notebook-to-production-hardening
De la autor
Guides agents through converting exploratory notebooks into production-ready data jobs. Use when operationalizing notebooks from Databricks, Jupyter, or similar environments into tested, packaged, repeatable workflows.
Instalare
npx skills add vaquarkhan/data-engineering-agent-skills --skill notebook-to-production-hardening -a claude-code
Se instalează în .claude/skills/notebook-to-production-hardening/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 78
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- reporting-bugsjaktestowac/awesome-copilot-for-testersTransforms rough tester notes, screenshots, console output, or observed behavior into reproducible defect reports with severity, evidence, and follow-up guidance. Use when logging bugs, triaging intermittent issues, or rewriting vague defect notes into developer-ready reports.Productivitate★ 118
- jupyter-notebookopenai/skillsUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.OficialRedactare★ 28.4K
- skill.jupyter-notebookAI45Lab/OpenARTUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.Redactare★ 265
- mle-workflowmturac/everything-openai-codexProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.Productivitate★ 83
- harness-engineeringmagnus919/agent-skillsDesign, build, diagnose, and evolve agent harnesses: instructions, tools, execution environments, durable state, context management, verification, recovery, bounded autonomous loops, and software factories that repeatedly turn incoming work into accepted deliverables. Use for director/worker production systems, factory steering, unreliable coding agents, cross-session drift, premature completion, harness audits, or changes to the runtime around a model, including bounded typed-decision routing. Do not use for prompt rewriting alone, model training, general application architecture, or operating an already evaluated agent in production; route those concerns to their specialist skills.Design★ 162
- meeting-noteszhuyansen/agent-skills-hubTurn a meeting transcript into decisions, action items with owners, and open questions.Productivitate★ 482
Note și recenzii
—
nicio recenzie
Ai încercat acest skill? Notează-l ca să-i ajuți pe alții. Autentifică-te
Discuție
Intră în discuție. Autentifică-te