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shekerkamma
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resume-analysis

Resume interrupted analysis pipelines from persisted state without re-running completed steps.

Updated May 22, 2026
Search Tags:#workflow orchestration#data analytics#resume analysis#state migration#pipeline recovery#DAG execution#interrupted pipeline
One-click install
npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill resume-analysis-shekerkamma
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resume-analysis
Source: https://github.com/shekerkamma/peopletech-marketplace/tree/main/plugins/ai-analyst/skills/ai-analyst/resume-analysis
Command: npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill resume-analysis-shekerkamma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When an analysis pipeline is interrupted by context limits, connection drops, or user breaks, all completed work is lost and you have to restart the entire workflow from scratch, wasting hours of compute and effort.

Core Features & Use Cases

  • State-Aware Resumption: Reads persisted pipeline state to identify completed agents and pick up exactly where you left off.
  • Legacy State Support: Automatically migrates old V1 pipeline state to the current V2 format for backward compatibility.
  • Artifact Fallback: Reconstructs pipeline state from existing output artifacts if no state file is found. Use case: If you were running a customer churn root-cause analysis that got cut off after the data exploration phase, this skill resumes the pipeline without re-running the already completed data inventory and hypothesis steps.

Quick Start

Invoke the /resume-analysis command to automatically resume your most recent interrupted analysis pipeline, or provide a specific run ID to continue an older workflow.

Frequently Asked Questions about resume-analysis

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

FAQPage Schema
How do I resume an interrupted data analysis pipeline without re-running completed steps?▼

To resume an interrupted data analysis pipeline, read the persisted pipeline state and continue execution from the next ready dependent agents. This state-aware resumption prevents re-executing completed steps, saving compute time after context limits or connection drops.

What happens if my pipeline state file is missing after an interrupted workflow?▼

If your pipeline state file is missing after an interrupted workflow, artifact fallback reconstructs the pipeline state by scanning existing output artifacts. This allows partial workflow recovery without state files, ensuring completed analysis agents are skipped.

Does this pipeline recovery approach support legacy V1 state formats?▼

Yes, pipeline recovery supports legacy V1 state formats. It automatically migrates old V1 pipeline state to the current V2 format for backward compatibility, ensuring older interrupted analysis workflows resume correctly using DAG-based dependency resolution.

How does DAG execution dependency resolution work when resuming paused analysis workflows?▼

DAG execution dependency resolution works during pipeline recovery by reading persisted state to identify completed agents and trigger the next ready dependent agents. This targeted execution skips finished nodes and continues the analysis workflow seamlessly.

When do I need state migration for data analytics workflow orchestration?▼

You need state migration for data analytics workflow orchestration when resuming older interrupted pipelines with outdated formats. It updates V1 pipeline state to V2 format, maintaining backward compatibility while applying DAG-based dependency resolution for partial workflow recovery.

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