skill-suggestor

Name: skill-suggestor
Availability: InStock
Author: jac007x

Identify repeating workflows and generate structured Skill Proposals from session data.

Updated Mar 18, 2026

Search Tags:#automation #meta-skill #proposal #pattern-detection #workflow-capture #intake-variables #skill-suggestor

Ready to run

npx skills add https://github.com/jac007x/CheatCodes-Skill-Library --skill skill-suggestor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-suggestor
Source: https://github.com/jac007x/CheatCodes-Skill-Library/tree/main/skill-suggestor
Command: npx skills add https://github.com/jac007x/CheatCodes-Skill-Library --skill skill-suggestor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects when users repeatedly perform multi-step workflows and generates structured Skill Proposals to convert them into reusable skills.

Core Features & Use Cases

Passive observation during sessions to surface repetition, tedious tasks, and cross-session patterns without interrupting work.
On-demand interviews with five questions to extract the pattern and produce a Skill Proposal.
Private signals and proposals workflow, ready for skill-universalizer.
Deployment ladder guidance: team → org → enterprise.

Quick Start

Invoke the Skill Suggestor on-demand and answer the five questions to generate a Skill Proposal.

Frequently Asked Questions about skill-suggestor

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

FAQPage Schema

How do I identify repeating workflows and turn them into reusable automation?▼

To identify repeating workflows, you can use passive session observation or on-demand interviews to detect patterns and extract intake variables, producing structured Skill Proposals ready for reuse across team, org, or enterprise deployment ladders.

What is pattern detection for workflow automation and when do I need it?▼

Pattern detection for workflow automation is the process of analyzing session data to surface repetitive multi-step tasks. You need it when you repeatedly perform tedious workflows and want to convert them into reusable skills automatically.

How do I extract intake variables from manual workflows to propose new skills?▼

You extract intake variables by conducting on-demand structured interviews with five targeted questions that analyze your manual patterns, outputting a structured Skill Proposal with clear phases and deployment ladder guidance.

Can I capture cross-session patterns without interrupting my current work?▼

Yes, you can capture cross-session patterns through passive observation during any session, which surfaces repetition and tedious tasks in the background without interrupting your active work.

What is the best way to convert detected workflow patterns into structured skill proposals?▼

The best way to convert detected workflow patterns into structured skill proposals is to analyze session data through passive observation or structured interviews, generating proposals with intake variables, phases, and deployment ladders.

Are there limitations to automatic skill suggestion from session data?▼

Automatic skill suggestion from session data relies on detecting repeating workflows and manual patterns, meaning isolated one-off tasks or highly unstructured sessions may not produce viable Skill Proposals for the universalizer.