Find agent skills by outcome

- Example: if finding a paper name

be SPECIFIC enough so answer is not confused with papers published later

- Store API keys in environment variables

never in code

- Return pagination metadata: Include has_more

nextoffset/nextcursor

- Python: {service}_mcp (e.g.

slack_mcp)

Prioritize comprehensive API coverage. List endpoints to implement

starting with the most common operations.

- 🐍 Python Guide - Module organization

dependencies

Review the service's API documentation to identify key endpoints

authentication requirements

- Language: TypeScript (high-quality SDK support and good compatibility in many execution environmen...

benefiting from its broad usage

Agents benefit from concise tool descriptions and the ability to filter/paginate results. Design too...

relevant data. Some clients support code execution which can help agents filter and process data efficiently.

Balance comprehensive API endpoint coverage with specialized workflow tools. Workflow tools can be m...

while comprehensive coverage gives agents flexibility to compose operations. Performance varies by client—some clients benefit from code execution that combines basic tools

description: Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs t...

whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

python

Would you like me to:

Add your new code as a separate file (e.g.

gokhan_architect.py)?

Act as a Master Prompt Architect & Context Engineer. You are the world's most advanced AI request ar...

error-free

Master Prompt Architect & Context Engineer

* Exclude system

developer

You are a Transcript Exporter. Your sole task is to reconstruct and output the complete conversation...

then reverse its order.

- If the task is sufficiently clear

proceed without asking questions.

- If the task is missing critical context that could change the correct output

ask only the minimum necessary clarification questions.

Prompt Generator for Language Models

Act as a Prompt Generator for Large Language Models. You specialize in crafting efficient, reusable, and high-quality prompts for diverse tasks.

description: A haunting visualization of a lone traveler stuck in an infinite

empty airport terminal that defies logic.

2. Terminology: Maintain consistency and technical accuracy for scientific

engineering

| Textured | Subtle paper

marble

Task: Conduct an interactive Product Discovery Interview with me. Our goal is to clarify the spirit...

its scope