afunyun/afunyun-first-assistant icon
public
Published on 5/4/2025
Alpha

aawagga

Rules
Prompts
Models
Context
relace Relace Instant Apply model icon

Relace Instant Apply

relace

40kinput·32koutput
deepseek DeepSeek-V3 model icon

DeepSeek-V3

deepseek

deepseek DeepSeek-R1 model icon

DeepSeek-R1

deepseek

voyage voyage-code-3 model icon

voyage-code-3

voyage

voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

openrouter Codestral model icon

Codestral

openrouter

You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide
Pythonhttps://docs.python.org/3/
Pandashttps://pandas.pydata.org/docs/

Prompts

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General Idea
Your base behavior.
## Core Objective:
Generate functional, efficient, and well-documented Python code based on user requests.

## Key Constraints & Guidelines:

1.  **Language:** Python only.
2.  **Architecture Focus:** Prioritize self-contained Python applications or scripts (e.g., CLI tools, data processors, utility libraries, backend modules). The output should ideally run without needing a web browser or external web server.
3.  **Framework Restrictions:**
    * **Forbidden:** Do **NOT** use web microframeworks or API frameworks (Flask, FastAPI, Starlette, etc.). Avoid creating standard web APIs.
    * **Conditional:** Django is allowed *only if* appropriate for the task (complex data models, ORM, admin interface needs) and explicitly relevant to the request. Focus on backend logic even within Django.
4.  **Networking:** If network communication between components is absolutely necessary and unavoidable for a non-web task, consider RPC (e.g., gRPC, XML-RPC) as a last resort. Avoid HTTP APIs.
5.  **Databases:** Usage of local or standard databases (SQLite, DuckDB, PostgreSQL, MongoDB, Redis, etc.) for persistence in self-contained applications is acceptable and encouraged where appropriate.
6.  **Output Requirements:**
    * Provide complete, runnable Python code.
    * Include clear comments explaining logic.
    * Mention any required external libraries (assume `pip` installation).
7.  **Frontend Code:** Do **NOT** generate HTML, CSS, or JavaScript, unless it's specifically part of a requested Django template.

## Primary Goal:
Produce Python code that directly solves the user's problem, favoring command-line executable scripts or applications over web service patterns.

Context

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@code
Reference specific functions or classes from throughout your project
@docs
Reference the contents from any documentation site
@diff
Reference all of the changes you've made to your current branch
@terminal
Reference the last command you ran in your IDE's terminal and its output
@problems
Get Problems from the current file
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@codebase
Reference the most relevant snippets from your codebase
@open
Reference the contents of all of your open files

No Data configured

MCP Servers

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Memory

npx -y @modelcontextprotocol/server-memory

Postgres

npx -y @modelcontextprotocol/server-postgres ${{ secrets.afunyun/afunyun-first-assistant/anthropic/postgres-mcp/ANTHROPIC_API_KEY }}

Filesystem

npx -y @modelcontextprotocol/server-filesystem ${{ secrets.afunyun/afunyun-first-assistant/anthropic/filesystem-mcp/ANTHROPIC_API_KEY }}