<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Feishu on Top AI Skills</title><link>https://topaiskills.com/tags/feishu/</link><description>Recent content in Feishu on Top AI Skills</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://topaiskills.com/tags/feishu/index.xml" rel="self" type="application/rss+xml"/><item><title>I Let AI Handle My Team's Approval Workflow for a Week — Here's What Happened</title><link>https://topaiskills.com/tutorials/guides/ai-approval-workflow-experiment/</link><pubDate>Fri, 17 Jul 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/guides/ai-approval-workflow-experiment/</guid><description>&lt;p&gt;I handed my AI agent control over our team&amp;rsquo;s approval workflow for five days. Expense reports, leave requests, purchase orders — all processed through an AI skill. Here is what went right, what broke, and whether I would do it again.&lt;/p&gt;
&lt;h2 id="why-i-decided-to-try-this"&gt;Why I Decided to Try This&lt;/h2&gt;
&lt;p&gt;Our team runs on Lark. I manage a group of fifteen engineers, a couple of product managers, and a rotating cast of interns. Every week brings a steady stream of approval requests. Leave applications, hardware purchase requests, conference travel approvals, expense reports from team lunches — the kind of administrative overhead that is simple but constant.&lt;/p&gt;</description></item><item><title>I Let My AI Agent Manage Lark Documentation for a Week — Here's What Happened</title><link>https://topaiskills.com/tutorials/guides/lark-doc-narrative-experience/</link><pubDate>Sun, 05 Jul 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/guides/lark-doc-narrative-experience/</guid><description>&lt;h2 id="why-i-put-documentation-on-the-chopping-block"&gt;Why I Put Documentation on the Chopping Block&lt;/h2&gt;
&lt;p&gt;Our team lives inside Lark (Feishu). Meeting notes, technical specs, project briefs, onboarding guides — it is all in Lark documents. And like most teams that use collaborative docs heavily, we have a mess: 40+ documents scattered across spaces with inconsistent naming conventions, outdated meeting notes that nobody archived, and a growing pile of &amp;ldquo;untitled document&amp;rdquo; orphans that were created during a call and never revisited.&lt;/p&gt;</description></item><item><title>Lark Base AI Skill: 12 Questions About Using It</title><link>https://topaiskills.com/tutorials/guides/lark-base-faq/</link><pubDate>Thu, 25 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/guides/lark-base-faq/</guid><description>&lt;p&gt;The Lark Base skill is one of 26 agent skills in the &lt;a href="https://github.com/larksuite/cli" rel="nofollow" target="_blank"&gt;larksuite CLI&lt;/a&gt;. It gives your AI agent structured access to Lark Base — the spreadsheet-database hybrid in Lark&amp;rsquo;s productivity suite — so it can query records, create tables, manage fields, and run data analysis through natural language. Below are the questions people actually ask once they start using it.&lt;/p&gt;
&lt;h2 id="what-is-lark-base-and-how-does-the-skill-connect-to-it"&gt;What is Lark Base and how does the skill connect to it?&lt;/h2&gt;
&lt;p&gt;Lark Base (formerly called Bitable) is a spreadsheet-database hybrid inside the Lark/Feishu suite. Think of it as a relational database with a spreadsheet front-end — you get rows, columns, field types, formulas, lookups, and views, but the interface looks like a table anyone on your team can edit. Teams use it to track projects, manage customer data, inventory, content calendars, and anything else that needs structure.&lt;/p&gt;</description></item><item><title>Lark Base</title><link>https://topaiskills.com/skills/automation/lark-base/</link><pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/skills/automation/lark-base/</guid><description>&lt;h2 id="what-it-is"&gt;What It Is&lt;/h2&gt;
&lt;p&gt;A skill inside the larksuite CLI that gives your AI agent structured access to Lark Base — the spreadsheet-database hybrid in Lark&amp;rsquo;s productivity suite. Your assistant can query records, create and update rows, list tables, and search across bases, all through natural language instead of clicking through the web UI or writing raw API calls.&lt;/p&gt;
&lt;h2 id="whats-actually-different"&gt;What&amp;rsquo;s Actually Different&lt;/h2&gt;
