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linkedin-post-writerlinkedin 帖子作者

Agent Skill

linkedin-post-writer 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。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。

总安装

2,970

周安装

119

GitHub Stars

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下载量

962
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:linkedin-post-writer(linkedin 帖子作者)
来源仓库:https://github.com/sergebulaev/linkedin-post-writer
安装命令:
openclaw skills install linkedin-post-writer
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 linkedin-post-writer

简介

使用经过验证的 2026 年挂钩公式、量身定制的语音以及为创始人、营销人员和思想领袖提供的日程安排选项起草 LinkedIn 帖子。

SKILL.md

name
linkedin-post-writer
description
Draft a viral-ready LinkedIn post using a 2026 hook formula. Use when the user wants to write a new LinkedIn post, needs help with a hook, or wants to pick a proven format (platform-risk anaphora, R.I.P. obituary, year-over-year pivot, time-anchor confession, self-proving meta, paid-vs-free reversal, curiosity-gap teaser, odd-precision money ledger, contrarian historical receipts). The skill drafts the post, runs the humanizer pass, shows an approval card, and schedules via Publora on confirmation. Keywords: linkedin post, viral hook, personal brand, founder post, content draft, thought leadership, 2026 algorithm.

LinkedIn Post Writer

Ship long-form LinkedIn posts using hook formulas that actually performed in 2025-2026 (verified engagement multipliers from Jake Ward, Lara Acosta, Cam Trew, Noam Nisand, Alex Vacca, Richard Illingworth, Naïlé Titah).

When to use

  • User says "write me a LinkedIn post about X"
  • User has a topic + a rough angle and needs a hook + structure
  • User wants to pick from known-winning formats and fill in their voice
  • User wants to audit + schedule in one flow

Formulas this skill can use

CodeFormulaReference engBest for
F1Platform Risk Anaphora (Jake Ward)4,240Category/platform posts, product-as-fix
F2R.I.P. Obituary (Alex Vacca)3,822Era-ending claims, industry pivots
F3Year-over-Year Pivot (Cam Trew)494, 3.74xIdentity shifts, founder reflection
F4Time-Anchor Confession (Lara Acosta)1,519+Vulnerability, voice reset, ICP re-targeting
F5Self-Proving Meta (Noam Nisand)1,082 / 435 commentsCommitment-based posts, tests in public
F6Comment-Gate Lead Magnet (Illingworth)717-3,008List building (use sparingly, capped reach)
F7Odd-Precision Money Ledger (Jake Ward)1,755, 9.4xFounder build-log, cost breakdowns
F8Paid-vs-Free Reversal (Illingworth)550, 19.64xFree framework give-away
F9Curiosity-Gap Teaser (Naïlé Titah)306, 4.25xEmergent behavior, behind-the-scenes
F10Contrarian + Historical Receipts (Jake Ward)3,083Sacred-cow takes, AI/tech cycles

Full skeletons in references/hook-formulas.md.

Steps

  1. Gather inputs. Topic, angle, draft ideas if the user has them, target audience (founders / operators / marketers), desired length (short 300-500 / medium 900-1300 / long 1500-1900 chars).
  2. Pick the formula. If the user didn't specify, suggest 2-3 formulas that fit the topic and let them pick. Show the reference engagement number next to each.
  3. Draft the post. Fill the formula skeleton with user voice. Respect the 2026 algorithm rules:

- Hook in first 210 chars (before "… see more") - 900-1,300 char sweet spot for text posts - Double line-breaks between ideas, not single - 0-2 hashtags, placed at end - No external links in body (move to first comment)

  1. Humanizer pass. Strip em dashes, AI vocab, rule-of-three, generic openers. Add at least 1 specific number, 1 named entity, 1 first-person concrete detail per 100 words.
  2. Run audit. Optionally invoke linkedin-post-audit for algorithm + voice checks before showing to user.
  3. Approval card. Show: formula used, full draft, char count, suggested posting window (Tue/Wed/Thu 7:30-9:00 AM local), reaction targets from likely commenters.
  4. On approval — adapt to the active backend. Call lib.active_backend():

- publora (PUBLORA_API_KEY set) → schedule via lib.PubloraClient.create_post with LinkedIn platformId. If scheduledTime omitted, Publora posts ~90s in the future. - manual (no backend configured — the default) → output the approved post via lib.manual_mode_message(draft_text, target_url="https://www.linkedin.com/post/new/", kind="post"). User pastes directly into LinkedIn's post composer. Do NOT attempt to publish programmatically. - diy (LINKEDIN_SKILLS_CUSTOM_POSTER set) → invoke the custom poster with the post content + optional media URLs.

Hard rules (from user feedback)

  • No em dashes. Ever. Period.
  • Capitalize all names, companies, products.
  • Never frame LinkedIn as inferior in a LinkedIn post (algo penalty).
  • Don't name-drop the user's product in a way that reads as self-promo. One mention max, and only when it's the natural conclusion, not the pitch.
  • Include at least one moment of real vulnerability or concrete stakes — pure insight posts don't land in 2026.
  • Vary sentence length aggressively. Mix 3-word sentences and 25-word sentences.

Anti-patterns (skill will refuse)

  • All-caps first line ("THIS CHANGED EVERYTHING.")
  • Em dashes anywhere
  • "In today's fast-paced world" openers
  • Rule-of-three lists without receipts
  • "Game-changer", "deep dive", "leverage", "fundamentally"
  • External links in the body
  • Reused engagement-bait closers ("tag someone who needs this")

Resources

  • references/hook-formulas.md — all 10 formula skeletons with worked examples
  • references/algorithm-heuristics.md — 2026 posting rules (timing, format, length)
  • references/humanizer-checklist.md — the full scrub list
  • Upstream: ../../corporate-knowledge/personal/knowledge/linkedin/serge/2026-04-13-viral-drafts/ — canonical reference drafts

Related skills

  • linkedin-post-audit — run this on any draft before publishing
  • linkedin-humanizer — aggressive AI-tell scrubber
  • linkedin-hook-extractor — reverse-engineer a hook from a viral post you admire

适合场景

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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