mcp-ai-agent-guidelines
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A comprehensive Model Context Protocol server providing advanced tools, resources, and prompts for implementing AI agent best practices
26 lines • 1.38 kB
TypeScript
import type { Artifact } from "./artifact.types.js";
export type PhaseStatus = "pending" | "in-progress" | "completed" | "blocked" | "skipped";
export type ConstraintType = "functional" | "non-functional" | "technical" | "business" | "compliance" | "architectural";
export type ArtifactType = "adr" | "specification" | "roadmap" | "speckit" | "diagram" | "template" | "validation" | "coverage-report";
export type OutputFormat = "markdown" | "mermaid" | "yaml" | "json" | "typescript" | "javascript";
export type RiskLevel = "low" | "medium" | "high" | "critical";
export type SessionStatus = "initializing" | "active" | "paused" | "completed" | "aborted" | "pivoting";
export type EventType = "phase-start" | "phase-complete" | "confirmation" | "pivot" | "constraint-violation" | "coverage-update" | "artifact-generated" | "methodology-selected" | "methodology-changed";
/**
* Represents a single phase in the design workflow.
* This interface was extracted from session.types.ts to break circular dependency
* between session.types.ts and methodology.types.ts.
*/
export interface DesignPhase {
id: string;
name: string;
description: string;
inputs: string[];
outputs: string[];
criteria: string[];
coverage: number;
status: PhaseStatus;
artifacts: Artifact[];
dependencies: string[];
}
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