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release: v1.2.0 — community-ready, full docs, PDF guide

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Critical fixes:
- marketplace.json: fix version 1.0.0→1.2.0, fix email to ***REMOVED***
- main.canvas: remove 5 broken file references (gitignored files)
- community-plugins.json: deduplicate from 6→4 canonical entries

Vault onboarding:
- wiki/getting-started.md: new onboarding page inside the vault
- wiki/index.md: populate Entities, Sources, Questions, Comparisons sections
- wiki/meta/dashboard.md: fix Dataview queries (was referencing non-existent fields)
- welcome.canvas: add CTA node pointing to getting-started
- CLAUDE.md: replace placeholder text with actual vault description

Docs:
- README.md: complete Plugins section (pre-installed + recommended), CSS Snippets section, Banner usage section, file structure updated
- bin/setup-vault.sh: expanded success message listing all plugins and CSS snippets
- docs/install-guide.md + docs/install-guide.pdf: printable community install guide

Version: 1.1.0 → 1.2.0

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Daniel
2026-04-07 14:20:23 +03:00
parent 5632763da6
commit c8c27141d7
13 changed files with 434 additions and 42 deletions
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wiki/index.md
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@@ -23,9 +23,9 @@ related:
# Wiki Index
Last updated: 2026-04-07 | Total pages: 11 | Sources ingested: 1
Last updated: 2026-04-07 | Total pages: 15 | Sources ingested: 1
Navigation: [[overview]] | [[log]] | [[hot]] | [[dashboard]] | [[Wiki Map]]
Navigation: [[overview]] | [[log]] | [[hot]] | [[dashboard]] | [[Wiki Map]] | [[getting-started]]
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@@ -39,23 +39,25 @@ Navigation: [[overview]] | [[log]] | [[hot]] | [[dashboard]] | [[Wiki Map]]
## Entities
- [[Andrej Karpathy]] — AI researcher, creator of the LLM Wiki pattern, former Tesla AI director (status: developing)
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## Sources
<!-- Source pages are created automatically by ingest. Add your first source: "ingest [filename]" -->
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## Questions
<!-- Add question entries here after queries or /save -->
- [[How does the LLM Wiki pattern work]] — how the pattern works and why it outperforms RAG at human scale (status: developing)
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## Comparisons
<!-- Add comparison entries here -->
- [[Wiki vs RAG]] — when to use a wiki knowledge base versus RAG; verdict: wiki wins at <1000 pages
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