project-characteristics — community project-characteristics, core_node, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Python Development Agents needing to understand pycore framework conventions and development standards. project-characteristics is a set of guidelines and requirements for developing and modifying pycore code, ensuring consistency and best practices.

Features

Utilizes pycore_module_caller.py as the root entry point
Leverages ServiceLauncher for configuring and starting services
Interacts with THREAD_BUS for efficient communication
Supports modification of tray, startup, and main window behavior
Integrates with build_launcher_config() for streamlined configuration
accountbelongstox accountbelongstox
[0]
[0]
Updated: 3/7/2026

Agent Capability Analysis

The project-characteristics skill by accountbelongstox is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Python Development Agents needing to understand pycore framework conventions and development standards.

Core Value

Empowers agents to navigate and modify pycore_module_caller, callmodule, and native_ui projects with confidence, utilizing pycore's framework and development conventions, including THREAD_BUS, launcher, and config services.

Capabilities Granted for project-characteristics

Developing and modifying pycore_module_caller code
Adding services to pycore projects
Debugging THREAD_BUS and launcher configurations

! Prerequisites & Limits

  • Specific to pycore projects only
  • Requires knowledge of pycore framework and development conventions
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

project-characteristics

Install project-characteristics, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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pycore 项目特性(框架与约定)

本 skill 描述的是 pycore 的要求与约定(项目特性即 pycore 的框架与开发规范),不涉及项目其他部分。

When to Use

  • Use this skill when developing or modifying code under pycore (pycore_module_caller, callmodule, pylauncher, pythreadpool, native_ui).
  • Use when adding services, changing tray/startup/main window behavior, or touching THREAD_BUS / launcher / config.

Instructions

入口与三层职责

  • 根入口pycore_module_caller.pybuild_launcher_config()ServiceLauncher(config).start()register_event_handlers();主循环等 THREAD_BUS.is_shutdown_requested()launcher.stop()
  • callmodule:只做配置与事件注册(config.build_launcher_configevent_handlers.register_event_handlers),不启动线程。
  • pylauncher:单例检测 + 按 config.services 调用 pythreadpool 的 starter;不实现具体服务逻辑。
  • pythreadpoolSERVICE_STARTERS[name](config) 启动各服务线程(heartbeat / rpc_v2 / ui / tray),并注册 register_shutdown_handler;关机时发 tray.request_stop{app_id}.close 等事件。

THREAD_BUS 通信

  • 线程间不直接调用,全部通过 THREAD_BUS:trigger_eventregister_event_handlersignal/wait_signalset_thread_stateregister_shutdown_handlerrequest_shutdown
  • 事件命名带命名空间(如 ui.tray.showapp.closetray.request_stop);需要时 event_data 带 source
  • 关机按 THREAD_REGISTRYshutdown_priority 逆序执行(数字小的先关)。

Native UI 结构(step0–step10)

  • 对外只通过 pycore.pyutils.native_ui__init__.py 暴露;内部按 step 绝对引用。
  • step0_i18n:国际化。step1_config:NativeUIConfig、TrayConfig。step2_port_url:端口与 URL。step3_launcherlaunch_native_applauncher_with_startupstep4_startup:TkinterStartupThread(唯一 tk 引导窗)。step5_main_ui:PySide6 主窗、WebView、托盘。step6_tray:pystray、AppIndicator(Ubuntu)。step7_managers:thread_bus_manager、shutdown_manager 等。step9_frontend:前端进程。

启动顺序(含 UI 时)

  1. 先起 TkinterStartupThread(tk 引导),发 TkinterStartup_ready
  2. UI 线程内 wait_signal('TkinterStartup_ready') 后再 get_third_package_pyside6(),再创建 PySide6Framework 与主窗口。
  3. 引导结束后可发 STARTUP_REQUEST_CLOSE 关 tk;若启用托盘则进 tray(pystray 或 AppIndicator)。
  4. 关机:request_shutdown → 执行 shutdown handler(如 stop_ui 发 {app_id}.close,stop_tray 发 tray.request_stop)。

平台与托盘

  • platform_adapter:根据 OS、X11、XDG_CURRENT_DESKTOP 给出 recommended_tray_backend(APPINDICATOR / PYSTRAY / PYSIDE6 / NONE)。
  • Ubuntu/GNOME 桌面优先用 AppIndicator,不可用时退回 pystray。Linux 无 X11 则无托盘。
  • start_tray()_run_tray_mode() 根据推荐后端选择 AppIndicatorSystemTrayThread 或 TkinterSystemTrayThread;菜单用 build_appindicator_menu_items_build_tray_menu_items 从 TrayConfig 生成。

关键文件

  • 配置:pycore/callmodule/config.py。事件:pycore/callmodule/event_handlers.py
  • 启动器:pycore/pylauncher/launcher.py。starter 与 registry:pycore/pythreadpool/starters.pyregistry.py
  • THREAD_BUS:pycore/pyfoundations/thread_bus.py。Native UI 入口:pycore/pyutils/native_ui/step3_launcher/launch_native_app.py
  • tk 引导:pycore/pyutils/native_ui/step4_startup/startup_window_thread.py。主窗:step5_main_ui/pyside6/framework.py。平台:pycore/pyutils/native_ui/platform_adapter.py

开发约定

  • 新增服务:在 registry.py 的 THREAD_REGISTRY 加条目并设 shutdown_priority,在 starters.py 中实现 starter 并注册到 SERVICE_STARTERS;关机通过 THREAD_BUS 事件或 shutdown handler,不直接调其他线程。
  • 修改托盘/引导/主窗:保持「tk 先于 PySide6」「THREAD_BUS 关窗/关托盘」;Ubuntu 桌面优先 AppIndicator,失败再 pystray。

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is project-characteristics?

Perfect for Python Development Agents needing to understand pycore framework conventions and development standards. project-characteristics is a set of guidelines and requirements for developing and modifying pycore code, ensuring consistency and best practices.

How do I install project-characteristics?

Run the command: npx killer-skills add accountbelongstox/core_node/project-characteristics. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for project-characteristics?

Key use cases include: Developing and modifying pycore_module_caller code, Adding services to pycore projects, Debugging THREAD_BUS and launcher configurations.

Which IDEs are compatible with project-characteristics?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for project-characteristics?

Specific to pycore projects only. Requires knowledge of pycore framework and development conventions.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add accountbelongstox/core_node/project-characteristics. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use project-characteristics immediately in the current project.

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