟๆ่ฟไธช้ฃๆ ผ้็ป", "ๆ่ฟๅผ ๅพ้ฃๆ ผ็ๆ",/sn-image-resumeGenerates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create/sn-infographicGenerates professional infographics with various layout types and visual styles. Analyzes content, recommends layout and style, and generates publication-ready infographics. Use when user asks to create "infographic", "ไฟกๆฏๅพ", "visual summary", or "ๅฏ่งๅ"./sn-md-to-html-reportๅฐ Markdown ๆฅๅใ็ ็ฉถ็ฌ่ฎฐใ่กไธๅๆใๆ็ฅๅคๅฟๅฝใๆๆฏ็ฝ็ฎไนฆใๅค็ใๅจๆฅ็ญ้ฟๆๆกฃ๏ผ้็ปๅนถๅไฝไธบๆ็ผ่พๅคๆญใ็ฝ้กต็พๆๅ่ฏๆฎ็งฉๅบ็่ชๅ
ๅซ HTML ไธ้ข้กตใ็จๆท่ฆๆฑโ่ฝฌๆ HTMLโโ็ฝ้กตๅๆฅๅโโ็พๅๆฅๅโโๅๆไธ้ข้กตโโไพฟไบๅไบซโโๆๅๅฏ่ฏปๆง/่ฎพ่ฎกๆโโๆๆฅๅๅๆ็ฝ้กตโๆถไฝฟ็จใๅฟ
้กปๅ
ๅ plan.md ๅๅ HTML๏ผไฟ็ๅๆไบๅฎๆญ่จๅ็ป่ฎบๅผบๅบฆ๏ผไธๅฅๆจกๆฟ๏ผไธๅๆบๆขฐ Markdown ่ฝฌๆขใ/sn-ppt-creativeCreative-mode PPT pipeline. One full-page 16:9 PNG per slide. LLM / VLM calls go through sn-ppt-standard/lib/model_client.py (shared thin client). Text-to-image (the actual png rendering) goes through sn-image-base/scripts/sn_agent_runner.py. Falls back to web image search when/sn-ppt-doctorEnvironment diagnostic for the PPT family. Validates sn-image-base, API keys, Node runtime, and optional deps; interactively writes .env for required vars. Runs before sn-ppt-entry; does not modify sn-image-* skills./sn-ppt-entryEntry point for PPT generation. Asks the user to choose a mode (fast, standard, or creative), then collects role / audience / scene / page_count as needed. For standard mode, also asks how images should be sourced (AI generation, web search, or none), whether charts should use/sn-ppt-standardStandard and fast PPT pipeline. All LLM / VLM / T2I calls are wrapped in a single CLI entry (scripts/run_stage.py). The main agent's job is simple: emit ONE shell command per stage, never write loops, never write prompts. Standard mode plans thoroughly with a three-sample deck/sn-ppt-workbenchOpen the AI PPT editing WebUI for previously generated SenseNova HTML slides. Use when the user asks to preview, inspect, edit, or open an existing/generated PPT deck in the WebUI/workbench without regenerating slides. Accepts an explicit deck_dir or auto-detects the newest/sn-prepare-citations็จไบ็ป็จฟๅฎๆไธ่ๆณจ้่ฆๅๅค็ๆถ๏ผๅป้ [^key] ๅผ็จ๏ผ่ฝฌๆขไธบ [N] ็ผๅท๏ผๅนถ่ฟฝๅ ๅ่ๆ็ฎใ/sn-report-format-discovery็จไบ็ ็ฉถไปปๅก็ๆ็ปๅ็ฐๅฝขๅผๆช็ฅๆถใๆฏ่พ็ ็ฉถๆฅๅใๅญฆๆฏ่ฎบๆใ่กจๆ ผไผๅ
