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Agent Skill · 研究检索

obsidian-ontology-sync(Obsidian ontology sync 开发)

obsidian-ontology-sync 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

obsidian-ontology-sync 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为只读;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,674 个 Skill 里排第 62,001。

总安装 343周安装 14下载 110核验 2026-05-01
研究检索只读unknown未标认证来源可访问许可证需确认审计未展示Local Agent

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:obsidian-ontology-sync(Obsidian ontology sync 开发)
来源仓库:https://skills.volces.com
仓库路径:obsidian-ontology-sync
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持基于关键词快速获取候选结果。适用于本体同步与知识结构对齐类研究任务。obsidian-ontology-sync 属于研究检索类 Skill,可作为该场景下的辅助能力补充。可辅助构建或维护 Obsidian 中的概念体系与关联关系。安装前需确认是否涉及数据写入或外部 API 调用。

建议在使用前验证其对本地文件系统的访问权限。

来源仓库内路径:obsidian-ontology-sync

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Local Agent;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 obsidian-ontology-sync。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

obsidian-ontology-sync 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 obsidian-ontology-sync。

obsidian-ontology-sync 支持哪些 AI 工具?

公开资料标注支持 Local Agent。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

obsidian-ontology-sync 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

obsidian-ontology-sync 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

obsidian-ontology-sync 用的人多吗?

公开数据是累计安装 343 次,近一周安装 14 次,下载 110 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

obsidian-ontology-sync 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Local Agent,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
obsidian-ontology-sync

Obsidian ontology sync 开发 · 本页

343—只读未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Obsidian-Ontology Sync

Philosophy: Obsidian is PRIMARY (human writes natural notes) → Ontology is DERIVED (machine extracts structure) → Feedback loop improves both

Core Concept

Obsidian Notes (Markdown)
    ↓ Extract (every 3 hours)
Ontology Graph (Structured)
    ↓ Query & Analyze
Insights & Suggestions
    ↓ Feedback
Improved Note Templates

When to Use

SituationAction
After creating/updating contactsRun sync to extract entities
Before business queriesSync then query ontology
Weekly reviewSync + analyze + get suggestions
New project setupExtract entities + suggest structure
Team status trackingSync daily-status → ontology → analytics

What Gets Extracted

From Contact Notes (references/contacts/*.md)

Extracts:

  • Person entity (name, email, phone)
  • works_at → Organization
  • met_at → Event
  • assigned_to → Project (if mentioned)
  • status → (prospect, warm_lead, client, etc.)

Example:

# Alice Johnson

**Email:** alice@company.com
**Company:** Acme Corp
**Met At:** Tech Conference 2026
**Projects:** Project Alpha

## Notes
Great developer, responsive communication.

Becomes:

{
  "entity": {
    "id": "person_alice_johnson",
    "type": "Person",
    "properties": {
      "name": "Alice Johnson",
      "email": "alice@company.com",
      "notes": "Great developer, responsive communication"
    }
  },
  "relations": [
    {"from": "person_alice_johnson", "rel": "works_at", "to": "org_acme"},
    {"from": "person_alice_johnson", "rel": "met_at", "to": "event_tech_conference_2026"},
    {"from": "person_alice_johnson", "rel": "assigned_to", "to": "project_alpha"}
  ]
}

From Client Notes (references/clients/*.md)

Extracts:

  • Organization entity
  • has_contract_value → number
  • projects → Project entities
  • primary_contact → Person

From Team Notes (references/team/*.md)

Extracts:

  • Person entity
  • works_for → Organization
  • assigned_to → Project[]
  • reports_to → Person
  • response_pattern → (proactive, reactive, non-responsive)

From Daily Status (daily-status/YYYY-MM-DD/*.md)

Extracts:

  • response_time property on Person
  • status_update → Event
  • blockers → Issue entities
  • behavioral_pattern tracking

From Project Notes (projects/*.md)

Extracts:

  • Project entity
  • for_client → Organization
  • team → Person[]
  • status, value, deadline

Sync Process

1. Extract Phase (Markdown → Ontology)

# Run extraction
python3 skills/obsidian-ontology-sync/scripts/sync.py extract

# What it does:
# 1. Scan configured Obsidian directories
# 2. Parse markdown frontmatter + content
# 3. Extract entities (Person, Project, Organization, etc.)
# 4. Extract relationships (works_at, assigned_to, etc.)
# 5. Write to ontology using append-only operations

Detection Rules:

# Contact files
if file.startswith("references/contacts/"):
    entity_type = "Person"
    extract_email_from_content()
    extract_company_from_property("Company:")
    extract_projects_from_links([[Project]])

# Client files
if file.startswith("references/clients/"):
    entity_type = "Organization"
    extract_contract_value()
    extract_projects()

# Team files
if file.startswith("references/team/"):
    entity_type = "Person"
    role = "team_member"
    extract_assignments()
    extract_response_patterns()

