Skills and Playbooks: Building Your Content Automation Stack

DesignTech AI organizes automation into two primitives: Skills and Playbooks. Understanding how to configure and compose them is the key to building a content automation stack that actually works for your team.

What Are Skills?

A Skill is a reusable AI agent configuration that performs one well-defined task. Think of it as a function: input goes in, output comes out. Examples include:

• Extract text from a PDF document
• Generate a blog post from a content brief
• Resize and crop an image to platform specifications
• Translate copy into a target language
• Check content against brand guidelines

Each Skill has a specific AI model powering it, a set of configuration parameters (temperature, max tokens, style instructions), and defined input/output schemas.

What Are Playbooks?

A Playbook chains multiple Skills together into a multi-step production workflow. It defines the order of operations, how data flows between steps, and what happens when a step fails or needs human review.

For example, a "Blog to Social" Playbook might chain these Skills:

1. Summarize — Extract key points from a blog post
2. Adapt for Platform — Generate platform-specific copy (Twitter thread, LinkedIn post, Instagram caption)
3. Brand Check — Validate output against brand guidelines
4. Generate Visuals — Create accompanying graphics using brand assets
5. Format & Deliver — Package assets for each platform's requirements

Configuring Your First Skill

Start with your highest-volume, most repetitive task. For most teams, that's content repurposing — taking a long-form asset and creating variants for different channels. Configure the input schema to accept your source content format, set the output schema to match your channel requirements, and tune the AI model parameters until the output quality matches your standards.

Adding References

References are example inputs and outputs that guide the AI's behavior. You can add references as:

• Uploaded files — PDFs, images, or text files that show the AI what good output looks like
• Text blocks — Inline examples of desired output format, tone, or structure
• URLs — Paste any public URL and the platform automatically scrapes and extracts the content as a reference. This makes it easy to use competitor examples, industry benchmarks, or published samples without manual copying.

The more high-quality references you provide, the more consistently the skill performs. Reference examples are particularly valuable for format-sensitive outputs like press releases, regulatory copy, and technical documentation.

Execution Timeout Configuration

Long-running skills — complex analysis, multi-section generation, large document processing — can timeout if not configured correctly. Each skill template supports a configurable execution timeout (in milliseconds). Set this to an appropriate value for the complexity of your task:

• Simple text generation: 30–60 seconds is typically sufficient
• Multi-section documents: 120–180 seconds
• Complex analysis with large inputs: 300+ seconds

If a skill regularly hits timeout errors, increasing this value is the first troubleshooting step. The default timeout is configured at the organization level and can be overridden per template.

Building Your First Playbook

Once you have 3–5 Skills that work reliably, start composing them into Playbooks. The key is defining clear handoff points between steps and setting up error handling: what happens if the brand check fails? Does it auto-retry with adjusted parameters, or route to a human reviewer?

Error handling policies per step:

• Stop playbook — Halt the entire run if this step fails
• Stop and notify — Halt and alert specified users
• Continue — Proceed to the next step regardless of failure

Scaling Up

The power of this architecture is composability. Once your Skills library grows, new Playbooks become easy to build. Teams typically start with 2–3 Playbooks and grow to 15–20 within their first quarter, covering everything from content repurposing to localization to campaign asset generation.

Exposing Playbooks as Project Types

Any playbook can be exposed as a project type — a structured intake form that clients or team members submit to kick off the workflow. Enable "Expose as project type" in the playbook settings, configure the intake questions, and the playbook becomes available as a project template.

This is how agencies and studios manage client work: each engagement type maps to a playbook, intake happens via form or email, and execution starts automatically when a brief is submitted.