Libtv Skill

What it does

Example prompts

• “把纸船换成爱心”
• “这个视频帮我改一下”
• “帮我复刻这段视频”
• “/libtv-skill”

Requirements

• Python 3
• A credential in LIBTV_ACCESS_KEY

Workflow steps

5 steps, taken from the step headings in SKILL.md.

1. 1创建会话 / 发送消息
2. 2查询会话进展
3. 3切换项目
4. 4上传文件
5. 5下载结果

What it can do on your machine

Read from SKILL.md and the folder at commit c609246. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 6 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • liblib.tv
  • libtv-res.liblib.art
  • im.liblib.tv

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • LIBTV_ACCESS_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Libtv Skill loads about 1.7k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 234 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~99

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from libtv-labs/libtv-skills at commit c609246, republished under its MIT licence (© libtv-labs). 234 words, ~1,709 tokens.

name

libtv-skill

description

agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括：生成（文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx）、编辑修改（把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头）、风格转换（风格迁移、转绘、换风格）、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断：只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改，无论措辞如何（如"画只猫"、"做个海报"、"把纸船换成爱心"、"这个视频帮我改一下"、"帮我复刻这段视频"、"用这首歌做个MV"、"一句话生成短剧"），都必须触发此技能。

user-invocable

true

export LIBTV_ACCESS_KEY="your-access-key"

# 创建新会话并发送「生一个动漫视频」
python3 {baseDir}/scripts/create_session.py "生一个动漫视频"

# 向已有会话发送消息
python3 {baseDir}/scripts/create_session.py "再生成一张风景图" --session-id SESSION_ID

# 只创建/绑定会话，不发消息
python3 {baseDir}/scripts/create_session.py

# 查询会话消息列表
python3 {baseDir}/scripts/query_session.py SESSION_ID

# 增量拉取（只返回 seq 大于 N 的消息）
python3 {baseDir}/scripts/query_session.py SESSION_ID --after-seq 5

# 附带项目地址（传入 create_session 返回的 projectUuid，结果中带 projectUrl）
python3 {baseDir}/scripts/query_session.py SESSION_ID --project-id PROJECT_UUID

# 切换当前 accessKey 绑定的项目（后续创建会话将使用新项目）
python3 {baseDir}/scripts/change_project.py

# 上传图片
python3 {baseDir}/scripts/upload_file.py /path/to/image.png

# 上传视频
python3 {baseDir}/scripts/upload_file.py /path/to/video.mp4

# 从会话自动提取并下载所有结果
python3 {baseDir}/scripts/download_results.py SESSION_ID

# 指定输出目录
python3 {baseDir}/scripts/download_results.py SESSION_ID --output-dir ~/Desktop/my_project

# 指定文件名前缀（如 storyboard_01.png, storyboard_02.png ...）
python3 {baseDir}/scripts/download_results.py SESSION_ID --prefix "storyboard"

# 直接下载指定 URL 列表（不需要 session_id）
python3 {baseDir}/scripts/download_results.py --urls URL1 URL2 URL3 --output-dir ./output

1. create_session.py "用户的描述"  →  拿到 sessionId + projectUuid
2. 每隔 8 秒调用 query_session.py SESSION_ID --after-seq 0 轮询
3. 检查 messages：当出现 assistant 角色的消息且包含图片/视频 URL → 任务完成
4. 自动下载：download_results.py SESSION_ID --output-dir ~/Downloads/项目名 --prefix 有意义的前缀
5. 向用户展示：本地文件列表 + projectUrl（画布链接）

1. upload_file.py /path/to/video.mp4  →  拿到 OSS URL
2. create_session.py "把四周的纸船都换成白色的纸爱心 参考视频：{oss_url}"
3. 后续同场景 1 的步骤 2-5

1. upload_file.py /path/to/ref.png  →  拿到 OSS URL
2. create_session.py "根据参考图生成xxx，参考图：{oss_url}"
3. 后续同场景 1 的步骤 2-5

1. create_session.py "新的描述" --session-id SESSION_ID
2. 后续同场景 1 的步骤 2-5

{
  "projectUuid": "aa3ba04c5044477cb7a00a9e5bf3b4d0",
  "sessionId": "90f05e0c-...",
  "projectUrl": "https://www.liblib.tv/canvas?projectId=aa3ba04c5044477cb7a00a9e5bf3b4d0"
}

{
  "messages": [
    {"id": "msg-xxx", "role": "user", "content": "生一个动漫视频"},
    {"id": "msg-yyy", "role": "assistant", "content": "..."}
  ],
  "projectUrl": "https://www.liblib.tv/canvas?projectId=..."
}

{
  "projectUuid": "新项目UUID",
  "projectUrl": "https://www.liblib.tv/canvas?projectId=新项目UUID"
}

{
  "url": "https://libtv-res.liblib.art/claw/{projectUuid}/{uuid}.png"
}

{
  "output_dir": "/Users/xxx/Downloads/libtv_results",
  "downloaded": ["/Users/xxx/Downloads/libtv_results/01.png", "..."],
  "total": 9
}

用户说：「帮我推演后续的故事，来个分镜大爆炸，帮我出一个16:9的九宫格的图。新建一个任务。」
用户给了参考图：/path/to/ref.png

→ upload_file.py /path/to/ref.png  →  拿到 oss_url
→ create_session.py "帮我推演后续的故事，来个分镜大爆炸，帮我出一个16:9的九宫格的图。参考图：{oss_url}"
→ 轮询 → 下载 → 展示

❌ 用户侧自己先写了个九宫格分镜表（对峙、交锋、危机...）
❌ 然后把自己编的描述发给后端
❌ 或者拆成9次 create_session 分别发送

© libtv-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts) in skills/libtv-skill of libtv-labs/libtv-skills.

• SKILL.md
• scripts/_common.py
• scripts/change_project.py
• scripts/create_session.py
• scripts/download_results.py
• scripts/query_session.py
• scripts/upload_file.py

Open the folder on GitHubat commit c609246

Used in 2 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in libtv-labs/libtv-skills, which our catalogue first saw on October 7, 2026.

• aiskillstore/marketplaceskills/libtv-labs/libtv-skill
• infometa/workbuddyskillsskills/libtv-skillexperts/tik-tok-strategist/skills/libtv-skill+1 more