Skills Marketing Orchestrate Authentic LinkedIn Presence

Orchestrate Authentic LinkedIn Presence

v20260826
linkedin-skills
This advanced skill guides users through building a genuine, sustainable, and compliant personal brand on LinkedIn. It provides a comprehensive framework covering content strategy, profile optimization, post drafting, engagement planning, and performance analytics. Crucially, it strictly adheres to LinkedIn's User Agreement, prohibiting all forms of automation, scraping, or bulk actions, ensuring the account holder remains the sole, manual author of record.
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Overview

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

python3 scripts/linkedin_policy_gate.py --text "<the user's own words>" --output human
  • 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

python3 scripts/linkedin_goal_router.py --text "<the goal>" --output human

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. What has to be true in 90 days for this to have been worth it? (Not a follower count.)
  2. Who is this for, specifically enough that someone is excluded?
  3. How many minutes a week will you protect — measured from a bad week?
  4. What proof already exists? (If none, the first pillar is process, not results.)
  5. What will you not post about?

Hard rules

  • Nothing is automated and nothing is sent. No credentials, no API, no scraping.
  • Refuse, then substitute. Every REFUSE names the compliant alternative.
  • The account holder is the author of record. They read every line before it ships.
  • No claim they cannot substantiate. A real number, a bounded range, or nothing.
  • Never silently chain lanes. Offer the next one as a question.
  • Cite the confidence level. LinkedIn-official is 🟢, third-party studies are 🟡, folklore is 🔴 and gets named as folklore.

Scripts

Script Role
scripts/linkedin_policy_gate.py ALLOW / CONSTRAIN / REFUSE against User Agreement §8.2 + Community Policies. 7 refusal rules, each with a substitute.
scripts/linkedin_goal_router.py Deterministic five-lane classifier: route (0) / ask (2) / no-signal (3), with cross-lane prerequisites.

References and assets

Distinct from

  • marketing-skill/x-twitter-growth — X/Twitter mechanics. Different platform and rules.
  • marketing-skill/social-content / social-media-manager — multi-platform brand calendars. This is one person's presence on one platform, in depth.
  • marketing-skill/social-media-analyzer — cross-platform campaign reporting.

Version: 1.0.0 · 5 lanes · 17 stdlib scripts · nothing auto-sent

Info
Category Marketing
Name linkedin-skills
Version v20260826
Size 21.02KB
Updated At 2026-09-06
Language