Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
中文AI知识管理
中文 AI 增强知识管理。PREFIX 确定性分类 + hash/语义去重 + jieba 自动标签 + LLM 对话知识提取。
skill openclawclawhub Free
中文 AI 增强知识管理。PREFIX 确定性分类 + hash/语义去重 + jieba 自动标签 + LLM 对话知识提取。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, clawhub.json, km.js, lib/classifier.js, lib/classifier.test.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- RomeoSY
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
中文知识管理（zh-knowledge-manager）
将 agent 的日志自动沉淀为结构化知识库。核心流程由确定性脚本驱动（PREFIX 分类 + hash 去重），可选启用 AI 增强（语义去重 + 自动标签 + 对话知识提取）。
触发条件
当以下情况出现时使用本 skill： 用户说"同步日志"、"整理知识"、"知识库"、"km sync" 用户要求从对话中提取知识 用户问知识库的状态或统计 Heartbeat 定时触发（每日一次 sync）
日志格式
写入 memory/YYYY-MM-DD.md 时必须使用以下格式： ### [PREFIX:Name] Title 正文内容（结论、教训、要点，不超过 3 行） #tag1 #tag2 PREFIX 规范： PROJECT — 项目进展 ISSUE — 问题/故障 INFRA — 基础设施变更 CONFIG — 配置调整 RESEARCH — 调研/选型 KB — 知识沉淀（老板口述的业务规则等） BOSS — 老板指令/业务判断（仅 extract 产出使用）
基础命令（离线可用）
# 同步最近 N 天日志到知识库 node {baseDir}/km.js sync --days 7 # 预览不写入 node {baseDir}/km.js sync --days 7 --dry-run # 知识库统计 + 更新索引 node {baseDir}/km.js stats # 清理失效的去重引用 node {baseDir}/km.js cleanup # 初始化配置和 kb/ 目录 node {baseDir}/km.js init
AI 增强命令（需要 API Key）
# 语义去重同步（bge-m3 embedding） node {baseDir}/km.js sync --days 7 --semantic # 自动标签补充（jieba 中文分词） node {baseDir}/km.js sync --days 7 --auto-tag # 全部 AI 增强 node {baseDir}/km.js sync --days 7 --semantic --auto-tag # 从对话 dump 提取知识（LLM） node {baseDir}/km.js extract backups/session-dump.md # 批量提取最近 3 天的 dump node {baseDir}/km.js extract backups/ --days 3 # 导入审核后的草稿 node {baseDir}/km.js import output/kb-draft-0227.md # 知识库摘要（含空白检测） node {baseDir}/km.js digest # 推荐标签 node {baseDir}/km.js suggest-tags "pandas 读取大表时需要 chunksize"
注意事项
extract 的产出放在 output/kb-draft-*.md，必须人工审阅后才能 import --semantic 需要配置 SILICONFLOW_API_KEY 环境变量 --auto-tag 需要安装 @node-rs/jieba（npm install 自动安装） 核心 sync 无需任何 API，完全离线可用 每日 Heartbeat 应运行 node {baseDir}/km.js sync --days 1
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- km.js
- lib/classifier.js
- lib/classifier.test.js
- clawhub.json