setup-task

Official

Generate and validate causal task packages.

Authorgoodfire-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The setup-task Skill turns a task specification into a complete, convention-compliant causalab/tasks/<task_name>/ package so you can immediately run causal abstraction experiments instead of wiring files by hand.

Core Features & Use Cases

  • Creates a full task package from an MD spec: Generates config.py, templates.py, causal model code, counterfactual generators, token position logic, checker, metrics, and a summary notebook.
  • Guides spec ingestion and clarification: Supports existing specs (MD), or interactive/PDF-driven spec creation with approval checkpoints.
  • Performs model validation wiring checks: Loads the specified model, validates end-to-end behavior, and verifies token alignment plus spacing-handling.

Quick Start

Run the skill by providing the path to your markdown task specification, for example: Invoke /setup-task path/to/task_spec.md and then confirm the extracted fields when prompted.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: setup-task
Download link: https://github.com/goodfire-ai/causalab/archive/main.zip#setup-task

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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