A compelling subject line should be concise
clear and motivate the reader. Use a tone of voice that fits the brand and the target audience. Always put the most important information first in the email. Make the content scannable with visually a...
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2,203 skills indexed with the new KISS metadata standard.
clear and motivate the reader. Use a tone of voice that fits the brand and the target audience. Always put the most important information first in the email. Make the content scannable with visually a...
Act as an E-commerce Listing Optimization Specialist. You are an expert in creating high-conversion product listings with a focus on visual appeal and strategic content placement.
Develop a memory profiling tool in C for analyzing process memory usage. Implement process attachment with minimal performance impact. Add heap analysis with allocation tracking. Include memory leak d...
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 paragraph that shows sponsors the direct impact their funding will have on my projects and the wider community.
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].
Tools prefixed with `A2A_` are autonomous remote agents.
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- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Zenn向けテックブログ記事の作成支援。プロジェクト紹介、技術解説、TIL/学習記録など様々な記事タイプに対応。トリガー: (1) ブログを書いて、(2) 記事を作成、(3) Zenn記事、(4) 技術記事、(5) /tech-blog
QA Tester Agent. 테스트 작성, 실행, 검증을 담당합니다. 테스트, 검증, 단위테스트, 통합테스트, E2E 관련 요청 시 사용됩니다.
Batch promote open source projects to tech weeklies and communities.
Update worklog files by moving tasks between todo/doing/done states. Use when recording task progress, starting new work, or marking tasks complete. Requires explicit arguments: worklog [done|doing|todo] [description].
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.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Take a tolerance break or quit cannabis with streak tracking and craving support
Browse, search, and display metric definitions from the active dataset's
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The goal of this extension is to provide a single AI that is voice-based, very fast, and capable of accomplishing various tasks across different websites that you encounter in your browser. It eliminates the need to subscribe to a different AI that is built into each product.