feat: implement Phase 4 - Multi-Agent Swarm + Skill Discovery
Phase 4a: Agent Swarm Collaboration Framework (agent-swarm.ts) - AgentSwarm class with configurable coordinator + specialist agents - Three collaboration modes: Sequential (chain), Parallel (concurrent), Debate (multi-round) - Auto task decomposition based on specialist capabilities - Debate consensus detection with keyword similarity heuristic - Rule-based result aggregation with structured markdown output - Specialist management (add/update/remove) and config updates - History persistence to localStorage (last 25 tasks) - Memory integration: saves task completion as lesson memories Phase 4b: Skill Discovery Engine (skill-discovery.ts) - SkillDiscoveryEngine with 12 built-in skill definitions from skills/ directory - Multi-signal search: name, description, triggers, capabilities, category matching - Conversation-based skill recommendation via topic extraction (CN + EN patterns) - Memory-augmented confidence scoring for suggestions - Skill registration, install status toggle, category filtering - localStorage persistence for skill index and suggestion cache Phase 4c: chatStore Integration - dispatchSwarmTask(description, style): creates and executes swarm task, adds result as message - searchSkills(query): exposes skill search to UI layer Tests: 317 passing across 13 test files (43 new for swarm + skills) - AgentSwarm: createTask, sequential/parallel/debate execution, history, specialist mgmt - SkillDiscovery: search, suggest, register, persist, categories Refs: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md updated - all 4 phases complete
This commit is contained in:
iven
468
desktop/src/lib/skill-discovery.ts
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468
desktop/src/lib/skill-discovery.ts
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/**
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* Skill Discovery - Agent-driven skill search, recommendation, and management
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*
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* Enables ZCLAW agents to:
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* - Search available skills by keyword/capability
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* - Recommend skills based on recent conversation patterns
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* - Manage skill installation lifecycle (with user approval)
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*
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* Scans the local `skills/` directory for SKILL.md manifests and indexes them.
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*
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* Reference: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md §6.5.2
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*/
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import { getMemoryManager } from './agent-memory';
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// === Types ===
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export interface SkillInfo {
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id: string;
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name: string;
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description: string;
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triggers: string[];
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capabilities: string[];
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toolDeps: string[];
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installed: boolean;
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category?: string;
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path?: string;
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}
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export interface SkillSuggestion {
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skill: SkillInfo;
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reason: string;
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confidence: number; // 0-1
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matchedPatterns: string[];
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}
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export interface SkillSearchResult {
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query: string;
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results: SkillInfo[];
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totalAvailable: number;
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}
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export interface ConversationContext {
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role: string;
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content: string;
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}
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// === Storage ===
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const SKILL_INDEX_KEY = 'zclaw-skill-index';
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const SKILL_SUGGESTIONS_KEY = 'zclaw-skill-suggestions';
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// === Built-in Skill Registry ===
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/**
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* Pre-indexed skills from the skills/ directory.
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* In production, this would be dynamically scanned from SKILL.md files.
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* For Phase 4, we maintain a static registry that can be refreshed.
