deep learning commands

streamlit/streamlit

Command Claude Code

Fix CI failures and address PR review comments.

streamlit/streamlit

Command Claude Code

Run QA testing on the current branch's feature.

streamlit/streamlit

Command Claude Code

Simplify and refine code changes in this branch.

PINA-org/PINA

Command Claude Code

../../.opencode/commands/pina-agentic.md.

ayutaz/piper-plus

Command Claude Code

A step-by-step guide for adding a new spoken language to piper-plus, including its pronunciation rules and text-to-speech processing. You provide a language code such as de, it, or da.

ayutaz/piper-plus

Command Claude Code

A command for reviewing a newly added language in the Piper speech-synthesis project across its Python, Rust, C++, C# and JavaScript code.

ZIB-IOL/The-Agentic-Researcher

Command

Reflect on the current research session and collect improvement suggestions.

ZIB-IOL/The-Agentic-Researcher

Command

Set up or start a research project.

ZIB-IOL/The-Agentic-Researcher

Command

Update project instruction file with the latest base template while preserving project-specific instructions.

demml/opsml

Command Claude Code

Run the full OpsML test suite (Rust + Python) before submitting a PR. Capture and report all errors clearly at each step. Stop a workflow only if a step produces errors that would block the next step from running correctly.

Aznatkoiny/zAI-Skills

Command

Audit the local OpenClaw install against the openclaw-setup skill's security checklist — version, binding, auth, channel policy — with a pass/fail table and remediations.

Aznatkoiny/zAI-Skills

Command

Scaffold a Python RL project — custom Gymnasium env, SB3 training script with EvalCallback + VecNormalize, Optuna tuning stub, and validation targets in a Makefile.

Aznatkoiny/zAI-Skills

Command

Generate a formatted resume from your career profile, optionally tailored to a specific role or rendered into a LaTeX template.

mxslr/mlcraft

Command

Start a professional AI/ML research-engineer workflow for a task (any domain - CV, medical imaging, NLP/LLM, tabular, time-series). Researches papers first, picks the best method, trains/evaluates rigorously and honestly.