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as:search keyword</code>',semSearchBullet3:"<strong>Cursor MCP</strong>：search 统合工具（mode 路由 5 种模式）",semSearchBullet4:"<strong>Dashboard</strong>：搜索框支持语义 + 关键词",auditFeatureBullet1:'<strong>文件审查</strong>：<code class="bg-slate-100 px-1 rounded text-xs">// as:audit</code>',auditFeatureBullet2:'<strong>Target 审查</strong>：<code class="bg-slate-100 px-1 rounded text-xs">// as:audit target</code>',auditFeatureBullet3:'<strong>Guard 审查</strong>：MCP <code class="bg-slate-100 px-1 rounded text-xs">guard</code>（code / files 参数）',auditFeatureBullet4:"<strong>Dashboard</strong>：Guard 页面可视化审查",syncBullet1:'<strong>同步</strong>：<code class="bg-slate-100 px-1 rounded text-xs">asd sync</code> .md → DB（增量）',syncBullet2:'<strong>Hash 校验</strong>：<code class="bg-slate-100 px-1 rounded text-xs">_contentHash</code> 检测手动编辑',syncBullet3:"<strong>向量索引</strong>：启动时自动构建语义索引",syncBullet4:'<strong>依赖图</strong>：<code class="bg-slate-100 px-1 rounded text-xs">structure</code>（operation: targets / files）MCP 工具',coreFeaturesDesc:"覆盖知识采集、智能检索、代码合规、任务编排、文档生成、数据同步六大能力",kbBuildDesc:"多通道采集，AI 驱动的知识库全生命周期管理",semSearchDescShort:"4 层管线融合 FieldWeighted + keyword + semantic 三路信号",guardCompliance:"Guard 合规闭环",guardComplianceDesc:"规则审查 → 诊断波浪线 → 灯泡修复，代码合规闭环",featureTaskGraphTitle:"TaskGraph 任务编排",featureTaskGraphDesc:"DAG 任务图 + tokenBudget 感知，结构化管理复杂工程任务",featureTaskGraphBullet1:"<strong>DAG 模型</strong>：decompose / prime / ready / claim / close 等 15 种操作",featureTaskGraphBullet2:"<strong>tokenBudget 感知</strong>：自动裁剪详情级别（CRITICAL &lt; 5K, WARNING &lt; 20K）",featureTaskGraphBullet3:"<strong>MCP + VSCode</strong>：task 工具 + lm.registerTool 原生集成",featureTaskGraphBullet4:"<strong>Prime 预热</strong>：自动注入 Mission Briefing + 关键上下文",wikiDocGen:"Wiki 文档生成",wikiDocGenDesc:"Agent 驱动的项目文档自动生成与维护",wikiDocBullet1:"<strong>wiki(plan)</strong>：扫描项目 → 规划主题 + 数据包",wikiDocBullet2:"<strong>wiki(finalize)</strong>：meta.json 汇总 + 去重 + 文件验证",wikiDocBullet3:"<strong>知识聚合</strong>：基于 Recipe 自动生成开发文档",wikiDocBullet4:"<strong>增量更新</strong>：版本追踪 + 差异合并",syncDescShort:"增量同步、Hash 校验、向量索引、依赖图分析",createDirBullet1:"无选项：打开 Dashboard",createDirBullet2:"<code>-c</code>：从剪贴板静默创建",createDirBullet3:"<code>-f</code>：扫描当前文件",searchDirBullet1:"从知识库检索 Recipe",searchDirBullet2:"选择后插入代码，替换该行",searchDirBullet3:"记录一次人工使用",auditDirBullet1:"无后缀：审查当前文件",auditDirBullet2:"<code>target</code>：审查当前 Target",auditDirBullet3:"<code>project</code>：审查整个项目",includeDirBullet1:"代码中包含此标记",includeDirBullet2:"补全后自动注入 import",skillIntent:"意图路由",skillConcepts:"概念教学",skillCandidates:"候选提交",skillRecipes:"Recipe 检索",skillGuard:"代码合规",skillStructure:"项目结构",skillAnalysis:"深度分析",skillColdstart:"冷启动",skillCreate:"引导创建",skillLifecycle:"生命周期",skillDevdocs:"开发文档",mcpLayerHeader:"层级",mcpToolHeader:"工具",mcpDescHeader:"说明",mcpAgentLayerHeader:"Agent 层（18 个）— 默认对外暴露",mcpAdminLayerHeader:"Admin 层（4 个）— 需设置 