Skills

Data & analysis skills — Page 4

Analysis skills that turn raw tables into answers — SQL generation, dataset profiling, chart specifications and reporting pipelines. Useful when the agent needs a method, not just database access.

Run a full double-entry bookkeeping cycle from plain-English prompts; every transaction balances.

35 installs2 stars

Query Lingxing ERP data across 373 OpenAPI endpoints through a CLI wrapper that calls Lingxing's official domain directly.

15 installs

Find, authenticate, and configure the external system connectors Cargo workflow nodes need.

14 installs

Manage iOffice buildings, rooms, visitors, maintenance, moves, and mail through natural-language commands.

13 installs

Generate interactive dashboards, data visualizations, and web apps from natural-language prompts.

155 installs5 stars

Multi-criteria Amazon product search powered by Keepa data, filtering by sales, price, BSR, reviews and more.

13 installs

Operate Postqued social publishing from your agent via MCP, with a v2 REST fallback.

42 installs2 stars

Daily curated briefing of 8 notable ClawHub AI Agent Skills, with optional Lark or IMA push.

10 installs1 stars

Get structured A-share briefings with stop-loss tiers, intraday signals, and margin checks across portfolio, single-stock, and comparison modes.

33 installs1 stars

Operate Flink/Ververica Console workspaces — SQL drafts, deployments, jobs, and session clusters — via a single Python CLI script.

13 installs

Look up concert setlists, tour histories, and live-show data on setlist.fm through natural-language MCP tools.

12 installs

Generate KWDB SQL from natural language for time series, relational, and cross-model queries.

10 installs

Read funnels, paths, retention, and experiments from your product, then get the next smallest growth action.

163 installs2 stars

Reference patterns for TanStack Query, Router, and Start in full-stack React apps.

22 installs1 stars

Generate editable ProcessOn diagrams from natural language, covering flowcharts, architecture diagrams, and ER diagrams.

31 installs1 stars

Query RootData's Web3 database for crypto projects, investors, funding rounds, trending picks, and personnel moves.

41 installs3 stars

About Ottermind skills

This page collects every skill filed under Data & analysis. Browsing by category is usually more productive than searching when you know the kind of work you want to automate but not yet which specific approach fits.

Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.

A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.

What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.