Skill: agimodel/bilibili (version 1.0.0)

--- name: Bilibili description: > Design videos for cultural resonance on Bilibili. Analyze danmu psychology, meme triggers, collective reaction points, and community-native emotional beats to increase deep engagement. version: 1.0.0 --- # Bilibili > **A good Bilibili video does not just get watched. It gets answered by the crowd.** Bilibili is a cultural resonance engine for danmu-native video design. This skill is built for creators who want more than views. It is for videos that trigger: - collective commentary - synchronized reactions - community jokes - quote-worthy moments - repeatable meme energy - “I need to send this to a friend” resonance Use this skill when you need to: - design stronger danmu moments - plant collective reaction triggers inside a video - identify where a viewer will want to吐槽, 共鸣, 站队, or刷梗 - turn a script into a Bilibili-native engagement structure - build deeper community participation instead of passive viewing This skill does NOT: - guarantee virality - replace editing, filming, or thumbnail design - optimize for every platform equally - act as a generic short-video growth hack tool --- ## What This Skill Does Bilibili helps: - identify likely danmu trigger points - design “槽点”, “梗点”, and “共鸣点” - structure videos for community response rather than passive consumption - improve comment, danmu, and rewatch potential - turn one-way content into two-way crowd participation --- ## Best Use Cases - ACG / 二次元 / 游戏内容 - commentary and reaction-driven videos - campus / youth culture content - emotionally resonant storytelling - meme-heavy editing plans - script review for Bilibili-native engagement - finding “名场面” insertion points --- ## What to Provide Useful input includes: - video topic - script or outline - target audience - intended tone - whether the goal is 搞笑, 共鸣, 吐槽, 热血, 反转, or discussion - where you think the current weak parts are - whether you want script help, beat design, or danmu trigger analysis --- ## Standard Output Format BILIBILI RESONANCE ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Video Goal: [What reaction this video should create] Audience Mode: [Who this is for] Resonance Type: [吐槽 / 梗 / 共情 / 站队 / 高能 / 名场面] CORE TRIGGERS ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [Trigger point 1] — [why viewers will respond] - [Trigger point 2] — [why viewers will respond] - [Trigger point 3] — [why viewers will respond] DANMU MOMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━ [Timestamp / segment idea] → [Likely danmu reaction] [Timestamp / segment idea] → [Likely danmu reaction] [Timestamp / segment idea] → [Likely danmu reaction] RESONANCE RISKS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Too flat] ⚠️ [Too generic] ⚠️ [No shared emotional hook] ⚠️ [No meme or reaction anchor] RECOMMENDED FIXES ━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. [How to sharpen the槽点] 2. [How to create a stronger梗点] 3. [How to improve collective reaction probability] NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [What to rewrite / add / cut / exaggerate next] --- ## Danmu Psychology Lens When analyzing a Bilibili video, ask: - Where will viewers feel “I need to say something here”? - Where does the content invite collective emotion rather than solo viewing? - Is there a shared joke, contradiction, or emotional spike strong enough to trigger live response? - Does the video contain moments that are easy to quote, repeat, or mimic? - Is there a “群体观看感” or is it just a normal video placed on Bilibili? --- ## Resonance Principles - community reaction beats passive clarity - collective emotion is stronger than isolated information - meme potential often starts from contrast, exaggeration, or recognizable pain - a weak槽点 produces silence - a strong共鸣点 makes viewers feel seen - a good名场面 is legible within seconds - danmu is not decoration; it is part of the content layer --- ## Execution Protocol (for AI agents) When user asks for Bilibili-oriented content help, follow this sequence: ### Step 1: Parse content intent Extract: - topic - audience - emotional goal - format - current script or outline - what kind of resonance is desired ### Step 2: Identify reaction architecture Classify desired engagement: - 吐槽 - 梗 - 共情 - 反转 - 热血 - 站队 - 名场面 ### Step 3: Find response gaps Check whether the content lacks: - clear trigger points - emotional peaks - community-native references - quotable lines - contradiction or tension - reward for audience participation ### Step 4: Design danmu moments Suggest: - where viewers will likely comment - what style of reaction is likely - what line, beat, cut, or image should be sharpened ### Step 5: Improve resonance Return: - strongest reaction points - weak areas causing silence - edits that improve collective response - whether the content fits Bilibili specifically or feels cross-platform generic ### Step 6: Guardrails If content depends on trends, niche fandom knowledge, or platform-specific references not provided: - say so clearly - do not fake cultural certainty - ask for more audience context if needed --- ## Activation Rules (for AI agents) ### Use this skill when the user asks about: - Bilibili content strategy - danmu-friendly video design - meme triggers in videos - collective audience reaction - 共鸣 / 吐槽 / 梗点 design - how to make a video more B站-native ### Do NOT use this skill when: - the user only wants generic SEO advice - the user is asking about pure editing software setup - the user wants a broad multi-platform strategy with no Bilibili-specific angle - the user needs ad-buying or paid traffic mechanics ### If context is ambiguous Ask: "Do you want a Bilibili-native resonance design, or just general video optimization?" --- ## Boundaries This skill supports Bilibili-native engagement design and resonance analysis. It does not replace: - editing execution - community moderation - copyright review - platform policy interpretation - paid traffic strategy


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