> For the complete documentation index, see [llms.txt](https://docs.tessl.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tessl.io/tutorials.md).

# Tutorials

- [Overview](https://docs.tessl.io/tutorials/tutorials.md): End-to-end walkthroughs for the most common agentic-development workflows on Tessl.
- [Using Tessl as a package manager](https://docs.tessl.io/tutorials/using-tessl-as-a-package-manager.md): Use Tessl as a package manager for agent context: find and install skills, keep them up to date, and publish your own to a workspace.
- [Protecting yourself from insecure skills](https://docs.tessl.io/tutorials/protecting-against-insecure-skills.md): Inventory the skills running across your org, read their Snyk-powered security scores, and use install policies to block risky skills before they reach a developer.
- [Codifying and enforcing your company's skill standards](https://docs.tessl.io/tutorials/codifying-and-enforcing-skill-standards.md): Capture your team's quality bar as a custom review rubric and enforce it on every skill in CI.
- [Improving a skill](https://docs.tessl.io/tutorials/improving-a-skill.md): Use reviews and evals to measure a skill's impact, find what's holding it back, and ship an improvement with evidence.
- [Setting up agentic code review](https://docs.tessl.io/tutorials/setting-up-agentic-code-review.md): Set up the Tessl Agent to review pull requests against your team's skills, locally and in CI.
- [Improving agent code quality](https://docs.tessl.io/tutorials/improving-agent-code-quality.md): Turn recurring agent mistakes into fixes. Mine PRs and session logs with the Tessl Agent, then prove the fix with evals.
- [Automating repetitive tasks](https://docs.tessl.io/tutorials/automating-repetitive-tasks.md): Identify repetitive work in your development loop and turn it into repeatable, automated workflows with the Tessl Agent.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.tessl.io/tutorials.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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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.
