Yaala Labs
Official@yaalalabs · Colombo, Sri Lanka
Offers architectural frameworks for building, testing, and deploying modular messaging, tracing, and guardrail-enabled distributed systems.
Agent Skills by Yaala Labs
Showing 13 vetted skills indexed across 1 GitHub repositories.
yaalalabsak-dev-new-messaging-integration
Integrate new messaging platforms into the Agent Kernel framework.
yaalalabsak-dev-new-guardrail-provider
Guide developers through adding guardrail providers to the Agent Kernel framework.
yaalalabsak-dev-architecture
Explain Agent Kernel architecture, core abstractions, and execution flow.
yaalalabsak-dev-testing-conventions
Document pytest patterns, async testing, and mocking for Agent Kernel development.
yaalalabsak-dev-new-framework-integration
Guide developers in adding agent framework adapters to Agent Kernel.
yaalalabsak-dev-new-tracing-provider
Implement BaseTrace interfaces and framework-specific traced runners for Agent Kernel.
yaalalabsak-dev-code-quality
Enforce Python code quality with black, isort, and mypy.
yaalalabsak-cloud-deploy
Automate Agent Kernel project deployment to AWS and Azure with Terraform configurations.
yaalalabsak-test
Set up, write, and run Agent Kernel tests for CLI and API agents.
yaalalabsak-build
Add tools, agents, and handoffs to Agent Kernel projects.
yaalalabsak-init
Scaffold Agent Kernel projects with configuration files and agent definition code.
yaalalabsak-add-capabilities
Add guardrails, tracing, session persistence, MCP/A2A servers, hooks, and multimodal support to Agent Kernel projects.
yaalalabsak-add-integration
Add messaging platform integrations to Agent Kernel projects via configuration files and webhook handlers.
Frequently Asked Questions About Yaala Labs
FAQPage SchemaWhat specific tasks can developers perform using Yaala Labs' framework?▼
Developers can scaffold project structures, implement custom messaging platform integrations, add tracing providers via BaseTrace interfaces, and configure guardrail providers. The framework supports session persistence, multimodal functionality, and the deployment of infrastructure to AWS and Azure environments using standardized configuration files.
Which technical personas benefit most from these capabilities?▼
System architects, backend engineers, and infrastructure developers working on distributed messaging and execution frameworks benefit most. The platform is designed for engineers needing to standardize testing patterns, enforce code quality, and manage complex integrations within modular, extensible project environments.
What are the primary prerequisites for deploying these project configurations?▼
Users require familiarity with Terraform for infrastructure provisioning on AWS or Azure, and proficiency in asynchronous testing patterns. Projects rely on specific configuration files for defining messaging handlers, tracing interfaces, and guardrail logic, necessitating a structured approach to project initialization and dependency management.