edge-pipeline-orchestrator

Orchestrate a multi-stage edge research pipeline from detection to export.

1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-pipeline-orchestrator-darkounus90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: edge-pipeline-orchestrator
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/edge-pipeline-orchestrator
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-pipeline-orchestrator-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires auto_detect, hints, concepts, drafts, review, export, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the orchestration of a full edge research pipeline, from candidate detection through strategy design, review, revision, and export, facilitating multi-stage edge research workflows.

Core Features & Use Cases

  • End-to-End Pipeline: Manages a comprehensive edge research pipeline, including candidate detection, hint extraction, concept synthesis, strategy drafting, review, and export.
  • Review-Revision Loop: Supports a feedback loop for reviewing and revising strategy drafts, ensuring quality control and refinement.
  • CLI Integration: Offers command-line integration for running the pipeline, allowing users to start, resume, review, and dry-run the pipeline with ease.

Quick Start

To orchestrate an edge research pipeline, run the following command:

python3 scripts/orchestrate_edge_pipeline.py \
  --tickets-dir path/to/tickets/ \
  --output-dir reports/edge_pipeline/

Frequently Asked Questions about edge-pipeline-orchestrator

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

FAQPage Schema
How do I automate an edge computing research pipeline from detection to strategy export?

To automate an edge computing research pipeline, this Skill orchestrates multi-stage workflows from candidate detection and hint extraction through concept synthesis, strategy drafting, review, and final export.

Can I resume and review strategy drafts in a pipeline orchestration workflow?

Yes, pipeline orchestration workflows support a review-revision feedback loop and CLI integration, allowing you to start, resume, review, and dry-run strategy drafts for quality refinement.

What is the best way to coordinate complex research workflows for edge computing strategy design?

The best way to coordinate complex edge computing research workflows is using an orchestration pipeline that synthesizes extracted concepts into strategy drafts and manages the end-to-end research process.

Do I need Python 3 to run edge research pipeline orchestration scripts?

Yes, you need Python 3 installed to execute the orchestration scripts required for running the edge research pipeline, managing tickets, and generating output reports.

How does the review loop work during edge research strategy design?

The review loop works by passing drafted strategies through a revision stage within the pipeline, ensuring quality control and iterative refinement before the final export phase.