Journal Markdown Normalizer

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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.

主な機能

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

ユースケース

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