A powerful AI skill designed to transform vague experience descriptions into recruiter-ready resume bullets focused on impact and job relevance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bullet-rewriter
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bullet-rewriter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Bullet Rewriter is a specialized AI agent skill designed to bridge the gap between raw work experience and professional presentation. By analyzing your projects, internships, or work history, this tool generates multiple versions of high-impact resume bullets tailored for specific roles in data, analytics, product, and technology. It ensures that your technical proficiency and business impact are clearly articulated without inventing false data.
As part of the collection of Openclaw Skills, it leverages advanced language modeling to identify weak phrasing and replace it with strong action verbs and concrete technical details. Whether you are a recent graduate or an early-career professional, this skill provides the recruiter-ready wording needed to stand out in competitive job markets by focusing on measurable outcomes and technical specificity.
To integrate Bullet Rewriter into your environment, ensure you have an active AI agent framework that supports Openclaw Skills.
# Example of adding the skill via a CLI if applicable
openclaw install bullet-rewriter
Once installed, you can invoke the skill by providing your experience description and, optionally, a target job description or role name.
The skill organizes its output into a structured format to help users evaluate and choose the best version of their experience:
| Section | Description |
|---|---|
| Input Understanding | A restatement of the user's provided experience to ensure context accuracy. |
| Problems in the Original | A bulleted list identifying weak verbs, lack of scope, or missing impact in the input. |
| Rewritten Versions | Four tailored versions (Professional, Quantified, JD-Aligned, Best Recommended). |
| Why These Versions Are Stronger | A summary of improvements regarding action, scope, and technical framing. |
| Optional Improvement Tips | Actionable advice on additional data points to collect to strengthen the bullet further. |
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