Browse Skills

A methodology for writing interactive game dialogue, covering character voice design, choice psychology, bark systems, and cutscene direction. Use when crafting NPC conversations, dialogue trees, or story-driven choice design.

A full narrative pipeline where an agent team collaborates to design game story, quests, dialogue, and branching scenarios. Use for game world-building, quest design, dialogue writing, and branching narrative design.

Provides a 12-archetype methodology for brand personality design, tone-and-voice mapping, and storytelling frameworks, used by brand strategists and copywriters.

A systematic brand naming methodology covering 12 naming techniques, phonological analysis, trademark/domain pre-screening, and global suitability evaluation. Used for developing and evaluating brand names for startups, products, or companies.

Provides structured frameworks for constructing arguments and rebuttals using the Toulmin model, evidence classifications, and rebuttal strategies for debate agents.

Helps draft a short AAAI author response after reviews are released. It prioritizes factual corrections, handles AI-generated review points, and follows AAAI limits like no URLs and no new results.

Prepares accepted AAAI papers for camera-ready submission to AAAI Press, including page limit compliance, template formatting, copyright transfer, deanonymization, and final artifact release.

Helps craft AAAI papers' related-work sections that clearly distinguish novelty from archival and contemporaneous work, addressing reviewer expectations across AAAI's broad AI scope and adhering to dual-submission and citation policies.

Helps authors understand and plan for AAAI's two-phase review, including Phase 1 summary rejection risks, AI-assisted review pilot, and author feedback strategies.

Guides structuring AAAI supplementary material—deciding what belongs in the main paper, technical appendix, multimedia, and code/data ZIP—while ensuring anonymity and immutability compliance.

Guides researchers in evaluating whether their AI project is a strong fit for AAAI or should be routed to a more specialized conference, considering contribution type and evidence.

Helps revise AAAI manuscripts to be readable by a broad AI audience, with clear first-page contributions, two-column readability, and alignment with reproducibility and ethical guidelines.