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survey

Analyze AI-agent session history to identify implicit workflows and open decisions.

73|7|Updated Mar 26, 2026
Search Tags:#decision tracking#project status#project workflow#agent session analysis#ai-agent history
One-click install
npx skills add https://github.com/spacedock-dev/spacedock --skill survey-spacedock-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: survey
Source: https://github.com/spacedock-dev/spacedock/tree/main/skills/survey
Command: npx skills add https://github.com/spacedock-dev/spacedock --skill survey-spacedock-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentsview, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an overview of a project's AI-agent history, identifying the implicit workflow, open decisions, and the frequency of human intervention.

Core Features & Use Cases

  • Project Status Overview: Reconstructs the implicit workflow from AI-agent session history.
  • Open Decisions: Identifies open decisions and the frequency of human intervention.
  • Use Case: After picking up a new project, use this Skill to quickly understand what has been done, what decisions have been made, and where the project stands.

Quick Start

Run the survey skill to analyze the current project's status.

Frequently Asked Questions about survey

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

FAQPage Schema
How do I track project status from AI agent session history?▼

You can track project status by analyzing AI agent session history to reconstruct the implicit workflow, identify open decisions, and measure the frequency of human intervention.

How do I identify open decisions in an AI-agent project workflow?▼

Identify open decisions by processing agent session data to extract the implicit workflow and highlight unresolved decision points where human intervention occurred.

Do I need the agentsview binary to analyze agent session data?▼

Yes, analyzing agent session data requires the agentsview binary to process the project's history and identify the implicit workflow and decision tracking points.

What is the best way to understand project workflow when picking up a new project?▼

The best way to understand a new project workflow is to analyze the AI-agent history to quickly see completed actions, open decisions, and the current project status.

Can I use this to measure human intervention frequency in AI-agent workflows?▼

Yes, you can measure human intervention frequency by analyzing the agent session history to see how often manual input altered the implicit project workflow.

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