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daytrace-session

Orchestrates a multi-phase workflow to generate daily reports from local activity data.

Updated Mar 9, 2026
Search Tags:#automation#content generation#workflow orchestration#ai assistant#pattern mining#daily reflection
One-click install
npx skills add https://github.com/matz-d/daytrace --skill daytrace-session
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daytrace-session
Source: https://github.com/matz-d/daytrace/tree/main/plugins/daytrace/skills/daytrace-session
Command: npx skills add https://github.com/matz-d/daytrace --skill daytrace-session

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the entire process of reflecting on your day, from gathering local traces to generating reports, identifying patterns, and drafting posts, all with a single command.

Core Features & Use Cases

  • Integrated Workflow: Orchestrates multiple sub-skills (daily report, pattern mining, post drafting) into one seamless session.
  • Automated Data Collection: Gathers data from Git, Claude/Codex history, and Chrome browsing history.
  • Pattern Identification: Mines interaction history for reusable patterns and skill proposals.
  • Content Generation: Drafts daily reports and external-facing narrative posts.
  • Use Case: At the end of a busy day, simply ask your AI to "summarize my day," and it will autonomously collect your activity, generate a personal daily report, identify potential new skills from your interactions, and even draft a blog post about your day's key insights.

Quick Start

Ask your AI to summarize your day to initiate the integrated session.

Frequently Asked Questions about daytrace-session

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

FAQPage Schema
How do I automate daily reflection and generate a report from my development traces?▼

Automated daily reflection orchestrates a multi-phase AI workflow that collects local traces from Git, Claude/Codex history, and Chrome browsing to generate a comprehensive daily report in a single session.

How does pattern mining from AI interaction history work for skill proposals?▼

Pattern mining analyzes your collected interaction history to identify reusable patterns, automatically generating potential skill proposals to enhance productivity and streamline future workflows.

Can I draft external content like blog posts directly from my daily activity logs?▼

Content generation drafts external-facing narrative posts by leveraging your daily activity logs, transforming mined patterns and daily reports into ready-to-publish blog content.

What data sources do I need for an automated AI workflow to summarize my day?▼

Automated daily reflection requires access to local data sources including Git history, Claude or Codex interaction logs, and Chrome browsing history to complete end-to-end autonomous task collection.

Does this daily reflection assistant handle errors if a local data source is unavailable?▼

The daily reflection workflow implements robust error handling and graceful degradation, ensuring the AI session completes even if certain local traces or data sources are temporarily unavailable.

What is the best way to integrate daily reporting, pattern mining, and post drafting into one workflow?▼

Workflow orchestration integrates these sub-skills into one seamless session, automating data collection, report generation, pattern identification, and content drafting with a single command.

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