[side-quest] Extract agentic-workflows skill dispatcher primer into side quest

workshop/09-agentic-editing.md

@@ -32,15 +32,15 @@ Then send:
 /agentic-workflows [your request here]
 ```
 
-The skill recognizes three core task types for day-to-day workflow maintenance:
-
-| Task type | When to use it | Example trigger phrase |
-|-----------|---------------|------------------------|
-| **Edit** | Improve the agent brief or [frontmatter](https://github.github.com/gh-aw/reference/frontmatter/) | "update the workflow to …" |
-| **Debug** | Investigate unexpected output or a failed run | "debug the workflow — it ran but …" |
-| **Optimize** | Reduce token usage or tighten [permissions](https://github.github.com/gh-aw/reference/permissions/) | "optimize the workflow to reduce [AI Credit](https://github.github.com/gh-aw/reference/cost-management/) cost" |
-
-If you are working locally or in a Codespace without a Copilot session, the terminal path in each section below shows the equivalent manual change.
+The skill recognizes three core task types — **Edit**, **Debug**, and **Optimize** — and routes your request to the matching prompt. If you are working locally or in a Codespace without a Copilot session, the terminal path in each section below shows the equivalent manual change.
+
+> [!TIP]
+> <details>
+> <summary><b>Optional Side Quest:</b> Want the full task-type table with example trigger phrases, plus practice scenarios for matching a request to the right task type?</summary>
+>
+> Work through [Side Quest: How the `agentic-workflows` Skill Dispatcher Works](side-quest-10-03-skill-dispatcher.md), then come back here.
+>
+> </details>
 
 ## Start With One Concrete Observation
 

workshop/README.md

@@ -107,6 +107,7 @@ A hands-on workshop that takes you from zero to a fully automated, AI-powered wo
 - [Project Future AI Credit Costs with `gh aw forecast`](side-quest-26-01-forecast-costs.md) — full walkthrough of `gh aw forecast`: reading P10/P50/P90 output, using `--period week` and `--days 7`, forecasting all workflows, and deriving a `max-daily-ai-credits` value from the P90 figure; branches from [Step 26](26-manage-costs-and-budgets.md).
 - [Skill Injection Strategies — Hint, Fusion, and Inline](side-quest-29-01-skill-injection-strategies.md) — decision table, code examples, and a practice exercise for the hint, fusion, and inline strategies for wiring a `SKILL.md` into a workflow prompt; branches from [Step 29](29-skills-and-domain-knowledge.md).
 - [Recognizing Common Agentic Workflow Failure Modes](side-quest-22-01-failure-modes.md) — worked examples of empty data, tool error, timeout, and prompt drift failures with a match-the-fix practice exercise; branches from [Step 22](22-error-handling-and-resilience.md).
+- [How the `agentic-workflows` Skill Dispatcher Works](side-quest-10-03-skill-dispatcher.md) — full task-type table with trigger phrases, plus practice scenarios for matching a request to the Edit, Debug, or Optimize path; branches from [Step 9](09-agentic-editing.md).
 
 ## Getting Started
 

workshop/side-quest-10-03-skill-dispatcher.md

@@ -0,0 +1,88 @@
+<!-- page-journey: all -->
+<!-- page-adventure: side-quest -->
+# Side Quest: How the `agentic-workflows` Skill Dispatcher Works
+
+> _One skill, three jobs — knowing which trigger phrase to use saves you from writing prompts from scratch every time._
+
+## :dart: What You'll Do
+
+Learn how the `agentic-workflows` Copilot skill routes your plain-English request to the right editing, debugging, or optimizing prompt, and practice choosing the right trigger phrase for a given situation.
+
+## :clipboard: Before You Start
+
+- You have `.github/skills/agentic-workflows/` in your practice repository (created during [Step 7](07-your-first-workflow.md)).
+- You can open Copilot CLI with `gh copilot` in your Codespace terminal.
+
+## Steps
+
+### Understand the dispatcher model
+
+The `agentic-workflows` skill acts as a dispatcher: when you describe a workflow task in plain English and mention the skill by name, it routes your request to the right editing, debugging, or optimizing prompt and makes changes directly in your repository.
+
+You invoke it in Copilot CLI in your Codespace terminal:
+
+```bash
+gh copilot
+```
+
+Then send:
+
+```prompt
+/agentic-workflows [your request here]
+```
+
+### Learn the three task types
+
+The skill recognizes three core task types for day-to-day workflow maintenance:
+
+| Task type | When to use it | Example trigger phrase |
+|-----------|---------------|------------------------|
+| **Edit** | Improve the agent brief or [frontmatter](https://github.github.com/gh-aw/reference/frontmatter/) | "update the workflow to …" |
+| **Debug** | Investigate unexpected output or a failed run | "debug the workflow — it ran but …" |
+| **Optimize** | Reduce token usage or tighten [permissions](https://github.github.com/gh-aw/reference/permissions/) | "optimize the workflow to reduce [AI Credit](https://github.github.com/gh-aw/reference/cost-management/) cost" |
+
+If you are working locally or in a Codespace without a Copilot session, you can still make each type of change manually — open the workflow file, make the targeted edit, then run `gh aw compile` before committing.
+
+### Practice matching a request to a task type
+
+For each scenario below, decide which task type (Edit, Debug, or Optimize) fits best before revealing the answer.
+
+**Scenario A:** Your workflow's daily comment is too generic and you want it to explain *why* something matters, not just *what* happened.
+
+<details>
+<summary>Reveal answer</summary>
+
+**Edit.** You're improving the task brief's content, not fixing a failure or reducing cost.
+
+</details>
+
+**Scenario B:** Your last run finished green, but no comment or issue appeared anywhere in the repository.
+
+<details>
+<summary>Reveal answer</summary>
+
+**Debug.** Something went wrong between "the agent decided to write" and "the write actually happened" — that's an investigation, not a content edit.
+
+</details>
+
+**Scenario C:** Your workflow works correctly, but you noticed it consumes more AI Credits than you'd like on a workflow that runs daily.
+
+<details>
+<summary>Reveal answer</summary>
+
+**Optimize.** The behavior is correct; you're tuning for lower token cost.
+
+</details>
+
+### Try writing your own trigger phrase
+
+Pick one real observation about your own workflow (from a recent run) and write a one-sentence trigger phrase using the task-type table above. Send it to the skill in Copilot CLI and review the diff it proposes before accepting.
+
+## :white_check_mark: Checkpoint
+
+- [ ] You can explain what the `agentic-workflows` skill dispatcher does in one sentence
+- [ ] You can name the three task types and one trigger phrase for each
+- [ ] You correctly matched all three practice scenarios to a task type
+- [ ] You sent one real request to the skill and reviewed its proposed diff
+
+**Return to the main adventure:** [Refine, Test, and Improve Your Workflow](09-agentic-editing.md)