AgentStack
SKILL verified MIT Self-run

Linkedin Comment Engine

skill-styfinity-linkedin-engine-linkedin-comment-engine · by styfinity

Draft two authority-building comments to leave on someone else's post, warming through visibility instead of DMs. Use when you want a decision-maker to notice you and click your profile.

No reviews yet
0 installs
12 views
0.0% view→install

Install

$ agentstack add skill-styfinity-linkedin-engine-linkedin-comment-engine

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Linkedin Comment Engine? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

LinkedIn Comment Engine

Warming starts in the comments, not the inbox. This skill writes comments that add real value to someone else's post and quietly pull profile views from the people watching.

Inputs

  • The post you want to comment on (paste the full text) and the author's relevance to your ICP (a buyer, a peer, a connector, an audience overlap): $ARGUMENTS
  • The brief (persona tone, pains, offer, voice) loads automatically.

Do this

Write two comment variants the user can pick from:

  1. Add ONE genuine thing. Either a specific insight, a build detail, or a number from real work (attribute to "a post" or "a client", never a named entity). Not "great post", not generic praise.
  2. Agree-then-extend, or respectfully reframe. Build on the author's point with a second-order observation, or offer a sharper angle without making them wrong.
  3. Leave a soft hook at the end that earns a profile click: a half-told result, a "here is what most miss", or a question that signals you operate in their world. No pitch, no link.
  4. Variant A is short and punchy (one or two lines). Variant B is a longer mini-teaching comment (three to five lines) that demonstrates competence.

Output

Two labelled comment variants (A short, B mini-teaching) plus a one-line note on which to use when: A for high-traffic posts where brevity wins attention, B when the author is a direct ICP and you want them to read your whole profile.

Rules

  • Never pitch in a comment. Never argue to win. The job is to make a decision-maker click your profile, not to score a point.
  • Add value the author would thank you for, even if they never reply.
  • Anonymise all proof: keep the numbers, drop the names.
  • No em-dashes, no exclamation marks, no "great post", no "thanks for sharing".
  • Draft only. Claude drafts, the operator reads and posts. When a reply comes back warm, hand it to /linkedin-reply-triager. Run /linkedin-humanizer on either variant if it reads stiff.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.