workflow-runner

Execute agency-orchestrator YAML workflows within AI tools.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/beyondwen/track-record-new --skill workflow-runner-beyondwen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-runner
Source: https://github.com/beyondwen/track-record-new/tree/main/.gemini/skills/workflow-runner
Command: npx skills add https://github.com/beyondwen/track-record-new --skill workflow-runner-beyondwen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

无需外部 API key 即可在 AI 工具内直接执行 agency-orchestrator YAML 工作流,提升多角色协作与自动化效率。

Core Features & Use Cases

  • 在当前会话中解析并执行 YAML 工作流,充当执行引擎。
  • 支持多角色协作任务的端到端编排与结果聚合。
  • 提供清晰的执行阶段、错误处理和上下文持久化能力。

Quick Start

在 Claude Code / OpenClaw / Cursor 中加载一个 YAML 工作流文件并直接在当前会话中执行。

Frequently Asked Questions about workflow-runner

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

FAQPage Schema
How do I execute YAML workflows inside an AI tool without API keys?

You can execute YAML workflows without API keys by loading the agency-orchestrator file into your current session. The active LLM directly acts as the execution engine to parse and run the multi-role tasks.

Can I run multi-role collaboration tasks directly in my current session?

Yes, multi-role collaboration tasks run directly in your current session. The workflow engine handles role-based execution and aggregates the results across different stages without external dependencies.

How does the execution engine handle errors in YAML workflow orchestration?

The execution engine handles errors by providing clear execution stages and context persistence. This ensures that multi-role orchestration failures are caught and managed within the active session.

Do I need external dependencies to run agency-orchestrator YAML files?

No external dependencies are required to run agency-orchestrator YAML files. The tool operates without API keys for the current session by using the active LLM to process the workflow directly.

What is the best way to parse and aggregate multi-role YAML workflows?

The best way to parse and aggregate multi-role YAML workflows is to use the active LLM as an execution engine. It triggers when a YAML file is provided, handling end-to-end orchestration and result aggregation directly.

Which AI tools support running YAML workflow files without external keys?

You can run YAML workflow files without external keys in AI tools like Claude Code, OpenClaw, and Cursor. Load the file into the active session to execute multi-role orchestration directly.