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jfriisj AI Skills

GitHub ↗

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

Statistiques de l’auteur

Skills indexés

9

Étoiles des dépôts des skills indexés

0

Forks du dépôt

0

Moyenne des étoiles par skill indexé

0

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

9 skills

Explorer

GitHub

docker-logs-snapshot

jfriisj

Capture a quick, reproducible snapshot of Docker/Compose logs and container state for debugging. Use when smoke tests fail or you need attachable evidence.

GitHub

compose-bringup

jfriisj

Bring up a Docker Compose stack reliably and verify basic service/container status. Use for local smoke tests, live testing, and staging-like bring-up.

GitHub

http-health-smoke

jfriisj

Run quick HTTP health/readiness smoke checks against one or more endpoints. Use to validate a service is up before running deeper E2E tests.

GitHub

multipart-audio-smoke

jfriisj

Smoke test an audio upload endpoint using multipart/form-data. Use for quick end-to-end validation of transcription pipelines.

GitHub

synthetic-wav-sample

jfriisj

Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.

GitHub

cpu-mode-assertions-torch

jfriisj

Assert CPU-only runtime inside a container using PyTorch (torch.cuda.is_available()==False) and optional env var checks. Use to prevent accidental GPU execution during CPU smoke tests.

GitHub

version-audit-quickscan

jfriisj

Quick scan for version strings across common files (README, pyproject, requirements, package manifests) to avoid release blockers from inconsistent versions. Use before tagging or publishing.

GitHub

python-pytest-run-capture

jfriisj

Run Python pytest suites and capture reproducible evidence (command, environment, output) into agent-output artifacts. Use for QA verification, debugging, and pre-release confidence.

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.