ๆฅ่กจใๅณ็ญๅคๅฟๅฝๆ่ชๅฎไนๅฝขๅผ๏ผๅนถ็จๆๅจๆ ๅไธ็ๅฎ่ไพๆฏๆๆจ่ใ/sn-research-report็จไบๆฐๅๆ็ป็ป็ ็ฉถๆฅๅ็ปๆใๆ่ฏป่
่ฎค็ฅไปปๅก๏ผๅ
จๆฏ/ๅฏนๆฏ/่ฐๆฅ/ๆถๅบ๏ผๅ้ขๅๆฏไพ๏ผๅญฆๆฏ/ๅป็/ๆณๅพ/ๆฟ็ญ๏ผ้ๆฉๆฅๅๆจกๆฟใ/sn-search-academic็จไบๅญฆๆฏ่ฐ็ ใ่ฎบๆ็ฒพ่ฏปใ็ธๅ
ณๅทฅไฝๆขณ็ใ็พ็ง็ฅ่ฏๆฅ่ฏขๅๅผ็จ้พ่ฟฝๆบฏใ/sn-search-code็จไบๆฅๆพไปฃ็ ็คบไพใๅผๆบ้กน็ฎใGitHub Issueใๆๆฏ้ฎ็ญใๅผๅ่
่ฎจ่ฎบใHuggingFace ๆจกๅ/ๆฐๆฎ้/Spaceใ/sn-search-finance็จไบๆ็ดข้่ๅธๅบใ่ฏๅธใไธๅธๅ
ฌๅธๅบๆฌ้ขใไปทๆ ผใK ็บฟใๆซ้ฒๆไปถใ่ดข็ปๆฐ้ปใA ่กๆฐๆฎใๆธฏ่กๆๅ
จ็ ticker๏ผๅฏไฝฟ็จ yfinanceใmootdxใAPI ่ๆฌๆ browser-useใ/sn-search-imageUSE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains./sn-search-market-cnUse when researching China market, industry, macro, trade, procurement, listed-company disclosure, regulation, IP, healthcare, logistics, energy, environment, or industrial-operation information using free official sources with no registration, no API key, and no cryptocurrency/sn-search-social-cn็จไบๆ็ดขไธญๆ็คพไบคๅนณๅฐใ่ๆฌๅ
ฅๅฃ่ฆ็ B็ซ่ง้ขใ็ฅไน้ฎ็ญๅๆ้ณ่ง้ข๏ผๅฐ็บขไนฆใๅพฎๅๅฝๅๆฒกๆ่ๆฌๅ
ฅๅฃ๏ผๅช่ฝ้่ฟ browser-use / ๅ
ฌๅผ็ฝ้กตๅ
ๅบใ/sn-search-social-en็จไบๆ็ดข่ฑๆ็คพไบคๅนณๅฐ๏ผๅ
ๆฌ Reddit ๅธๅญใTwitter/X ๆจๆๅ YouTube ่ง้ขใ/sn-search-social-mediaๆ็ดข็คพๅบใ็คพๅชใๆฐ้ป็ญ็นใ็พ็ง่ถๅฟใๅผๅ่
็ๆๅๆๆฏ่ฎจ่ฎบๆถไฝฟ็จใ/sn-search-year-report็จไบๆ็ดขๅ
่ดนๅฎๆนๅนดๆฅใๅนดๅบฆๆฅๅใๅฎๆๆฅๅใไธๅธๅ
ฌๅธๆซ้ฒๆไปถใๅบๅธๅ่กไบบๆฅๅๅๆตทๅคๅ
ฌๅธๅนดๅบฆ่ดฆ็ฎใ/sn-updateUpdate SenseNova Skills (the sn-* bundle) inside an OpenClaw or hermes-agent install. ALWAYS use this skill when the user says any of: "update SenseNova skills", "update SN skills", "ๆดๆฐ sensenova skills", "ๆดๆฐ sn skills", "ๅทๆฐ sn-*", "ๅ็บง sn-* skills", or names a specific sn-*
Agents
9perspectiveไปฅๅไธ lens ๆฃๆฅๅไธช็ ็ฉถ็ปดๅบฆ่ฆ็็ผบๅฃๅนถๅๅ markdown ๅ้ฆplanๅๆ็ ็ฉถ้ๆฑ๏ผๅปบ็ซ่ฆ็ๆจกๅ๏ผๆ่งฃๅฏๆง่ก็ ็ฉถไปปๅก๏ผ่งๅๆฐๆฎๆบๅๆง่ก้กบๅบreport-plannerๅจ็ ็ฉถ่ฏๆฎๅฎๆๅๅณๅฎไบง็ฉ็ป็ปๆนๅผ๏ผๅนถ็ๆๆ่ฏๆฎ่พน็็ content-unit outlinereport-stitcherๆ evidence-informed organization decision ็ป่ฃ
content units๏ผไธๅผบๅ ๆ็ซ ้ชจๆถreport-writerๆ outline v2 content-unit ๅๅๅไฝ๏ผๆๅจ quick ๆจกๅผ็ดๆฅ็ปผๅ evidenceresearchๆๆๅฎ็ปดๅบฆๆ้่ฏๆฎ๏ผ่พๅบ็ปๆๅ็ evidence.json
Show all 9 agentsShow fewer
reviewๅฎกๆฅๅญๆฅๅ evidence.json ไธๆ็ป content units ๆๅ็่ฏๆฎ่ดจ้ใ็ปๆๅๅๅๅผ็จ่พน็scoutๅจๆญฃๅผ่งๅๅไพฆๅฏ็ ็ฉถๅฐๅฝข๏ผๅนถ่ฐ็จๆ ผๅผๅ็ฐ skill ็ๆๆ็ปๅ็ฐๅฝขๅผๅ้supplement-plannerไป
