astral-uv
Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, r...
Discover tools scripting skills, compare source repositories and read the instructions for each workflow.
Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, r...
Expert guidance for creating, configuring, and using Opencode hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding ho...
Coordinate simultaneous agent execution for independent tasks. Use when multiple tasks can run in parallel without dependencies.
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
A Python CLI tool
Create distinctive, production-grade frontend interfaces with Adaptive Complexity. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that lever...
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Generate command centre from onboarding answers. Use after completing onboarding to create CLAUDE.md, skills, people files, and seed memory graph. Invoke with target directory path.
Hybrid Agentic Workflows - Build production-ready multi-agent systems with Microsoft Agent Framework (client-side) and Azure AI Foundry Agent Service (cloud-managed). Supports MCP integration and multi-agent or...
Quick reference for frequently performed development tasks like building, testing, and debugging
This skill should be used when the user asks to "создать слэш-команду", "добавить команду", "написать пользовательскую команду", "определить аргументы команды", "использовать frontmatter команды", "организовать...
Designs atomic specs from ambiguous requests when you need a modular plan; use it to define scope, architecture, and inputs. Output is a docs/specs/-SPEC.md with user story, flow diagram, file manifest, env int...
Create, configure, and manage Claude Code hooks for workflow automation, validation, and security. Guides hook implementation, configuration patterns, and best practices.
Browser automation with Selenium WebDriver for Python. (project)
Workflow modes and agent behaviors for EgenSkriven task management. Use when configuring strict/light/minimal workflow modes, understanding autonomous/collaborative/supervised agent behaviors, or using the prim...
Guidelines and patterns for writing bash/shell scripts. Use when creating new shell scripts, bin scripts, or bash utilities. Includes script templates, header comments, error handling, and common patterns.
Dispatch tasks to remote VMs for parallel execution or specialized work.
Coordinator playbook for running multi‑repo, multi‑VM work in parallel without relying on humans copy/pasting long checklists.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination,...
Game development orchestrator. Routes to platform-specific skills based on project needs.
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.
Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.