/**
 * RulesGenerator — .mdc 文件生成器
 *
 * 生成 Cursor Rules 格式的 .mdc 文件到 .cursor/rules/ 目录：
 *   - Channel A: autosnippet-project-rules.mdc (alwaysApply: true)
 *   - Channel B: autosnippet-patterns-{topic}.mdc (alwaysApply: false)
 */
export declare class RulesGenerator {
    projectName: string;
    projectRoot: string;
    rulesDir: string;
    /**
     * @param projectRoot 用户项目根目录
     * @param projectName 项目名称（用于 description/标题）
     */
    constructor(projectRoot: string, projectName?: string);
    /**
     * Channel A — 写入 Always-On Rules 文件
     *
     * @param ruleLines 一行式规则列表 (来自 KnowledgeCompressor.compressToRuleLine)
     * @returns }
     */
    writeAlwaysOnRules(ruleLines: string[]): {
        filePath: string;
        tokensUsed: number;
        rulesCount: number;
    };
    /**
     * Channel B — 写入 Smart Rules 文件（按主题）
     *
     * @param topic 主题名 (networking, ui, data, architecture, conventions, general)
     * @param compressedContent 格式化后的 When/Do/Don't Markdown 内容
     * @param description Agent 关联性判断用 description
     * @returns }
     */
    writeSmartRules(topic: string, compressedContent: string, description: string): {
        filePath: string;
        tokensUsed: number;
    };
    /**
     * 清理旧的动态生成文件
     * 保留静态模板文件（autosnippet-conventions.mdc, autosnippet-skills.mdc）
     */
    cleanDynamicFiles(): void;
    _renderChannelA(ruleLines: string[]): string;
    _renderChannelB(topic: string, body: string, description: string): string;
    /**
     * Baseline Rules — 零知识库时写入基础引导文件
     * 告知 Agent 可用的 MCP 工具和推荐工作流
     */
    writeBaselineRules(): {
        filePath: string;
        tokensUsed: number;
        rulesCount: number;
    };
    _renderBaseline(): string;
    _ensureDir(): void;
}
export default RulesGenerator;