2. Analysis Phase (Ontology → Insights)

# Run analytics
python3 skills/obsidian-ontology-sync/scripts/sync.py analyze

# Generates insights like:
# - "3 team members have no assigned projects"
# - "Contact 'John Doe' missing email address"
# - "Project 'X' has 5 people but no client linked"
# - "10 contacts from AI Summit not linked to follow-up tasks"

3. Feedback Phase (Insights → Improve PKM)

# Get suggestions
python3 skills/obsidian-ontology-sync/scripts/sync.py feedback

# Creates:
# - Missing property suggestions
# - Broken link reports
# - Relationship suggestions
# - Template improvements

Example Feedback:

# Sync Feedback - 2026-02-27

## Missing Information (10 items)
- [ ] `Alice Johnson` missing phone number
- [ ] `Bob` missing email in team file
- [ ] Project `Project Alpha` missing deadline

## Suggested Links (5 items)
- [ ] Link `Jane Doe` (TechHub) to organization `TechHub`
- [ ] Link `Eve` to project (found in daily-status but not in team file)

## Relationship Insights
- `Project Alpha` team: Alice, Carol, David (extracted from daily-status)
- Suggest updating project file with team assignments

## Template Suggestions
- Add `Projects: [[]]` field to contact template
- Add `Response Pattern:` field to team template

Configuration

config.yaml

# /root/life/pkm/ontology-sync/config.yaml

obsidian:
  vault_path: /root/life/pkm

  # What to sync
  sources:
    contacts:
      path: references/contacts
      entity_type: Person
      extract:
        - email_from_content
        - company_from_property
        - projects_from_links

    clients:
      path: references/clients
      entity_type: Organization
      extract:
        - contract_value
        - projects
        - contacts

    team:
      path: references/team
      entity_type: Person
      role: team_member
      extract:
        - assignments
        - response_patterns
        - reports_to

    daily_status:
      path: daily-status
      extract:
        - response_times
        - behavioral_patterns
        - blockers

ontology:
  storage_path: /root/life/pkm/memory/ontology
  format: jsonl  # or sqlite for scale

  # Entity types to track
  entities:
    - Person
    - Organization
    - Project
    - Event
    - Task

  # Relationships to extract
  relationships:
    - works_at
    - assigned_to
    - met_at
    - for_client
    - reports_to
    - has_task
    - blocks

feedback:
  output_path: /root/life/pkm/ontology-sync/feedback
  generate_reports: true
  suggest_templates: true
  highlight_missing: true

schedule:
  # Run via cron every 3 hours
  sync_interval: "0 */3 * * *"
  analyze_daily: "0 9 * * *"  # 9 AM daily
  feedback_weekly: "0 10 * * MON"  # Monday 10 AM

Scheduled Sync (Cron Integration)

Setup Automatic Sync

# Add to OpenClaw cron
python3 skills/obsidian-ontology-sync/scripts/setup-cron.py

# Or manually via cron tool
cron add \
  --schedule "0 */3 * * *" \
  --task "python3 skills/obsidian-ontology-sync/scripts/sync.py extract" \
  --label "Obsidian → Ontology Sync"

Cron Jobs Created:

  1. Every 3 hours: Extract entities from Obsidian → Update ontology
  2. Daily 9 AM: Run analytics and generate insights
  3. Weekly Monday 10 AM: Generate feedback report + template suggestions

Queries (Using Ontology)

Once synced, you can query:

# All team members on high-value projects
python3 skills/ontology/scripts/ontology.py query \
  --type Person \
  --where '{"role":"team_member"}' \
  --related assigned_to \
  --filter '{"type":"Project","value__gt":400000}'

# Contacts from specific event not yet followed up
python3 skills/ontology/scripts/ontology.py query \
  --type Person \
  --where '{"met_at":"event_tech_conference_2026"}' \
  --missing has_task

# Team response patterns
python3 skills/ontology/scripts/ontology.py query \
  --type Person \
  --where '{"role":"team_member"}' \
  --aggregate response_pattern

# Projects by client
python3 skills/ontology/scripts/ontology.py query \
  --type Project \
  --group-by for_client \
  --count

Feedback Loop Examples

Example 1: Missing Email Detection

Ontology finds: Person entity with no email property

Feedback generated:

## Missing Contact Information

The following team members are missing email addresses:

- [ ] Bob (`references/team/Bob.md`)
- [ ] Lucky (`references/team/Lucky.md`)

**Suggestion:** Add email field to team member template:
\`\`\`markdown
**Email:**
\`\`\`

Example 2: Broken Project Links

Ontology finds: Person assigned_to Project that doesn't exist

Feedback generated:

## Broken Project References

Found references to projects that don't have dedicated files:

- [ ] "Project Epsilon" mentioned in team files but no `projects/Project Epsilon.md`
- [ ] "Project Delta Tata DT" assigned but no project file

**Suggestion:** Create project files with template

Example 3: Relationship Discovery

Ontology finds: Multiple people working at same company

Feedback generated:

