Is my session data private?

Yes, the skill operates locally on your machine, using Claude to analyze your local log files and markdown documents to generate the summary.

How does the Daily Work Logger save on token costs?

It utilizes a sub-agent architecture that delegates file analysis to the smaller, faster Haiku model. Only the final summarized results are returned to the main agent, significantly reducing the main context window overhead.

Does this skill require a specific folder structure?

It is optimized for a standard Obsidian vault setup with a dedicated dailies folder, but paths are configurable within the skill's logic to match your local directory structure.

What files does the skill look at to find my work?

The skill scans your local Obsidian Vault (specifically Inbox, Resources, and Slipbox folders), Claude Code session logs in ~/.claude/projects, and specific meeting note patterns.

Can I analyze work from a specific date instead of just yesterday?

Yes, you can pass an optional date argument in YYYY-MM-DD format, such as '/daily-work-logger 2026-01-12', to summarize activities for any specific day.

Daily Work Logger

Name: Daily Work Logger
Author: msbaek

bymsbaek

Productividad y Flujo de Trabajo

Automates the collection and logging of daily work activities from Obsidian vaults and Claude sessions into structured daily notes.

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The Daily Work Logger skill streamlines your morning routine by automatically synthesizing your previous day's activities into a centralized Obsidian daily note. By leveraging a multi-agent architecture, it concurrently analyzes local vault files, Claude Code session histories, meeting notes, and technical learning logs to generate a comprehensive markdown summary. This approach uses the efficient Haiku model for sub-tasks to minimize context window usage and speed up processing, ensuring your work history remains accurate and organized without manual effort.

Características Principales

0 GitHub stars
Multi-agent parallel processing for high-speed analysis and reduced main context usage
Pattern-based detection of technical learnings and TIL (Today I Learned) entries
Automated extraction of coding activities from Claude Code JSONL session logs
Automatic summarization of meeting notes, decisions, and action items
Intelligent scanning of Obsidian Vault modifications across specific directories

Casos de Uso

Maintaining a consistent and detailed professional work history within an Obsidian personal knowledge management system
Automating the transition of technical insights from chat sessions to long-term documentation
Generating daily stand-up reports based on actual coding and documentation work from the previous day

Acerca de

Características Principales

0 GitHub stars
Multi-agent parallel processing for high-speed analysis and reduced main context usage
Pattern-based detection of technical learnings and TIL (Today I Learned) entries
Automated extraction of coding activities from Claude Code JSONL session logs
Automatic summarization of meeting notes, decisions, and action items
Intelligent scanning of Obsidian Vault modifications across specific directories

Casos de Uso

Maintaining a consistent and detailed professional work history within an Obsidian personal knowledge management system
Automating the transition of technical insights from chat sessions to long-term documentation
Generating daily stand-up reports based on actual coding and documentation work from the previous day