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Agent Skill · 研究检索

biostartechnologylinkedin(biostartechnologylinkedin 搜索)

biostartechnologylinkedin 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

biostartechnologylinkedin 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 16,843。

总安装 6,960周安装 290GitHub Stars 公开资料未说明下载 2,320核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:biostartechnologylinkedin(biostartechnologylinkedin 搜索)
来源仓库:https://github.com/claytonbernardodasilva/biostartechnologylinkedin
安装命令:
openclaw skills install biostartechnologylinkedin
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install biostartechnologylinkedin

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

biostartechnologylinkedin撰写高效有说服力的LinkedIn帖子。适用于任何专业领域的社交媒体内容创作。采用研究支持的挂钩和经过验证的内容结构。使用前需确认目标受众和行业背景信息。建议了解具体的写作模板和优化策略。

biostartechnologylinkedin 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install biostartechnologylinkedin;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

biostartechnologylinkedin 怎么安装?

在终端执行 openclaw skills install biostartechnologylinkedin。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

biostartechnologylinkedin 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

biostartechnologylinkedin 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

biostartechnologylinkedin 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

biostartechnologylinkedin 用的人多吗?

公开数据是累计安装 6,960 次,近一周安装 290 次,下载 2,320 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

biostartechnologylinkedin 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
biostartechnologylinkedin

biostartechnologylinkedin 搜索 · 本页

6,960—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
linkedin-post-engine
description
Write high-performing, persuasive, and authentic LinkedIn posts across any professional niche. Uses research-backed hooks, proven post structures, and LinkedIn-specific formatting to maximize reach, saves, comments, and profile actions. Use when creating LinkedIn posts, carousels-by-text, thought leadership, founder updates, case studies, hiring posts, launch posts, or converting X/Twitter ideas into LinkedIn content.
metadata

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

平台分布

OpenClaw

98.5%
按下载量换算2,285

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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