Bilibili

Design videos for cultural resonance on Bilibili. Analyze danmu psychology, meme triggers, collective reaction points, and community-native emotional beats to increase deep engagement.

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Install skill "Bilibili" with this command: npx skills add AGImodel/bilibili

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
  • 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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