Loading...
Loading...
Found 1,224 Skills
Alibaba Cloud Function Compute (FC 3.0) skill for installing and using Serverless Devs to create, deploy, invoke, and remove a Python function. Use when users need CLI-based FC quick start or Serverless Devs setup guidance.
Executes Python scripts, tests, or benchmarks on a provisioned remote cluster (GPU or TPU) using SkyPilot. Use this skill when the user asks to run code on GPU, TPU, or any "remote" cluster.
Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
WOLF v6 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 7-cron architecture with Emerging Movers scanner (90s, FIRST_JUMP + IMMEDIATE_MOVER), DSL v4 trailing stops (combined runner every 3min, 4-tier at 5/10/15/20% ROE), SM flip detector (5min), watchdog (5min), portfolio updates (15min), opportunity scanner v6 (15min, BTC macro + hourly trend + disqualifiers), and health checks (10min). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Minimum 7x leverage required. Requires Senpi MCP connection, python3, mcporter CLI, and OpenClaw cron system.
Bootstrap Python MCP server projects and workspaces on macOS using uv and FastMCP with consistent defaults. Use when creating a new MCP server from scratch, scaffolding a single uv MCP project, scaffolding a uv workspace with package/service members, initializing pytest+ruff+mypy defaults, creating README.md, initializing git, running initial validation checks, or starting from OpenAPI/FastAPI with MCP mapping guidance.
Generates, explains, and tests regular expression patterns. Builds patterns from positive and negative examples, breaks down each component with a readable explanation table, generates edge-case test suites, and provides usage examples in Python and JavaScript. Triggers on: "regex for", "regular expression", "pattern for", "match strings like", "extract from", "build regex", "create pattern", "explain this regex", "what does this regex do", "regex to match", "parse with regex", "validate format". Use this skill when building, explaining, or testing a regular expression pattern.
Best practices for developing tools, dashboards and interactive data apps with HoloViz Panel. Create reactive, component-based UIs with widgets, layouts, templates, and real-time updates. Use when developing interactive data exploration tools, dashboards, data apps, or any interactive Python web application. Supports file uploads, streaming data, multi-page apps, and integration with HoloViews, hvPlot, Pandas, Polars, DuckDB and the rest of the HoloViz and PyData ecosystems.
Guide for using uv, the Python package and project manager. Use this when working with Python projects, scripts, packages, or tools.
Guides Python SDK development in Apache Beam, including environment setup, testing, building, and running pipelines. Use when working with Python code in sdks/python/.
Core Python development concepts, idioms, best practices, and language features. Covers Python 3.10+ features, type hints, async/await, and Pythonic patterns. For running scripts, see uv-run. For project setup, see uv-project-management. Use when user mentions Python, type hints, async Python, decorators, context managers, or writing Pythonic code.
Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.