ๅบไบๅฝๅ็ปดๅบฆๆไปถ่ๅ perspectiveใreview ไธ evidence๏ผไบๅๅฝขๆ่กฅ็ ่ฎกๅ
README
1SenseNova-Skills
English | ็ฎไฝไธญๆ
The SenseNova model family plugs directly into agent runtimes such as OpenClaw and hermes-agent, with the skills in this repository extending the models with concrete, end-to-end office capabilities.
In this repository each skill lives in its own directory and declares triggers, capabilities, and execution flow through a SKILL.md file, following the Agent Skills convention.
The skills cover image generation & visualization, slide-deck (PPT) generation, Excel data analysis, and deep research โ usable standalone or composed into end-to-end workflows.
๐จ Want to see what it can do? Check out our sn-infographic Gallery to explore nearly 100 stunning generation cases and steal their prompt designs !
๐ฆ Available out-of-the-box in Raccoon
The latest SenseNova models and the full Cowork-Skill suite in this repo are bundled into Raccoon, with enterprise-grade security and a zero-setup experience โ if you'd rather not provision env, API keys, and runtimes yourself, you can use these capabilities directly through Raccoon. Free trial available โ no payment required to get started.
Raccoon now ships a full upgrade across product capability and client experience:
- Three core office capabilities, strengthened: powered by SenseNova 6.7 Flash + Cowork-Skill, data analysis, PPT generation, and task planning each take a step up โ covering the full loop from multi-file cleaning/analysis to formal report decks, industry/competitive research, and investment memos.
- New: infographic generation: built on the SenseNova U1 model, compresses complex data, long reports, and business insights into dense, structured, visual infographics that are easier to digest and share.
- New client + local Agent OS: the cloud model handles heavy reasoning and multimodal understanding; the local Agent OS sits next to your files, work context, and personal habits โ delivering a more personalized, local, and secure AI-native office experience.
- Proven at scale: chosen by 15M+ individual users and thousands of enterprise customers.
๐ Try it: xiaohuanxiong.com
How to Use
These skills are designed to run inside an Agent Skills-compatible agent.
