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SkillsMP hat 14 Skills aus GoogleCloudPlatform/cxas-scrapi gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 14 von 14 gesammelten Skills angezeigt.
Author, validate, and manage Contact Center AI (CCAI) Insights Configurable Dashboards. Use when users want to define multi-tab analytics dashboards, configure Vega-Lite charts and SQL queries, maintain declarative dashboards.yaml configurations, or…
Quellsprache: Englisch
Author, validate, and manage Contact Center AI (CCAI) Insights Autolabeling Rules. Use when users want to translate business labeling logic into CEL condition expressions, maintain declarative autolabel_rules.yaml configurations, or synchronize rules to GCP…
Quellsprache: Englisch
End-to-end GECX/CXAS/CES conversational agent lifecycle -- build agents from requirements (PRD-to-agent), create and run evals (goldens, simulations, tool tests, callback tests), debug failures, and iterate to production quality. Use this skill whenever the…
Quellsprache: Englisch
Migrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents. Use this skill when the user mentions DFCX migration, migrating agents, converting DFCX to CXAS, porting agents, agent migration, or post-migration…
Quellsprache: Englisch
Automates the ingestion of customer requirement documents such as diagrams, BRDs, code etc., synthesizes high-fidelity natural transcripts, and compiles them into highly interactive, responsive Critical User Journey (CUJ) reports.
Quellsprache: Englisch
Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism.
Quellsprache: Englisch
Retrieves non-contained CCAI Insights conversations (losses), uses agent intelligence to cluster them into common failure patterns, and generates a markdown report. Use when you need to analyze failure patterns and build targeted regression/evaluation reports.
Quellsprache: Englisch
Converts CXAS golden evaluations to SCRAPI SimulationEvals test cases. Use when generating high-level, goal-oriented test cases from turn-by-turn evaluation JSONs, and when enriching test expectations with inferred tool calls.
Quellsprache: Englisch
Parsing and ingestion directives for the Python-based Agent Development Kit (ADK) conversational agent framework.
Quellsprache: Englisch
Parsing and Ingestion directives for the Dialogflow CX (DFCX) agent structure.
Quellsprache: Englisch
Extracts conversational transcripts from .drawio XML files.
Quellsprache: Englisch
Extracts conversational transcripts from Cyara XML test case files.
Quellsprache: Englisch
A robust methodology for LLM-based requirements gathering and high-fidelity artifact generation. Employs 'Divide, Conquer, and Verify' tactics using specialized subagents, iterative exhaustion loops, and batched execution to ensure zero data loss.
Quellsprache: Englisch
A two-phase protocol for extracting structure and generating transcripts from customer artifacts.
Quellsprache: Englisch