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.