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Agent Skill · 研究检索

contacts(contacts 搜索)

contacts 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

contacts 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 46,467。

总安装 776周安装 33GitHub Stars 55下载 272核验 2026-05-01

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。
GitHub
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:contacts(contacts 搜索)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/contacts
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill contacts
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/joelhooks/joelclaw --skill contacts

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。

Contacts 管理本地联系人库,以 Markdown 文件存储带 YAML 元数据的个人资料。支持别名、角色、组织、标签等多维度信息组织,便于知识图谱构建。提供索引文件和 wikilink 链接,适合个人知识管理与团队协作场景。操作涉及文件系统读写,需确认目录权限与数据备份机制后再启用。

contacts 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/contacts

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 Codex、Claude、Cursor、Gemini CLI;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

    可以直接复制的命令是 npx skills add https://github.com/joelhooks/joelclaw --skill contacts;命令里的占位符换成自己的路径或密钥再执行。

  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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

contacts 怎么安装?

在终端执行 npx skills add https://github.com/joelhooks/joelclaw --skill contacts。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

contacts 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

contacts 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

contacts 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。

contacts 用的人多吗?

公开数据是累计安装 776 次,近一周安装 33 次,下载 272 次,GitHub 55 星。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。

contacts 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
contacts

contacts 搜索 · 本页

77655需要联网未明确有提醒

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

Contacts

Manage contacts in ~/Vault/Contacts/. Each contact is a markdown file with YAML frontmatter.

Contact File Location

~/Vault/Contacts/<Name>.md

Index file: ~/Vault/Contacts/index.md — wikilink list of all contacts.

Frontmatter Schema

---
name: Full Name
aliases: [nickname, handle]
role: Current Role / Title
organizations: [Org1, Org2]
vip: true  # or false
slack_user_id: U0XXXXXXX
slack_dm_channel: D0XXXXXXX  # null if unknown
website: https://example.com
github: username
twitter: handle
email: user@example.com
tags: [vip, instructor, creator, family, employee]
---

Sections

# Name

## Contact Channels
- Slack, email, social handles, website

## Projects
- Active projects, courses, collaborations

## Key Context
- Relationship notes, working style, history

## Recent Activity
- YYYY-MM-DD | channel | summary

See ~/Vault/Contacts/Matt Pocock.md for a fully enriched example.

Adding a Contact

Option 1: Fire the Enrichment Pipeline (preferred)

Send an Inngest event. The contact-enrich function fans out across 7 sources (Slack, Roam, web/GitHub, Granola, recall memory, Typesense), synthesizes with LLM, and writes the Vault file.

# Via curl (CLI has OTEL import bug under Bun v1.3.9)
curl -s -X POST http://localhost:8288/e/37aa349b89692d657d276a40e0e47a15 \
  -H "Content-Type: application/json" \
  -d '[{
    "name": "contact/enrich.requested",
    "data": {
      "name": "Person Name",
      "depth": "full",
      "hints": {
        "slack_user_id": "U0XXXXXXX",
        "github": "username",
        "twitter": "handle",
        "email": "user@example.com",
        "website": "https://example.com"
      }
    },
    "ts": EPOCH_MS
  }]'

Depth modes:

  • full (~60s, ~$0.05): All 7 sources + LLM synthesis. Use for new contacts or periodic refresh.
  • quick (~10s, ~$0.01): Slack + memory only. Good for real-time VIP detection.

Hints are optional but help: Any known identifiers (Slack ID, GitHub, email, Twitter, website) seed the search and improve results.

Option 2: Quick Manual Create

For simple contacts where enrichment is overkill:

---
name: Person Name
aliases: []
role: Role
organizations: [Org]
vip: false
slack_user_id: null
website: null
github: null
twitter: null
email: null
tags: [tag1]
---

# Person Name

## Contact Channels
- ...

## Key Context
- ...

Write to ~/Vault/Contacts/Person Name.md and add [[Person Name]] to index.md.

Updating Contacts

Re-run enrichment with the existing vault path:

{
  "name": "contact/enrich.requested",
  "data": {
    "name": "Person Name",
    "vault_path": "Contacts/Person Name.md",
    "depth": "full"
  }
}

The synthesizer merges new data with existing content — it won't discard existing facts unless contradicted.

VIP Contacts (ADR-0151)

Mark vip: true in frontmatter. VIPs get deep enrichment + ongoing monitoring.

