{"enrichment":{"faq":[{"a":"wiki-enrich automatically completes scaffolded research papers by fetching content from multiple sources and rewriting up to 10 fillable TODO sections into concise prose. It preserves protected sections like Connections and Abstract (original), respects the --force flag for selective overwrites, and caps batches at 20 papers per run to manage token budgets.","q":"How does wiki-enrich fill paper TODO sections in research wiki?"},{"a":"wiki-enrich enriches paper scaffolds left by ingest_paper with content drawn from arxiv and external sources. It batch populates wiki paper sections by converting paper abstracts into structured wiki sections, automating the tedious documentation process while maintaining research wiki integrity.","q":"What sources does wiki-enrich use to enrich wiki papers automatically?"},{"a":"Yes. wiki-enrich respects the --force flag to enable selective overwrites of existing content. Without the flag, it skips already-filled sections; with --force, you can target specific papers or sections for re-enrichment while preserving protected areas like Connections and the original Abstract.","q":"Can wiki-enrich auto-fill research wiki scaffolds selectively?"},{"a":"wiki-enrich caps batches at 20 papers per run to manage token budgets effectively. This prevents excessive API consumption while allowing efficient bulk enrichment of research wiki papers from arxiv and other sources in a single operation.","q":"What are wiki-enrich's batch processing limits?"},{"a":"wiki-enrich preserves protected sections including Connections and Abstract (original) to maintain manually curated content and source integrity. All other fillable TODO sections can be auto-completed unless the --force flag is used to enforce selective overwrites.","q":"Which wiki paper sections does wiki-enrich protect from overwriting?"}],"shadow_tags":["batch-automation","knowledge-base-maintenance","paper-summarization","content-population","wiki-scaffolding","metadata-enrichment","research-organization","llm-generated-content","multi-source-fetching"],"summary_rewrite":"wiki-enrich completes scaffolded research papers by fetching content from multiple sources and rewriting 10 fillable TODO sections into concise prose. It preserves protected sections like Connections and Abstract (original), respects the --force flag for selective overwrites, and caps batches at 20 papers per run to manage token budgets."},"files":[{"bytes":16599,"path":"skills/wiki-enrich/SKILL.md","sha256":"ef2636d24dedbf0824f4b0bec96dee8daf1aef3c4b72ebe772b87a2febe3ea39","url":"https://skillfed.io/files/wanshuiyin/Auto-claude-code-research-in-sleep/wiki-enrich/7cbf8d7e/SKILL.md"}],"id":"wanshuiyin/Auto-claude-code-research-in-sleep/wiki-enrich","links":{"html":"https://skillfed.io/wanshuiyin/Auto-claude-code-research-in-sleep/wiki-enrich","md":"https://skillfed.io/wanshuiyin/Auto-claude-code-research-in-sleep/wiki-enrich.md","repo":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":1247,"language":"Python","last_updated":"2026-07-22","license":"MIT","name":"wiki-enrich","publisher":"wanshuiyin","stars":13939},"relations":{"similar":[{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/research-wiki"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/alphaxiv"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/deepxiv"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/exa-search"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/research-lit"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/semantic-scholar"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/arxiv"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/idea-creator"},{"id":"wanshuiyin/Auto-claude-code-research-in-sleep/result-to-claim"},{"id":"OpenLAIR/dr-claw/aris-research-lit"}]},"slug":{"owner":"wanshuiyin","repo":"Auto-claude-code-research-in-sleep","skill":"wiki-enrich"},"version":"7cbf8d7e"}