pace

Persist the user's pace mode to working/session_state.yaml across L3+ analyses.

16|7|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill pace-ai-analyst-lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pace
Source: https://github.com/ai-analyst-lab/ai-analyst-plus/tree/main/.claude/skills/pace
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill pace-ai-analyst-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persist the user's explicit pace mode across L3+ analyses, ensuring consistent visibility and interaction during multi-phase workflows.

Core Features & Use Cases

  • Persist the selected pace mode to working/session_state.yaml so it survives phase transitions and resume/pipeline actions.
  • Support three modes: guided, narrated, and autopilot, plus an option to query the current mode.
  • Write changes atomically and handle errors gracefully, so the session state remains valid even if interruptions occur.
  • Apply the selected pace at the next phase boundary, preventing mid-phase banner state changes.

Quick Start

Set pace to guided, narrated, or autopilot using the /pace command to control phase banners.

Frequently Asked Questions about pace

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

FAQPage Schema
How do I persist analysis pace mode across phase transitions in a multi-phase workflow?

To persist analysis pace mode across phase transitions, write the selected mode to session_state.yaml. This ensures the configured visibility setting survives resume-pipeline and /continue workflows without resetting.

What is the best way to control phase banner visibility during L3+ reviews?

Controlling phase banner visibility during L3+ reviews involves setting a guided, narrated, or autopilot mode. The chosen mode applies at the next phase boundary, preventing disruptive mid-phase banner state changes.

Can I safely update session_state.yaml without losing existing workflow data?

Yes, you can safely update session_state.yaml without losing data. The process reads existing YAML content, validates the new input, and writes changes atomically to preserve all other session data even during interruptions.

Does atomic YAML writing prevent workflow corruption when setting pace mode?

Atomic YAML writing prevents workflow corruption by ensuring the session state file remains valid even if interruptions occur. It safely reads, validates, and writes the pace mode while preserving other session data.

When should I not change the pace mode during an active analysis phase?

You should not change the pace mode during an active phase because the setting only applies at the next phase boundary. Altering it mid-phase prevents immediate banner state changes and avoids disrupting the current workflow.

How do I query the current pace mode stored in my session state?

To query the current pace mode stored in your session state, use the dedicated query option. This reads the existing YAML file safely and returns the active mode configured for your L3+ analyses.