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Transform career achievements, projects, and operational wins into guide titles that are useful to readers.

Review homepage copy for clarity, authority, reader value, and layout usefulness.

Convert raw work history into measurable resume and LinkedIn experience bullets with outcomes, scope, mechanisms, tech stack, and credibility signals under character limits.

Use when drafting, saving, formatting, validating, or repairing LinkedIn profile and content assets in this repository, including headlines, About sections, Experience descriptions, project copy, posts, articles, and LinkedIn image specs.

Rewrite resume, LinkedIn, portfolio, and case-study bullets so they show outcomes, not just activities.

Write GitHub profile bios, project README intros, and technical-lab positioning that honestly distinguishes personal experiments from professional experience while making the builder identity clear.

Create strong Proof-Promise-Plan openings for articles, landing pages, README files, LinkedIn posts, videos, and guides.

Design personal websites, portfolios, landing pages, and README hubs around what the reader can gain, not around generic sections like Blog, Projects, and Resume.

Use when a user wants to turn Career Positioning OS resume content into a RenderCV YAML file, install or use the external RenderCV agent skill, or render a resume/CV PDF without reimplementing RenderCV's schema, CLI, themes, or PDF generation.

Rewrite GitHub repository names, About descriptions, README intros, and website tool cards so they communicate practical user value.

Turn an article, video, repository, product, job post, service, or offer into a high-attention value unit: title/headline, thumbnail or visual concept, curiosity gap, proof, and sequential hook. Use when the user wants clickable titles, article thumbnails, project thumbnails, repo/social preview images, hooks, offer framing, or a generalizable value-communication critique.

Generate visual concepts and image prompts for profile banners, article headers, thumbnails, and wallpapers using current-state, desired-state, and transformation-mechanism storytelling.