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todo-manager

Manage Todo operations (Create, Read, Update, Delete) using SQLModel and Postgres. Use when the user wants to organize tasks.

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Dépôt
jawwad-ali/hackathonII-Backend
Dernière activité de la source
20 décembre 2025 à 15:53
Langue détectée de SKILL.md
anglais
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2
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SKILL.md
Instructions source · Aperçu en lecture seule
name
todo-manager
description
Manage Todo operations (Create, Read, Update, Delete) using SQLModel and Postgres. Use when the user wants to organize tasks.
# Todo Management Skill ## Executive Summary This skill governs the lifecycle of Todos in the "Advanced AI-Todo" application. It ensures all operations are persistent, async-ready, and compliant with the project's technical mandates. ## Operational Mandates 1. **Environment First:** ALWAYS run `source .venv/bin/activate` before any backend execution or `uv` command. 2. **Dependency Management:** Use `uv` for all package operations. Never use raw `pip`. 3. **Connectivity:** Connect to Gemini 2.5 Flash using the `AsyncOpenAI` class. 4. **Docs Validation:** Before proposing code changes to `SQLModel` or `FastAPI`, call the `context-7` MCP server to verify the latest async patterns. ## Execution Workflow - **Step 1: Planning:** Check `SKILLS/SKILL.md` for current project state. - **Step 2: Documentation:** Query MCP `context-7` for "FastAPI SQLModel Postgres async best practices". - **Step 3: Implementation:** - Use `AsyncOpenAI` for the chatbot logic. - Ensure Postgres connection strings are pulled from environment variables. - Implement CRUD operations as async functions. - **Step 4: Verification:** Run tests using `uv run pytest`. ## Examples - **Input:** "Create a task to buy milk." - **Action:** Invoke `todo-manager` → Search MCP for SQLModel patterns → Generate async code to insert into Postgres → Confirm with Gemini 2.5 Flash.
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