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connections-optimizer

根据当前工作和兴趣审视X与LinkedIn上的人际联系,按理由排序列出移除、保留和新增候选,并为X私信、LinkedIn或Apple Mail起草符合本人语气的联络文案。

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Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.

集成工具LinkedIn
AI 评分90分/ 100查看安装方法

适用场景

  • 查看X取消关注候选
  • 重新审视LinkedIn人脉
  • 寻找符合当前兴趣的关注对象
  • 起草与熟人重新联系的消息

中文介绍

功能

connections-optimizer根据当前工作和兴趣整理X与LinkedIn上的人际联系。结合活跃度、相互联系、互动记录及与优先事项的契合程度,对移除、保留和新增候选进行排序并说明理由。也会寻找可通过共同熟人等已有联系接触的人选,为X DM、LinkedIn和Apple Mail起草符合本人语气的消息。

适用场景

适合关注对象过多、难以跟进信息,或工作方向变化后希望结识新领域人士时使用。可指定需要保留的人,选择整理力度,并考虑联系已疏远的熟人。

使用示例

  • “根据我目前的工作审视X关注列表,列出应保留的人和取消关注候选。”
  • “推荐新的LinkedIn联系人,并起草给熟人的联络消息。”

注意事项

变更前须检查候选列表和草稿,不自动发送私信、邀请或邮件。解除LinkedIn现有联系人关系时优先人工审核。研究推荐使用x-api等工具,无法使用API时改用浏览器操作。起草前使用brand-voice;邮件草稿通过Apple Mail桌面操作创建。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

客观评估

AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。

指令清晰度能否看出何时使用、做什么
A良好明确说明评估X和LinkedIn上的移除、新增候选,以及起草联络消息的用途。
步骤具体性步骤、输入输出和示例是否具体
A良好提供八步流程和报告格式,涵盖优先事项、候选评分、语气准备及审核资料输出。
安全性发送数据、删除文件、执行命令等是否有说明
A良好明确要求变更前审核候选和草稿,并禁止自动发送私信、邀请或邮件。
安装难易度所需工具和 API 密钥是否少且有说明
B部分不足列出x-api、brand-voice、浏览器控制和Apple Mail自动化,但未提供配置步骤。

总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

包含的文件(1)

  • SKILL.md5.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Connections Optimizer

Reorganize the user's network instead of treating outbound as a one-way prospecting list.

This skill handles:

  • X following cleanup and expansion
  • LinkedIn follow and connection analysis
  • review-first prune queues
  • add and follow recommendations
  • warm-path identification
  • Apple Mail, X DM, and LinkedIn draft generation in the user's real voice

When to Activate

  • the user wants to prune their X following
  • the user wants to rebalance who they follow or stay connected to
  • the user says "clean up my network", "who should I unfollow", "who should I follow", "who should I reconnect with"
  • outreach quality depends on network structure, not just cold list generation

Required Inputs

Collect or infer:

  • current priorities and active work
  • target roles, industries, geos, or ecosystems
  • platform selection: X, LinkedIn, or both
  • do-not-touch list
  • mode: light-pass, default, or aggressive

If the user does not specify a mode, use default.

Tool Requirements

Preferred

  • x-api for X graph inspection and recent activity
  • lead-intelligence for target discovery and warm-path ranking
  • social-graph-ranker when the user wants bridge value scored independently of the broader lead workflow
  • Exa / deep research for person and company enrichment
  • brand-voice before drafting outbound

Fallbacks

  • browser control for LinkedIn analysis and drafting
  • browser control for X if API coverage is constrained
  • Apple Mail or Mail.app drafting via desktop automation when email is the right channel

Safety Defaults

  • default is review-first, never blind auto-pruning
  • X: prune only accounts the user follows, never followers
  • LinkedIn: treat 1st-degree connection removal as manual-review-first
  • do not auto-send DMs, invites, or emails
  • emit a ranked action plan and drafts before any apply step

Platform Rules

X

  • mutuals are stickier than one-way follows
  • non-follow-backs can be pruned more aggressively
  • heavily inactive or disappeared accounts should surface quickly
  • engagement, signal quality, and bridge value matter more than raw follower count

LinkedIn

  • API-first if the user actually has LinkedIn API access
  • browser workflow must work when API access is missing
  • distinguish outbound follows from accepted 1st-degree connections
  • outbound follows can be pruned more freely
  • accepted 1st-degree connections should default to review, not auto-remove

Modes

light-pass

  • prune only high-confidence low-value one-way follows
  • surface the rest for review
  • generate a small add/follow list

default

  • balanced prune queue
  • balanced keep list
  • ranked add/follow queue
  • draft warm intros or direct outreach where useful

aggressive

  • larger prune queue
  • lower tolerance for stale non-follow-backs
  • still review-gated before apply

Scoring Model

Use these positive signals:

  • reciprocity
  • recent activity
  • alignment to current priorities
  • network bridge value
  • role relevance
  • real engagement history
  • recent presence and responsiveness

Use these negative signals:

  • disappeared or abandoned account
  • stale one-way follow
  • off-priority topic cluster
  • low-value noise
  • repeated non-response
  • no follow-back when many better replacements exist

Mutuals and real warm-path bridges should be penalized less aggressively than one-way follows.

Workflow

  1. Capture priorities, do-not-touch constraints, and selected platforms.
  2. Pull the current following / connection inventory.
  3. Score prune candidates with explicit reasons.
  4. Score keep candidates with explicit reasons.
  5. Use lead-intelligence plus research surfaces to rank expansion candidates.
  6. Match the right channel:
    • X DM for warm, fast social touch points
    • LinkedIn message for professional graph adjacency
    • Apple Mail draft for higher-context intros or outreach
  7. Run brand-voice before drafting messages.
  8. Return a review pack before any apply step.

Review Pack Format

CONNECTIONS OPTIMIZER REPORT
============================

Mode:
Platforms:
Priority Set:

Prune Queue
- handle / profile
  reason:
  confidence:
  action:

Review Queue
- handle / profile
  reason:
  risk:

Keep / Protect
- handle / profile
  bridge value:

Add / Follow Targets
- person
  why now:
  warm path:
  preferred channel:

Drafts
- X DM:
- LinkedIn:
- Apple Mail:

Outbound Rules

  • Default email path is Apple Mail / Mail.app draft creation.
  • Do not send automatically.
  • Choose the channel based on warmth, relevance, and context depth.
  • Do not force a DM when an email or no outreach is the right move.
  • Drafts should sound like the user, not like automated sales copy.

Related Skills

  • brand-voice for the reusable voice profile
  • social-graph-ranker for the standalone bridge-scoring and warm-path math
  • lead-intelligence for weighted target and warm-path discovery
  • x-api for X graph access, drafting, and optional apply flows
  • content-engine when the user also wants public launch content around network moves

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