What types of metadata are added?

It adds session titles, work types (e.g., feature, bugfix), technologies used, libraries, outcomes, and links to relevant files or decision logs.

How do I find entries that need enrichment?

When run without a specific identifier, the skill automatically lists the most recent unenriched entries by checking the .state.json file in your journal directory.

What does ctx-journal-enrich do?

It scans your AI session logs to add structured metadata, categorizing your work and extracting key decisions for future reference within the ctx system.

Will it overwrite my manual changes?

No, the skill includes safety checks for 'locked' files and always provides a diff for you to review and approve before any modifications are saved to disk.

Does it work with any markdown file?

While optimized for the ctx journal format, it is designed to work with any session export that follows the expected journal structure and naming conventions of the ctx repository.

Context Journal Enricher

Name: Context Journal Enricher
Author: ActiveMemory

byActiveMemory

•

生産性とワークフロー

Automates the enrichment of AI session journal entries with structured metadata, summaries, and extracted project insights.

The Context Journal Enricher is a specialized utility for the ctx ecosystem that transforms raw AI conversation exports into a structured, searchable knowledge base. It analyzes previous coding sessions to automatically generate YAML frontmatter, categorize work types like bugfixes or features, and extract critical architectural decisions and learnings. By providing a standardized way to rehydrate project context, this skill ensures that developers can maintain a high-fidelity history of their project's evolution and easily retrieve specific session data when needed.

主な機能

0136 GitHub stars

02Intelligent extraction of decisions, learnings, and task lists from conversation history

03Smart session classification (feature, bugfix, refactor, exploration, etc.)

04Safety mechanisms to prevent overwriting locked or previously enriched files

05Automatic YAML frontmatter generation including technology stacks and session outcomes

06Interactive diff-based review process for user confirmation before saving changes

ユースケース

01Transforming raw session exports into structured documentation for team handoffs

02Maintaining long-term project context by cataloging decisions and technical debt

03Building a searchable, categorized archive of AI-assisted development sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activememory/ctx ctx-journal-enrich

For use in Claude.ai and ChatGPT

Download Skill