agentleFS
SkillMedevSkillMedev/job-search-kit/skills/networking-system/SKILL.md

networking-system

Skill0 starsChanged 39 days agoMITView on GitHub

Builds a repeatable professional networking system - a tiered contact tracker, give-first outreach and reconnect scripts, a follow-up cadence by tier, and a weekly relationship-hour routine - so staying in touch stops depending on willpower. Use when someone says "help me network for my job search", "how do I reach out to someone I admire", "I'm bad at keeping in touch with contacts", or wants a lightweight personal CRM habit. Do NOT use for sales prospecting sequences - use outreach-sequence-designer instead; for personalizing recruiting outreach, use candidate-outreach-personalizer.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to turn networking from awkward, sporadic effort into a calm, repeatable system built on genuine relationships.

    line 10
  2. Distinctive:

    Keep a simple CRM (spreadsheet or contacts app) with name, context, last touch, and next action.

    line 19
  3. Distinctive:

    Keep messages short, specific, and easy to say yes to.

    line 31

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Networking System

Use this skill to turn networking from awkward, sporadic effort into a calm, repeatable system built on genuine relationships.

1. Define goals

Clarify why you are networking: job search, learning, partnerships, mentorship, or visibility. Goals shape who you reach out to and what you ask for.

2. Map your network in tiers

  • Tier 1: close contacts you can reach anytime.
  • Tier 2: warm acquaintances worth nurturing.
  • Tier 3: aspirational contacts you want to meet. Keep a simple CRM (spreadsheet or contacts app) with name, context, last touch, and next action.

3. Lead with generosity

Give before you ask. Share a useful article, make an introduction, offer feedback, or congratulate a milestone. Relationships compound when you are a net giver.

4. Outreach templates

Cold but warm intro: "Hi [Name], I admired your work on [specific thing]. I'm exploring [topic] and would value 15 minutes of your perspective. No worries if the timing isn't right."

Reconnect: "Hi [Name], it's been a while since [shared context]. I came across [thing relevant to them] and thought of you. How have you been?"

Keep messages short, specific, and easy to say yes to.

5. Run good conversations

  • Prepare 2-3 thoughtful questions.
  • Listen more than you talk; ask about their challenges.
  • Close with a clear, small next step and a thank-you.

6. Follow-up cadence

  • Within 24 hours: send a thank-you noting one specific takeaway.
  • Tier 1: meaningful touch every 1-2 months.
  • Tier 2: every quarter.
  • Tier 3: when you have genuine value to offer. Batch a weekly 30-minute "relationship hour" to send touches.

7. Track and remember

Log personal details (kids' names, interests, goals) so future messages feel personal, not transactional. Set reminders for birthdays and follow-ups.

8. Maintain, don't only mine

Stay in touch when you need nothing. The strongest networks are built before you need them.

Output for the user

Deliver: a tiered contact tracker template, outreach and reconnect scripts, a follow-up cadence calendar, and a weekly relationship-hour routine.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.