ASD_MCP_TIER=admin",mcpHealthDesc:"服务健康检查",mcpCapabilitiesDesc:"服务能力清单（Agent 自发现）",mcpGuardDesc:"code=单文件审查 / files=批量审查",mcpSubmitDesc:"提交候选 / 批量 / 保存文档",mcpEnrichDesc:"AI 润色 / 校验 / 查重",mcpLifecycleDesc:"批量生命周期操作",mcpSearchDesc:"mode 路由 auto / keyword / weighted / semantic / context",mcpKnowledgeDesc:"operation 路由 list / get / insights / confirm_usage",mcpStructureDesc:"operation 路由 targets / files / metadata",mcpGraphDesc:"operation 路由 query / impact / path / stats",mcpCallContextDesc:"调用链上下文：callers / callees / both / impact",mcpSkillDesc:"operation 路由 list / load / create / update / delete / suggest",mcpBootstrapDesc:"无参数，返回 Mission Briefing + 维度任务清单",mcpDimensionCompleteDesc:"维度完成通知 + Checkpoint + Hints 分发",mcpWikiPlanDesc:"文档规划：扫描项目 → 主题 + 数据包",mcpWikiFinalizeDesc:"文档完成：meta.json + 去重 + 文件验证",mcpTaskDesc:"15 种操作：create / ready / claim / close / decompose / prime / stats 等",archBootstrapStep1:"① 项目扫描 → 依赖 / 目录 / 入口分析",archBootstrapStep2:"② AI 批量提取 → Candidate 候选列表",archBootstrapStep3:"③ 审阅 + Promote → Recipe 知识库就绪",archBootstrapNote:"支持 bootstrap → dimension_complete 循环迭代、session 断点续跑",archPipelineL1:"InvertedIndex — 倒排索引快速召回",archPipelineL2:"CoarseRanker — 多维信号粗排",archPipelineL3:"MultiSignalRanker — 多维信号精排",archPipelineL4:"RetrievalFunnel — 漏斗截断 + 上下文装配",archAnalystAgent:"<strong>Analyze 阶段</strong>：分析用户意图 → 检索知识库 → 给出建议 → 信心信号分级",archProducerAgent:"<strong>Produce 阶段</strong>：格式化知识 → 创建候选 → 执行提交 → 结果聚合",archHandoff:"<strong>QualityGate</strong>：PipelineStrategy 三态门控 (pass/retry/degrade)",archMemory:"<strong>轻量记忆</strong>：跨对话偏好/决策/上下文持久化（JSONL，TTL 过期）",archProjectAware:"<strong>项目感知</strong>：自动注入知识库状态（Recipe 分布、候选积压量、Guard 规则数）",archCliDesc:"asd × 18+ 命令",archMcpDesc:"stdio × 16 工具",archHttpDesc:"Express × 18 路由模块",archSkillsDesc:"11 个 Skills",archVscodeDesc:"lm.registerTool × 深度集成",v3ArchDesc:"从冷启动到知识消费，端到端的 AI 工程化架构",archOverviewLabel:"端到端架构流",archOverviewBootstrap:"冷启动",archOverviewKB:"知识库",archOverviewPipeline:"检索管线",archOverviewAgent:"Agent 引擎",archOverviewTask:"TaskGraph",archOverviewOutput:"多通道交付",archOverviewSecurity:"Guard + Gateway（知识驱动验证 + 权限审计）",archOverviewIDE:"IDE 集成（MCP + Skills + Extension 三通道）",ideIntegrationLabel:"IDE 集成",ideIntegrationDesc:"6 种 IDE + 飞书，MCP/Extension/Directives 三通道接入",ideIntegrationBullet1:"MCP Server：16 工具 + Skills 自动发现 + Tier 可见性",ideIntegrationBullet2:"VSCode Extension：11 模块（Guard + CodeLens + #asd Agent + Decision）",ideIntegrationBullet3:'一键 <code class="bg-slate-100 px-1 rounded text-xs">asd setup</code> 生成 Cursor / VS Code / Claude Code 模板',securityLabel:"安全与权限",securityDesc:"Gateway 4 步管线 + 宪法治理 + 3 角色 RBAC",securityBullet1:"Gateway 四步：validate → guard → route → audit，写操作唯一入口",securityBullet2:"3 级信任：外部 Agent 受限 → 内置 Agent 只读+提交 → 开发者全权限",securityBullet3:"SafetyPolicy：命令沙箱 + 文件写入保护 + 全链路审计",constitutionSecurity:"Constitution / Gateway 安全模型",constitutionSecurityDesc:"三重安全保障：权限校验 + 宪法规则 + 审计追踪",archConstitutionBullet1:"<strong>Gateway 