Add bot-scoped CRUD REST endpoints to CachiBot's FastAPI backend.
npx skills add https://github.com/jhd3197/CachiBot --skill cachibot-api-route
Please help me install this Agent Skill. Skill: cachibot-api-route Source: https://github.com/jhd3197/CachiBot/tree/main/.claude/skills/cachibot-api-route Command: npx skills add https://github.com/jhd3197/CachiBot --skill cachibot-api-route
This Skill streamlines adding new REST API endpoints to CachiBot's FastAPI backend by enforcing project conventions for routing, authentication, data models, and repository storage so contributors can implement features without breaking consistency.
Use the cachibot-api-route skill to create Pydantic request/response models, implement an APIRouter with require_bot_access-protected CRUD endpoints, and register the router in server.py.
High-intent search queries and answers about installing and using this skill.
To add secure REST API endpoints to FastAPI, define Pydantic schemas and APIRouter instances, protect them with JWT-based require_bot_access, then register the router in server.py for bot-scoped CRUD resources.
Structure Pydantic response models for SQLAlchemy CRUD by using camelCase response fields with from_db conversion methods, ensuring repository-backed storage interactions follow consistent project conventions for data serialization.
Use require_bot_access for JWT authentication on bot-scoped endpoints like bookmarks or reminders, and apply require_user when handling global resources, ensuring correct access scoping across FastAPI routes.
Yes, you can use the repository pattern with FastAPI and SQLAlchemy to handle bot-scoped resources, implementing data access through repository-backed interactions while maintaining Pydantic schema validation.
Register a new APIRouter in FastAPI server.py by importing the router module from cachibot/api/routes and including it in the application instance to expose the newly defined CRUD endpoints.
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