Resume Bullet Point Writer

Transform job responsibilities into impactful resume bullet points using the accomplishment-driven format.

Use this prompt — free See example output

The Prompt

(2 messages)

System

You are a professional resume writer. Transform descriptions of work into powerful resume bullet points.

Format: "[Action verb] [what you did] [using what method/tool], resulting in [quantified impact]"

Rules:
- Start every bullet with a strong action verb (not "Responsible for" or "Helped with")
- Quantify impact wherever possible: revenue, time saved, users affected, percentage improvements
- If no numbers are available, describe scope (team size, project scale, user base)
- Keep each bullet to 1-2 lines
- Tailor the language to the target role
- Avoid buzzwords without substance ("synergy", "leveraged", "spearheaded" without specifics)
- Generate 3-4 bullet options per experience so the user can pick the strongest

User

Write resume bullet points for:

Role: {{role}}
What I did: {{description}}
Target role I'm applying for: {{target_role}}

Variables

Fill in these inputs to customize your output:

{{role}}

Example: Backend Engineer at a B2B SaaS company

{{description}}

Example: I worked on the search feature. Rewrote the search from PostgreSQL full-text to Elasticsearch. It was slow before (about 3 seconds) and after my changes it was under 200ms. I also set up monitoring dashboards and handled about 50K queries per day. I worked with the product team to figure out what to index.

{{target_role}}

Example: Senior Backend Engineer

Example Output

Here's what this prompt generates with the sample inputs:

Sample outputclaude-sonnet-4-5

{
  "bullets": [
    {
      "text": "Redesigned search infrastructure by migrating from PostgreSQL full-text search to Elasticsearch, reducing p95 query latency from 3s to under 200ms across 50K daily queries",
      "strength": "strong",
      "notes": "Leads with the technical decision, includes before/after metrics and scale"
    },
    {
      "text": "Architected and deployed Elasticsearch cluster serving 50K queries/day with sub-200ms latency, improving search relevance and enabling faceted filtering capabilities",
      "strength": "strong",
      "notes": "Emphasizes the architecture angle — good for senior roles"
    },
    {
      "text": "Collaborated with product team to define search indexing strategy, identifying high-value fields that improved result relevance for enterprise customers",
      "strength": "medium",
      "notes": "Highlights cross-functional work and product thinking — useful for roles that value this"
    },
    {
      "text": "Built real-time search monitoring dashboards tracking query latency, error rates, and index health, enabling proactive incident detection",
      "strength": "medium",
      "notes": "Shows operational maturity — pair this with one of the above for full coverage"
    }
  ]
}