权限</strong>：MCP 写操作经 Gateway 层统一拦截",archConstitutionBullet2:"<strong>Constitution 宪法</strong>：YAML 定义的行为准则，约束 AI 操作边界",archConstitutionBullet3:"<strong>审计日志</strong>：全链路操作可追溯，异常自动报警",archConstitutionBullet4:"<strong>Tier 隔离</strong>：Agent / Admin 分层，敏感操作需提升权限",archTaskGraphTitle:"TaskGraph 任务体系",archTaskGraphDesc:"DAG 有向无环图驱动的结构化任务管理：",archTaskGraphBullet1:"<strong>Task DAG</strong>：依赖关系建模 → 拓扑排序 → 并行调度",archTaskGraphBullet2:"<strong>状态机</strong>：pending → ready → claimed → done，自动流转",archTaskGraphBullet3:"<strong>tokenBudget</strong>：剩余 token 感知，智能裁剪任务详情",archTaskGraphBullet4:"<strong>Session 持久化</strong>：断点续跑 + 进度可视化",agentArchTitle:"Agent 架构",agentArchDesc:"统一运行时 + 正交组合配置，驱动所有 AI 能力",agentArchPresetTitle:"4 种 Preset 模式",agentArchPresetDesc:"同一个 AgentRuntime，不同的配置组合：",agentArchPresetChat:"<strong>chat</strong>：对话问答（8 轮 / 120s）— Dashboard 和飞书日常对话",agentArchPresetInsight:"<strong>insight</strong>：深度洞察（24 轮 / 600s）— 冷启动多维度分析 + 知识提取",agentArchPresetLark:"<strong>lark</strong>：飞书对话（12 轮 / 180s）— 飞书渠道知识管理",agentArchPresetRemoteExec:"<strong>remote-exec</strong>：远程执行（6 轮 / 60s）— 终端命令沙箱",agentArchStrategyTitle:"4 种执行策略",agentArchStrategyDesc:"参考 Anthropic Agents 设计模式：",agentArchStrategySingle:"<strong>Single</strong>：单次 ReAct 循环 — 对话、飞书、远程执行",agentArchStrategyPipeline:"<strong>Pipeline</strong>：顺序多阶段 + 质量门控（通过/重试/降级三态）— 扫描分析",agentArchStrategyFanOut:"<strong>FanOut</strong>：并发子任务 + 分层限流 — 冷启动多维度并行",agentArchStrategyAdaptive:"<strong>Adaptive</strong>：运行时自动选择策略 — 动态调度",agentArchCapTitle:"5 种能力集",agentArchCapDesc:"每种能力贡献提示词 + 工具白名单 + 钩子：",agentArchCapConversation:"<strong>Conversation</strong>（9 工具）：多轮对话 · 知识检索 · 记忆 · SOUL.md 人格",agentArchCapCodeAnalysis:"<strong>CodeAnalysis</strong>（15 工具）：AST 分析 · 类继承 · 调用图 · 代码搜索",agentArchCapKnowledgeProd:"<strong>KnowledgeProduction</strong>（3 工具）：带验证的知识提交",agentArchCapScanProd:"<strong>ScanProduction</strong>（2 工具）：扫描管线内存收集",agentArchCapSystem:"<strong>SystemInteraction</strong>（8 工具）：安全命令 · 文件写入 · 环境探测",agentArchMemoryTitle:"三层记忆体系",agentArchMemoryDesc:"参考 CoALA / MemGPT 设计，Budget-Aware 注入（12.5% 上下文窗口）：",agentArchMemoryWorking:"<strong>工作记忆</strong>（ActiveContext）：Scratchpad + 观察日志 + 计划追踪",agentArchMemorySession:"<strong>会话记忆</strong>（SessionStore）：跨维度报告 + 只读缓存（LRU + TTL）",agentArchMemoryPersistent:"<strong>持久记忆</strong>（PersistentMemory）：三维评分 × 记忆合并（SQLite）",agentArchContextTitle:"上下文管理",agentArchContextDesc:"保障长对话不溢出，模型感知 Token 预算：",agentArchContextWindow:"<strong>ContextWindow</strong>：三级压缩 — L1 截断旧工具结果 → L2 摘要历史 → L3 仅保留提示词",agentArchContextTracker:"<strong>ExplorationTracker</strong>：阶段状态机 + 信号检测 + Nudge 引导 + 优雅退出",agentArchToolsTitle:"工具体系",agentArchToolsDesc:"58 个内部工具 + 22 个 MCP 工具，写操作经 Gateway 审计：",agentArchToolsInternal:"<strong>内部工具</strong>（58 个）：10 类 — 项目访问 · 查询 · AST · 组合 · Guard · 知识图谱 · 生命周期 · 基础设施 · 系统 · 扫描",agentArchToolsMcp:"<strong>MCP 工具</strong>（22 个）：18 Agent 层 + 4 Admin 层，stdio 传输",agentArchRouterTitle:"意图路由",agentArchRouterDesc:"AgentRouter 5 级优先级：手动指定 → 渠道检测 → 关键词正则 → LLM 分类 → 默认 chat",cliSetupDesc:"初始化项目",cliStatusDesc:"环境自检",cliUiDesc:"启动 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当前描述: {description}

