uipath-automation-discovery

Mines workplace systems to identify and prioritize UiPath automation opportunities with effort estimates.

9|6|Updated Aug 25, 2017
One-click install
npx skills add https://github.com/sergueik/springboot_study --skill uipath-automation-discovery-sergueik
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uipath-automation-discovery
Source: https://github.com/sergueik/springboot_study/tree/main/basic-uipath-skills/.github/skills/uipath-automation-discovery
Command: npx skills add https://github.com/sergueik/springboot_study --skill uipath-automation-discovery-sergueik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve? Organizations struggle to know which manual processes are worth automating. This Skill investigates how employees actually work across Slack, email, wikis, CRM, HRIS, and ERP systems, then produces an evidence-backed, prioritized backlog of UiPath automation opportunities with build-effort sizing. ## Core Features & Use Cases - Behavioral Mining: Searches messaging channels, email patterns, CRM workflows, wikis, issue trackers, and HRIS/ERP systems for repetitive manual work, approval bottlenecks, and single points of failure. - 4-Tier Prioritized Report: Produces a structured report ranking opportunities from replicable proven models (Tier 1) through behavioral automations, operational gaps, and strategic initiatives (Tier 4), each with cited evidence. - Build-Effort Estimation: Sizes each opportunity via complexity band to pack-hours mapping with redeploy factors, rebuild discounts, and confidence-tiered contingency, using user-supplied UiPath complexity matrices. - Use Case: An automation COE lead asks "what should we automate?" — the Skill runs intake, mines verified systems, and delivers a UiPath-ready backlog mapped to implementation paths (RPA, Maestro Flow, agents). ## Quick Start Run an automation discovery across our Slack, Jira, and Salesforce to find the top manual processes we should automate with UiPath.

Frequently Asked Questions about uipath-automation-discovery

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

FAQPage Schema
How do I find automation opportunities in my organization?

Run an automation discovery that mines messaging channels, email, CRM, wikis, and issue trackers for repetitive manual work and approval bottlenecks. This Skill produces a 4-tier prioritized report where every opportunity cites a specific source, quantitative metric, and affected team.

How to estimate UiPath automation build effort in pack-hours?

Classify each opportunity into a complexity band using the Core RPA or Agentic complexity matrix, then map the band to pack-hours from the catalogue. The Skill requires you to supply these matrices and never fabricates hours; it adds redeploy factors, rebuild discounts, and confidence-tiered contingency.

What data sources does automation discovery analyze?

It mines Slack or Teams help channels, email patterns, CRM systems like Salesforce, wikis like Confluence, issue trackers like Jira, HRIS, ERP/finance systems, and monitoring tools. Each source is verified with a read-only access test before mining begins.

Does automation discovery handle employee privacy and GDPR?

Yes, it confirms authorization before mining, excludes private channels and special-category HR data by default, and pseudonymizes single points of failure unless naming is explicitly authorized. Jurisdiction constraints like GDPR or works council rules are applied with the stricter rule winning.

What happens after the automation discovery report is generated?

Each Tier 1-2 opportunity is mapped to a UiPath implementation path: uipath-rpa for desktop automation, uipath-maestro-flow for orchestration, uipath-agents for reasoning tasks, or uipath-human-in-the-loop for approval gates. Complex opportunities hand off to uipath-planner for solution design.