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LinkedIn Post Engine

作者 Bo Seerden · GitHub ↗ · v1.0.3
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install linkedin-post-engine
功能描述
Write high-performing, persuasive, and authentic LinkedIn posts across any professional niche. Uses research-backed hooks, proven post structures, and Linked...
使用说明 (SKILL.md)

READ BEFORE USE

HOW TO USE THIS SKILL EFFECTIVELY

READ BEFORE USE

LinkedIn Post Engine

Overview

This skill helps you create strong LinkedIn posts that feel human, useful, and credible.

It combines:

  • proven hook frameworks,
  • clear narrative structures,
  • proof-first writing,
  • and practical CTA design.

Keywords: linkedin, thought leadership, personal brand, founder posts, b2b content, storytelling, case study, hooks, engagement, authority


Process Workflow

Phase 1: Audience + Positioning (CRITICAL)

Before writing, define:

  1. Audience — Who is this for? (founders, recruiters, engineers, operators, marketers, sales leaders, etc.)
  2. Goal — Reach, authority, leads, hiring, trust, replies, profile visits?
  3. Core insight — What is the one thing worth remembering?
  4. Proof — What makes this believable (numbers, before/after, constraints, mistakes, outcomes)?

If proof is missing, use placeholders like [X%], [Y hours] and request exact values.

Phase 2: Structure + Hook Selection

Choose a format first, then write:

  • Story
  • Framework
  • Contrarian
  • Case study
  • Teardown
  • Build-in-public

Then select 2-3 hooks and finalize one.

Phase 3: Draft + Polish

  • Keep paragraphs short (1-2 lines)
  • Front-load specifics
  • Remove generic filler
  • End with one clear CTA
  • Add 3-6 hashtags max

LinkedIn Feed Dynamics (Practical)

What usually performs best:

  1. Strong first two lines (stops the scroll)
  2. Specificity (numbers > adjectives)
  3. Credible vulnerability (mistakes + lessons)
  4. Clear structure (easy to skim on mobile)
  5. Conversation CTA (quality comments over empty likes)

Avoid:

  • Buzzword soup
  • Generic motivation posts
  • Overlong hashtag blocks
  • Fake certainty without evidence

Hook Formulas (Most Important)

The Contrarian Hook

  • “Most people do [X]. That’s exactly why they stay stuck.”
  • “Unpopular opinion: [industry belief] is outdated.”

The Specific Result Hook

  • “In [timeframe], we improved [metric] by [number]. Here’s how.”
  • “We cut [cost/time] by [X%]. Not with a new tool—by changing this one workflow.”

The Mistake Hook

  • “I made this [role]-mistake for months. It cost us [outcome].”
  • “We shipped the wrong thing fast. Here’s what fixed it.”

The Framework Hook

  • “The [3-step/4-step] framework I use for [outcome].”
  • “If I had to restart as [role], I’d follow these 5 rules.”

The Question Hook

  • “Would you let your team do [X] without [Y]?”
  • “What’s your biggest bottleneck in [domain] right now?”

High-Performing Post Formats

1) “This runs now” (Operational Story)

Best for real systems, workflows, and automations.

Template:

  • bold claim
  • “Not as a demo. As an actual [responsibility/workflow].”
  • “Here’s what it does:” with 4-6 concrete bullets
  • measurable result
  • perspective line + CTA question

2) Case Study

Template:

  • starting problem
  • constraints
  • intervention
  • before/after metrics
  • key lesson
  • optional “comment TEMPLATE” CTA

3) Contrarian Opinion

Template:

  • challenge popular view
  • explain why it fails in practice
  • give 3 practical principles
  • ask a polarizing but constructive question

4) Framework Post

Template:

  • name framework
  • 3-5 steps
  • one mistake to avoid
  • one practical “do this today” action

5) Build-in-Public Update

Template:

  • what shipped this week
  • what worked
  • what broke
  • what changed next
  • ask for informed feedback

Persuasion Principles

Use these to increase clarity and trust:

  • Specificity: “Saved 3.2 hours/week” beats “saved time.”
  • Mechanism: Explain how, not just outcomes.
  • Credibility: Mention tradeoffs, not only wins.
  • Relevance: Tie insight to audience reality.
  • Clarity: One post = one core idea.