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## 使用场景

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tools",archHttpDesc:"Express × 18 route modules",archSkillsDesc:"11 Skills",archVscodeDesc:"lm.registerTool × deep integration",v3ArchDesc:"End-to-end AI engineering architecture from cold start to knowledge consumption",archOverviewLabel:"End-to-End Architecture Flow",archOverviewBootstrap:"Cold Start",archOverviewKB:"Knowledge Base",archOverviewPipeline:"Retrieval Pipeline",archOverviewAgent:"Agent Engine",archOverviewTask:"TaskGraph",archOverviewOutput:"Multi-Channel Delivery",archOverviewSecurity:"Guard + Gateway (Knowledge-Driven Validation + Access Audit)",archOverviewIDE:"IDE Integration (MCP + Skills + Extension Triple-Channel)",ideIntegrationLabel:"IDE Integration",ideIntegrationDesc:"6 IDEs + Lark, MCP/Extension/Directives triple-channel access",ideIntegrationBullet1:"MCP Server: 16 tools + Skills auto-discovery + Tier visibility",ideIntegrationBullet2:"VSCode Extension: 11 modules (Guard + CodeLens + #asd Agent + Decision)",ideIntegrationBullet3:'One-click <code class="bg-slate-100 px-1 rounded text-xs">asd setup</code> generates Cursor / VS Code / Claude Code templates',securityLabel:"Security & Permissions",securityDesc:"Gateway 4-step pipeline + Constitution governance + 3-role RBAC",securityBullet1:"Gateway 4-step: validate → guard → route → audit, single write entry",securityBullet2:"3-tier trust: external Agent (restricted) → built-in Agent (read+submit) → developer (full)",securityBullet3:"SafetyPolicy: command sandbox + file write protection + full audit trail",constitutionSecurity:"Constitution / Gateway Security",constitutionSecurityDesc:"Triple security: permission check + constitution rules + audit trail",archConstitutionBullet1:"<strong>Gateway Permission</strong>: MCP write ops intercepted by Gateway layer",archConstitutionBullet2:"<strong>Constitution</strong>: YAML-defined behavioral rules constraining AI operation boundaries",archConstitutionBullet3:"<strong>Audit Log</strong>: Full-chain operation traceability, auto-alert on 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Current summary: {description}

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## Use Cases

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X.post("/modules/bootstrap",{},{signal:t,timeout:3e5})).data?.data||{};return{report:a.report||{},targets:a.targets||[],filesByTarget:a.filesByTarget||{},dependencyGraph:a.dependencyGraph||null,languageStats:a.languageStats||{},primaryLanguage:a.primaryLanguage||"",guardSummary:a.guardSummary||null,guardViolationFiles:a.guardViolationFiles||[],bootstrapCandidates:a.bootstrapCandidates||{created:0,failed:0},bootstrapSession:a.bootstrapSession||null,asyncFill:a.asyncFill||!1,message:a.message||""}},async