अपने एजेंट के लिए सही क्षमता खोजें।
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.
Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and real-time data streaming, implementing multi-page applications, or developing enterprise dashboards with templates and theming.
Initializes Nix flake.nix files for projects using flake-parts, automatically detecting programming languages (OpenSCAD, Python) and configuring appropriate development shells. Activates when user asks to create, initialize, or add a flake.nix, set up Nix development environment, or add direnv support.
Manage scientific Python dependencies and environments using pixi package manager with unified conda-forge and PyPI support, task automation, and reproducible lockfiles.
Create and publish distributable scientific Python packages following Scientific Python community best practices. Covers pyproject.toml, src layout, Hatchling, metadata, CLI entry points, and PyPI publishing.
Generates API documentation from code including OpenAPI specs, JSDoc, and Python docstrings. Use when documenting APIs, REST endpoints, or library functions.
Build with MPP (Machine Payments Protocol) - the open protocol for machine-to-machine payments over HTTP 402. Use when developing paid APIs, payment-gated content, AI agent payment flows, MCP tool payments, pay-per-token streaming, or any service using HTTP 402 Payment Required. Covers the mppx TypeScript SDK with Hono/Express/Next.js/Elysia middleware, pympp Python SDK, and mpp Rust SDK. Supports Tempo stablecoins, Stripe cards, Lightning Bitcoin, and custom payment methods. Includes charge (one-time) and session (streaming pay-as-you-go) intents. Make sure to use this skill whenever the user mentions mpp, mppx, machine payments, HTTP 402 payments, Tempo payments, payment channels, pay-per-token, paid API endpoints, or payment-gated services.
Generates Python scripts using matplotlib for data visualization with Japanese font support (Noto Sans JP) and specific naming conventions. Use when requested to create diagrams, charts, or plots that require Japanese text or follow a specific filename pattern (foo-diagram.py -> foo-diagram.png).
Core Dockerfile best practices including multi-stage builds, layer caching, security hardening, base image selection, and language-specific patterns for Python, Node, Rust, R, Go, Julia, and C/C++.
Cut a release candidate for both worca-cc (Python) and @worca/ui (npm). Triggers on "release candidate", "cut an RC", "bump RC", "new RC", "worca-rc", or any request to create a release candidate. No arguments required — versions are auto-detected and incremented.
Upgrade all pyatlan Python dependencies and GitHub Actions to their latest compatible versions
This skill should be used when the user asks about UV (Python package manager), needs to set up Python virtual environments, install/manage Python CLI tools, run MCP servers with UVX, decide between uv tool install vs uvx, configure VS Code or IDEs for MCP server integration, migrate from pip/pipx/poetry to UV, or troubleshoot UV-related issues. Use when queries mention UV, UVX, Python package management, virtual environments, MCP servers, tool installation, or Python version management.
Opinionated Python development setup with uv + ty + ruff + pytest + just. Use when creating new Python projects, setting up pyproject.toml, configuring linting, type checking, testing, or build tooling. Triggers on "python project", "uv init", "pyproject.toml", "ruff config", "ty check", "pytest setup", "justfile", "python linting", "python formatting", "type checking python".
Control systems analysis and PID design with python-control and scipy.signal: transfer functions, Bode/Nyquist plots, root locus, stability margins, and step-response simulation for SISO and discrete-time systems.
This skill should be used when organizing and structuring Personal Knowledge Management (PKM) vaults, particularly Obsidian vaults using the Linking Your Thinking (LYT) methodology. Use this skill when the user asks to analyze notes, create MOCs (Maps of Content), find related notes, organize folders, generate Index.md files, or improve vault structure. This skill provides Python scripts for vault analysis, link finding, and MOC generation, along with LYT methodology references and templates.
Guide for running inline Python scripts with uv
When python, flask, or jinja are being written or edited.
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
