analyze-1c-research

Analyze and score 1C tasks with a three-agent loop.

1|Updated Sep 20, 2025
One-click install
npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill analyze-1c-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-1c-research
Source: https://github.com/Alex1980Alex/1C-Enterprise_Framework/tree/main/.claude/skills/analyze-1c-research
Command: npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill analyze-1c-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Orchestrates autonomous 1C task analysis using a three-agent loop (Executor, Reviewer, Comparator) to iteratively improve scoring and decision quality.

Core Features & Use Cases

  • Three-agent workflow coordinates Executor, Reviewer, and Comparator to evaluate and refine task descriptions and solutions.
  • Autoscoring and progress tracking monitor iterations, scores, and verdicts, producing clear final reports.
  • Task orchestration supports specifying a Markdown task file, background execution, and structured outputs for audits.

Quick Start

Run /analyze-1c-research <path-to-task.md> to start the three-agent autoscoring analysis.

Frequently Asked Questions about analyze-1c-research

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

FAQPage Schema
How do I automate 1C task analysis with iterative scoring?

Automated 1C task analysis uses a three-agent loop with Executor, Reviewer, and Comparator roles to iteratively evaluate and refine solutions until hitting the target score.

What is a multi-agent workflow for evaluating 1C challenges?

A multi-agent workflow for 1C challenges coordinates three distinct agents to execute tasks, review performance, and compare results against targets for autonomous quality refinement.

How do I run a background script to monitor 1C autoscoring progress?

Run a background script by pointing the command to a Markdown task file, which triggers the autoscoring loop to monitor iterations and output final scores with report paths.

Can I use a Markdown file as input for 1C task orchestration?

Yes, you can specify a Markdown task file path to start the 1C task orchestration, which the three-agent loop processes to generate structured outputs for audits.

What is the best way to structure 1C task reports for audits?

The best way to structure 1C task reports for audits is using the three-agent orchestration loop, which produces structured outputs including final scores, iteration counts, and log paths.