getBootstrapStatus(){return(await X.get("/modules/bootstrap/status")).data?.data||{status:"idle"}},async cancelBootstrap(t){return(await X.post("/modules/bootstrap/cancel",{reason:t})).data||{success:!0}},async rescan(t,s){const a=await X.post("/modules/rescan",t||{},{signal:s,timeout:3e5}),r=a.data?.data||{};return{rescan:r.rescan||{},relevanceAudit:r.relevanceAudit||{},gapAnalysis:r.gapAnalysis||{},bootstrapSession:r.bootstrapSession||null,asyncFill:r.asyncFill||!1,status:r.status||"complete",message:a.data?.message||""}},async getDepGraph(t){return(await X.get(`/modules/dep-graph?level=${t}`)).data?.data||{}},async getProjectInfo(){try{return(await X.get("/modules/project-info")).data?.data||{}}catch{return{primaryLanguage:"unknown",discoverers:[],hasSpm:!1}}},async refreshProject(){try{await X.post("/modules/update-map")}catch{await X.post("/commands/spm-map")}},async extractFromPath(t){const a=(await X.post("/extract/path",{relativePath:t})).data?.data||{};return{result:a.result||[],isMarked:a.isMarked||!1}},async extractFromText(t,s){const r=(await X.post("/extract/text",{text:t,...s?{relativePath:s}:{}})).data?.data||{};return Array.isArray(r.result)&&r.result.length>0?r.result[0]:r},async saveRecipe(t,s){const a=Ql(s),r=a.title||t.replace(/\.md$/,""),o={trigger:a.trigger,headers:a.headers,difficulty:a.difficulty,authority:a.authority,version:a.version},l={pattern:a.codePattern||"",rationale:a.rationaleText||"",steps:a.bestPracticesText?[a.bestPracticesText]:[],codeChanges:[],verification:null,markdown:a.usageGuide||""},i={};if(a.standardsText){const d=a.standardsText.split(`
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refinePreview(t,s){return(await X.post("/candidates/refine-preview",{candidateId:t,userPrompt:s},{timeout:12e4})).data?.data||{}},async refineApply(t,s,a){return(await X.post("/candidates/refine-apply",{candidateId:t,userPrompt:s,preview:a},{timeout:12e4})).data?.data||{}},async getKnowledgeGraph(t=500){return(await X.get(`/search/graph/all?limit=${t}`)).data?.data||{edges:[],nodeLabels:{},nodeTypes:{},nodeCategories:{}}},async getGraphStats(){return(await X.get("/search/graph/stats")).data?.data||{totalEdges:0,byRelation:{},nodeTypes:[]}},async discoverRelations(t=20){const s=await X.post("/recipes/discover-relations",{batchSize:t});if(!s.data?.success)throw new Error(s.data?.error?.message||"启动失败");return s.data?.data||{status:"unknown"}},async getDiscoverRelationsStatus(){return(await X.get("/recipes/discover-relations/status")).data?.data||{status:"idle"}},async deleteAllCandidatesInTarget(t){const a=(await X.get(`/knowledge?category=${encodeURIComponent(t)}&limit=1000`)).data?.data?.data||[];let r=0;for(const o of a)try{await X.delete(`/knowledge/${o.id}`),r++}catch{}return{deleted:r}},async promoteToCandidate(t,s){const