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LinkedIn Engagement TEXT

Generates a weekly LinkedIn comment roster within a specific time budget and constructs personalized, non-template outreach messages (connection requests or DMs) while enforcing safety limits on volume and compliance with LinkedIn's user agreement.

5 uses this weeksource alirezarezvanilicence MIT
Quality gate: PASS · better answers · measured 2026-10-23
Blind-judged against the bare model on 2 requests: average lift +1.5 points (specificity, structure, method, fit).
won 1/2, lift +1.5, tokens ×43.05
Security scan: clean · 2026-10-24 · 8 files · ran in sandbox
no network calls, shell tricks, credential access or instruction tampering found in its files.

Try asking

Say it in your own words; the assistant finds this recipe by itself. Examples:

“Jeg har 15 minutter om dagen til LinkedIn. Hvilke konti bør jeg kommentere på for at få mere synlighed i branchen?”
“Skriv en invitationstekst til en HR-chef. Jeg har læst hendes artikel om rekruttering og vil gerne referere til et specifikt citat.”
“Er det okay at sende 25 invitationer i dag? Jeg har allerede 10 ventende og kun en time til rådighed.”
“I have 20 minutes a day to spend on LinkedIn. Who should I be commenting on to grow my audience in the fintech space?”
“Write a connection request for a CTO at a competitor. I read his recent post on API security and want to reference that specific point.”
“Is it safe to send 30 connection requests today? I have 5 pending invites and about 2 hours to spare.”
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Good for

linkedinnetworkingoutreachcommentingconnection-requestdmengagementvolume-limitpersonalization

Not for

Do not use this skill for writing LinkedIn posts or articles, as that falls under content creation skills. It is not for automated bot actions, bulk sending, or engagement pods, which are prohibited. It is also not for general sales process management or cold email campaigns, which require different channel-specific skills.

Details

When it is the right choice

Use this skill when the user wants to increase their visibility on LinkedIn through strategic commenting or needs help drafting a specific, personalized connection request or InMail. It is also appropriate when the user asks for advice on safe outreach volumes, networking strategies, or how to structure a weekly engagement plan without violating platform rules.

The full recipe the assistant reads

LinkedIn Engagement — comments first, outreach second

From a standing start your posts reach almost nobody, and publishing harder does not fix it. A substantive comment on a post that already has an audience puts your name, headline, and a paragraph of thinking in front of people already reading about your subject, for six minutes of work — the cheapest distribution on the platform, and the most badly used.

Nothing here sends anything — no credentials, no API calls. Automated connecting, messaging, commenting, liking, and sharing are prohibited by User Agreement §8.2.

Workflow

1. Build the comment roster. Name 8-12 accounts they would read anyway, with audience overlap and rough size tier, then:

python3 scripts/comment_target_planner.py --account "Priya Raman:5:4:larger" \
  --account "Tomas Lind:5:3:peer" --minutes-per-day 18 --output human

Tiers are huge (10x+, crowded), larger (2-10x, the best ratio), peer (~1x, where reciprocity compounds), smaller (goodwill). The roster caps any account at twice a week — commenting daily on one person reads as following them around — and keeps the huge tier under half of any day. It builds the roster, never the comments: a generated comment is exactly what §8.2 names, and it is recognisable anyway.

2. Outreach — check the volume before writing anything.

python3 scripts/outreach_volume_guard.py --invites 20 --pending 5 --minutes 120 \
  --acceptance 0.42 --output human

Exit 0 safe / 2 tight / 3 over a cap or the time budget / 4 refused above 40 invitations a day, because nobody reads that many profiles and writes that many specific lines. Pending invitations count against the weekly limit (observed around 100), and acceptance below 20% is a stop signal — it is the pattern LinkedIn reviews, and the targeting is wrong.

3. Write one message, for one person.

python3 scripts/outreach_message_builder.py --type connection \
  --recipient "Priya" --specific-line "..." --reason "..." --output human

It refuses without a person-specific line, refuses an ask in a first-touch connection note, and enforces the 200-character cap (300 with --premium). In large third-party samples a note barely moves acceptance (~26.4% either way) but roughly doubles the post-accept reply rate: the note earns the conversation, not the meeting.

4. The order that works. Comment on their work for two weeks. Then invite, referencing something specific from that reading. Then, after acceptance and a pause, ask once, small.

Rules

  • Nothing is auto-sent. Ever. The user pastes and sends, one person at a time.
  • No engagement pods. Coordinated reciprocal commenting is inauthentic engagement under §8.2 regardless of who pressed the key. Build a real reciprocity list instead.
  • Every message carries a line that could only have been written for that person.
  • Never paste the same comment twice. Identical comments at volume are the definition of the thing §8.2 prohibits.
  • One follow-up, a week later, only with something new to say.
  • Agreement is not a comment. Add the counter-example, the number, or the case where it breaks — or skip the slot.

Scripts

Script Role
scripts/comment_target_planner.py Weekly roster from scored accounts, inside a time budget, with per-account and per-tier caps.
scripts/outreach_message_builder.py Assembles one message; refuses templates, premature asks, and 14 dead phrases.
scripts/outreach_volume_guard.py Caps invitations against the observed weekly limit, pending backlog, acceptance floor, and the hours available.

References and assets

Distinct from

  • linkedin-content — writes posts. A comment is a different craft on a different budget.
  • marketing-skill/cold-email — email. Different channel, law, and caps.
  • business-growth/, commercial/ — sales process and deal economics, not networking.

Version: 1.0.0

Files in this skill (9)
  • LICENSE
  • SKILL.md
  • assets/example_outreach.json
  • assets/outreach_worksheet.md
  • references/comment_strategy.md
  • references/outreach_ethics_and_benchmarks.md
  • scripts/comment_target_planner.py
  • scripts/outreach_message_builder.py
  • scripts/outreach_volume_guard.py
Where it comes from

Vendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path marketing/linkedin/skills/linkedin-engagement, licence MIT. The upstream licence file ships inside the skill.