agentsframework-axial-coding

Name: agentsframework-axial-coding
Availability: InStock
Author: rajnishkhatri

Automate axial coding of open-coded data into named failure categories.

Updated Apr 17, 2026

Search Tags:#qualitative analysis #grounded theory #failure taxonomy #axial coding #data clustering

Ready to run

npx skills add https://github.com/rajnishkhatri/AgentsFramework --skill agentsframework-axial-coding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentsframework-axial-coding
Source: https://github.com/rajnishkhatri/AgentsFramework/tree/main/.cursor/skills/agentsframework-axial-coding
Command: npx skills add https://github.com/rajnishkhatri/AgentsFramework --skill agentsframework-axial-coding

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps organize and categorize open-coded data from the first stage of grounded theory, enabling the creation of a structured failure taxonomy and testable categories.

Core Features & Use Cases

Axial Coding Execution: Automates the process of categorizing open codes into named, testable failure categories.
Taxonomy Creation: Generates a failure taxonomy with testable categories, facilitating further analysis.
Use Case: After completing an open-coding phase, use this Skill to cluster open codes into categories, identify minimal pairs, and generate rubric assertions and judge test-case candidates.

Quick Start

Run the 'agentsframework-axial-coding' skill on the 'coded.jsonl' file to perform an axial coding pass.

Frequently Asked Questions about agentsframework-axial-coding

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

FAQPage Schema

How do I perform axial coding on open-coded qualitative data?▼

To perform axial coding on open-coded qualitative data, you automate the categorization and clustering of codes into named, testable failure categories using Python scripts and CSV files.

What is axial coding in grounded theory?▼

Axial coding in grounded theory is the Stage 2 process of categorizing and clustering open-coded data into structured, named failure categories to generate testable categories and enable further analysis.

How do I create a failure taxonomy from open-coded data?▼

You create a failure taxonomy from open-coded data by running an automated axial coding pass on a coded JSONL file, which clusters open codes into testable categories and generates rubric assertions.

Can I use axial coding for AI agent evaluation?▼

Yes, you can use axial coding for AI agent evaluation by processing open-coded qualitative data to identify minimal pairs and generate judge test-case candidates for structured failure analysis.

What file format is needed for automated axial coding?▼

Automated axial coding requires a JSONL file containing open-coded data, which the Python scripts process and organize to output structured failure categories and testable rubric assertions.