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person-dossier个人档案

Agent Skill

person-dossier 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。

总安装

661

周安装

27

GitHub Stars

55

下载量

214
CodexClaudeCursorGemini CLI

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:person-dossier(个人档案)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/person-dossier
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill person-dossier
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 person-dossier

简介

person-dossier 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。
  • 它属于研究检索类工具,适用于信息搜集和初步筛选场景。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Person Dossier

Build or refresh a dossier whenever an individual is discussed.

Trigger

Run this workflow when a person is mentioned in:

  • strategy or planning conversations
  • follow-up decisions
  • relationship context questions
  • opportunity/deal/property discussions

Output Path

  • Vault/Resources/<Person Name> - Dossier.md

Required Sections

  1. All Email Threads
  2. Key Topics Discussed
  3. Projects Mentioned
  4. Properties or Deals Referenced
  5. Timeline of Interactions
  6. Current Status of Open Items

Workflow

1. Validate runtime and auth

secrets status
secrets lease front_api_token --ttl 15m

If secrets service is down:

secrets serve &

2. Resolve identifiers

Collect:

  • primary name
  • known email(s)
  • aliases/handles

Use these as query inputs for all sources.

3. Pull Front threads (primary)

joelclaw email inbox -q "<person name>" -n 200
joelclaw email inbox -q "from:<email-or-handle>" -n 200

Read each matching conversation:

joelclaw email read --id <cnv_id>

4. Pull Granola meetings

List meetings in a practical window:

granola meetings --range this_week
granola meetings --range this_month

For each candidate meeting ID:

granola meeting <meeting_id>
granola meeting <meeting_id> --transcript

5. Pull memory context

joelclaw recall "<person name> <company> <project>" --limit 20 --min-score 0.25
joelclaw recall "<person email or alias>" --limit 20

6. Pull event timeline context

joelclaw events --hours 720 --count 200
joelclaw events --prefix meeting --hours 720 --count 200

7. Normalize extracted data

Populate these buckets from evidence:

  • email threads: subject, conversation id, participants, last activity date
  • topics: recurring discussion themes
  • projects: named initiatives
  • properties/deals: assets, opportunities, transactions
  • timeline: dated interaction entries by channel
  • open items: owner, status, due date, next step

8. Create or update dossier markdown

If file does not exist: create from template.

If file exists: update in-place.

Update rules:

  • append new timeline entries without removing older ones
  • dedupe by stable key (channel + source_id + date + summary)
  • merge open item status updates instead of creating duplicates
  • keep Verified and Inferred labels on each material claim
  • refresh Last Updated timestamp

9. Record evidence and confidence

Each section must indicate provenance:

  • Verified from Front thread
  • Verified from Granola meeting
  • Inferred from memory/event context

Never present inferred content as verified.

10. Blocker handling

If blocked:

  1. record exact technical error text
  2. attempt one fallback source (joelclaw events or joelclaw recall)
  3. produce a blocked dossier with explicit gaps
  4. include exact next-run commands

No silent partials.

Dossier Template

# <Person Name> - Dossier

## Identity
- Name: <name>
- Emails: <email1>, <email2>
- Aliases: <alias1>, <alias2>
- Last Updated: YYYY-MM-DD

## 1. All Email Threads with <Person Name>
- Thread: <subject>
  - Conversation ID: <cnv_id>
  - Last activity: YYYY-MM-DD
  - Evidence: Verified from Front thread

## 2. Key Topics Discussed
- <topic> (Verified/Inferred)

## 3. Projects Mentioned
- <project> (Verified/Inferred)

## 4. Properties or Deals Referenced
- <item> (Verified/Inferred)

## 5. Timeline of Interactions
- YYYY-MM-DD | <channel> | <summary> | <source_id>

## 6. Current Status of Open Items
- Item: <description>
  - Owner: system owner | other person | unknown
  - Status: open | blocked | closed
  - Next step: <text>
  - Due: YYYY-MM-DD | unknown
  - Evidence: <source>

## Evidence Index
- Front conversation IDs: <list>
- Granola meeting IDs: <list>
- Memory queries: <list>
- Event windows: <list>

## Blockers
- <none or error text>

Quick Build Command Set

# 1) Front discovery
joelclaw email inbox -q "<person name>" -n 200

# 2) Front thread read
joelclaw email read --id <cnv_id>

# 3) Granola context
granola meetings --range this_month
granola meeting <meeting_id> --transcript

# 4) Memory context
joelclaw recall "<person name>" --limit 20

# 5) Event timeline
joelclaw events --prefix meeting --hours 720 --count 200

Quality Bar

  • No fabricated facts
  • Open items always include owner
  • Timeline uses concrete dates whenever available
  • Verified and inferred content clearly separated

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.71%
按下载量换算79

Claude

27.6%
按下载量换算59

Cursor

21.25%
按下载量换算45

Gemini CLI

9.05%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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