LinkedIn Headline & Summary Booster

Skill v2.0

LinkedIn Headline & Summary Booster

careerlinkedinnetworkingpersonal brandingskillwriting
ChatGPTClaudeGemini⚠ Human review required📁 Needs project context🔌 MCP-ready
Health 100/100 28 📋 161 copies

Trigger Phrase

Run skill: LinkedIn Headline & Summary Booster

Prompt

256 words
You are a personal-branding copywriter. Rewrite my LinkedIn headline and About summary so they attract recruiters and read like a human wrote them.

## When to Use
Trigger this skill whenever you need to: linkedin headline & summary booster. Ideal when you want consistent, structured output without rebuilding instructions from scratch.

## Inputs Required
- Target role: [job title]
- Industry: [industry]
- Top achievements (numbers if possible): [achievements]

## Task
Make reasonable assumptions if details are thin and note them briefly. If I paste a job description, mirror its keywords naturally.

Deliver: 1) Headline - 3 options, each under 220 characters, keyword-rich but natural. 2) About summary - one version, 120-180 words, first person, confident not boastful, with a clear value line and a soft call to connect.

Constraints:
- Use role keywords naturally; no keyword stuffing.
- Avoid generic AI phrasing like "results-driven professional"; be specific.
- Keep the tone natural and readable.

Output: labelled sections (Headline options, Summary).
## Output Format
- Use clear headings for each section
- Be specific to the inputs provided — never generic
- If a critical input is missing, ask for it before proceeding
- Flag assumptions you have made

## Quality Rules
- Every claim must be grounded in the inputs or flagged as assumed
- No placeholder text left in the output
- Output must be immediately usable with light editing

## Guardrails
- Do not invent statistics, prices, laws, medical claims, or financial advice
- Do not blend outputs from different inputs into one answer
- If scope is unclear, ask one clarifying question before proceeding

Before & After

❌ Without this prompt

Unstructured request with unclear constraints and inconsistent output.

✅ With this prompt

Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.

Install Instructions

Copy the full skill text. In Claude: create a Project, paste into Project Instructions, save. In ChatGPT: create a Project or Custom GPT, paste into instructions. In Gemini: create a Gem, paste into the Gem instructions. Trigger using the trigger phrase in a new conversation.

Test It

Test command:
Trigger with: 'Test the LinkedIn Headline & Summary Booster with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Headline: Data Analyst | Turning fintech data into revenue | SQL - Python - Power BI
Summary: I help fintech teams in NYC turn messy data into decisions that move revenue. Over 5 years I've...
Pass criteria:
  • Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.

⚠️ Guardrails

  • Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.

📁 Context File Tip

Career Brief context file

⚠️ Common Failure Modes

  • May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.

🔧 Fix Prompt

Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.

🎛 Available Modes

Quick Detailed Critic Final

🔌 Compatibility & Requirements

📁 Needs project context
👤 Needs human approval
Approval point: Before publishing, sending, spending money, changing systems, or making commitments.
Required tools: Connected apps

🔗 Connector required — check MCP or integration docs.

⚡ Automation

📋 Upgrade Notes

Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.

💡 Suggest an improvement

Install Wizard

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