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- Linkedin Post Creator
linkedin-post-creator_skill
- Python
15
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill yangliu2060/smith--skills --skill linkedin-post-creator- SKILL.md8.9 KB
Overview
This skill generates high-quality LinkedIn posts tailored to your brand tone and chosen topic, producing ready-to-publish content. It supports multi-turn feedback and automated self-review so drafts are refined until they meet quality thresholds or user approval. Outputs are saved locally for easy access and bulk planning.
How this skill works
The skill collects a concise brand brief (positioning, audience, style, values, avoid-list) and either accepts a user topic or suggests relevant angles based on trends and history. It generates an initial draft, runs an automated quality audit with numeric scores and actionable issues, then iterates edits up to a configurable number of cycles. Final content, metadata, and simple publishing suggestions are exported for user review.
When to use it
- You need a polished LinkedIn post aligned with your personal or company brand.
- You want rapid, iterative drafts with automated feedback before publishing.
- You plan a week of posts and need consistent style across multiple entries.
- You want topic suggestions based on industry trends and past posts.
- You prefer saving final posts to local files for scheduling or reuse.
Best practices
- Provide a short, specific brand brief to ensure consistent voice.
- Use clear hooks (numbers, counterintuitive claims) in the first three lines.
- Keep paragraphs short and include a concrete CTA to drive comments.
- Run 1–2 feedback iterations and accept the draft once overall score ≥ 8.
- Add one supporting image and 3–5 mixed hashtags for reach.
Example use cases
- Write a single post about an AI agent update that matches your professional tone.
- Generate five posts for the week from a content calendar and save them locally.
- Ask the skill to suggest topical post angles based on recent industry news.
- Iteratively improve a draft until the hook and CTA are optimized for engagement.
- Convert a short speaking note or case study into a story-driven LinkedIn post.
FAQ
No. It generates and saves ready-to-publish content; you must copy or upload it to LinkedIn manually or via your own publishing tools.
How many feedback cycles does the skill run?
The default loop runs up to three refinement cycles, stopping early if the automated overall score reaches the configured threshold (commonly 8/10).