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decision-extraction

Extract governance-relevant decisions from agent outputs into structured ADR entries.

Updated Mar 8, 2026
Search Tags:#adr#memory#governance#traceability#decision-extraction#product-decisions#ai-outputs
One-click install
npx skills add https://github.com/petrSimonidesXart/xPmGateway --skill decision-extraction-petrsimonidesxart
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision-extraction
Source: https://github.com/petrSimonidesXart/xPmGateway/tree/main/.gaai/core/skills/cross/decision-extraction
Command: npx skills add https://github.com/petrSimonidesXart/xPmGateway --skill decision-extraction-petrsimonidesxart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and formalize durable product and technical decisions from agent outputs into long-term memory as ADR entries.

Core Features & Use Cases

  • Extracts decisions from Discovery, Delivery, QA outputs to create ADR entries containing context, decision, and impact.
  • Maintains a centralized decision registry with deduplication, cross-reference, and traceability across decisions.
  • Supports long-term governance memory for product direction and architectural trade-offs.

Quick Start

Convert the latest artefacts produced in the current session into a new ADR entry and register it in memory.

Frequently Asked Questions about decision-extraction

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

FAQPage Schema
How do I extract architectural decisions from agent outputs into a durable registry?▼

To extract architectural decisions from agent outputs, the skill identifies governance-relevant choices from Discovery, Delivery, and QA sessions and records them into a centralized ADR memory. It formalizes context, decision, and impact into structured ADR files for long-term traceability.

What is the best way to maintain governance memory for product decisions generated by AI?▼

Maintaining governance memory for product decisions involves capturing AI-generated trade-offs and constraints into structured ADR entries. This creates a centralized registry with deduplication and cross-referencing to ensure past choices constrain future work and policy.

How do I convert session artefacts into a structured ADR file?▼

You can convert session artefacts into a structured ADR file by applying the extraction process to the latest outputs. It identifies durable product or technical decisions and registers them in memory with the required context, decision, and impact fields.

Does this approach support traceability and cross-referencing across multiple ADR entries?▼

Yes, traceability across multiple ADR entries is supported through a centralized decision registry. The system deduplicates extracted decisions and links related entries, ensuring architectural trade-offs and product direction are cross-referenced.

When do I need to formalize AI outputs into long-term ADR memory?▼

You need to formalize AI outputs into ADR memory when agent-generated decisions constrain future work or policy. Capturing these outputs as structured ADR entries ensures durable governance traceability across Discovery, Delivery, and QA phases.

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