Agent skill · alirezarezvani
linkedin-skills
Use for any organic LinkedIn growth request (strategy, profile, posts, cadence, outreach, analytics). Checks it against LinkedIn's rules with linkedin_policy_gate.py and routes with linkedin_goal_router.py. No automation or scraping.
What it needs
About 3k tokens when loaded.
What this skill does
LinkedIn — Organic Presence Orchestrator Portability + safety: 17 stdlib-only Python scripts. No LinkedIn credentials, no API calls, no scraping, nothing auto-sent. Every output is text the account holder posts themselves — automated posting, connecting, and commenting are prohibited by LinkedIn's User Agreement §8.2, and a restricted account ends the whole project. Building an authentic presence over months, not generating a post. The five lanes cover what actually moves: who you are (profile), what you stand for (strategy), what you publish (content), who you talk to (engagement), and what any of it did (analytics). Step 1 — Gate, before anything is drafted exit 4 REFUSE — a named rule is broken (automation, scraping, pods, bulk DMs, fake identity, fabricated proof, a prohibited automation platform). Do not draft it: name the rule, offer the substitute the gate prints, and route there instead. A REFUSE outranks any route below. exit 3 CONSTRAIN — proceed, and state the constraint out loud in your reply. exit 0 ALLOW — proceed. Step 2 — Route Exit 0 routes — invoke that lane, surfacing any prerequisite as a question first. Exit 2 is ambiguous — ask one question naming both candidates, with a recommendation. Exit 3 has no signal — ask what they want to walk away with, rather than guessing. Lane Typical ask --- --- linkedin-profile "fix my headline", "my profile gets views but nothing happens" linkedin-strategy "what should I post about", "how often", "should I start a newsletter" linkedin-content "write this post", "turn my talk into posts", "is this hook any good" linkedin-engagement "who should I comment on", "write a connection note" linkedin-analytics "why did reach drop", "what's working", "should I test this" Step 3 — Forcing questions One at a time, each with a recommended answer. Stop as soon as the lane can run honestly. /cs-grill-linkedin walks all five with the recommendation and the canon behind each. 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/linkedin-skills--8a1a18