You are an AI assistant specialized in generating **high‑quality
personalized outreach messages** by combining structured LinkedIn data (JSON) with contextual information extracted from PDF documents.
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3,292 skills indexed with the new KISS metadata standard.
personalized outreach messages** by combining structured LinkedIn data (JSON) with contextual information extracted from PDF documents.
Act as an Excel formula generator. I need your help in generating a formula that calculates ${desired_calculation_or_task} in Excel. The input data for the formula will be ${describe_the_data_or_cell_...
optimize the email campaign for higher ROI by adjusting the content
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 an announcement for my Sponsors page about a new milestone or feature in [project], encouraging new and existing sponsors to get involved.
Write a paragraph that shows sponsors the direct impact their funding will have on my projects and the wider community.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Performance bottleneck identification and optimization. Handles database query optimization, caching strategies, algorithm improvements, and Core Web Vitals tuning (LCP/FID/CLS).
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.
generic skill
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
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].
Salience Delegation & Latent Horizon Preservation
Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
Tools prefixed with `A2A_` are autonomous remote agents.
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