When given a Python project codebase, this skill helps the agent to set up virtual environments, install dependencies, and run scripts.
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See how to installReview the instructions the agent will receive before you install.
Assume uv is already available on PATH.
pyproject.toml exists: use project workflow (uv sync, uv run)requirements.txt exists: use pip workflow (uv venv, uv pip install -r ..., .venv/bin/python ...)From the repo root (where pyproject.toml is):
uv syncNotes:
.venv and installs deps there.Always run within the project environment:
uv run -- python <script.py> [args...]uv run -- python -m <module> [args...]Notes:
uv run executes inside the project environment and ensures it is up-to-date.From the repo root:
uv venv # creates .venv by defaultuv pip install -r requirements.txtRun using the venv interpreter directly (no activation required):
.venv/bin/python <script.py> [args...].venv/bin/python -m <module> [args...](uv will also automatically find and use the default .venv in subsequent invocations when you use uv pip ... commands.)
test -x .venv/bin/pythonuv pip list (verify packages installed)No reviews yet. Tell others what you thought.
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Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
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AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.
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Redact text from PDF documents for blind review anonymization
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Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.
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Analyze failed GitHub Action jobs for a pull request.
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Use when extracting plan-view architectural geometry from DXF files with semantic CAD layers, especially when outputs must normalize rooms, doors, fixtures, clearances, and grab bars into machine-checkable JSON.
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