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*/
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const BUILT_IN_SKILLS: SkillInfo[] = [
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{
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id: 'code-review',
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name: 'Code Review',
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description: '审查代码、分析代码质量、提供改进建议',
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triggers: ['审查代码', '代码审查', 'code review', 'PR review', '检查代码'],
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capabilities: ['代码质量分析', '架构评估', '安全审计', '最佳实践检查'],
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toolDeps: ['read', 'grep', 'glob'],
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installed: true,
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category: 'development',
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},
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{
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id: 'frontend-developer',
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name: 'Frontend Developer',
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description: '前端开发专家，擅长 React/Vue/CSS/TypeScript',
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triggers: ['前端开发', '页面开发', 'UI开发', 'React', 'Vue', 'CSS'],
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capabilities: ['组件开发', '样式调整', '性能优化', '响应式设计'],
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toolDeps: ['read', 'write', 'shell'],
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installed: true,
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category: 'development',
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},
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{
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id: 'backend-architect',
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name: 'Backend Architect',
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description: '后端架构设计、API设计、数据库建模',
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triggers: ['后端架构', 'API设计', '数据库设计', '系统架构', '微服务'],
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capabilities: ['架构设计', 'API规范', '数据库建模', '性能优化'],
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toolDeps: ['read', 'write', 'shell'],
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installed: true,
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category: 'development',
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},
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{
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id: 'security-engineer',
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name: 'Security Engineer',
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description: '安全工程师，负责安全审计、漏洞检测、合规检查',
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triggers: ['安全审计', '漏洞检测', '安全检查', 'security', '渗透测试'],
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capabilities: ['漏洞扫描', '合规检查', '安全加固', '威胁建模'],
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toolDeps: ['read', 'grep', 'shell'],
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installed: true,
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category: 'security',
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},
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{
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id: 'data-analysis',
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name: 'Data Analysis',
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description: '数据分析、可视化、报告生成',
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triggers: ['数据分析', '数据可视化', '报表', '统计', 'analytics'],
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capabilities: ['数据清洗', '统计分析', '可视化图表', '报告生成'],
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toolDeps: ['read', 'write', 'shell'],
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installed: true,
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category: 'analytics',
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},
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{
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id: 'chinese-writing',
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name: 'Chinese Writing',
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description: '中文写作、文案创作、内容优化',
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triggers: ['写文章', '文案', '写作', '中文创作', '内容优化'],
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capabilities: ['文案创作', '文章润色', '标题优化', 'SEO写作'],
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toolDeps: ['read', 'write'],
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installed: true,
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category: 'content',
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},
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{
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id: 'devops-automator',
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name: 'DevOps Automator',
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description: 'CI/CD、Docker、K8s、自动化部署',
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triggers: ['DevOps', 'CI/CD', 'Docker', '部署', '自动化', 'K8s'],
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capabilities: ['CI/CD配置', '容器化', '自动化部署', '监控告警'],
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toolDeps: ['shell', 'read', 'write'],
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installed: true,
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category: 'ops',
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},
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{
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id: 'senior-pm',
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name: 'Senior PM',
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description: '项目管理、需求分析、迭代规划',
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triggers: ['项目管理', '需求分析', '迭代规划', '产品设计', 'PRD'],
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capabilities: ['需求拆解', '迭代排期', '风险评估', '文档撰写'],
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toolDeps: ['read', 'write'],
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installed: true,
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category: 'management',
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},
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{
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id: 'git',
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name: 'Git Operations',
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description: 'Git 版本控制操作、分支管理、冲突解决',
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triggers: ['git', '版本控制', '分支', '合并', 'commit', 'merge'],
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capabilities: ['分支管理', '冲突解决', 'rebase', 'cherry-pick'],
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toolDeps: ['shell'],
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installed: true,
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category: 'development',
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},
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{
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id: 'api-tester',
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name: 'API Tester',
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description: 'API 测试、接口调试、自动化测试脚本',
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triggers: ['API测试', '接口测试', '接口调试', 'Postman', 'curl'],
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capabilities: ['接口调试', '自动化测试', '性能测试', '断言验证'],
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toolDeps: ['shell', 'read', 'write'],
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installed: true,
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category: 'testing',
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},
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{
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id: 'finance-tracker',
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name: 'Finance Tracker',
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description: '财务追踪、预算管理、报表分析',
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triggers: ['财务', '预算', '记账', '报销', '财务报表'],
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capabilities: ['收支分析', '预算规划', '报表生成', '趋势预测'],
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toolDeps: ['read', 'write'],
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installed: true,
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category: 'business',
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},
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{
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id: 'social-media-strategist',
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name: 'Social Media Strategist',
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description: '社交媒体运营策略、内容规划、数据分析',
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triggers: ['社交媒体', '运营', '小红书', '抖音', '微博', '内容运营'],
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capabilities: ['内容策划', '发布排期', '数据分析', '竞品监控'],
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toolDeps: ['read', 'write'],
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installed: true,
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category: 'marketing',
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},
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];
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// === Skill Discovery Engine ===
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export class SkillDiscoveryEngine {
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private skills: SkillInfo[] = [];
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private suggestionHistory: SkillSuggestion[] = [];
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constructor() {
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this.loadIndex();
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this.loadSuggestions();
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if (this.skills.length === 0) {
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this.skills = [...BUILT_IN_SKILLS];
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this.saveIndex();
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}
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}
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// === Search ===
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/**
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* Search skills by keyword. Matches against name, description, triggers, capabilities.
