A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease.
This repository also configures its own agents. See what cxas-scrapi tells them →
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex needs its repo
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 user mentions GECX, CXAS, CES, SCRAPI, conversational agents…
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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 autolabelrules.yaml configurations, or synchronize rules to GCP projects.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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 synchronize dashboards to GCP projects.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
Extracts conversational transcripts from .drawio XML files.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
Parsing and ingestion directives for the Python-based Agent Development Kit (ADK) conversational agent framework.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
Extracts conversational transcripts from Cyara XML test case files.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
Parsing and Ingestion directives for the Dialogflow CX (DFCX) agent structure.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
A two-phase protocol for extracting structure and generating transcripts from customer artifacts.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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 optimization/consolidation. Four independently runnable scripts: migrate.py (1:1)…
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex
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.
GoogleCloudPlatform/cxas-scrapi
Skill Claude CodeCodex needs its repo
Audits, optimizes, and remediates CXAS agent configurations for Gemini Composite V1 voice naturalness, persona styling, and multi-language coverage directly in local workspaces with cxas-scrapi. Generates prioritized HTML readiness reports (P0/P1/P2) and applies automated fixes.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: