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.