Secretary

Orchestrate AI sub-agents, worktrees, and daily context for Claude Code organizations.

Updated Dec 29, 2025
One-click install
npx skills add https://github.com/shabaraba/shabaraba-cc-plugins --skill secretary
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Secretary
Source: https://github.com/shabaraba/shabaraba-cc-plugins/tree/main/packages/claude-org/skills/secretary
Command: npx skills add https://github.com/shabaraba/shabaraba-cc-plugins --skill secretary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill coordinates the Claude Code organization by managing AI sub-agents, worktrees, and daily context to keep operations flowing smoothly.

Core Features & Use Cases

  • Async agent orchestration and lifecycle tracking across multiple teams (product/engineering/QA/marketing)
  • Worktree creation, isolation, and branch management for concurrent development
  • Daily logs, context propagation, and handoff document generation for seamless handoffs

Quick Start

To start using Secretary, initialize a new worktree and context, then launch a task. bash ${CLAUDE_PLUGIN_ROOT}/scripts/work-manager.sh create-worktree "<branch>" bash ${CLAUDE_PLUGIN_ROOT}/scripts/work-manager.sh init-context "<branch>" bash ${CLAUDE_PLUGIN_ROOT}/scripts/work-manager.sh add-task ...

Frequently Asked Questions about Secretary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate AI sub-agents across multiple teams like product and engineering?▼

AI sub-agents are orchestrated by coordinating task launches, worktrees, and daily context across product, engineering, QA, and marketing streams. This skill applies deterministic task management through scripted work-manager operations and handoff documents to ensure serialized, traceable workflows.

What's the best way to manage isolated worktrees for concurrent AI agent development?▼

Isolated worktrees for concurrent AI agent development are managed by creating branch workspaces through a work-manager script. The script initializes the worktree, sets up the context file, and adds tasks to ensure deterministic task tracking and isolation.

How do I generate daily logs and handoff documents for AI agent context propagation?▼

Daily logs and handoff documents for AI agent context propagation are generated automatically to track the lifecycle of operations across teams. This ensures seamless daily-log handoffs and maintains context across product, engineering, QA, and marketing streams.

Can I use scripted task management to serialize workflows across multiple AI agents?▼

Yes, scripted task management serializes workflows across multiple AI agents by applying deterministic work-manager operations. It uses context files and handoff documents to ensure every task is traceable and operations flow sequentially across all teams.

When do I need CEO-led orchestration for AI agent branches and daily logs?▼

CEO-led orchestration for AI agent branches and daily logs is needed when coordinating multiple sub-agents across distinct team streams like product, engineering, QA, and marketing. It ensures traceable, serialized workflows through worktree creation and context handoffs.

Does async agent orchestration work without external dependencies?▼

Yes, async agent orchestration works without external dependencies by relying on internal scripts and context files. The skill uses a work-manager script to handle branch workspaces, task additions, and handoff document generation deterministically.