viral-titlelisted

# Viral Title ## Overview Use this skill to generate and select viral title candidates. The current version implements Phase 1 universal methodology, WeChat public-account title reuse, X/Twitter hook generation, YouTube title-thumbnail packaging, Bilibili title-cover-tag packaging, and a lightweight evolution loop. Phase 1 must generate 30 titles: 10 universal formulas x 3 variants per formula. Then score the candidates and recommend the single best title. ## Workflow 1. Clarify only if the content is too vague to title. 2. Identify the core material: - topic or content summary - target audience - platform if provided - strongest value, conflict, novelty, or emotional hook - hard facts, numbers, names, examples, and constraints that must remain true 3. Read `references/phase1-universal-methodology.md`. 4. If the user names a platform, load the matching platform reference from `references/platforms/`. 5. Read `references/evolution/promoted-rules.md` and `references/evolution/anti-patterns.md`. 6. Generate exactly 3 titles for each of the 10 Phase 1 formulas. 7. If a platform reference is implemented, generate platform-tuned candidates after the universal batch when the user asks for platform-specific titles. 8. If the user asks to reuse proven titles or says "套用标题库", retrieve relevant examples instead of loading full libraries. 9. Score the candidate pool with the Phase 1 scoring rubric plus any platform-specific rules. 10. Select one best title and briefly