{"skill":{"slug":"paper-defense-qa-code-training","displayName":"Paper Defense Q&A + Code Audit + Visual Answer Cards","summary":"Prepare evidence-grounded computer science paper defense Q&A, code/training audit, reviewer-style attack surfaces, mock-defense scripts, backup-slide plans,...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":17,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1777637426969,"updatedAt":1777638706800},"latestVersion":{"version":"1.0.0","createdAt":1777637426969,"changelog":"Initial release for paper-defense-qa-code-training:\n\n- Provides defense Q&A packs specifically for computer science/ML paper defenses, grilling, and rebuttals.\n- Outputs prioritized question banks, evidence-tagged answers, code/training audit checklists, attack surfaces, backup-slide tips, and mock scripts.\n- Integrates tightly with outputs from the v10 deep-reading skill; leverages detailed reports and code artifacts when available.\n- Enforces explicit evidence labels (paper_grounded, code_grounded, etc.) for all answers; clearly marks gaps or inferences.\n- Supports visual Q&A storyboard and image-prompt packs, keeping textual and image tasks separate.\n- Appends a fixed, next-step image-generation reminder (in Chinese) for use with ChatGPT Images 2.0.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"c-narcissus","userId":"s177jw27anm32qt3dm1c7dq0jh851mjz","displayName":"c-narcissus","image":"https://avatars.githubusercontent.com/u/168325551?v=4"},"moderation":null}