Career
LinkedIn About Section
LinkedIn About Section turns career context into focused, credible application or development material with clear constraints and an explicit output.
The prompt
LinkedIn About Section guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.
text prompt
Write a LinkedIn About section for me. Here is my background: - Current role: {{title}} at {{company}} - Years of experience: {{x}} - Key expertise: {{area1}}, {{area2}}, {{area3}} - Biggest career achievement: {{describeWithMetric}} - What I am passionate about: {{topic}} - What I am looking for: {{nextCareerMoveOrCollaboration}} Write it in first person with a conversational but professional tone. Open with a hook that is not "I am a..." Start a new paragraph every 2-3 sentences for readability. End with a clear call to action. Keep it under 2000 characters.
Tune the prompt, not the plumbing.
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Customized prompt663 characters
Write a LinkedIn About section for me. Here is my background: - Current role: a specific title at Northstar Studio - Years of experience: a specific x - Key expertise: a specific area 1, a specific area 2, a specific area 3 - Biggest career achievement: a specific describe with metric - What I am passionate about: building a practical weekly planning system - What I am looking for: a specific next career move or collaboration Write it in first person with a conversational but professional tone. Open with a hook that is not "I am a..." Start a new paragraph every 2-3 sentences for readability. End with a clear call to action. Keep it under 2000 characters.
Useful structure, room to move.
LinkedIn About Section guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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