Does this skill delete any of my journal content?

No, the default mode is entirely lossless and only reformats the structure of your markdown. The optional 'compact' mode may summarize long tool outputs, but only after alerting the user.

How does the skill ensure file safety?

Before making any modifications, the skill automatically creates a backup of your journal directory (typically in a .bak sibling folder) to ensure no data is lost during the normalization process.

Is it safe to run this skill multiple times?

Yes. The skill is idempotent; it tracks the state of each file in a .state.json file and will skip entries that have already been verified and normalized.

What kind of rendering issues does this fix?

It specifically addresses problems where code fences don't highlight correctly due to nesting, metadata blocks appear as raw text instead of tables, and long lists or tool outputs clutter the document.

Journal Markdown Normalizer

Name: Journal Markdown Normalizer
Author: ActiveMemory

byActiveMemory

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콘텐츠 관리

Reconstructs and cleans markdown journal entries to resolve rendering issues and optimize AI context rehydration.

The ctx-journal-normalize skill provides automated maintenance for your AI-generated development journals within the ctx ecosystem. It systematically fixes common markdown artifacts such as nested code fence conflicts, improperly formatted metadata blocks, and messy tool outputs that can break site rendering. By transforming raw structural markers into clean, standard markdown—including interactive HTML tables and collapsed details blocks—it ensures that project context remains both human-readable and optimized for future AI sessions. The skill includes built-in safety through automatic backups and intelligent state tracking to ensure idempotency and prevent redundant processing.

주요 기능

01Resolves code fence nesting conflicts using standardized backtick hierarchies

02Converts raw metadata into collapsed, interactive HTML tables for better readability

03Ensures consistent list indentation and structural marker preservation

04Automates the collapsing of long tool outputs into summary blocks

0536 GitHub stars

06Implements state tracking via .state.json to identify and skip already-normalized files

사용 사례

01Compacting large journal logs to manage context window space while preserving content

02Fixing broken code highlighting and rendering issues in the ctx journal site export

03Standardizing journal entries before running advanced data extraction or enrichment tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activememory/ctx ctx-journal-normalize

For use in Claude.ai and ChatGPT

Download Skill