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autoqec-run

Orchestrate AutoQEC experiments across subagents and generate history.jsonl and pareto.json artifacts.

3|Updated Apr 20, 2026
Search Tags:#trace#reproducibility#orchestrate#runner#rounds#autoqec#ideator
One-click install
npx skills add https://github.com/qualit527/qec-ai-decoder --skill autoqec-run
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autoqec-run
Source: https://github.com/qualit527/qec-ai-decoder/tree/main/.claude/skills/autoqec-run
Command: npx skills add https://github.com/qualit527/qec-ai-decoder --skill autoqec-run

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates end-to-end orchestration of AutoQEC experiments by coordinating the Ideator, Coder, Runner, and Analyst subagents and by writing run traces and artifacts to a reproducible history.

Core Features & Use Cases

  • Orchestrates multi-round AutoQEC research loops and manages memory, trace, and artifact storage under runs/<run_id>.
  • Supports starting from an EnvSpec YAML, running multiple rounds, and generating history.jsonl and pareto.json for reproducibility.
  • Enables researchers to run repeatable experiments with auditable decision trails without manual orchestration.

Quick Start

Run the AutoQEC orchestration on a given EnvSpec YAML to start a new research round.

Frequently Asked Questions about autoqec-run

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

FAQPage Schema
How do I orchestrate reproducible AutoQEC experiments across multiple rounds?▼

To orchestrate reproducible AutoQEC experiments, use a runner that coordinates Ideator, Coder, Runner, and Analyst subagents to execute multiple rounds across EnvSpec YAMLs, generating history.jsonl and pareto.json artifacts for full traceability.

What is the best way to automate multi-agent research loops with traceable history?▼

Automating multi-agent research loops with traceable history requires an orchestration tool that manages subagent coordination and writes run traces. This approach stores results under runs/<run_id> with history.jsonl and pareto.json for auditable decision trails.

How do I start a new AutoQEC research round from an EnvSpec YAML file?▼

To start a new AutoQEC research round from an EnvSpec YAML file, invoke the orchestration runner with the YAML path. The runner validates prompts, coordinates subagents, and outputs run traces and artifacts under a dedicated runs/<run_id> directory.

Do I need the Agent tool and Runner CLI to run AutoQEC orchestration?▼

Yes, you need the Agent tool and Runner CLI to run AutoQEC orchestration. The orchestration process relies on these internal helpers to coordinate subagents, validate prompts, and store reproducible artifacts like history.jsonl and pareto.json.

Can I generate Pareto frontier artifacts automatically from reproducible experiment rounds?▼

Yes, you can generate Pareto frontier artifacts automatically from reproducible experiment rounds by running an AutoQEC orchestrator. It coordinates subagents across multiple rounds and outputs pareto.json alongside history.jsonl for experiment analysis.

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