知识图谱技能

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

嵌入式知识图谱,持久化存储结构化知识,支持查询、合并、可视化与配置。嵌入式知识图谱,以JSON存储持久化结构化知识,通过CLI脚本查询,生成KGML摘要供会话上下文使用。核心能力包括KGML

一句话选型结论

按资料字段整理

知识图谱技能是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install zcwl/knowledge-graph-skill
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方zcwl仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 enterprise
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791573786
正文体量8.4 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
知识图谱技能当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

8.4 KB
模型实际读到的说明书原文,来自技能仓库

Knowledge Graph Skill

Personal KG stored as JSON, queried via CLI scripts. Produces a compact KGML summary for session context.
Core instructions are in AGENTS.md (auto-injected by install). This file covers setup, advanced usage, and reference only.

First-Time Setup

node scripts/install.mjs [--workspace /path/to/workspace] [--platform openclaw|claude|gemini]

Auto-detects platform and patches the agent instructions file (AGENTS.md, CLAUDE.md, or GEMINI.md) with KG instructions + graph summary. Idempotent.

KGML Format Reference

#KGML v2 | <count>e <count>r | depth:<N> | <date>
[category]
Label(Alias):type — attr1,attr2
  ChildLabel(CA):type — attrs    ← indent = parent>child
%rels
A>verb>B C>verb>D                ← cross-branch relations (aliases)
%vault key1,key2                 ← vault key names (no values)

Advanced Query Commands

Beyond the basics in AGENTS.md (find, traverse, rels):

node scripts/query.mjs children <id>      # Direct children
node scripts/query.mjs type <type>         # All entities of a type
node scripts/query.mjs cat <category>      # All in category
node scripts/query.mjs orphans             # Unlinked entities
node scripts/query.mjs stats               # Graph statistics
node scripts/query.mjs recent [--days 7]   # Created/updated recently
node scripts/query.mjs timeline [--from YYYY-MM-DD] [--to YYYY-MM-DD]
node scripts/query.mjs changed             # Modified after creation
node scripts/query.mjs uncertain           # Confidence < 0.5

Merge

node scripts/merge.mjs --target <id> --source <id> --mode absorb|nest

Vault (secrets)

node scripts/vault.mjs set <key> <value> --note "description"
node scripts/vault.mjs get <key>          # Raw value (for piping)
node scripts/vault.mjs list               # Keys only
node scripts/vault.mjs del <key>

Depth Heuristic — How Many Layers to Extract

Before adding a rich knowledge item (article, paper, report, system description), assess complexity first:

# Score text content and get recommended depth + checklist:
node scripts/depth-check.mjs "paste text or summary here"
echo "article text" | node scripts/depth-check.mjs
node scripts/depth-check.mjs --file /path/to/article.txt
node scripts/depth-check.mjs --json    # machine-readable

# Score interpretation:
# 0-1 → 1 layer (root only)
# 2-3 → 2 layers (root + concepts)
# 4-5 → 3 layers (root → domains → mechanisms)
# 6-7 → 4+ layers (full extraction with orgs/events/policies + cross-relations)

Key rule: Never stop at 2 layers for complex content. If score ≥ 4, extract all named orgs, events, policies, and cross-relations — not just the top-level themes.

Visualization

node scripts/visualize.mjs                # → data/kg-viz.html
node scripts/visualize.mjs --output /tmp/graph.html

ALWAYS use this script. Do NOT write custom HTML. Output is self-contained, offline, no CDN.

Parent edges render as blue dashed arrows (60% opacity). Regular edges are red solid arrows.

Configuration

All settings have sensible defaults. Override only what you need — config stores only your changes.

node scripts/config.mjs                       # list all settings with current values
node scripts/config.mjs get <key>              # get a value (e.g. summary.tokenBudget)
node scripts/config.mjs set <key> <value>      # set a value
node scripts/config.mjs reset <key>            # reset single key to default
node scripts/config.mjs reset --all            # reset everything
node scripts/config.mjs --json                 # full config as JSON

Available Settings

Section Key Default Description
summary tokenBudget 5000 Max tokens for kg-summary.md
maxChildDepth auto Tree depth (null=auto: 3/<100, 2/100-400, 1/>400)
maxAttrLen 40 Max characters for attribute values
maxPerRoot 4 Max relations shown per root subtree
compactThreshold 400 Entity count for compact mode
mediumThreshold 200 Entity count for medium depth
validation minEntities 30 Min entities for extraction PASS
minRelationRatio 0.5 Relations per entity ratio
minDepth 3 Min hierarchy depth for PASS
minEvents 3 Min event nodes for PASS
depthCheck entityCapForEstimate 50 Cap NER count for target estimation
minEntitiesMultiplier 1.0 Named entities → min target multiplier
extraEntities 30 Added to min for max entity range
consolidation autoNest true Auto-nest single-relation orphans
mergeSuggestions true Suggest merges for similar labels
pruneEmptyAttrs true Remove empty/null attrs
levenshteinThreshold 2 Max edit distance for merge suggestions
visualization repulsion 5000 Physics repulsion force
edgeRestLength 160 Default edge rest length
overlapPenalty 3 Overlap repulsion multiplier
simulationSteps 500 Physics simulation iterations
initialSpread 1.5 Initial node spread multiplier
zoomAnimationMs 400 Zoom-to-node animation duration

Config file: data/kg-config.json (per-agent, gitignored).

Cross-Agent Access (read-only)

import { createReader } from &#x27;&lt;path-to-skill&gt;/lib/reader.mjs&#x27;;
const kg = createReader();
kg.search(&quot;query&quot;); kg.traverse(&quot;id&quot;, { depth: 2 }); kg.stats();

Or CLI: node scripts/export.mjs --format json --target /path/to/output.json

Memory Import

node scripts/import-memory.mjs            # dry-run
node scripts/import-memory.mjs --apply    # add with confidence 0.5

Then: node scripts/query.mjs uncertain to review auto-imported entities.

Knowledge Entity Guide

The knowledge type covers both declarative and procedural knowledge. Use attrs and tags to differentiate:

Kind Tags Key attrs Example
Fact/finding #fact, #til source, field, summary "LLMs use ~4 chars per token"
Research/paper #paper, #research source, field, summary, author AI alignment paper findings
Idea #idea summary, status "Build a CLI for KG queries"
How-to/procedure #howto, #procedure steps, context, summary "How to deploy on Pi"
Mental model #mental-model, #framework steps, context, summary "Debug network: ping→DNS→firewall"
Workflow #workflow steps, context, summary "Code review: tests first, then impl"

Attrs for procedural knowledge:
- steps: ordered procedure as string (use → or numbered: &quot;1. Check logs → 2. Reproduce → 3. Fix → 4. Test&quot;)
- context: when/where to apply this knowledge (e.g. &quot;when network is down&quot;, &quot;during code review&quot;)
- summary: short description of what this knowledge is about

Consolidation

Run node scripts/consolidate.mjs weekly or when entity count > 80. Then summarize.mjs.

Security

  • NEVER print vault values in chat or log to memory/ files
  • vault.enc.json and .vault-key must never be in context
  • Other agents: read-only via reader.mjs, NO write access

常见问题

5 问
答案由本站依据条目字段整理
知识图谱技能怎么安装?

在支持 Skills 的客户端里执行:skillhub install zcwl/knowledge-graph-skill。安装方式为未标注。装完刷新技能列表或重开客户端。

知识图谱技能支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

知识图谱技能权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

知识图谱技能收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

知识图谱技能用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。