Deep Enrichment Playbook (one-time)

Every VIP gets the full treatment. This is what we did for Kent C. Dodds (Feb 26, 2026):

StepSourceWhat to Capture
1. Web presenceWeb search {name} + {org}Bio, role, location, personal details
2. Podcast/interviewsWeb search {name} podcast interviewAppearance list, own podcasts, audiences
3. Joel collaborationsTheir website, appearances pagesJoint podcasts, co-organized events, shared projects
4. Career timelineDefuddle 2-3 key interview transcriptsOrigin story, career arc, key decisions, values
5. GitHub profileGitHub API or webRepos, followers, orgs, contribution patterns
6. X/Twitter profileX API v2 (use x-api skill)Bio, followers, recent tweets, engagement
7. Key relationshipsCross-reference transcripts + contactsWho they work with, who they mention, who we know in common
8. Content catalogWebsite crawl (defuddle)Courses, blog posts, open source projects
9. Audience reachPodcast counts, social followersConference circuit, community presence

Index to Typesense after enrichment:

  • Batch-import appearances/content to discoveries collection (NDJSON, action=upsert)
  • Tag all docs with person's name slug (e.g. kent-c-dodds) for filtering
  • Fields: id, title, url, summary, tags[], timestamp
  • Write a Vault/Resources/{name}-media-appearances.md reference doc linking back to contact

Output sections in the vault note:

  • Background & Story (origin, career timeline)
  • Teaching/Work Philosophy (or equivalent for non-educators)
  • Key Relationships (cross-linked [[wikilinks]] to other contacts)
  • Audience & Reach
  • Content/Products
  • Podcast/Collaboration History with Joel
  • Recent Activity (timestamped)

Ongoing Monitoring (Phase 2-4 of ADR-0151)

ChannelToolSignal
Google Alertsjoelclawbot Google accountName mentions in news, blogs, press
X/Twitter listjoelclaw X accountTweets, engagement
GitHub activityGitHub API (polling)New repos, releases
Podcast RSSFeed monitoringNew episodes
Website changesPeriodic defuddle + diffBlog posts, launches, bio changes

High-signal (immediate): course launches, role changes, mentions of Joel/egghead/Skill, fundraising. Low-signal (daily/weekly digest): regular tweets, blog posts, OSS activity.

Current VIPs

  • Get notified to Joel via gateway after enrichment
  • Are refreshed weekly via scheduled cron
  • Have priority in channel intelligence pipeline (ADR-0131, ADR-0132)
  • Get ongoing monitoring when ADR-0151 Phase 2+ is implemented

Roam Research Enrichment

Joel's Roam archive (~/Code/joelhooks/egghead-roam-research/) contains the full egghead-era graph (2019-2024). Many contacts have extensive history there.

Quick Search (Python regex)

cd ~/Code/joelhooks/egghead-roam-research
python3 -c "
import re
with open('egghead-2026-01-19-13-09-38.edn', 'r') as f:
    content = f.read()
pattern = r':block/string\s+\"([^\"]*?)\"'
matches = []
for m in re.findall(pattern, content):
    if '[[SEARCH_TAG]]' in m.lower():
        matches.append(m)
print(f'Found {len(matches)} blocks')
for m in matches[:30]:
    print(f'  - {m[:200]}')
"

People Taxonomy

People are tagged with relationship prefixes in Roam:

  • [[collaborator/Name]] — Strategic partners (Ian Jones, Alex Hillman)
  • [[client/Name]] — egghead instructors (Matt Pocock, Jacob Paris)
  • [[staff/Name]] — egghead team (Will Johnson, Daniel Miller, Maggie Appleton)
  • [[name]] (no prefix) — Informal references (Zac is [[zac]])

Page Title Search

python3 -c "
import re
with open('egghead-2026-01-19-13-09-38.edn', 'r') as f:
    content = f.read()
pattern = r':node/title\s+\"([^\"]*?SEARCH_TERM[^\"]*?)\"'
for m in re.findall(pattern, content):
    print(f'  page: {m}')
"

Adding to Contacts

When extracting person data from Roam, add roam_tag to frontmatter:

roam_tag: "[[collaborator/Ian Jones]]"

This enables future re-queries and cross-referencing.

Datalog Queries (advanced)

The EDN file is Datomic-style. Clojure scripts exist at scripts/ for structured analysis. See the roam-research skill for full Datalog patterns.

Resolving Unknown People

When you encounter a Slack user ID (<@U0XXXXXXX>):

# Lease token and look up profile
SLACK_USER=$(secrets lease slack_user_token --ttl 5m)
curl -s "https://slack.com/api/users.info?user=U0XXXXXXX" \
  -H "Authorization: Bearer $SLACK_USER" | jq '.user.real_name, .user.profile.email'
secrets revoke --all

Then fire enrichment with the resolved name and hints.

Inngest Function

  • Function: contact-enrich (packages/system-bus/src/inngest/functions/contact-enrich.ts)
  • Event: contact/enrich.requested
  • ADR: ~/Vault/docs/decisions/0133-contact-enrichment-pipeline.md
  • Concurrency: 3 max
  • Sources: Slack, Slack Connect, Roam archive, GitHub/web, Granola meetings, recall memory, Typesense

Privacy

  • Contact files are in Vault (private, not in public repos)
  • Slack data stays private — never surface in public content
  • Email/phone are stored for Joel's reference only

平台分布

Codex

33.73%
按下载量换算92

Claude

31.33%
按下载量换算85

Cursor

17.81%
按下载量换算48

Gemini CLI

8.78%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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