Linkedin Content Validation

LinkedIn Content Validation

Use this skill after any LinkedIn/profile-content drafting skill produces copy or visual specs.

Workflow

1. Save generated text under content/ as Markdown with YAML frontmatter.
2. Save generated image specs under content/ or assets/ as YAML.
3. Run the formatter.
4. Run the validator.
5. If validation fails, repair the draft using the exact machine-readable error.
6. Repeat until validation passes.

Markdown Contract

Every LinkedIn Markdown file must use frontmatter:

---
platform: linkedin
section: about
---

Text body here.

Supported section values:

• profile_headline
• about
• experience_description
• project_title
• project_description
• post
• comment
• article_title
• article_body

Commands

python3 scripts/format_linkedin_text.py --write content
python3 scripts/format_linkedin_text.py --check content
python3 scripts/validate_linkedin_assets.py content
python3 scripts/validate_linkedin_assets.py content --config config/linkedin_limits.yaml

Repair Priorities

Preserve:

1. quantified hook
2. reader benefit
3. proof metrics
4. mechanism/framework
5. CTA

Remove first:

1. filler words
2. repeated qualifiers
3. duplicated concepts
4. excessive internal details
5. weak adjectives
6. redundant setup

Do not remove blank lines just to fit a character limit. If count_mode is non_newline_unicode_codepoints, shorten actual words instead.