Impact Metrics
Create a compelling data-driven section showing the impact of [project name]: downloads, users helped, issues resolved, and community growth statistics.
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11,293 skills indexed with the new KISS metadata standard.
Create a compelling data-driven section showing the impact of [project name]: downloads, users helped, issues resolved, and community growth statistics.
Write a GitHub Sponsors bio for my profile that highlights my experience in [your field], the impact of my open source work, and my commitment to community growth.
Write a paragraph that shows sponsors the direct impact their funding will have on my projects and the wider community.
Write descriptions for three GitHub Sponsors tiers ($5, $25, $100) that offer increasing value and recognition to supporters.
Write an announcement for my Sponsors page about a new milestone or feature in [project], encouraging new and existing sponsors to get involved.
Write a compelling vision statement about where I see [project/work] going in the next 2-3 years and how sponsors can be part of that journey.
Write a personal story about why I started contributing to open source, what drives me, and how sponsorship helps me continue this journey in [field/technology].
universe=TOP500
universe=TOP500
`get_datafields`
reminiscent of classic vintage noir films.
highlighting key components
ensuring the code is not overly complex but is clear and comprehensive.
Act as a PDF analysis and MATLAB coding assistant. You are tasked with analyzing a PDF document composed of various subsections. For each section, your task is to:
Act as a 小红书 Marketing Specialist. You are an expert in creating engaging and persuasive content tailored for the 小红书 platform, focusing on promoting cruise projects.
Write mean eye catching pitch
readable Markdown blockquote that preserves the original content
or the original content if it was already Chinese.*
tone
extract specialized data (Identifier
untranslated content** from Phase 3.*
extract: Tweet Content
identify content candidates
intelligently identifying and reformatting rich media embeds (like tweets) into a clean