@agentled/cli/dist/commands/onboarding.d.ts

CLI for Agentled — manage workflows, apps, and knowledge from the command line. Zero context-window cost for AI agents.

/**
 * `agentled setup` — single canonical entrypoint for new users.
 *
 * Orchestrates the seven-step flow:
 *   1. Version check (warns if outdated)
 *   2. Browser sign-in + workspace selection
 *   3. Workspace folder scaffold (agentled_<slug>/)
 *   4. MCP auto-config (Claude Code, Codex, Cursor, Claude Desktop, Windsurf)
 *   5. Skill install (writes SKILL.md to the client's skill directory)
 *   6. Knowledge probe (company.profile; if missing, prompt + write)
 *   7. Restart prompt (printed at end of setup)
 *
 * Replaces the legacy `agentled setup` (company-profile-only) which required
 * prior auth and only wrote workspace company info. The legacy company-profile
 * prompt logic is preserved as `runOnboarding()` and called from step 6 —
 * but it now writes to `company.profile` (the same key the probe
 * reads), so the prompt does not re-fire on the next run.
 */
import { Command } from 'commander';
/**
 * Interactive prompt to populate the workspace company profile. Called by
 * step 6 of `agentled setup` when the workspace knowledge probe finds no
 * existing `company.profile`, and by `auth login` for new users.
 */
export declare function runOnboarding(mode?: 'new-user' | 'existing-user-missing-profile'): Promise<void>;
export declare function registerOnboardingCommands(program: Command): void;