ljg-xray-article
Skill3 starsChanged 7 months agoNo licenceView on GitHub
X-ray scans articles to extract wisdom cores using a 4-layer funnel methodology (Surface Scan → Deep Penetration → Core Localization → Wisdom Topology), generating Markdown reports with ASCII art visualizations. Use when user wants to deeply analyze an article, extract wisdom cores, understand hidden cognitive structures, or deconstruct long-form content.
In this repository36 other files it gives its agents.
- analogy-safeguardSkill
- claim-ledger-updateSkill
- daily-reviewSkill
- datetime-toolSkill
- debateSkill
- debate-turnSkill
- doc-gap-fillerSkill
- evidence-verifySkill
- feifei-readingSkill
- final-synthesisSkill
- freshness-checkSkill
- deep-diveSkill
- judge-auditSkill
- lesson-minerSkill
- ljg-cardSkill
- ljg-clipSkill
- ljg-explain-conceptSkill
- ljg-explain-wordsSkill
- ljg-paperSkill
- ljg-xray-bookSkill
- memory-reviewSkill
- pptx-generatorSkill
- see-me-cardSkill
- skill-creatorSkill
- skill-hubSkill
- skill-managerSkill
- source-ingestSkill
- touch-readingSkill
- truth-explorerSkill
- video-replication-sop-cySkill
- weatherSkill
- web-accessSkill
- web-content-extractionSkill
- wechat-publishSkill
- weekly-reviewSkill
- xlsxSkill
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