&lt;p&gt;Most database queries from an AI agent require either a SQL connection string in your environment or a custom API wrapper that breaks every time the schema changes. Lark Base uses the same shared authentication as the other 25 skills in the larksuite CLI — the same login that reads documents, manages wikis, and creates calendar events also handles Base operations. Compared to setting up a direct database connection, you get row-level access control through Lark&amp;rsquo;s permission model, schema-aware queries that respect field types, and no credential sprawl across your tooling.&lt;/p&gt;</description></item><item><title>Lark Doc vs Lark Wiki: Which LarkSuite Skill Do You Need?</title><link>https://topaiskills.com/tutorials/comparison/lark-doc-vs-lark-wiki/</link><pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/comparison/lark-doc-vs-lark-wiki/</guid><description>&lt;h2 id="the-honest-verdict-up-front"&gt;The Honest Verdict Up Front&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Install Lark Doc if your team lives in freeform documents. Install Lark Wiki if your knowledge lives in structured wikis. Install both if you use both.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;This is not a competition where one skill is inherently better. They solve different problems with overlapping toolsets, and the right choice depends entirely on how your team organizes information inside Lark. After working through both skills in the larksuite CLI, I can tell you the practical difference comes down to one question: are you searching for a document or navigating a knowledge tree?&lt;/p&gt;</description></item><item><title>How to Install and Use LarkDoc: Read and Write Lark Documents with AI</title><link>https://topaiskills.com/tutorials/guides/lark-doc/</link><pubDate>Sat, 20 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/tutorials/guides/lark-doc/</guid><description>&lt;h2 id="what-this-gets-you"&gt;What This Gets You&lt;/h2&gt;
&lt;p&gt;This tutorial walks through installing LarkDoc — a skill inside the larksuite CLI that gives your AI agent direct access to Lark (Feishu) documents. By the end, your assistant will be able to fetch document content, create new docs, append or update blocks, insert images, and generate whiteboards — all through natural language. The process takes about 15 minutes if you already have a Lark tenant, or 20 minutes if you need to create one.&lt;/p&gt;</description></item><item><title>Lark Wiki</title><link>https://topaiskills.com/skills/automation/lark-wiki/</link><pubDate>Sat, 20 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/skills/automation/lark-wiki/</guid><description>&lt;h2 id="what-it-is"&gt;What It Is&lt;/h2&gt;
&lt;p&gt;Lark Wiki is the knowledge base skill from larksuite&amp;rsquo;s CLI ecosystem — it lets your AI coding assistant search wiki pages, fetch content, create new pages, and manage Lark/Feishu wikis without leaving the terminal. Think of it as having a permanent read-write connection to your team&amp;rsquo;s internal documentation, accessible from any prompt.&lt;/p&gt;
&lt;h2 id="whats-actually-different"&gt;What&amp;rsquo;s Actually Different&lt;/h2&gt;
&lt;p&gt;The Lark suite spreads across five separate products — Docs, Wiki, Base, Sheets, and Calendar — each a different skill under the same CLI. Lark Wiki specifically handles the tree-structured knowledge base: search across wikis, read page trees, create new pages with markdown content, and list recent updates. What sets it apart from a generic browser-based wiki approach is that your AI agent can search and retrieve wiki content mid-conversation, then reference it in code or decisions without you tabbing out. Compared to exporting wikis as PDFs or copy-pasting, the feedback loop collapses to zero.&lt;/p&gt;</description></item><item><title>LarkDoc</title><link>https://topaiskills.com/skills/automation/lark-doc/</link><pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/skills/automation/lark-doc/</guid><description>&lt;h2 id="what-it-is"&gt;What It Is&lt;/h2&gt;
&lt;p&gt;A skill inside the larksuite CLI that gives your AI agent direct access to Lark (Feishu) documents. Your assistant can fetch document content, create new docs, append or update blocks, insert images, and generate whiteboards — all through natural language commands instead of clicking through the web UI.&lt;/p&gt;
&lt;h2 id="whats-actually-different"&gt;What&amp;rsquo;s Actually Different&lt;/h2&gt;
&lt;p&gt;Most document automation tools require custom API wrappers or Zapier-style integrations that break on the first auth refresh. This skill is part of a purpose-built CLI with 200+ commands and 26 agent skills, all sharing a single authentication session. The same login that lets your agent read a document also lets it create Base records, manage calendar events, and send chat messages. Compared to building bespoke API calls, you get a tested, maintained integration that stays in sync with Lark&amp;rsquo;s platform updates.&lt;/p&gt;</description></item></channel></rss>