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perfectuser21
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repo-lead

Coordinate AI script and LLM employees to achieve OKRs via the Brain API.

Updated Feb 25, 2026
Search Tags:#workflow automation#ai agents#reporting#task assignment#department lead#okr management
One-click install
npx skills add https://github.com/perfectuser21/cecelia --skill repo-lead
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repo-lead
Source: https://github.com/perfectuser21/cecelia/tree/main/packages/workflows/agents/repo-lead
Command: npx skills add https://github.com/perfectuser21/cecelia --skill repo-lead

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as a department lead, automating the operational workflow of managing AI script and LLM employees within a specific repository, ensuring alignment with OKRs and efficient task execution.

Core Features & Use Cases

  • Automated Department Operations: Manages AI employees through a heartbeat system, analyzing progress, identifying bottlenecks, and assigning tasks.
  • OKR Alignment: Tracks Key Results (KRs) and ensures progress towards departmental goals.
  • Task Management: Creates tasks for LLM employees via the Brain queue and manages script employee execution with device locks.
  • Reporting: Generates substantive daily reports to Cecelia, detailing progress, blockers, and proposals.
  • Use Case: A software engineering department lead uses this Skill to monitor the progress of automated testing (KR1) and new feature development (KR2), assigning bugs to script employees and complex feature requests to LLM employees via the Brain queue.

Quick Start

Initiate the department's operational cycle by running the repo-lead skill with the heartbeat command.

Frequently Asked Questions about repo-lead

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

FAQPage Schema
How do I automate task assignment for AI agents in a software repository?▼

Automate task assignment for AI agents by using a department lead Skill to coordinate script and LLM employees, routing work through a Brain API queue to align execution with OKRs.

How does OKR management work for automated AI script and LLM employees?▼

OKR management for AI employees works by tracking Key Results and analyzing progress via a heartbeat system, ensuring automated script execution and LLM tasks align with departmental goals.

What is the best way to track progress and identify bottlenecks in AI agent workflows?▼

The best way to track progress and identify bottlenecks in AI agent workflows is using an automated department lead system that analyzes agent heartbeats and reports blockers to a central orchestrator.

Can I generate daily operational reports for AI employees working in a repository?▼

You can generate daily operational reports for AI employees by running a department lead Skill that details task progress, blockers, and proposals to a central orchestrator like Cecelia.

Do I need a Brain API to manage device locks and task queues for script employees?▼

Yes, you need a Brain API to manage device locks and task queues, as the Skill requires Brain API interaction to queue tasks for LLM employees and lock devices for script execution.

When should I not use a single automated lead for AI agent workflow automation?▼

You should not use automated lead workflow automation if your repository lacks a Brain API or central orchestrator, as the system depends on these integrations for task queuing and daily reporting.

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