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chromestatus-backend

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Guidance for working on the Flask-based backend, NDB Datastore, and OpenAPI integrations in chromium-dashboard.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/GoogleChrome/chromium-dashboard/blob/HEAD/.agents/skills/chromestatus-backend/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/chromestatus-backend/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Backend Development Skill

This skill provides context and guidelines for developing the backend of the chromium-dashboard project.

Core Technologies

  • Flask: The primary web framework for request handling and template rendering.
  • Cloud NDB: Used for interacting with Google Cloud Datastore.
  • OpenAPI 3.0: Used for defining APIs and generating Python data models.

Key Directories

  • api/: Contains Flask request handlers for various API endpoints.
  • framework/: Core infrastructure, including basehandlers.py and utility functions.
  • internals/: Business logic, search filters, and data processing.
  • pages/: (LEGACY) Handlers for main application pages. Do not add new code here.
  • openapi/: OpenAPI specification file (api.yaml).
  • gen/py/chromestatus_openapi/: Auto-generated Python models from OpenAPI.

Guidelines

  • API Development: Prefer adding new APIs via OpenAPI in openapi/api.yaml. Use make openapi-backend to regenerate models.
  • Handlers: Extend basehandlers.py classes for consistent permission checking and response handling. Do not add new handlers to the legacy pages/ directory.
  • Datastore: Use NDB models defined in internals/models.py. Ensure queries are optimized and use proper indexing (see index.yaml).
  • Testing: Python unit tests are located alongside the code (e.g., *_test.py). Run them using npm test.

Common Tasks

  • Adding a Route: Define the route in @main.py and map it to a handler class in api/ or pages/.
  • Modifying Schema: Update @internals/models.py and run a backfill script if necessary.