project-logger

Log project activities, decisions, and outputs into timestamped markdown entries.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/omerreish-lgtm/secretary-system --skill project-logger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-logger
Source: https://github.com/omerreish-lgtm/secretary-system/tree/main/skills-source-project-logger
Command: npx skills add https://github.com/omerreish-lgtm/secretary-system --skill project-logger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual tracking of project activities, decisions, and outputs leads to lost context, inconsistent records, and difficulty in recalling project history or status. This Skill provides an automated, queryable institutional memory for your projects.

Core Features & Use Cases

  • Automated Activity Logging: Automatically records significant project actions, decisions, and outputs, building a comprehensive project history.
  • Queryable Project History: Easily retrieve past activities, decisions, and status updates by asking natural language questions.
  • Summarized Status Reports: Generate quick overviews of project health, progress, and current blockers for rapid understanding.
  • Use Case: After a task is completed by another skill, this skill automatically logs the action, output, and next steps, ensuring a complete project history. Later, you can ask "What's the status of the AI Strategy project?" and get a concise summary of recent activities, decisions, and blockers.

Quick Start

Log the decision to use Gemini for research on the AI strategy project. What's the status of the current project?

Frequently Asked Questions about project-logger

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

FAQPage Schema
How do I automate logging of project decisions and activities?

Automated activity logging records project decisions, actions, and outputs as they happen, building a queryable institutional memory. The Skill formats entries with timestamps and markdown structure, inserting new logs automatically so you maintain a complete project history without manual data entry.

Can I retrieve project history and status by asking natural language questions?

Yes. The Skill enables queryable project history—ask questions like "What's the status of the AI Strategy project?" and retrieve past activities, decisions, and blockers as concise summaries, eliminating manual searches through scattered records.

What should I log to build effective project memory?

Log significant actions, decisions, outputs, and next steps using standardized, timestamped markdown entries. The Skill requires defined entry types and consistent structure so historical entries remain searchable and status checks return accurate, condensed overviews.

How do I generate status reports from project logs?

Use Summarize Mode to generate quick overviews of project health, progress, and current blockers from logged activities and decisions. The Skill condenses institutional memory into rapid status reports without manual compilation.

Can I integrate automated logging with other project workflows?

Yes. Applied across Write Mode, Read Mode, and Summarize Mode, the Skill records actions as they happen after other tasks complete, retrieves historical entries for status checks, and generates condensed reports—integrating logging into existing project automation workflows.

What problem does manual project tracking create that this solves?

Manual tracking loses context, creates inconsistent records, and makes recalling project history difficult. Automated institutional memory with queryable logs ensures complete project documentation, consistent record-keeping, and instant access to historical decisions and progress.