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PythonReactSEOPDF

databio AI Skills

GitHub ↗

Explorez les skills IA publiés de databio et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

5

Étoiles des dépôts des skills indexés

5

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

5 skills

Explorer

GitHub

progress-logging

databio

Record session progress to progress.md with date-stamped entries (YYYY-MM-DD format) containing 1-3 sentence summaries. Focuses on outcomes not process, using action verbs like Created, Implemented, Fixed, Refa...

GitHub

analysis-report

databio

Write data analysis reports where all quantitative information appears in programmatically-generated plots, never in hand-written text tables. Prevents AI from fabricating numbers by ensuring all values come fr...

GitHub

documentation-writing

databio

Write documentation using the four-types system (Tutorial, How-to, Reference, Explanation). Each type serves a distinct purpose - don't mix them. Use when creating docs, README files, guides, or any technical w...

GitHub

smoketest-writing

databio

Write isolated integration/smoke tests for FastAPI backends using ephemeral Docker PostgreSQL, TestClient, and dependency injection. Tests run against temporary database (not dev DB), gated by RUN_INTEGRATION_T...

GitHub

python-unit-testing

databio

Write Python unit tests using pytest. Tests should be non-trivial, complete in under 30 seconds, and run with just "pytest". Covers conftest.py fixtures, test organization, parametrization, mocking, and tempora...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.