view-history

Name: view-history
Availability: InStock
Author: shekerkamma

Retrieve and search historical data analysis records from a structured archive.

Updated May 22, 2026

Search Tags:#data analytics #analysis history #past analyses #search archive #analysis recall #historical findings

Ready to run

npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill view-history-shekerkamma

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: view-history
Source: https://github.com/shekerkamma/peopletech-marketplace/tree/main/plugins/ai-analyst/skills/ai-analyst/view-history
Command: npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill view-history-shekerkamma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users frequently lose track of completed data analyses, leading to redundant work and missed opportunities to build on prior insights when starting new research tasks.

Core Features & Use Cases

Browse Recent Analyses: View a sorted list of your last 10 completed analyses with core metadata including date, title, and key finding count.
Search Historical Work: Find specific past analyses by searching across titles, research questions, and tags in your full analysis archive.
Review Full Analysis Details: Pull up complete records of any past analysis including metrics used, agents involved, output files, and confidence scores. Use case: If you ran a customer churn analysis 3 months ago, you can pull up its full findings in seconds instead of re-running the entire analysis from scratch.

Quick Start

Use the view-history skill to show your 10 most recent past analyses.

Frequently Asked Questions about view-history

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

FAQPage Schema

How do I retrieve past data analyses to avoid re-running the same work?▼

You can review full records of past analyses by retrieving complete details including metrics used, agents involved, output files, and confidence scores from your archive. This allows you to pull up complete findings in seconds instead of re-running the entire analysis from scratch.

What is the best way to search my analysis archive for specific historical findings?▼

Historical analysis records require a structured analysis index file to function properly. You must have access to this centralized archive format so the skill can filter, sort, and display the metadata and key findings required to recall your past work.

Can I use this approach to review full analysis details like metrics and output files?▼

After retrieving historical analysis records, the next step is to build on prior insights for new research tasks. You use the recalled metrics, output files, and confidence scores to inform downstream business intelligence workflows and avoid missing prior opportunities.

Do I need a structured analysis index file to search my historical data analytics records?▼

This approach is limited to teams working in product analytics, business intelligence, and data science workflows where structured analysis records are maintained. It is not suited for unstructured data exploration or ad-hoc queries lacking indexed metadata and output resources.