a=Zl(t,s,"review-promote");return{ok:!0,candidateId:(await X.post("/knowledge",a)).data?.data?.id||""}},async getAiProviders(){return(await X.get("/ai/providers")).data?.data||[]},async setAiConfig(t,s){return(await X.post("/ai/config",{provider:t,model:s})).data?.data||{provider:t,model:s}},async cleanupMockData(){return(await X.post("/ai/mock/cleanup")).data?.data||{deleted:0}},async chat(t,s,a){const o=(await X.post("/ai/chat",{prompt:t,history:s},{signal:a})).data?.data||{};return{text:o.reply||o.text||"",hasContext:o.hasContext}},async chatStream(t,s,a,r,o){const l=await fetch("/api/v1/ai/chat/stream",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({prompt:t,history:s,...o?{lang:o}:{}}),signal:r});if(!l.ok)throw new Error(`Chat start 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error")))}catch{}},x.onerror=()=>{u(),h||(h=!0,d(new Error("Refine EventSource connection lost")))}})},async summarizeCode(t,s){const a=await X.post("/ai/summarize",{code:t,language:s});return a.data?.data||a.data||{}},async translate(t,s){const a=await X.post("/ai/translate",{summary:t,usageGuide:s}),r=a.data?.data||{summaryEn:"",usageGuideEn:""};return a.data?.warning&&(r.warning=a.data.warning),r},async search(t,s={}){const{mode:a="auto",type:r,limit:o=20,signal:l,context:i}=s,p=u=>{if(!u)return{};if(typeof u=="object")return u;try{return JSON.parse(String(u))}catch{return{markdown:String(u)}}};if(i){const m=(await X.post("/search/context-aware",{keyword:t,limit:o,language:i.language,sessionHistory:i.sessionHistory||[]},{signal:l}).catch(()=>({data:{data:{}}}))).data?.data||{},c=(m.results||[]).map(j=>{const S=p(j.content);return{title:(j.name||"").replace(/\.md$/,""),content:S,score:j.similarity||0,qualityScore:j.qualityScore||0,usageCount:j.usageCount||0,authorityScore:j.authority||0,matchType:j.matchType}});return{items:c,total:m.total||c.length,mode:"weighted",ranked:!0}}const d=new URLSearchParams({q:t,mode:a,limit:String(o)});r&&d.set("type",r);const x=(await X.get(`/search?${d}`,{signal:l})).data?.data||{},h=(x.items||[]).map(u=>({...u,content:p(u.content)}));return{items:h,total:x.totalResults||x.total||h.length,mode:x.mode,ranked:x.ranked}},async getGuardRules(){const s=(await X.get("/rules?limit=100")).data?.data||{},a=s.data||s.items||[],r={};for(const o of a)r[o.id]=o;return{rules:r,projectLanguages:s.projectLanguages||[]}},async getGuardViolations(){const s=(await X.get("/violations")).data?.data||{};return{runs:s.data||s.items||[]}},async clearViolations(){await X.post("/violations/clear",{all:!0})},async saveGuardRule(t){return(await X.post("/rules",t)).data?.data||{}},async insertAtSearchMark(t){return{success:!1}},async listSkills(){return(await X.get("/skills")).data?.data||{skills:[],total:0}},async loadSkill(t,s){const a=s?