decision

Name: decision
Availability: InStock
Author: Hawksight-AI

Record, query, and explain decisions using Python scripts and decision graphs.

2.9k|348|Updated Jun 25, 2025

Search Tags:#audit #decision #decision analysis #traceability #graph #explainability

Ready to run

npx skills add https://github.com/Hawksight-AI/semantica --skill decision-hawksight-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: decision
Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/decision
Command: npx skills add https://github.com/Hawksight-AI/semantica --skill decision-hawksight-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables comprehensive management and analysis of decision processes, helping organizations record, query, and explain decisions effectively.

Core Features & Use Cases

Decision Recording: Capture decisions with detailed context, such as category, scenario, reasoning, and outcome, ensuring traceability.
Decision Querying: Use natural language queries to retrieve relevant decisions or analyze influence and dependencies within decision graphs.
Explainability and Auditability: Trace causal chains, understand reasoning steps, and verify policy compliance for transparency and trust.

Quick Start

Use the decision skill to record a decision in a hiring scenario with reasons and outcome.

Frequently Asked Questions about decision

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

FAQPage Schema

How do I create an audit trail for organizational decision making?▼

To create an audit trail for decision making, record decisions with detailed context such as category, scenario, reasoning, and outcome. This ensures traceability and enables verification of policy compliance during future reviews.

What is decision traceability and how does influence analysis work?▼

Decision traceability tracks the lifecycle and causal chains of choices within organizational processes. Influence analysis works by mapping dependencies within internal decision graphs to explain how specific outcomes are reached.

How do I query past decisions using natural language to check policy compliance?▼

You can query past decisions using natural language queries to retrieve relevant records or analyze dependencies. This allows you to trace reasoning steps and verify policy compliance for transparency and trust.

Can I analyze decision dependencies and causal chains in a hiring scenario?▼

Yes, you can analyze decision dependencies and causal chains in a hiring scenario. The system records the specific scenario and reasoning, allowing you to later explain the decision process and trace its influence graph.

Does Python support decision graph explainability for organizational processes?▼

Python scripts support decision graph explainability by facilitating the recording, querying, and influence analysis of decisions. This relies on internal graph structures to map causal chains across organizational processes.