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making-forms-demo

Interviews the user for critical implementation details needed to generate a Web Form. Manages FORM namespace in `user_prefs.json`. Use when making Web Forms.

Quellinformationen

Repository
GoogleCloudPlatform/devrel-demos
Letzte Quellaktivität
30. Juli 2026 um 13:18
Erkannte Sprache von SKILL.md
Englisch
Sterne
397
Forks
191

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
making-forms-demo
description
Interviews the user for critical implementation details needed to generate a Web Form. Manages FORM namespace in `user_prefs.json`. Use when making Web Forms.
# Making forms Interviews the user for critical implementation details needed to generate a Web Form. ## Workflow Steps 1. **Confirm Intent & Hydrate State:** Check if `user_prefs.json` exists in the workspace root. If present, read the `"FORMS"` object to identify any previously saved preferences. Tell the user that a form has been identified and that a few questions must be answered (or confirmed) before building the form. 2. **Query Validation Type:** Invoke the `ask_question` tool to present the user with an option selection UI. If previously saved values exist in `user_prefs.json`, prefix those option strings with `"(Current Setting) "` and list them first: * **Question:** "How would you like to handle field validation? (select all that apply)" * **Options:** ["Client-side validation", "Server-side validation"] Use the selected value as `FIELD_VALIDATION_TYPE`. 3. **Query Validation Location:** Invoke the `ask_question` tool to present the user with an option selection UI. If a previously saved value exists in `user_prefs.json`, prefix that option string with `"(Current Setting) "` and list it first: * **Question:** "How would you like to handle validation messages?" * **Options:** ["Above the field", "Below the field", "Summary Card", "Tooltip"] Use the selected value as `FIELD_VALIDATION_LOCATION`. 4. **Persist User Preferences:** Write the user's selected form preferences to a `user_prefs.json` file in the workspace root directory using the `write_to_file` tool (or overwrite existing preferences). This guarantees that future agent invocations and subagents are grounded in the user's exact specifications without needing to re-interview them: ```json { "FORMS": { "FIELD_VALIDATION_TYPE": ["<SELECTED_VALUES>"], "FIELD_VALIDATION_LOCATION": "<SELECTED_VALUE>" } } ``` ## Mock Skill Instructions Since this skill is just a mock skill for illustrating how to create interviewer UI within the chat window, don't actually create a form. Instead: 1. Write the selections to `user_prefs.json` in the workspace root. 2. Output the form selections to the user as confirmation using the template below: For each field: **<FIELD_NAME>:** <SELECTED_VALUE>
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