Teleagent-Skills Uses YAML Config and 4-Phase Design to Simplify AI Agent Pipelines

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A developer framework called teleagent-skills proposes a standardized approach to building AI agent pipelines by freezing a four-phase skeleton — Extract, Analyze, Generate, and Archive — into five reusable universal skills. Each phase operates as an independent component that communicates with others strictly through JSON contracts, making individual phases swappable, skippable, or shareable across skills. The key innovation is externalizing business logic, such as scoring rules and thresholds, into YAML configuration files so that rule changes require no code modifications. This addresses a common problem where development teams repeatedly rebuild near-identical pipelines from scratch for different business scenarios like scoring, complaint handling, or data querying. The composable design also supports graceful degradation, allowing any phase to be bypassed when needed without breaking the overall workflow.

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