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contactscontacts 搜索

Agent Skill

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。

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776

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

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02

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