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linkedin-engagement

Name: Linkedin Engagement
Author: ZhixiangLuo

// 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.

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$ git log --oneline --stat

stars:303

forks:49

updated:2026年4月20日 04:25

SKILL.md

readonly

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.

related-skills.json

同じリポジトリ

linkedin-engagement.md

from "ZhixiangLuo/10xProductivity"

2026-04-20303

create-workflow.md

from "ZhixiangLuo/10xProductivity"

Design and build automation workflows using building blocks — clarify outcomes, decompose by dependencies, reuse prior art, verify each block before chaining, and research when stuck. Covers generic divide-and-conquer (problem framing, observable surfaces, investigation vs shipping, CLI contracts) plus human-like pacing for social and communication platforms. Use when automating multi-step processes across tools or platforms.

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discover-ui-surface.md

from "ZhixiangLuo/10xProductivity"

Walk through a UI flow once manually and capture a durable interaction map — which DOM elements to click, which network requests they trigger, and what field shapes they expose. Produces a reusable selector+endpoint reference for automation scripts. Use before writing any Playwright block for a JS-heavy SPA (LinkedIn, Figma, Notion, etc.) where selectors and API paths are not obvious from source inspection alone. Three modes: Chrome DevTools Recorder (fastest), Playwright observer (richest), Playwright codegen+trace (most structured).

2026-04-20303

create-workflow.md

from "ZhixiangLuo/10xProductivity"

2026-04-20303

discover-ui-surface.md

from "ZhixiangLuo/10xProductivity"

2026-04-20303

tool-connector.md

from "ZhixiangLuo/10xProductivity"

Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR systems, and commercial tools like Slack, Confluence, Jira, Linear, GitHub, Outlook, Datadog, and PagerDuty. Use when the user wants to set up a tool connection, connect an internal or custom-built tool, or add a new tool integration from scratch.

2026-04-14303

package.json

"author": "ZhixiangLuo"

"repository": "ZhixiangLuo/10xProductivity"

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$ install --global

$ download --local

Manusで実行

$ useful --forSOC

ソフトウェア開発者コンピュータ・数学職15-1252L4

name

linkedin-engagement

description

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.

linkedin-engagement

このリポジトリの他の Skills

このリポジトリの他の Skills