connections-optimizer
Improves your social network connections. It suggests who to follow or unfollow and helps create personalized messages to expand your network.
What it does
Connections Optimizer helps organize your social networks (X and LinkedIn). It suggests who to remove, who to add, and how to start conversations naturally, so your connections are more useful and aligned with your current goals.
When to use it
- ✓When you want to clean up your X following list.
- ✓When you want to re-evaluate who you follow or stay connected with.
- ✓When you want your connections to help with your current goals.
Example of what to ask your AI
“Help me organize my LinkedIn and X connections, focusing on people who align with my current work in tech.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes your current connections, identifies those that are no longer relevant or interactive, and suggests new connections based on your priorities. It also helps create personalized messages to engage with your network.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill connections-optimizerOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/connections-optimizer/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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, oraggressive
If the user does not specify a mode, use default.
Tool Requirements
Preferred
x-apifor X graph inspection and recent activitylead-intelligencefor target discovery and warm-path rankingsocial-graph-rankerwhen the user wants bridge value scored independently of the broader lead workflow- Exa / deep research for person and company enrichment
brand-voicebefore 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
- 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
- Capture priorities, do-not-touch constraints, and selected platforms.
- Pull the current following / connection inventory.
- Score prune candidates with explicit reasons.
- Score keep candidates with explicit reasons.
- Use
lead-intelligenceplus research surfaces to rank expansion candidates. - 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
- Run
brand-voicebefore drafting messages. - 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.
…
FAQ
What does 'reorganize the network' mean?
It means evaluating who you follow and who follows you to ensure your connections are relevant to your current goals, removing less useful connections and seeking new ones that are more valuable.
Does the tool send messages automatically?
No, the tool never sends messages or makes changes without your approval. It generates drafts and action plans for you to review and decide what to do.
How does it know who I should follow or remove?
It uses information about your current priorities, the type of people you want to reach, and interaction history to make smart suggestions.
Details
Original description by the author
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.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #158
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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