Agent skill

Linkedin Engagement

by ZhixiangLuo in ZhixiangLuo/10xProductivity

Automated LinkedIn engagement workflow. An agent skill from ZhixiangLuo/10xProductivity.

MITAuto-check: notes

Install Linkedin Engagement

skills CLI
$ npx skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZhixiangLuo/10xProductivity linkedin-engagement --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/linkedin-engagement .claude/skills/linkedin-engagement && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-engagement
GitHub stars
479
Token cost
~211 tokens
SKILL.md length
37 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Automated LinkedIn engagement workflow. An agent skill from ZhixiangLuo/10xProductivity.

  • Asked to engage on LinkedIn
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Find a post to comment on
  • Post a LinkedIn comment

What it does

Linkedin Engagement is an agent skill from ZhixiangLuo/10xProductivity. Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn", "find a post to comment on", "post a LinkedIn comment", or "engage on [topic]". Requires LinkedIn session credentials in .env. Everything runs locally — credentials never leave your machine.

Its SKILL.md is about 210 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with LinkedIn. The repository describes itself as: Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have. The licence is MIT.

When your agent uses it

  • Asked to engage on LinkedIn
  • Find a post to comment on
  • Post a LinkedIn comment
  • Engage on [topic]

Example prompts

  • “engage on LinkedIn”
  • “find a post to comment on”
  • “post a LinkedIn comment”
  • “/linkedin-engagement”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a7da40. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkedin Engagement loads about 211 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 37 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~211

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:3
    Requires LinkedIn session credentials in .env. Everything runs locally — credentials never leave your machine.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZhixiangLuo/10xProductivity at commit 9a7da40, republished under its MIT licence (© ZhixiangLuo). 37 words, ~211 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-engagement/SKILL.md (or your agent's skills folder).
name
linkedin-engagement
description
Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn", "find a post to comment on", "post a LinkedIn comment", or "engage on [topic]". Requires LinkedIn session credentials in .env. Everything runs locally — credentials never leave your machine.

Canonical: workflows/linkedin_automation/linkedin_engagement.md (in this repo). This file is a thin pointer for Claude Code skill discovery — load the canonical workflow doc for the full agent loop, setup, privacy notes, and risk warning.

Read workflows/linkedin_automation/linkedin_engagement.md and follow it.

© ZhixiangLuo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/linkedin-engagement of ZhixiangLuo/10xProductivity.

Open the folder on GitHubat commit 9a7da40

Compare with similar skills

Linkedin Engagement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Engagement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Engagement this skillZhixiangLuo/10xProductivity479—~211Automated safety check: NotesMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill135k1 repos~1.8kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
Ad CreativeLeoYeAI/openclaw-marketing-skills1k8 repos~3.4kAutomated safety check: PassCustom licence
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone

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Works with

Questions about Linkedin Engagement

What does Linkedin Engagement do?

Automated LinkedIn engagement workflow. An agent skill from ZhixiangLuo/10xProductivity. Linkedin Engagement is an agent skill from ZhixiangLuo/10xProductivity. Automated LinkedIn engagement workflow.

When should I use Linkedin Engagement?

Linkedin Engagement fits situations like: asked to engage on LinkedIn; find a post to comment on; post a LinkedIn comment; engage on [topic].

How do I install Linkedin Engagement in Claude Code?

Run `npx skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement -a claude-code`. Or copy the skill folder (.claude/skills/linkedin-engagement in ZhixiangLuo/10xProductivity) into .claude/skills/linkedin-engagement in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Engagement in Codex?

Run `npx skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement -a codex`. Or copy the skill folder (.claude/skills/linkedin-engagement in ZhixiangLuo/10xProductivity) into .agents/skills/linkedin-engagement in your project. Codex loads it when a task matches its description.

Can I use Linkedin Engagement in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-engagement, .gemini/skills/linkedin-engagement, .github/skills/linkedin-engagement and .opencode/skills/linkedin-engagement in your project.

What does Linkedin Engagement need to run?

SKILL.md names no scripts, command-line tools or credentials: Linkedin Engagement is instructions for the agent only.

Does Linkedin Engagement access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Linkedin Engagement safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Linkedin Engagement use?

Linkedin Engagement is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Engagement use?

About 211 tokens (SKILL.md is roughly 844 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Linkedin Engagement?

Skills that share tags, products or a category with Linkedin Engagement: Social (coreyhaines31/marketingskills, 54k stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Agent Reach (Panniantong/Agent-Reach, 95k stars) and Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Engagement?

ZhixiangLuo (a GitHub user) maintains it in ZhixiangLuo/10xProductivity, which has 479 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 13, 2026.

Source: ZhixiangLuo/10xProductivity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.