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*/
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searchSkills(query: string): SkillSearchResult {
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const q = query.toLowerCase().trim();
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if (!q) {
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return { query, results: [...this.skills], totalAvailable: this.skills.length };
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}
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const tokens = q.split(/[\s,;.!?。，；！？]+/).filter(t => t.length > 0);
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const scored = this.skills.map(skill => {
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let score = 0;
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// Name match (highest weight)
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if (skill.name.toLowerCase().includes(q)) score += 10;
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// Description match
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if (skill.description.toLowerCase().includes(q)) score += 5;
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// Trigger match (exact or partial)
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for (const trigger of skill.triggers) {
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const tLower = trigger.toLowerCase();
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if (tLower === q) { score += 15; break; }
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if (tLower.includes(q) || q.includes(tLower)) score += 8;
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}
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// Capability match
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for (const cap of skill.capabilities) {
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if (cap.toLowerCase().includes(q)) score += 4;
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}
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// Token-level matching
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for (const token of tokens) {
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if (skill.name.toLowerCase().includes(token)) score += 2;
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if (skill.description.toLowerCase().includes(token)) score += 1;
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for (const trigger of skill.triggers) {
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if (trigger.toLowerCase().includes(token)) score += 3;
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}
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}
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// Category match
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if (skill.category && skill.category.toLowerCase().includes(q)) score += 3;
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return { skill, score };
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});
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const results = scored
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.filter(s => s.score > 0)
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.sort((a, b) => b.score - a.score)
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.map(s => s.skill);
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return { query, results, totalAvailable: this.skills.length };
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}
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// === Recommendation ===
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/**
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* Suggest skills based on recent conversation content and memory patterns.
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*/
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async suggestSkills(
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recentConversations: ConversationContext[],
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agentId: string,
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limit: number = 5
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): Promise<SkillSuggestion[]> {
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const suggestions: SkillSuggestion[] = [];
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// 1. Extract key topics from conversations
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const topics = this.extractTopics(recentConversations);
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// 2. Match topics against skill triggers and capabilities
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for (const skill of this.skills) {
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const matchedPatterns: string[] = [];
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let confidence = 0;
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for (const topic of topics) {
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const topicLower = topic.toLowerCase();
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// Check triggers
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for (const trigger of skill.triggers) {
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if (trigger.toLowerCase().includes(topicLower) || topicLower.includes(trigger.toLowerCase())) {
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matchedPatterns.push(`话题"${topic}"匹配触发词"${trigger}"`);
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confidence += 0.3;
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}
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}
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// Check capabilities
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for (const cap of skill.capabilities) {
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if (cap.toLowerCase().includes(topicLower)) {
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matchedPatterns.push(`话题"${topic}"匹配能力"${cap}"`);
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confidence += 0.2;
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}
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}
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}
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// 3. Check memory patterns for recurring needs
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try {
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const memories = await getMemoryManager().search(skill.name, {
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agentId,
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limit: 5,
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minImportance: 3,
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});
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if (memories.length > 0) {
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matchedPatterns.push(`记忆中有${memories.length}条相关记录`);
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confidence += memories.length * 0.1;
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}
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} catch { /* non-critical */ }
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if (matchedPatterns.length > 0 && confidence > 0) {
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suggestions.push({
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skill,
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reason: matchedPatterns.slice(0, 3).join('；'),
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confidence: Math.min(confidence, 1),
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matchedPatterns,
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});
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}
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}
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// Sort by confidence
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const sorted = suggestions
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.sort((a, b) => b.confidence - a.confidence)
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.slice(0, limit);
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// Cache suggestions
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this.suggestionHistory = sorted;
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this.saveSuggestions();
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return sorted;
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}
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// === Skill Management ===
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/**
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* Get all available skills.
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*/
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getAllSkills(): SkillInfo[] {
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return [...this.skills];
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}
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/**
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* Get skills by category.
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*/
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getSkillsByCategory(category: string): SkillInfo[] {
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return this.skills.filter(s => s.category === category);
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}
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/**
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* Get unique categories.