## Suggested Company Grouping

Found 3 contacts at "TechHub":
- Jane Doe
- [2 others from daily-status mentions]

**Suggestion:** Create `references/clients/TechHub.md` and link contacts

Integration with Daily Workflow

Morning Routine (9 AM)

# Cron runs analysis
# Generates daily-insights.md with:
- Response rate from yesterday's status requests
- Projects needing attention (blockers mentioned)
- Contacts to follow up (met > 3 days ago, no task)

Weekly Review (Monday 10 AM)

# Cron generates weekly feedback
# Creates suggestions for:
- Missing information to fill in
- Broken links to fix
- New templates to adopt
- Relationship insights

On-Demand Queries

# Before a meeting
"Show me all interactions with Client X"

# Resource planning
"Which team members are on <3 projects?"

# Sales pipeline
"Contacts met at conferences in last 30 days without follow-up"

Benefits

✅ For You

  1. Zero Extra Work: Just keep writing normal Obsidian notes
  2. Automatic Structure: Ontology extracted automatically
  3. Powerful Queries: Find patterns across all your data
  4. Quality Improvement: Feedback loop catches missing info
  5. No Double Entry: Single source of truth (Obsidian)

✅ For Team Management

  • Track who's on which project (auto-extracted)
  • Monitor response patterns (from daily-status)
  • Identify unbalanced workloads
  • Find blockers across projects

✅ For Sales/BD

  • Track contact network (who you met, where, when)
  • Follow-up reminders (contacted >7 days ago)
  • Relationship mapping (who knows who)
  • Pipeline insights (prospects → warm → clients)

✅ For Finance

  • Project valuations (extracted from client notes)
  • Team cost allocation (people → projects → revenue)
  • Revenue forecasting (active projects × value)

File Structure After Sync

/root/life/pkm/
├── references/
│   ├── contacts/          # Source notes (you write these)
│   ├── clients/           # Source notes
│   └── team/              # Source notes
├── daily-status/          # Source notes
├── projects/              # Source notes
│
├── memory/ontology/       # Generated ontology
│   ├── graph.jsonl        # Entity/relation storage
│   └── schema.yaml        # Type definitions
│
└── ontology-sync/         # Sync outputs
    ├── config.yaml        # Your config
    ├── feedback/
    │   ├── daily-insights.md
    │   ├── weekly-feedback.md
    │   └── suggestions.md
    └── logs/
        └── sync-YYYY-MM-DD.log

Advanced: Bidirectional Sync

Future capability:

Update Obsidian notes FROM ontology insights:

# Automatically add missing fields
python3 skills/obsidian-ontology-sync/scripts/sync.py apply-feedback

# What it does:
# - Adds missing email field to contact notes
# - Creates suggested project files
# - Links related entities
# - Updates frontmatter

Safety: Always creates backup before modifying files.

Comparison with Alternatives

ApproachProsCons
Manual ontologyFull controlToo much work, falls behind
Obsidian onlySimpleNo structured queries
Ontology onlyPowerful queriesNot human-friendly
This skillBest of bothInitial setup needed

Getting Started

1. Install Dependencies

# Already have ontology skill installed
clawhub install obsidian  # If not already installed

2. Create Config

python3 skills/obsidian-ontology-sync/scripts/init.py

# Creates:
# - config.yaml with your vault path
# - ontology directory structure
# - cron jobs

3. Run First Sync

# Manual first sync to test
python3 skills/obsidian-ontology-sync/scripts/sync.py extract --dry-run

# See what would be extracted
# Review, then run for real:
python3 skills/obsidian-ontology-sync/scripts/sync.py extract

4. Enable Automatic Sync

python3 skills/obsidian-ontology-sync/scripts/setup-cron.py

# Confirms cron jobs:
# ✓ Sync every 3 hours
# ✓ Daily analysis at 9 AM
# ✓ Weekly feedback Monday 10 AM

5. Query Your Data

# Try some queries
python3 skills/obsidian-ontology-sync/scripts/query.py "team members on high value projects"

Troubleshooting

Extraction Issues

# Dry run to see what would be extracted
python3 skills/obsidian-ontology-sync/scripts/sync.py extract --dry-run --verbose

# Check specific file
python3 skills/obsidian-ontology-sync/scripts/debug.py \
  --file references/contacts/Alice.md

Query Not Finding Data

# Check what's in ontology
python3 skills/ontology/scripts/ontology.py query --type Person

# Verify sync ran
cat /root/life/pkm/ontology-sync/logs/sync-latest.log

Feedback Not Generated

# Manually run analysis
python3 skills/obsidian-ontology-sync/scripts/sync.py analyze
python3 skills/obsidian-ontology-sync/scripts/sync.py feedback

Version History

  • 1.0.0 (2026-02-27) - Initial version with extraction, analysis, feedback loop

Author: Built for team management, contact tracking, and business intelligence at scale License: MIT Tags: obsidian, ontology, knowledge-graph, pkm, automation, sync

平台分布

Local Agent

95.56%
按下载量换算105

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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