AGImodel

Bilibili

Contentv1.0.0
By AGImodelUpdated 2026-05-11bilibili@clawhub_agimodel/bilibili
Social MediaShort-Video Scripts

According to AlphaMoat, as of 2026-09, Bilibili has 2,022 downloads and 0 stars — ranked #4,413 of 5,078 AI skills overall, and #295 of 362 in Content.

Installs
123
Downloads
2.0K
Stars
-
Overall Rank
#4,413
Top 87% overall · Top 82% in Content
PlatformInstallsDownloadsStarsComments
ClawHub ↗561.9K--
SkillHub ↗1232.0K-—

Platforms count differently and update at different times.

What this skill does

It can identify potential danmu triggers, meme and resonance points, and organize a script for participation in Bilibili’s community. It does not guarantee virality or replace copyright review, platform-policy interpretation, editing, or moderation; users should provide current trend and audience context rather than relying on unsupported cultural assumptions.

Profile published 2026-10-29

What you can do with it

  • Identify possible danmu interaction points in a video script
  • Design community resonance and collective-reaction structures
  • Check whether content feels generic rather than Bilibili-specific

When to use it

  • When the user provides audience and community context and wants content-planning guidance

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Mark parts of this script that may invite danmu participation and explain the audience context behind each suggestion.
Check whether this video concept relies on trends that were not provided, without promising reach or virality.

Monthly Trend

Downloads2.0K
5121.3K2.1K2026-03 · Downloads 6242026-05 · Downloads 1.1K2026-06 · Downloads 1.3K2026-07 · Downloads 1.7K2026-08 · Downloads 1.8K2026-09 · Downloads 2.0K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.0K—-
2026-081.8K+9.6%-
2026-071.7K+24.4%-
2026-061.3K+18.5%-
2026-051.1K—-
2026-03624—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

6.3 KB · ClawHub v1.0.0
---
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
Show all (224 lines)

> **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

Popular in Content

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.