本文へ移動
cccskills
無料GitHub で公開

linkedin-post-formatter

Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns. USE FOR: draft LinkedIn post, format text for LinkedIn, create social media post, write thought leadership post, convert content to LinkedIn format, LinkedIn carousel text, Unicode bold italic formatting.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md5.9 KB
  • references/unicode-charmap.md2.5 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

LinkedIn Post Formatter

Transform raw content, ideas, or technical material into polished, engagement-optimized LinkedIn posts using Unicode typography and proven structural patterns.

Overview

LinkedIn only supports plain text — no Markdown rendering, no rich formatting. This skill uses Unicode Mathematical Alphanumeric Symbols to simulate bold, italic, and bold-italic text that renders natively in the LinkedIn editor without any external tools.

Unicode Typography Reference

When converting plain text into Unicode-styled LinkedIn text, first load and use references/unicode-charmap.md as the authoritative character mapping reference.

Apply these character mappings to create visual emphasis in plain text:

Bold (Mathematical Sans-Serif Bold)

Use bold for key phrases, section headers, and emphasis words.

PlainUnicode Bold
A-Z𝗔-𝗭
a-z𝗮-𝘇
0-9𝟬-𝟵

Italic (Mathematical Sans-Serif Italic)

Use italic for subtle emphasis, technical terms, or quotes.

PlainUnicode Italic
A-Z𝘈-𝘡
a-z𝘢-𝘻

Bold-Italic (Mathematical Sans-Serif Bold Italic)

Use sparingly for maximum emphasis.

PlainUnicode Bold-Italic
A-Z𝘼-𝙕
a-z𝙖-𝙯

Visual Separators

Use these characters to create visual structure:

  • Section divider: ━━━━━━━━━━━━━━━━━━━━━━ (box-drawing heavy horizontal)
  • Bullet points: ◈ (diamond with dot) or ◎ (bullseye)
  • Arrow flow: ↓ for vertical flow, → for horizontal continuation
  • Sub-points: ↳ for indented sub-items
  • Numbered items: Use bold Unicode digits 𝟭. 𝟮. 𝟯. etc.

Post Structure Patterns

Pattern 1: Hook → Content → CTA (General Purpose)

[Bold hook line — provocative statement or question]

[1-2 lines of context setting the stage]

━━━━━━━━━━━━━━━━━━━━━━

[Main content with bold section headers]
[Bullet points using ◈ or numbered with bold digits]

━━━━━━━━━━━━━━━━━━━━━━

[Bold takeaway or summary]

[Call to action — repost, comment, or grab resource]

#Hashtags

Pattern 2: Listicle (Numbered Insights)

[Bold opening line with a strong claim]

[Setup line explaining what follows]

𝟭. [Bold item title]
   [Supporting detail]

𝟮. [Bold item title]
   [Supporting detail]

...

𝗧𝗵𝗲 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: [Summary in italic]

#Hashtags

Pattern 3: Story → Lesson (Thought Leadership)

[Italic opening with a personal or observed moment]

[2-3 short paragraphs telling the story]

━━━━━━━━━━━━━━━━━━━━━━

𝗧𝗵𝗲 𝗹𝗲𝘀𝘀𝗼𝗻:

[Bold lesson or principle extracted from the story]

[CTA]

#Hashtags

Pattern 4: Resource Share (Cheatsheet/Guide/Tool)

[Hook: "If you do X, you cannot miss this..."]

[Brief description of what the resource covers]

━━━━━━━━━━━━━━━━━━━━━━

[Bold section count]. [Bold section titles as numbered list]

━━━━━━━━━━━━━━━━━━━━━━

𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆:

[Why this resource matters — bold key phrase]

[Grab it / Share it CTA]

♻️ 𝗥𝗲𝗽𝗼𝘀𝘁 if this is useful to your network.

#Hashtags

Formatting Rules

  1. Line breaks matter: LinkedIn collapses multiple blank lines. Use single blank lines between paragraphs.
  2. Hook above the fold: The first 2-3 lines must compel the reader to click "see more." Front-load value.
  3. Short paragraphs: 1-3 sentences max per paragraph. Wall of text kills engagement.
  4. Bold sparingly: Bold key phrases and headers, not entire paragraphs.
  5. Italic for nuance: Use italic for technical terms, internal thoughts, or subtle emphasis.
  6. Hashtags at the end: 5-8 relevant hashtags on the last line. No mid-post hashtags.
  7. No emojis in body unless the user explicitly requests them. Exception: one strategic emoji in CTA (♻️ for repost).
  8. Character limit: LinkedIn posts can be up to 3000 characters. Aim for 1500-2500 for optimal engagement.
  9. No URLs in body: LinkedIn suppresses reach for posts with links. Add links in comments instead. Mention "link in comments" or "grab it below" as CTA.

Engagement Optimization

  • Opening hooks that work: Questions, bold claims, "If you do X...", contrarian takes, surprising stats.
  • Closing CTAs that work: "♻️ 𝗥𝗲𝗽𝗼𝘀𝘁 if...", "Save this for later", "Tag someone who needs this", "What's your take? 👇"
  • Whitespace is your friend: Dense text gets scrolled past. Airy, scannable layout wins.
  • The "see more" hook: LinkedIn truncates posts after ~210 characters on desktop. Make sure the first 2 lines create enough curiosity to click.

Process

  1. Analyze the source content (text, HTML, image, or idea).
  2. Identify the best post structure pattern (Hook→Content→CTA, Listicle, Story→Lesson, Resource Share).
  3. Extract the core message and 3-5 key points.
  4. Apply Unicode bold/italic formatting to headers and emphasis words using references/unicode-charmap.md.
  5. Add visual separators between sections.
  6. Write a compelling hook for the opening.
  7. Add a CTA and hashtags at the end.
  8. Verify the post is copy-paste ready for LinkedIn.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

日本語の概要は準備中です。原文の説明を表示しています。

github/awesome-copilot4万2026年10月9日 更新

github のスキルをすべて見る

このスキルの問題を報告する