add-task

Interview experts to create structured benchmark task seed files.

35|5|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/TheodoreGalanos/aec-bench --skill add-task-theodoregalanos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-task
Source: https://github.com/TheodoreGalanos/aec-bench/tree/main/src/aec_bench/init/skill_data/add-task
Command: npx skills add https://github.com/TheodoreGalanos/aec-bench --skill add-task-theodoregalanos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Create a structured benchmark task seed source_task.json from an expert's description. The skill interviews the expert, validates the captured information, assesses whether the task can be automated via templates, and writes a seed file that feeds into the generation pipeline.

Core Features & Use Cases

  • Interview the expert to extract required fields: discipline, task_id, task_name, description, inputs, outputs, standards, and complexity.
  • Validate captured information against the seed-schema and assess feasibility using the five criteria.
  • Write a seed file to seeds/<discipline>/<task-id>/source_task.json that feeds the generation workflow.

Quick Start

Describe a task idea in detail to generate a seed-ready source_task.json for the generation workflow.

Frequently Asked Questions about add-task

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

FAQPage Schema
How do I create a structured benchmark task seed from an expert's description?

A benchmark task seed requires specific fields: discipline, task_id, task_name, description, inputs, outputs, standards, and complexity. The skill captures these through an expert interview and validates them against the seed-schema before file creation.

Can I assess task feasibility before generating a seed file?

Yes, you can assess task feasibility before seed creation. The skill evaluates your captured task information against five feasibility criteria to determine if the task can be automated via templates, ensuring only viable seeds are written.

How do I structure task inputs and outputs for a seed generation pipeline?

To structure inputs and outputs for seed generation, provide your task details to the skill. It extracts the required fields, validates them against the seed-schema, and writes a source_task.json file to the seeds directory for the generation workflow.

What's the best way to capture expert interview data for benchmark task planning?

The best way to capture expert interview data for benchmark planning is using an interview-based skill. It extracts task fields like description, complexity, and standards, then evaluates feasibility and writes a structured source_task.json file.

When do I need a source_task.json file for my benchmark workflow?

You need a source_task.json file when you want to feed an expert's benchmark task idea into a generation pipeline. It serves as the structured seed payload containing all validated task fields and feasibility assessments required for automation.