paper-glossary

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Use when building reusable Obsidian glossary notes from an existing paper source manifest, optionally with a raw-sections override, especially when a reader needs a reviewed shortlist before glossary notes and article links are changed.

AI & Automation 1,117 stars 79 forks Updated yesterday MIT

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Quality Score: 93/100

Stars 20%

100

Recency 20%

100

Frontmatter 20%

70

Documentation 15%

100

Issue Health 10%

50

License 10%

100

Description 5%

100

Skill Content

# Paper Glossary Build shared glossary notes from `*_source_manifest.json`. `--source-manifest` is always required; `--raw-sections` only overrides its `raw_sections_path` with an explicit `*_raw_sections.jsonl`. This skill never runs or modifies a paper-reading workflow; the manifest and raw-sections file are its only paper-content boundary. See `references/file-contract.md` for JSON and CLI contracts. ## Preview And Wait (Default) 1. **Show saved configuration** on first use per person/device. If absent, ask for a term directory inside an Obsidian vault and configure it; reuse valid configuration later. **Setup may create `~/.paper-glossary/config.json`**. 2. **Require an explicit article Markdown path** when article links are requested. Validate it and the configured term directory are in the **same Obsidian vault**; never infer an article path. 3. **Run deterministic proposal** from the effective body. 4. **Perform exactly one grounded host semantic review**, bounded by `shortlist_limit`. It may **only drop or reorder candidates** and must preserve each retained proposal candidate's **exact `term` string**. 5. **Record the reviewed shortlist** with `plan_glossary.py --review-proposal PROPOSAL --reviewed-terms NAMES`; this validates the saved proposal against the current paper source and preserves each full candidate, ordered `surface_forms`, and provenance. If review produces an **empty reviewed shortlist**, report `no_candidates` and stop without presenting a selec...

Details

Author: 917Dhj
Repository: 917Dhj/DeepPaperNote
Created: 6 months ago
Last Updated: yesterday
Language: Python
License: MIT

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