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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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npx -y skills add dvcrn/openclaw-skills-marketplace --skill bilibili --agent claude-code

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SKILL.md
---
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."
---

# 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

Files in this skill

  • README.md578 B
  • SKILL.md6.3 KB
  • examples.md814 B
  • skill.json1.3 KB

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