Wechat Gzh Analyzer
openocta/openocta_skills
分析微信公众号后台数据，包括文章阅读量、评论、点赞等统计。当用户需要分析微信公众号数据、导出公众号文章统计报表时调用此技能。
飞书电子表格：创建和操作电子表格。支持工作表与行列结构（增删/合并/尺寸/隐藏/冻结/分组）、单元格读写（值/公式/样式/批注/单元格图片）、区域复制移动排序填充、查找替换、批量更新，图表、透视表、条件格式、筛选器与筛选视图、下拉列表、迷你图、浮动图片等对象的创建与维护，以及公式校验、历史版本回滚、本地 Excel/CSV…
Install Lark Sheets
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills lark-sheets --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .claude/skills/lark-sheets && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .claude/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheetsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills lark-sheets --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .agents/skills/lark-sheets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .agents/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills lark-sheets --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .cursor/skills/lark-sheets && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .cursor/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/infometa/workbuddyskills.git --path connectors/feishu/skills/lark-sheets--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills lark-sheets --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .gemini/skills/lark-sheets && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .gemini/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install infometa/workbuddyskills lark-sheetsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .github/skills/lark-sheets && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .github/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill lark-sheets -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills lark-sheets --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/feishu/skills/lark-sheets .opencode/skills/lark-sheets && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lark-sheets" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/feishu/skills/lark-sheets into .opencode/skills/lark-sheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-sheets", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lark-sheets- GitHub stars
- 346
- Token cost
- ~3.9k tokens
- SKILL.md length
- 848 words
- Files
- 31 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
飞书电子表格：创建和操作电子表格。支持工作表与行列结构（增删/合并/尺寸/隐藏/冻结/分组）、单元格读写（值/公式/样式/批注/单元格图片）、区域复制移动排序填充、查找替换、批量更新，图表、透视表、条件格式、筛选器与筛选视图、下拉列表、迷你图、浮动图片等对象的创建与维护，以及公式校验、历史版本回滚、本地 Excel/CSV…
- Works in 9 steps: 最小改动：用户没点名要删 / 改名 / 隐藏时，已有 Sheet… → 目标子表与回读断言：先确认真实末行与目标区域；未点名子表时只从… → 公式闭环：可推导值写落格公式，不用静态值代替——用 Python… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 场景 → 命令速查, 飞书表格编辑准则, References and 公共 flag 速查
- Tasks that involve Excel spreadsheets
What it does
Lark Sheets is an agent skill from infometa/workbuddyskills. 飞书电子表格：创建和操作电子表格。支持工作表与行列结构（增删/合并/尺寸/隐藏/冻结/分组）、单元格读写（值/公式/样式/批注/单元格图片）、区域复制移动排序填充、查找替换、批量更新，图表、透视表、条件格式、筛选器与筛选视图、下拉列表、迷你图、浮动图片等对象的创建与维护，以及公式校验、历史版本回滚、本地 Excel/CSV 与飞书表格的导入导出。当用户需要创建或编辑表格、统计汇总与可视化、表格美化、公式计算（含 Excel 公式迁移）、金融/财务建模（DCF、三张表、预算、Sensitivity 等）时使用。多维表格（Base/bitable）请改用 lark-base；若用户是想按名称或关键词搜索云空间（云盘/云存储）里的表格文件，请改用 lark-drive 的 drive +search 先定位资源。当用户给出 doubao.com 的 /sheets/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 31 other files, including scripts and reference files (for example `references/lark-sheets-batch-update.md`, `references/lark-sheets-changeset.md` and `references/lark-sheets-chart.md`).
It sits in Documents & Office, covering Messaging and chat bots and Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Tasks that involve Messaging and chat bots
- Tasks that involve Excel spreadsheets
Example prompts
- “/lark-sheets”
Requirements
- Python 3
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- 最小改动：用户没点名要删 / 改名 / 隐藏时，已有 Sheet 一张不动；补齐只写空格，未要求调整的值 / 结构 / 格式不动。
- 目标子表与回读断言：先确认真实末行与目标区域；未点名子表时只从 resource_type=sheet && is_hidden=false 的可见网格候选里选，唯一才自动使用，多张不得按 index 猜。涉及"所有 / 每个…
- 公式闭环：可推导值写落格公式，不用静态值代替——用 Python 算好数值再写进单元格，交付的是改输入不重算的死表；Python 只用于推导和验证，落进单元格的必须是引用其他格的公式。写前确认字段语义、阈值边界（以上/至少=>=，超过/大于=>）、单位/时区和完整源范围，选首中…
- 完整继承样式：新增行列时禁止只读值只写值——原表字体、对齐、底色（含奇偶行交替）、四边框都延续到新区域。物理插入行 / 列用 +dim-insert --inherit-style before|after（原生继承，比补刷可靠）；往已有空白区域扩写（如在数据右侧加新列）用…
- 原子操作：排序用 +range-sort，--range 覆盖完整记录宽度，排序列只写进 --sort-keys；删除记录用 +dim-delete，清空内容 / 格式才用 +cells-clear；禁止读值后用 +csv-put 覆盖来模拟排序 /…
- 标色分流：数据变化后应自动重算的高亮 / 标红用条件格式，已确定结果的固定标注用静态样式，装饰性美化按视觉规范。两条路径取色字段用同一判据：用户中文语境下的"标红 / 染色 / 标记"指单元格背景色，"文字红 / 字体红 /…
- 产物可核对：用户点名的 sheet 名与数量、表头、标题、图例、文件名、口径逐字保留；回复中每项“已完成”都能定位到产物，缺口逐项声明。
- 替换与新增：批量替换 / 删除后搜索确认无残留；新增列要有表头，单位 / 口径另置，不占原表头或数据格。
- 不编造：表外数据须有可核验来源，不用常识或名称推断伪造公司、标准值、行情或法规参数；没有来源就留空——凭记忆填的数值大概率与真实值对不上，比留空更糟。留空的格在交付说明里逐项列出格址与缺的来源，不要只写一句"部分数据缺失"。
What it can do on your machine
Read from SKILL.md and the folder at commit 692b3eb. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lark Sheets loads about 3.9k tokens when it runs, and up to ~101k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 848 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 848 words (~3,892 tokens).
“CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理。”
- name
- lark-sheets
- version
- 3.5.2
- metadata.cliHelp
- lark-cli sheets --help
Files
SKILL.md and 30 other files (scripts, references) in connectors/feishu/skills/lark-sheets of infometa/workbuddyskills.
- SKILL.md
- references/lark-sheets-batch-update.md
- references/lark-sheets-changeset.md
- references/lark-sheets-chart.md
- references/lark-sheets-conditional-format.md
- references/lark-sheets-filter-view.md
- references/lark-sheets-filter.md
- references/lark-sheets-float-image.md
- references/lark-sheets-formula-translation.md
- references/lark-sheets-formula-verify.md
- references/lark-sheets-history.md
- references/lark-sheets-pivot-table.md
- references/lark-sheets-range-operations.md
- references/lark-sheets-read-data.md
- references/lark-sheets-search-replace.md
- references/lark-sheets-sheet-structure.md
- references/lark-sheets-sparkline.md
- references/lark-sheets-styles-put.md
- references/lark-sheets-visual-standards.md
- references/lark-sheets-workbook.md
- … and 11 more
Open the folder on GitHubat commit 692b3eb
Compare with similar skills
Lark Sheets next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lark Sheets this skillinfometa/workbuddyskills | 346 | — | ~3.9k | Automated safety check: Pass | None | |
| Wechat Gzh Analyzeropenocta/openocta_skills | 166 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Lark Driverongxinzy/RongxinAI | 154 | 3 repos | ~4.5k | Automated safety check: Pass | AGPL-3.0 | |
| Lark Sheetsrongxinzy/RongxinAI | 154 | 2 repos | ~5.3k | Automated safety check: Pass | AGPL-3.0 | |
| Lark Driveappleweiping/WEIPING_WIKI | 119 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence |
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Related
Works with
Questions about Lark Sheets
What does Lark Sheets do?
飞书电子表格：创建和操作电子表格。支持工作表与行列结构（增删/合并/尺寸/隐藏/冻结/分组）、单元格读写（值/公式/样式/批注/单元格图片）、区域复制移动排序填充、查找替换、批量更新，图表、透视表、条件格式、筛选器与筛选视图、下拉列表、迷你图、浮动图片等对象的创建与维护，以及公式校验、历史版本回滚、本地 Excel/CSV…. Lark Sheets is an agent skill from infometa/workbuddyskills.
When should I use Lark Sheets?
Lark Sheets fits situations like: tasks that involve Messaging and chat bots; tasks that involve Excel spreadsheets.
How do I install Lark Sheets in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill lark-sheets -a claude-code`. Or copy the skill folder (connectors/feishu/skills/lark-sheets in infometa/workbuddyskills) into .claude/skills/lark-sheets in your project. Claude Code loads it when a task matches its description.
How do I install Lark Sheets in Codex?
Run `npx skills add infometa/workbuddyskills --skill lark-sheets -a codex`. Or copy the skill folder (connectors/feishu/skills/lark-sheets in infometa/workbuddyskills) into .agents/skills/lark-sheets in your project. Codex loads it when a task matches its description.
Can I use Lark Sheets in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill lark-sheets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-sheets, .gemini/skills/lark-sheets, .github/skills/lark-sheets and .opencode/skills/lark-sheets in your project.
What does Lark Sheets need to run?
SKILL.md names no scripts, command-line tools or credentials: Lark Sheets is instructions for the agent only. Our summary lists: Python 3.
Does Lark Sheets access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Lark Sheets safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Lark Sheets use?
No licence was found for Lark Sheets or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Lark Sheets use?
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 97k tokens, read only when the agent opens those files.
What are the alternatives to Lark Sheets?
Skills that share tags, products or a category with Lark Sheets: Wechat Gzh Analyzer (openocta/openocta_skills, 166 stars), Lark Drive (rongxinzy/RongxinAI, 154 stars), Lark Sheets (rongxinzy/RongxinAI, 154 stars) and Lark Drive (appleweiping/WEIPING_WIKI, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lark Sheets?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 346 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 8, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.