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.