# Workflows

- [What is a Workflow?](https://docs.katara.ai/about/workflows/what-is-a-workflow.md): A Workflow connects multiple Agents into a pipeline. Katara offers Agents as building blocks to assemble and deploy Workflows for automated tasks.
- [Community Analytics](https://docs.katara.ai/about/workflows/community-analytics.md): Understand your community’s discussion topics by building a global taxonomy from chat and content, enabling deep segmentation and targeted messaging.
- [Content Improvement with Gap Analysis](https://docs.katara.ai/about/workflows/content-improvement-with-gap-analysis.md): Use Katara to identify documentation gaps, reduce developer frustration, and save support time by leveraging community data and expert input for content updates.
- [Adopt Diátaxis](https://docs.katara.ai/about/workflows/adopt-diataxis.md): Improve your documentation using the Diataxis framework. Diataxis is a technical writing method with four content types—How-to guides, Tutorials, Explanations, and References.
- [Community Support](https://docs.katara.ai/about/workflows/questions-and-answers-q-and-a.md): Use Katara to automate answering community questions on native platforms based on your curated data collection(s) - this can include technical docs, website copy, blogs, code repos, and more.
- [Content Improvement](https://docs.katara.ai/about/workflows/content-improvement.md): Identifies documentation gaps using taxonomy and classification agents, analyzing community data to suggest content improvements and topic coverage.
- [Community News Summaries](https://docs.katara.ai/about/workflows/community-news-summaries.md): Summarizes community chats by topic and sentiment from Discord, Slack, and Telegram, giving teams a clear view of key discussions and trends.
- [Backtesting](https://docs.katara.ai/about/workflows/backtesting.md): Backtesting runs bulk queries on historical data to assess doc accuracy, revealing gaps so admins can improve project documentation effectively.
- [Taxonomy Builder](https://docs.katara.ai/about/workflows/taxonomy-builder.md): The Taxonomy Builder creates a structured hierarchy from your project docs using loaders and the Taxonomy Agent to improve search and content organization.
- [Content Methodology / Framework](https://docs.katara.ai/about/workflows/content-methodology-framework.md): This workflow classifies content by frameworks like Diataxis or DITA, organizing docs into clear categories (e.g., tutorials, references) for better clarity and reuse.
- [Topic Classifier](https://docs.katara.ai/about/workflows/topic-classifier.md): The Topic Classifier categorizes content by topics for easier search and organization. It uses loaders and ML to group docs by themes like "API" or "Auth."
- [Template Workflow](https://docs.katara.ai/about/workflows/template-workflow.md): Template for documenting workflows: purpose, prerequisites, steps, inputs, outputs, usage, examples, troubleshooting, logs, and related workflows.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.katara.ai/about/workflows.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.