Writing Rules

  • Hook in first 1-2 lines
  • 1-2 sentence paragraphs
  • Prefer plain language over hype
  • Use emojis sparingly as section markers
  • Keep claims realistic
  • Never invent outcomes, clients, or credentials

Hashtags:

  • 3-6 max
  • niche + function + audience mix
  • avoid spammy broad tags only

Output Contract

By default, provide:

  1. 3 hook options
  2. 1 full post
  3. 1 spicier variant
  4. 3 first-comment ideas (to deepen discussion)

Optional on request:

  • NL / EN / NL-EN mixed variants
  • X/Twitter adaptation
  • Short + long versions
  • Carousel text outline

Quick Prompt Template

When user gives a raw idea, ask/fill:

  • Audience:
  • Goal:
  • Topic:
  • Proof points:
  • Tone:
  • CTA preference:

Then generate outputs per contract above.


Common Pitfalls to Avoid

  • Generic “AI changed everything” without concrete examples
  • No proof signals
  • Too many ideas in one post
  • CTA mismatch (asking for leads on a pure thought-leadership post)
  • Over-formatting with noisy symbols

Execution Checklist

Before finalizing:

  • Hook is strong and specific
  • Core claim is clear
  • Includes at least one proof signal
  • Easy to skim on mobile
  • CTA invites real conversation
  • Hashtags are relevant and limited
  • Tone feels authentic to author
安全使用建议
This skill is an instruction-only authoring template for LinkedIn posts and appears coherent and low-risk. Before installing or using it: (1) do not paste sensitive or confidential client data into prompts (the skill asks for proof points and specifics), (2) verify any numbers/claims the model fills in (it suggests placeholders), and (3) review generated posts for accuracy and compliance with your employer or client policies. No credentials or system access are requested — the main operational risk is accidental disclosure of sensitive information in the conversation.
功能分析
Type: OpenClaw Skill Name: linkedin-post-engine Version: 1.0.3 The skill bundle is benign. All files, including `_meta.json`, `SKILL.md`, and `references/post-formats.md`, are entirely focused on providing instructions and reference material for an AI agent to generate LinkedIn posts. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's purpose or perform unauthorized actions. The instructions in `SKILL.md` are detailed but strictly confined to content creation and interaction guidance.
能力评估
Purpose & Capability
Name and description match the SKILL.md: the skill only contains guidance and templates for writing LinkedIn posts and does not request unrelated binaries, credentials, or system access.
Instruction Scope
The SKILL.md stays within the scope of crafting social posts and templates. It does ask the agent to request/insert proof points (e.g., numerical placeholders like [X%]) and to prompt the user for Audience/Proof/Tone; users should avoid supplying sensitive or client-confidential data. There are no instructions to read system files, environment variables, or send data to unexpected endpoints.
Install Mechanism
No install spec and no code files — instruction-only skills have minimal disk/exec footprint. Nothing is downloaded or written by the skill itself.
Credentials
No required environment variables, credentials, or config paths are declared or referenced. The guidance does not request tokens or external service keys.
Persistence & Privilege
always is false and there is no behavior that modifies other skills or system-wide agent settings. Autonomous invocation is allowed but that is the platform default and is not combined here with other red flags.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkedin-post-engine
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkedin-post-engine 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.3
Generic rewrite + Twitter-style structure, hooks, and execution checklists
v1.0.2
Added Twitter-skill style structure + OpenClaw metadata; generalized for all niches
元数据
Slug linkedin-post-engine
版本 1.0.3
许可证
累计安装 1
当前安装数 1
历史版本数 2
常见问题

LinkedIn Post Engine 是什么?

Write high-performing, persuasive, and authentic LinkedIn posts across any professional niche. Uses research-backed hooks, proven post structures, and Linked... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 512 次。

如何安装 LinkedIn Post Engine?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkedin-post-engine」即可一键安装,无需额外配置。

LinkedIn Post Engine 是免费的吗?

是的,LinkedIn Post Engine 完全免费(开源免费),可自由下载、安装和使用。

LinkedIn Post Engine 支持哪些平台?

LinkedIn Post Engine 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 LinkedIn Post Engine?

由 Bo Seerden(@bdseerden)开发并维护,当前版本 v1.0.3。

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