Skip to content
mcp/skillhub

Agent Skill

Sn Update skill

sn-updateOpenSenseNova/SenseNova-Skillsskills/sn-update/SKILL.md

Update 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", "更新 sensenova skills", "更新 sn skills", "刷新 sn-*", "升级 sn-* skills", or names a specific sn-* skill to update (e.g. "更新 sn-ppt-standard", "refresh sn-image-base"). Default scope is the whole sn-* bundle; if the user names specific skills, update ONLY those.

5.8kMIT

always on

118 tokname + description

once used

1,232 tokSKILL.md body

bundled files

0

repo stars

5.8kGitHub

Install the Sn Update skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill sn-update

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git /tmp/SenseNova-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/SenseNova-Skills/skills/sn-update ~/.claude/skills/sn-update

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description118 tok
When the agent uses itThe SKILL.md instructions1,232 tok
Only if openedNo bundled files—

Until it is used, sn-update costs about 12× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 83 skills from OpenSenseNova/SenseNova-Skills would load 5,827 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • sn-update
  • Decide the scope
  • Decide the target agent
  • Sync the upstream repo
  • Compare versions per skill (A → B → C)
  • Install with backup
  • Enforce backup retention
  • Report to the user
  • Edge cases

More skills from OpenSenseNova/SenseNova-Skills

All skills in this repo
  1. category-filtering-and-difficulty-analysisOpenSenseNova/SenseNova-Skills

    对Excel数据进行自定义分类统计、交叉分析与可视化，并基于多维度指标（如文本长度、术语密度、正则匹配等）进行综合评分与分级，适用于多类别数据分布统计及文本内容难度/质量评估场景。

    5.8k74 tok idle · 2,016 in use
  2. category-statisticsOpenSenseNova/SenseNova-Skills

    提取指定类别列并统计各类别数量与占比，生成高分辨率的柱状图、饼图等组合可视化报告，适用于分类数据的分布情况分析。

    5.8k48 tok idle · 1,528 in use
  3. chart-embedded-exportOpenSenseNova/SenseNova-Skills

    从结构化数据中提取分类分布执行清洗与统计，生成多维度交叉分析、高分辨率对比图表及包含下载链接的完整分析报告，适用于大文件处理与嵌入式可视化场景。

    5.8k62 tok idle · 1,320 in use
  4. dynamic-large-file-parquet-analysisOpenSenseNova/SenseNova-Skills

    动态统计Excel总行数，当数据量过大（≥10000行）时自动转换为Parquet格式加速读取，并对指定目标列进行条件筛选、分类汇总与结果导出，适用于超大体积Excel文件的快速读取与统计分析。

    5.8k68 tok idle · 516 in use
  5. dynamic-percentage-and-large-file-analysisOpenSenseNova/SenseNova-Skills

    根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。

    5.8k60 tok idle · 912 in use
  6. excel-bar-chart-visualizationOpenSenseNova/SenseNova-Skills

    读取多工作表Excel文件，自动处理合并单元格与数据清洗，进行交叉分组统计并生成带总计行的结果表，最后绘制支持中英文字体的美化柱状图，适用于多维度数据汇总与可视化分析。

    5.8k72 tok idle · 1,102 in use
  7. excel-basic-statistics-and-routingOpenSenseNova/SenseNova-Skills

    对多Sheet Excel文件进行基础统计与，支持按条件筛选计算均值，以及从指定行区间提取数据去重求和，并生成结果文件与下载链接。

    5.8k46 tok idle · 900 in use
  8. excel-conditional-filtering-optimizationOpenSenseNova/SenseNova-Skills

    根据多维数值条件筛选 Excel 数据并导出结果，支持大规模数据的自动性能优化处理。

    5.8k33 tok idle · 702 in use