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Expand thin concept articles in the knowledge wiki using web search. Targets concepts with minimal prose assembled from few sources and supplements them with authoritative external information. Run after accumulating new concepts or when articles feel sparse.
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SOC 職業分類に基づく
Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it. For each child, fold (merge content into parent and delete child), link (keep as standalone, linked to parent), or merge into a sibling that already covers its content. Net result: fewer total concepts and a fully linked hierarchy. Run after accumulating new concepts or when the wiki has clusters of narrowly-named sub-concepts without a parent.
Scan the wiki for cross-cutting connections, implicit relationships, contradictions, and gaps across concepts and summaries, then write synthesis concept files. Use when the user wants to discover non-obvious connections, synthesize the knowledge base, or run a reflection pass after adding new content.
Generate or refresh wiki summaries for knowledge base markdown files. Use when the user wants to summarize notes, update the wiki, compile stale summaries, or process new knowledge base files into Wiki/Summaries.
Create or update wiki concept files from knowledge base summaries. Use when the user wants to build or refresh concept articles, populate Wiki/Concepts, or run the concept-creation step after summarizing new files.
Audit and repair the knowledge wiki. Detects orphan summaries (source deleted), broken wikilinks, and orphan concept files. Run periodically after accumulating new content or reorganizing source files.
Interactively find and merge duplicate concept files in the knowledge wiki. Presents candidate pairs one at a time and asks whether to merge, dismiss, or skip each one. Run after accumulating new concepts or when the wiki feels redundant.
| name | knowledge-wiki-enrich |
| description | Expand thin concept articles in the knowledge wiki using web search. Targets concepts with minimal prose assembled from few sources and supplements them with authoritative external information. Run after accumulating new concepts or when articles feel sparse. |
Find concept articles that are thin relative to their source material and expand them using web search. Each article is supplemented with authoritative external information integrated naturally into the existing prose.
The knowledge base root is the Git repository root. Run git rev-parse --show-toplevel and store the result as KNOWLEDGE_PATH.
Use KNOWLEDGE_PATH for all subsequent steps.
Run:
node {KNOWLEDGE_PATH}/scripts/wiki/candidates.mjs find-thin-concepts
Output is { "concepts": [...] } — an array of concept file paths sorted by word count ascending, so the thinnest concepts come first. A concept is thin if it has fewer than 150 words in its body AND at most 2 entries in its ## Sources section.
If the array is empty, print No thin concepts found. and stop.
For each path in the concepts array:
# Title line, and derive the slug (basename without .md).node {KNOWLEDGE_PATH}/scripts/wiki/wiki-index.mjs upsert-concept "{slug}" "{display name from step 1}" "{fresh one-line description}"
Write in American English: use -ize not -ise (normalize, organize, recognise→recognize), -or not -our (color, behavior, honour→honor), -er not -re (center, theater). Do not modify frontmatter or the ## Sources / ## Connected Concepts sections.
Knowledge Wiki Enrich
Expanded {N} concept(s):
- {Display Name}
- {Display Name}
...
Contradictions flagged:
- {Display Name}: {brief description of conflict}
[omit section if none]