log-action

Append structured entries to .context/exercise-action-log.md with step numbering and phase classification.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/stevenmunoz/turbo-ai-exercise --skill log-action
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-action
Source: https://github.com/stevenmunoz/turbo-ai-exercise/tree/main/.claude/skills/log-action
Command: npx skills add https://github.com/stevenmunoz/turbo-ai-exercise --skill log-action

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Log actions to the AI PM exercise timeline by appending structured entries to the exercise-action-log.md file. This ensures no step is lost and provides a complete narrative of the product development process.

Core Features & Use Cases

  • Append a structured entry to the exercise-action-log.md to capture what was done and why it mattered.
  • Automatically determine the next step number and classify the product development phase.
  • Confirm and document outcomes, logs, and decisions in a consistent, reviewable format.

Quick Start

Log the current action to the exercise timeline using the standard entry format

Frequently Asked Questions about log-action

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

FAQPage Schema
How do I log product development actions to a structured timeline?▼

Log product development actions by appending structured entries to the exercise-action-log.md file. This captures what was done and why, ensuring no step is lost and providing a complete narrative of the process.

What is the standard entry format for documenting a product management step?▼

The standard entry format for a product management step enforces traceability using step numbering, phase classification, and a confirmation workflow. This structured schema ensures decisions are auditable and reviewable.

How do I automatically number and classify steps across product workflows?▼

Automatically determine the next step number and classify the product development phase by appending entries to the exercise-action-log.md. It supports logging steps across discovery, design, implementation, testing, and deployment.

Can I use this to trace decisions across the entire product lifecycle?▼

Yes, you can trace decisions across the entire product lifecycle by logging actions to the exercise timeline. It enforces a strict schema with step numbering and phase classification to ensure auditability of decisions.

What's the best way to maintain an auditable action log for AI PM exercises?▼

The best way to maintain an auditable action log for AI PM exercises is appending structured entries to the exercise-action-log.md. This enforces a standard entry format with phase classification and a confirmation workflow.

Do I need a specific markdown file to record my product management timeline?▼

Yes, you need the exercise-action-log.md file located in the .context directory to record your product management timeline. The solution appends structured entries to this file to maintain a complete narrative.