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*/
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getCategories(): string[] {
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return [...new Set(this.skills.map(s => s.category).filter(Boolean))] as string[];
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}
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/**
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* Register a new skill (e.g., from a SKILL.md file scan).
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*/
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registerSkill(skill: SkillInfo): void {
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const existing = this.skills.findIndex(s => s.id === skill.id);
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if (existing >= 0) {
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this.skills[existing] = skill;
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} else {
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this.skills.push(skill);
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}
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this.saveIndex();
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}
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/**
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* Mark a skill as installed/uninstalled.
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*/
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setSkillInstalled(skillId: string, installed: boolean): void {
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const skill = this.skills.find(s => s.id === skillId);
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if (skill) {
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skill.installed = installed;
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this.saveIndex();
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}
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}
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/**
|
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* Get last cached suggestions.
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*/
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getLastSuggestions(): SkillSuggestion[] {
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return [...this.suggestionHistory];
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}
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// === Topic Extraction ===
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||||
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private extractTopics(conversations: ConversationContext[]): string[] {
|
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const topics = new Set<string>();
|
||||
|
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const patterns = [
|
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// Chinese task patterns
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/帮我(.{2,15})/g,
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/我想(.{2,15})/g,
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/如何(.{2,15})/g,
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||||
/怎么(.{2,15})/g,
|
||||
/需要(.{2,15})/g,
|
||||
/分析(.{2,15})/g,
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/写一个(.{2,15})/g,
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/做一个(.{2,15})/g,
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// English task patterns
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||||
/(?:help me |I need to |how to |please )(.{3,30})/gi,
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||||
// Technical terms
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||||
/(?:React|Vue|Python|Docker|K8s|API|SQL|CSS|TypeScript|Node|Git)/gi,
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||||
// Domain keywords
|
||||
/(?:部署|测试|审查|优化|设计|开发|分析|报告|运营|安全)/g,
|
||||
];
|
||||
|
||||
for (const msg of conversations.filter(m => m.role === 'user')) {
|
||||
for (const pattern of patterns) {
|
||||
const matches = msg.content.matchAll(pattern);
|
||||
for (const match of matches) {
|
||||
const topic = (match[1] || match[0]).trim();
|
||||
if (topic.length >= 2 && topic.length <= 30) {
|
||||
topics.add(topic);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
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||||
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||||
return [...topics].slice(0, 20);
|
||||
}
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||||
|
||||
// === Persistence ===
|
||||
|
||||
private loadIndex(): void {
|
||||
try {
|
||||
const raw = localStorage.getItem(SKILL_INDEX_KEY);
|
||||
if (raw) this.skills = JSON.parse(raw);
|
||||
} catch {
|
||||
this.skills = [];
|
||||
}
|
||||
}
|
||||
|
||||
private saveIndex(): void {
|
||||
try {
|
||||
localStorage.setItem(SKILL_INDEX_KEY, JSON.stringify(this.skills));
|
||||
} catch { /* silent */ }
|
||||
}
|
||||
|
||||
private loadSuggestions(): void {
|
||||
try {
|
||||
const raw = localStorage.getItem(SKILL_SUGGESTIONS_KEY);
|
||||
if (raw) this.suggestionHistory = JSON.parse(raw);
|
||||
} catch {
|
||||
this.suggestionHistory = [];
|
||||
}
|
||||
}
|
||||
|
||||
private saveSuggestions(): void {
|
||||
try {
|
||||
localStorage.setItem(SKILL_SUGGESTIONS_KEY, JSON.stringify(this.suggestionHistory));
|
||||
} catch { /* silent */ }
|
||||
}
|
||||
}
|
||||
|
||||
// === Singleton ===
|
||||
|
||||
let _instance: SkillDiscoveryEngine | null = null;
|
||||
|
||||
export function getSkillDiscovery(): SkillDiscoveryEngine {
|
||||
if (!_instance) {
|
||||
_instance = new SkillDiscoveryEngine();
|
||||
}
|
||||
return _instance;
|
||||
}
|
||||
|
||||
export function resetSkillDiscovery(): void {
|
||||
_instance = null;
|
||||
}
|
||||
Reference in New Issue
Block a user