aget-process-observation

Classify captured observations and route actionable items to downstream workflow steps.

1|Updated Oct 20, 2025
One-click install
npx skills add https://github.com/aget-framework/template-spec-engineer-aget --skill aget-process-observation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aget-process-observation
Source: https://github.com/aget-framework/template-spec-engineer-aget/tree/main/.claude/skills/aget-process-observation
Command: npx skills add https://github.com/aget-framework/template-spec-engineer-aget --skill aget-process-observation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the lack of a governed processing step between capturing an observation and promoting it to lessons or issues, by classifying captured input types and routing actionable items to the right downstream skills.

Core Features & Use Cases

  • Input classification before routing: Detects and categorizes evidence types (e.g., verbal observations, web research findings, screenshots, environmental context, metrics) and uses that classification to decide the correct consequence.
  • File-and-Route capture pipeline step: Implements an explicit “Capture -> Process -> Promote” step that routes actionable items to lesson creation, issue filing, ontology expansion, spec enhancement, or project-plan updates.
  • Status tracking and reporting: Updates each observation from Captured to Processed and produces a summary that separates automated routes from manual recommendations.

Quick Start

Run the skill to process all observations currently marked as Captured in .aget/research/.

Frequently Asked Questions about aget-process-observation

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

FAQPage Schema
What is the best way to process captured research observations before promoting them?

Observation processing works by characterizing prerequisite inputs, categorizing evidence types, and routing only content found in the observation to downstream steps. This prevents fabrication and updates each item from Captured to Processed.

How does observation classification handle different evidence types like screenshots and metrics?

Yes, you can route observation findings to spec enhancement and project-plan updates. The processing stage classifies captured input types and routes actionable items to lesson creation, issue filing, ontology expansion, spec changes, or project-plan updates.

Can I route observation findings to spec enhancement and project-plan updates?

Observation classification handles different evidence types by detecting and categorizing inputs such as verbal observations, web research findings, screenshots, environmental context, and metrics. This classification determines the correct consequence for each item.

How does observation classification handle different evidence types like screenshots and metrics?

Actionable observations can be routed to lesson creation, issue filing, ontology expansion, spec enhancement, or project-plan updates. The processing stage separates automated routes from manual recommendations in its summary report.

Can I route observation findings to spec enhancement and project-plan updates?

Yes, observation processing prevents fabricating data by enforcing prerequisite input characterization and only routing content explicitly found in the observation file. This ensures governed processing without introducing external or unverified information.