بنقرة واحدة
superclaude-commands
Slash-command system for AI agent orchestration — /plan, /execute, /review, /deploy
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Slash-command system for AI agent orchestration — /plan, /execute, /review, /deploy
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
Initiative-level portfolio management with dependency tracking and milestone coordination
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time
| name | superclaude-commands |
| description | Slash-command system for AI agent orchestration — /plan, /execute, /review, /deploy |
Provides a slash-command system (agents/commands.py) for AI agent orchestration.
Commands can be registered, enabled/disabled, role-gated, and chained with pre/post hooks.
from agents.commands import CommandDispatcher, Command, CommandCategory
d = CommandDispatcher()
d.register(Command(
name="deploy", description="Deploy the app",
handler=lambda args: "deploying...",
roles=["admin"],
category=CommandCategory.ADMIN,
))
result = d.dispatch("/deploy staging", user_roles=["admin"])
python -m pytest tests/test_commands.py -v