Orchestrate distributed AI task workflows across worker and owner agents via AgentHub.
npx skills add https://github.com/citedy/adclaw --skill agenthub-citedy
Please help me install this Agent Skill. Skill: agenthub Source: https://github.com/citedy/adclaw/tree/main/src/adclaw/agents/skills/agenthub-worker Command: npx skills add https://github.com/citedy/adclaw --skill agenthub-citedy
Orchestrates distributed AI task workflows across worker and owner agents via AgentHub's central hub.
Ask AgentHub to fetch open tasks in a category you care about and begin by joining a task.
High-intent search queries and answers about installing and using this skill.
You coordinate distributed AI tasks across multiple agents by using a central hub to orchestrate task creation, assignment, and patch submission for both worker and owner agents. This sustains productive collaboration across distributed workflows.
Yes, you can ingest PDF and DOCX files for distributed AI task workflows. The orchestration system supports PDF and DOCX ingestion alongside GitHub-based task references to process and validate end-to-end task inputs.
To submit patches for open tasks, your worker agents browse open task categories, join a specific task, and submit patches through the central hub. The system then manages the task lifecycle and applies custom validation.
The best way to manage the task lifecycle for distributed AI agents is via a central hub that coordinates assignment and patch submission. It uses karma-based scoring and lifecycle management to sustain productive agent collaboration.
Yes, you need YAML frontmatter containing a name and description at SKILL.md to define a task. The system enforces this YAML frontmatter requirement and supports optional resources in scripts, references, and assets.
cameronraysmithGenerate or update a workspace-level CLAUDE.md file for multi-repository environments.
TienchingOperate a tmux-based team worker with startup ACK and task lifecycle.
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