root
590d050218
- build_review_bundle.py: 新增 _compute_percentile/_compute_growth, 候选池从固定阈值改为百分位排名 + 增速因子 (v2 policy) - term_cleanup_policy.json: 升级 v2 schema - generate_term_cleanup_suggestions.py: 新增 _prepare_alias_suggestions, 规则层输出 alias (大小写/单复数/分词变体) - generate_term_cleanup_semantic_suggestions.py: 新增 LLM 语义建议脚本 (DeepSeek API, 产出 semantic alias/stopword/promote) - SKILL.md: 更新为 5 Phase 工作流程 - 首轮清洗 apply: interest 54, aliases 17组, stopwords 17个 - docs/design/keyword-cleanup-flow-overview.md: 流程文档 - plans/: 引擎设计方案
82 lines
1.3 KiB
JSON
82 lines
1.3 KiB
JSON
{
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"source_tags": [
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"backend",
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"ai-agent",
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"frontier-tech"
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],
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"interest_topics": [
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"后端工程",
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"系统设计",
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"分布式系统",
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"数据库",
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"缓存",
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"消息队列",
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"性能优化",
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"可观测性",
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"云原生",
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"Kubernetes",
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"AI Agent",
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"LLM",
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"RAG",
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"MCP",
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"工作流自动化",
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"前沿科技"
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],
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"interest_keywords": [
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"Agent",
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"Agent Skills",
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"AgentScope",
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"AI Agent",
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"AI Coding Agent",
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"AliSQL",
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"Anthropic",
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"Claude",
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"Claude Code",
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"CLAUDE.md",
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"Context Engineering",
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"Cursor",
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"DeepSeek",
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"FastAPI",
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"Gin",
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"Go",
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"gRPC",
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"Harness Engineering",
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"Hermes Agent",
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"Java",
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"Kafka",
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"Kubernetes",
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"LLM",
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"MCP",
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"MySQL",
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"MySQL复制延迟",
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"OpenAI",
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"OpenClaw",
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"PostgreSQL",
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"Prompt Engineering",
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"Python",
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"RAG",
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"ReActAgent",
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"Redis",
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"Skill",
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"SKILL.md",
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"Skills",
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"Spring",
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"SubAgent",
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"TypeScript",
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"Vibe Coding",
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"Workflow",
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"上下文压缩",
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"上下文工程",
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"上下文管理",
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"云原生",
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"代码审查",
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"可观测性",
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"向量数据库",
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"多Agent协作",
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"大模型",
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"微服务",
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"渐进式披露",
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"知识库"
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]
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}
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