- Recommended runtime: pair them with OpenClaw or hermes-agent.
- Recommended LLM: pair them with the SenseNova Platform API โ a free token plan is available.
- Install & configure: follow the full walkthrough in
INSTALL.md.
Recommended: let the agent install the skills for you. Hand it the repo URL and ask it to clone and drop the skills into the right directory โ for example:
"Please install SenseNova-Skills from https://github.com/OpenSenseNova/SenseNova-Skills into your skills directory."
After it finishes, you may need to manually restart the agent service before the new skills are picked up.
| Agent | Target directory |
|---|---|
| OpenClaw | ~/.openclaw/skills/ |
| hermes-agent | ~/.hermes/skills/ |
Clone this repository, then copy the subdirectories under skills/ into the target directory yourself:
git clone https://github.com/OpenSenseNova/SenseNova-Skills.git --depth=1
mkdir -p ~/.openclaw/skills
cp -r SenseNova-Skills/skills/* ~/.openclaw/skills/
For Hermes, swap the target to ~/.hermes/skills/.
Per-category Python dependencies, API keys, and invocation examples are documented in the ๐ Full guide for each section.
Skills List
๐จ Image & Visualization
๐ Full guide: docs/sn-image-generate_en.md (prerequisites, Quick Start, API config, and invocation samples).
| Name | Label | Description |
|---|---|---|
sn-image-doctor | Environment Doctor | Validates the SenseNova-Skills environment โ checks sn-image-base install, Python deps, and required env vars; interactively fills missing values into .env. |
sn-image-base | Image Base Layer (Tier 0) | Low-level tools โ text-to-image (sn-image-generate), image recognition (sn-image-recognize), and text optimization (sn-text-optimize) โ exposed through a unified sn_agent_runner.py, designed to be called by upper-layer skills. |
sn-infographic | Infographic Generation (Tier 1) | Auto prompt-quality scoring, layout/style selection (87 layouts / 66 styles), multi-round generation with VLM review and quality ranking, producing publication-ready infographics. |
sn-image-imitate | Image Imitation (Tier 1) | Given one reference image and a target content prompt, generates a new image that imitates the reference. |
sn-image-resume | Resume Image Generation (Tier 1) | Given resume information, generates a resume image. |
๐ Presentations (PPT)
๐ Full guide: docs/sn-ppt-generate.md (prerequisites, Quick Start, API config, and invocation samples).
| Name | Label | Description |
|---|---|---|
sn-ppt-entry | PPT Entry Point | Unified entry point for PPT generation. Asks the user to choose fast, standard, or creative mode, then collects role / audience / scenario / page count. For standard mode, also asks about image sourcing (AI, web search, or none) and chart rendering (U1 infographics or ECharts). Parses uploaded pdf / docx / md / txt, emits task_pack.json + info_pack.json, and dispatches to the chosen mode. |
sn-ppt-doctor | PPT Environment Doctor | Environment check for the PPT pipeline โ validates sn-image-base, API keys, the Node runtime, and optional deps; writes missing required vars into .env. |
sn-ppt-creative | PPT Creative Mode | One full-page 16:9 PNG per slide, generated via sn-image-generate with a per-page composed prompt. Falls back to web image search when T2I generation fails. |
sn-ppt-standard | PPT Standard & Fast | style_spec โ outline โ asset plan + per-slot images + VLM QC โ per-page HTML โ per-page review โ PPTX export. Fast mode builds a complete draft immediately with autonomous decisions, then provides structured refinement suggestions. Supports AI-generated infographics (U1) for diagrams and web image search (Serper) for real photos. |
