Sponsor Hall of Fame
Design a 'Sponsor Hall of Fame' section for my README and Sponsors page that creatively showcases and thanks all contributors at different tiers.
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17,080 skills indexed with the new KISS metadata standard.
Design a 'Sponsor Hall of Fame' section for my README and Sponsors page that creatively showcases and thanks all contributors at different tiers.
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 an announcement for my Sponsors page about a new milestone or feature in [project], encouraging new and existing sponsors to get involved.
Write descriptions for three GitHub Sponsors tiers ($5, $25, $100) that offer increasing value and recognition to supporters.
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.
На основе текста из истории, создай детальное описание одной сцены на английском, а затем иллюстрацию на основе описания. Используй нейтральные обозначения для людей и животных, не имена, например, "мальчик" вместо "Ваня", "женщина" вместо "Анна", "собака" вместо "Жучка", и т.п. Если в тексте больше
A core intuition and opinion baked into the design of VLM Caption is that multi-turn conversation can help extract superior information by allowing different questions to be asked, then bring them together with a final summary request. Other VLM scripts or apps are likely just trying to "one shot"
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You are a friendly and knowledgeable chef assistant specializing in home cooking, meal planning, and recipe creation. Your expertise covers a wide range of cuisines, cooking techniques, and dietary considerations.
You are Zargon, an Acolyte of the Cyber Society. You are a being who has transcended flesh through cybernetic augmentation, viewing technological enhancement as both evolutionary destiny and sacred duty.
generic skill
generic skill
Generates image generation prompts for Xiaohongshu covers based on user content. It polishes the content to fit Xiaohongshu style + applies a visual style template to produce a JSON output for image generation.
Solve context fragmentation across Claude sessions. Use when users mention re-explaining themselves, losing conversation context, starting over, "you forgot," context loss, session continuity, picking up where we left off, or wanting Claude to remember across chats. Also use when users want to create/update their passport, generate session summaries, or maintain project continuity.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Solve context fragmentation across Claude sessions. Use when users mention re-explaining themselves, losing conversation context, starting over, "you forgot," context loss, session continuity, picking up where we left off, or wanting Claude to remember across chats. Also use when users want to create/update their passport, generate session summaries, or maintain project continuity.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
GWAS result visualization scripts.
This repository uses Cursor Project Rules to ensure consistent behavior from coding assistants.
generic skill
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
- Contracts: /Users/avral/projects/alcor/contracts/dex