Roll up append-only wiki log entries into compact traceable fold meta-pages.
npx skills add https://github.com/AgriciDaniel/claude-obsidian --skill wiki-fold
Please help me install this Agent Skill. Skill: wiki-fold Source: https://github.com/AgriciDaniel/claude-obsidian/tree/main/skills/wiki-fold Command: npx skills add https://github.com/AgriciDaniel/claude-obsidian --skill wiki-fold
It converts a long, append-only wiki/log.md history into compact meta-pages that are guaranteed to be traceable back to the underlying log entries, so you can skim progress without losing auditability.
k, preventing accidental duplicate fold writes.wiki/folds/, wiki/index.md, and wiki/log.md.Ask the AI to run wiki-fold in dry-run mode for k=4 so it prints the fold page content that would be committed.
High-intent search queries and answers about installing and using this skill.
To summarize wiki log entries without losing traceability, you can roll up append-only log histories into compact fold meta-pages. This process guarantees every generated fold page links directly back to the underlying log entries.
To generate idempotent rollups of recent Obsidian log ranges, derive deterministic fold IDs from the range and k value. This structural idempotency prevents accidental duplicate fold writes during the rollup process.
Yes, you can preview extractive summarization safely using a dry-run mode that outputs fold content to stdout by default. This prevents accidental modifications until you explicitly use the protected commit workflow.
The best way to enforce no-invention extractive rules for knowledge management logs is to strictly bound the summarization scope. Generate fold content only from existing log entries and referenced pages, ensuring no invented synthesis is added.
Yes, wiki-fold supports Git-safe commits through its protected commit workflow. When explicitly triggered, it deterministically updates the wiki folds directory, index file, and main log file without unintended side effects.
Running multiple rollups on the same log range with identical parameters yields identical results due to deterministic fold ID derivation. This structural idempotency ensures no duplicate fold pages are accidentally written.
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