cyara

Name: cyara
Author: GoogleCloudPlatform

78stars64forks

How to install cyara?

googlecloudplatform/cxas-scrapi/cyara

$npx -y skills add GoogleCloudPlatform/cxas-scrapi --skill cyara

Installs into the current project.

Summary

Extracts conversational transcripts from Cyara XML test case files.

Files · 1

View on GitHub

SKILL.md

1	# Cyara Ingestor Skill
2
3	Use this skill when you need to extract dialogue turns and conversation flows
4	from Cyara XML test case files.
5
6	## Protocol
7
8	Cyara files are XML documents containing test scenarios for voice or chat
9	agents. They are rich sources for transcripts because they map user utterances
10	to agent states.
11
12	1. Identify Test Cases: Look for elements representing individual test
13	cases using their unique identifiers.
14	2. Extract Utterances: Extract the list of sample user utterances. These
15	are valuable for generating realistic User turns.
16	3. Parse Expected Flow: Locate the `expected_flow` sequence, which
17	describes the chronological steps of the interaction.
18	4. Map Turns:
19	* Iterate through the `expected_flow`.
20	* Look for steps that include `(User: ...)` annotations. This directly
21	maps what the user said at that specific point in the flow.
22	* The step names (e.g., `Greeting_State`, `Ask_Identifier`) indicate the
23	Agent's state or prompt. You must infer natural Agent dialogue based on
24	these state names if literal text is not provided.
25	5. Voice-Realism Enforcement: Ensure the inferred dialogue strictly
26	enforces the main skill's Agent-First, **Voice Realism (No Spoken
27	URLs), and Standardized End Session** (closing with `end_session` tool
28	call) rules.
29	6. Extract Metadata: Look for intent tags to understand the high-level
30	classification.
31
32	## Example
33
34	A summarized Cyara item might look like this: `yaml id: test_case_identifier
35	utterances:
36
37	- I need help with my account expected_flow:
38	- Welcome_Prompt (User: I need help with my account) - Request_Account_ID`
39
40	You should infer a transcript like:
41
42	- User: "I need help with my account."
43	- Agent: [Triggers Welcome Prompt and recognizes intent, proceeding to Request
44	Account ID]

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cyara

78stars64forks

View on GitHub

How to install cyara?

googlecloudplatform/cxas-scrapi/cyara

$npx -y skills add GoogleCloudPlatform/cxas-scrapi --skill cyara

Installs into the current project.

Summary

Extracts conversational transcripts from Cyara XML test case files.

Files · 1

View on GitHub

SKILL.md

1	# Cyara Ingestor Skill
2
3	Use this skill when you need to extract dialogue turns and conversation flows
4	from Cyara XML test case files.
5
6	## Protocol
7
8	Cyara files are XML documents containing test scenarios for voice or chat
9	agents. They are rich sources for transcripts because they map user utterances
10	to agent states.
11
12	1. Identify Test Cases: Look for elements representing individual test
13	cases using their unique identifiers.
14	2. Extract Utterances: Extract the list of sample user utterances. These
15	are valuable for generating realistic User turns.
16	3. Parse Expected Flow: Locate the `expected_flow` sequence, which
17	describes the chronological steps of the interaction.
18	4. Map Turns:
19	* Iterate through the `expected_flow`.
20	* Look for steps that include `(User: ...)` annotations. This directly
21	maps what the user said at that specific point in the flow.
22	* The step names (e.g., `Greeting_State`, `Ask_Identifier`) indicate the
23	Agent's state or prompt. You must infer natural Agent dialogue based on
24	these state names if literal text is not provided.
25	5. Voice-Realism Enforcement: Ensure the inferred dialogue strictly
26	enforces the main skill's Agent-First, **Voice Realism (No Spoken
27	URLs), and Standardized End Session** (closing with `end_session` tool
28	call) rules.
29	6. Extract Metadata: Look for intent tags to understand the high-level
30	classification.
31
32	## Example
33
34	A summarized Cyara item might look like this: `yaml id: test_case_identifier
35	utterances:
36
37	- I need help with my account expected_flow:
38	- Welcome_Prompt (User: I need help with my account) - Request_Account_ID`
39
40	You should infer a transcript like:
41
42	- User: "I need help with my account."
43	- Agent: [Triggers Welcome Prompt and recognizes intent, proceeding to Request
44	Account ID]

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6 picks

Type