๐ Data Analysis (DA)
๐ Full guide: docs/sn-data-analysis.md (prerequisites, Quick Start, API config, and invocation samples).
| Name | Label | Description |
|---|---|---|
sn-da-excel-workflow | Excel Analysis Orchestration | End-to-end Excel pipeline โ multi-sheet read, large-file detection (โฅ10k rows triggers Parquet), cleaning, conditional filtering, cross-sheet aggregation, and Excel/CSV export. |
sn-da-image-caption | Image Understanding & Data Extraction | For image-first inputs โ table OCR, chart understanding, screenshot/UI description; parses captions into DataFrames, recreates visualizations, exports Excel/CSV. |
sn-da-large-file-analysis | High-Performance Large-File Analysis | Streaming reads for โฅ10k-row Excel datasets (openpyxl read_only + iter_rows), Parquet conversion, memory optimization, chunked processing, large-file writes. |
๐ฌ Deep Research
๐ Full guide: docs/sn-deep-research.md (prerequisites, web_search precheck, Quick Start, and per-stage invocation).
| Name | Label | Description |
|---|---|---|
sn-deep-research | Deep Research Entry Point | Unified deep-research orchestrator with true-dependency DAGs, reusable source snapshots, and evidence-informed content units, producing final report.md. |
sn-research-report | Final Report Writing & Editing | Renders the judgment layer into the final report.md; also handles targeted rewrites โ restructuring, polishing, table-augmentation โ for an existing draft. |
sn-report-format-discovery | Presentation-Format Discovery | Compares final forms such as a research report, academic paper, table-first analysis, decision memo, or a custom Markdown form; scout uses it before research and user confirmation. |
sn-prepare-citations | Citation Rendering | Post-processes [^source_id] footnotes into numbered citations and appends references from evidence sources. |
sn-md-to-html-report | Markdown โ HTML Report | Converts the research report.md (or any Markdown doc) into a clean, single-file HTML reading view that opens offline โ embedded images, side-panel TOC, responsive tables, and table-delimiter repair. |
๐ Search
๐ Search skills are documented together with deep research: docs/sn-deep-research.md (includes per-platform API keys, invocation, and unified JSON output).
| Name | Label | Description |
|---|---|---|
sn-search-academic | Academic Search | ArXiv (with section-level HTML reading) / Semantic Scholar (with citation counts) / PubMed (with PMC open-access full text) / Wikipedia, in one aggregated interface. |
sn-search-code | Developer Search | GitHub (repo / code / issue) / Stack Overflow / Hacker News / HuggingFace (models / datasets / spaces), aggregated. |
sn-search-social-cn | Chinese Social Search | Bilibili / Zhihu / Douyin search; some platforms require cookie auth. |
sn-search-social-en | English Social Search | Reddit / Twitter (X) / YouTube search. |
Sample Outputs
๐จ Infographic (sn-infographic)
A few sn-infographic outputs (more in docs/sn-infographic-examples.md).
๐งฉ Memory price analysis โ insight โ analysis โ presentation โ end-to-end workflow
examples/memory-price-end2end-analysis. Starting from a raw quote CSV, the agent profiles fields, normalizes categories and timestamps, then attacks the rally from three angles โ overall trend, top movers per category, and the gap between server-grade and consumer-grade SKUs โ locating a late-February inflection along the way. Treating those findings as the research question, it switches to deep research: planning per-dimension web searches over supply contraction, AI-server demand, and vendor output discipline, then triaging and cross-checking evidence across sources before committing it to the report. The data and research conclusions are then handed to PPT generation, which lays out a 16-page outline, plans per-slot imagery, renders per-page HTML, runs VLM review, and finally composites screenshots into the PPTX. The result is a clear three-step storyline: prices are rising โ here is why โ here is what to do. This is the only example that exercises the full data analysis โ deep research โ PPT chain end-to-end.