`?section=${encodeURIComponent(s)}`:"";return(await X.get(`/skills/${encodeURIComponent(t)}${a}`)).data?.data||{}},async createSkill(t){return(await X.post("/skills",t)).data?.data||{}},async updateSkill(t,s){return(await X.put(`/skills/${encodeURIComponent(t)}`,s)).data?.data||{}},async deleteSkill(t){return(await X.delete(`/skills/${encodeURIComponent(t)}`)).data?.data||{}},async suggestSkills(){return(await X.get("/skills/suggest")).data?.data||{suggestions:[],analysisContext:{}}},async getSignalStatus(){return(await X.get("/skills/signal-status")).data?.data||{running:!1,mode:"off",snapshot:null}},async aiGenerateSkill(t){return(await X.post("/ai/chat",{prompt:`你是一个 AutoSnippet Skill 文档生成助手。用户会描述他们想创建的 Skill，你需要生成完整的 SKILL.md 内容。

Skill 文档格式要求：
1. 开头用 Markdown 标题说明 Skill 的目的
2. 包含清晰的使用场景说明
3. 列出具体的操作步骤和指南
4. 如有必要，包含代码示例
5. 使用中文撰写

请严格按以下格式输出（不要用代码块包裹 JSON）：

第一行：一个 JSON 对象，包含 name（kebab-case，3-64 字符）和 description（一句话中文描述）
第二行：空行
第三行起：Skill 文档正文内容（Markdown 格式，不含 frontmatter）

示例输出：
{"name": "swiftui-animation-guide", "description": "SwiftUI 动画最佳实践指南"}

# SwiftUI 动画最佳实践

## 使用场景
...

用户需求：${t}`,history:[]})).data?.data||{reply:""}},async getLlmEnvConfig(){return(await X.get("/ai/env-config")).data?.data||{vars:{},hasEnvFile:!1,llmReady:!1}},async getTokenUsage7Days(){return(await X.get("/ai/token-usage")).data?.data||{daily:[],bySource:[],summary:{input_tokens:0,output_tokens:0,total_tokens:0,call_count:0,avg_per_call:0}}},async saveLlmEnvConfig(t){return(await X.post("/ai/env-config",t)).data?.data||{vars:{},hasEnvFile:!1,llmReady:!1}},async knowledgeList(t={}){const s=new URLSearchParams;t.page&&s.set("page",String(t.page)),t.limit&&s.set("limit",String(t.limit)),t.lifecycle&&s.set("lifecycle",t.lifecycle),t.kind&&s.set("kind",t.kind),t.category&&s.set("category",t.category),t.language&&s.set("language",t.language),t.keyword&&s.set("keyword",t.keyword),t.tag&&s.set("tag",t.tag),t.source&&s.set("source",t.source);const a=s.toString();return(await X.get(`/knowledge${a?`?${a}`:""}`)).data?.data||{data:[],pagination:{page:1,pageSize:20,total:0}}},async knowledgeStats(){return(await X.get("/knowledge/stats")).data?.data||{total:0,pending:0,active:0,deprecated:0,rules:0,patterns:0,facts:0}},async knowledgeGet(t){return(await X.get(`/knowledge/${t}`)).data?.data},async knowledgeCreate(t){return(await X.post("/knowledge",t)).data?.data},async knowledgeUpdate(t,s){return(await X.patch(`/knowledge/${t}`,s)).data?.data},async knowledgeDelete(t){await X.delete(`/knowledge/${t}`)},async knowledgeLifecycle(t,s,a){return(await X.patch(`/knowledge/${t}/${s}`,a?{reason:a}:{})).data?.data},async knowledgeBatchPublish(t){return(await X.post("/knowledge/batch-publish",{ids:t})).data?.data||{published:[],failed:[],successCount:0,failureCount:0}},async knowledgeBatchDelete(t){return(await X.post("/knowledge/batch-delete",{ids:t})).data?.data||{deletedCount:0,failureCount:0,failed:[]}},async knowledgeBatchDeprecate(t,s){return(await 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