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Found 1,811 Skills
Principal backend engineering intelligence for Python services and data systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost.
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
Jira API operations via Python CLI scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs (https://jira.*/browse/*, https://*.atlassian.net/browse/*), issue keys (PROJ-123), or asks about Jira issues. Use when Claude needs to: (1) Search issues with JQL queries, (2) Get or update issue details, (3) Create new issues, (4) Transition issue status (e.g., "To Do" → "Done"), (5) Add comments, (6) Log work time (worklogs), (7) List sprints and sprint issues, (8) List boards and board issues, (9) Create or list issue links, (10) Discover available Jira fields, (11) Get user profile information, (12) Download attachments from issues. If authentication fails, offer interactive credential setup via jira-setup.py. Supports both Jira Cloud and Server/Data Center with automatic auth detection.
Guide for building MCP (Model Context Protocol) servers that integrate external APIs/services with LLMs. Covers Python (FastMCP) and TypeScript (MCP SDK) implementations.
Expert guide for building command-line interfaces with Node.js (Commander, Inquirer, Ora) or Python (Click, Typer, Rich). Use when creating CLI tools, terminal UX, argument parsing, or interactive prompts.
Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: "IDOR", "access control", "authorization", "Django permissions", "object permissions", "tenant isolation", "broken access".
Initialize a standardized Python project, including dependency management, code style checking, testing framework, version management, etc. This skill is triggered when users need to create a new Python project.
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SIGINT in asyncio contexts, or managing task cleanup when using semaphores for concurrency limiting. Use when tasks involve asyncio.gather, CancelledError handling, or cleanup of tasks that haven't started execution.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients. Use when the user wants to create an API client for a website, automate web interactions, or understand undocumented APIs. Activate on tasks mentioning "reverse engineer", "API client", "HAR file", "capture traffic", or "automate website".
Enforce Pythonic standards using Black, Isort, and Flake8. Use to ensure consistency across large Python codebases and team environments.
AlgoKit Utils library for interacting with the Algorand blockchain from TypeScript or Python applications. Use when connecting to Algorand networks (LocalNet, TestNet, MainNet), sending payments or transferring assets, creating and managing accounts, deploying or interacting with smart contracts from client code, or composing transaction groups. NOT for writing smart contract code (use build-smart-contracts skill). Strong triggers include "How do I connect to Algorand?", "send a payment transaction", "create an account", "deploy my contract", "get an AlgorandClient", "AlgorandClient.fromEnvironment".
Execute apply production-ready Supabase SDK patterns for TypeScript and Python. Use when implementing Supabase integrations, refactoring SDK usage, or establishing team coding standards for Supabase. Trigger with phrases like "supabase SDK patterns", "supabase best practices", "supabase code patterns", "idiomatic supabase".