- Depends on:
sn-da-excel-workflow,sn-deep-research,sn-ppt-entry,sn-ppt-standard,sn-md-to-html-report
๐ Employee performance analysis โ data analysis
examples/employee-performance-analysis. The agent reads 10 separate monthly review xlsx files, aligns column schemas across months and joins them into one longitudinal table. From that table it produces aggregate views โ monthly average trend, score-distribution boxplots, grade mix change, and a 38-role ranking โ and individual views โ top performers, needs-attention, and consistently-improving cohorts plus per-employee year trends. The findings are written up with explicit improvement suggestions tied to specific roles and individuals, backed by 8 supporting charts. The same content is delivered as a Word doc (for distribution) and a visualized HTML report (for browsing). The example shows how sn-da-excel-workflow handles "many small spreadsheets that should be one analysis" rather than a single big file.
- Depends on:
sn-da-excel-workflow
๐ฌ Embodied AI industry research โ deep research
examples/embodied-ai-deep-research. Given only an industry name, the agent first commits to a research plan โ market size, vendor share, financing, cost structure, development roadmap โ instead of jumping straight into search. For each dimension it runs targeted web searches, fetches and reads source pages, and extracts both numeric and qualitative evidence; conflicting figures across sources are explicitly reconciled before being trusted. A synthesis stage organizes per-dimension evidence into a traceable, reader-oriented information structure rather than a stack of disconnected bullets. The output is an illustrated report (Markdown + visualized HTML) with 5 dimension-specific charts. The example shows how sn-deep-research turns "go research X" into a structured plan-then-execute loop with traceable evidence.
- Depends on:
sn-deep-research
๐ฏ Property fee pricing โ PPT generation
examples/property-fee-pricing-ppt. The agent takes a free-form brief โ topic (property fee pricing), audience (property staff + committee), 26 pages, black-and-white warm style โ and first commits to an outline plus a per-page asset plan that conforms to the style spec. Each slide is then built as semantic per-page HTML rather than free-form image generation: copy, layout, illustrations, icons, and any data charts are reasoned about per slot. Imagery is produced or selected per slot and VLM-checked against the page's intent; each rendered page goes through a review pass with optional rewrite for coherence and copy quality. Final pages are screenshotted and composited into the PPTX, with the per-page HTML kept alongside for direct browser preview or re-editing. The example demonstrates sn-ppt-standard style consistency on a long, prose-heavy deck where every slide must obey the same audience and palette constraints.
- Depends on:
sn-ppt-entry,sn-ppt-standard
FAQ
Common setup and runtime questions (400/401 errors, rate limits, PPT timeouts, infographic quality, model names) are answered in docs/faq.md.
Contributing
Feel free to use the skills here as templates for your own OpenClaw skills. The qualities that make a skill good:
- Clear triggers: state in
descriptionexactly when the skill should and should not run, so the agent recognizes it accurately - Focused scope: each skill does one thing well; complex workflows compose multiple skills
- Solid documentation: examples, artifact contracts, edge cases, failure handling
- Supporting resources: use
references/,scripts/,prompts/to provide additional context
Join the Community
Join our growing community to share feedback, get support, and stay updated on the latest developments. Scan the QR code below to hop into the chat โ we'd love to hear from you!
License
MIT โ see LICENSE.
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598OpenSenseNova/SenseNova-SkillsView on GitHub
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capability/
excel-cell-coloring/
category-coloring/
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outlier-coloring/
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schemas/
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exceptions.py
generation/
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core/
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openai_image.py
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llm/
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anthropic_adapter.py
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utils/
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... 363 moreFAQ
sensenova-skills is a Claude Code plugin with 76 hand-picked skills for productivity work, indexed on Flowy. Install it with the command on its page. It includes sn-da-excel-workflow, category-coloring, duplicate-value-coloring. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
- What is sensenova-skills?
- The SenseNova model family plugs directly into agent runtimes such as OpenClaw and hermes-agent, with the skills in this repository extending the models with concrete, end-to-end office capabilities.
- How do I install sensenova-skills?
- Run these in Claude Code: npx -y skills add OpenSenseNova/SenseNova-Skills --agent claude-code. Then prompt normally.
- Does sensenova-skills auto-invoke its skills?
- Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
- Is sensenova-skills free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.