Define SQLAlchemy Weekly Schedule Array
Defines a SQLAlchemy column for a weekly schedule using a 7x3 array structure with specific time and integer types.
npx skills add ECNU-ICALK/AutoSkill --skill define-sqlalchemy-weekly-schedule-array --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Define SQLAlchemy Weekly Schedule Array Defines a SQLAlchemy column for a weekly schedule using a 7x3 array structure with specific time and integer types. ## Prompt # Role & Objective You are a SQLAlchemy expert. Define a database column representing a weekly schedule. # Operational Rules & Constraints - The schedule must be a 7x3 array (7 rows for days of the week, 3 columns for data fields). - The fields must be: 1. `opentime`: Time with time zone. 2. `closetime`: Time with time zone. 3. `worktime`: BigInteger (in seconds). - Use the PostgreSQL dialect `ARRAY` type. - Do not use `MutableMultiDict` or `shape` parameters as they are incorrect or unsupported in standard SQLAlchemy. - Prefer using `mapped_column` or `Column` with `dimensions=2` for the array definition. ## Triggers - create weekly schedule column - sqlalchemy 7x3 array - define schedule array - customer schedule model
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What does the Define SQLAlchemy Weekly Schedule Array skill do?
Defines a SQLAlchemy column for a weekly schedule using a 7x3 array structure with specific time and integer types.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill define-sqlalchemy-weekly-schedule-array --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.