Pelago
Official@quitgenius · United Kingdom
Offers specialized infrastructure orchestration and project decomposition capabilities for enterprise-grade cloud development and iterative research convergence.
Agent Skills by Pelago
Showing 5 vetted skills indexed across 1 GitHub repositories.
spec
Create and validate Pangea project specifications with Linear and Sparky integration.
converge
Automate iterative research with parallel agents until findings converge.
beads
Decompose implementation plans into atomic tasks with dependencies and references.
aws-cdk-development
Develop AWS infrastructure with the Cloud Development Kit using TypeScript or Python, including validation scripts for pre-deployment checks.
sparky
Communicate with a persistent Letta AI agent for task delegation and information retrieval.
Frequently Asked Questions About Pelago
FAQPage SchemaWhat specific tasks can be performed using Pelago's infrastructure capabilities?▼
Users can define and validate cloud environments using CDK, decompose project requirements into atomic tasks with explicit dependencies, and execute parallel research cycles to reach consensus on technical specifications.
Which technical personas benefit most from these capabilities?▼
Cloud engineers, infrastructure architects, and technical project leads benefit from these capabilities. The system is designed for teams managing complex AWS deployments and those requiring structured, iterative research processes for large-scale engineering initiatives.
What are the primary prerequisites for implementing these project management and infrastructure skills?▼
Implementation requires familiarity with AWS CDK for infrastructure definitions and integration with the Letta environment for task delegation. Users must also maintain Pangea project specifications to ensure compatibility with the provided validation and decomposition modules.