القائمة
UV package manager for fast Python dependency management and virtual environments. Use when installing packages, managing dependencies, or setting up virtual environments.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".
Bioinformatics workflows — RNA-seq and scRNA-seq analysis pipelines, enrichment analysis (GO/KEGG/GSEA), variant interpretation, protein structure analysis, and key database queries. Use when analyzing genomic, transcriptomic, or proteomic data.
Experimental and ecological biology — experimental design with controls/replicates, biology-specific statistical tests, diversity indices, cell biology assays (IC50, ELISA, flow cytometry), imaging analysis, and survival analysis. Use when working with biological experimental data.
Causal inference methods — DAG-based causal thinking, distinguishing observational from experimental data, IV, DiD, RDD, propensity score matching, and sensitivity analysis. Use when making causal claims from data.
Cheminformatics and computational chemistry — SMILES/InChI parsing, molecular property prediction, spectroscopy interpretation, DFT workflow, materials characterization (XRD, SAXS), and key chemistry databases. Use when analyzing chemical or materials data.
CS theory for research — algorithm complexity analysis, data structure selection, rigorous benchmarking discipline, distributed systems fundamentals, and formal verification concepts. Use when reasoning about algorithmic correctness, efficiency, or system design.
| name | uv-package-manager |
| description | UV package manager for fast Python dependency management and virtual environments. Use when installing packages, managing dependencies, or setting up virtual environments. |
| allowed_agents | ["experiment","native_coding"] |
| preload_for | ["experiment","native_coding"] |
uv is an extremely fast Python package installer (10-100x faster than pip), written in Rust.
# Virtual environment
uv venv # Create .venv
uv venv --python 3.12 # With specific Python version
uv run python script.py # Run in venv (no activation needed)
uv run pytest # Run CLI tool in venv
# Dependency management (pyproject.toml based)
uv add requests pandas # Add packages
uv add --dev pytest black # Add dev dependencies
uv remove requests # Remove package
uv sync # Install all dependencies from lockfile
uv lock # Create/update lockfile
# pip-compatible interface
uv pip install -r requirements.txt # Install from requirements
uv pip install package_name # Install single package
uv pip list # List installed packages
# Python version management
uv python install 3.12 # Install Python version
uv python pin 3.12 # Pin version for project
uv init . && uv add <deps> && uv run python main.pyuv sync to install all deps from lockfileuv run <command> instead of activatinguv add over uv pip install — it updates pyproject.toml and lockfile