skills/linkedin-post-formatter/SKILL.md
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.
npx skillsauth add williamlimasilva/.copilot linkedin-post-formatterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Transform raw content, ideas, or technical material into polished, engagement-optimized LinkedIn posts using Unicode typography and proven structural patterns.
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.
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:
Use bold for key phrases, section headers, and emphasis words.
| Plain | Unicode Bold | |-------|-------------| | A-Z | 𝗔-𝗭 | | a-z | 𝗮-𝘇 | | 0-9 | 𝟬-𝟵 |
Use italic for subtle emphasis, technical terms, or quotes.
| Plain | Unicode Italic | |-------|---------------| | A-Z | 𝘈-𝘡 | | a-z | 𝘢-𝘻 |
Use sparingly for maximum emphasis.
| Plain | Unicode Bold-Italic | |-------|-------------------| | A-Z | 𝘼-𝙕 | | a-z | 𝙖-𝙯 |
Use these characters to create visual structure:
━━━━━━━━━━━━━━━━━━━━━━ (box-drawing heavy horizontal)◈ (diamond with dot) or ◎ (bullseye)↓ for vertical flow, → for horizontal continuation↳ for indented sub-items𝟭. 𝟮. 𝟯. etc.[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
[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
[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
[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
references/unicode-charmap.md.development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.