/**
 * v1.3.2 §P1 — `create` assist for agent / goal / schedule.
 *
 * `agent add` / `goal new` and the new `schedules new` produce a deterministic
 * scaffold (frontmatter / yaml / placeholders). This adds an opt-in LLM pass
 * that drafts the *free-text body* from a one-line brief — the agent's process
 * steps, a schedule's prompt, a goal's intent prose — while the structured
 * scaffold stays machine-generated. The skill domain already has this (the
 * messenger author loop in skill-manager.ts); this is the CLI-side, single-shot
 * counterpart for the other three managers.
 *
 * Injectable caller (deterministic in tests, Claude-backed when opted in via
 * `--assist`). The caller only ever produces a *draft*; the command re-validates
 * and falls back to the plain scaffold if the draft is unusable — assist can
 * never produce an invalid asset.
 */
export type AssistKind = "agent" | "goal" | "schedule";
export interface AssistInput {
    kind: AssistKind;
    /** The asset id/name being created. */
    name: string;
    /** The user's one-line intent. */
    brief: string;
}
export interface AssistCaller {
    /** Draft the free-text body for the asset; null to fall back to the scaffold. */
    draft(input: AssistInput): Promise<string | null>;
    call_count?: number;
}
export declare function buildAssistPrompt(input: AssistInput): string;
/** Strip a wrapping ``` code fence if the model added one. */
export declare function stripFences(raw: string): string;
/** Claude-backed caller — constructed only when the user passes --assist. */
export declare function createClaudeAssistCaller(cwd: string, timeoutMs?: number): AssistCaller;