Skip to content
Agentmart
Submit a tool

bangumi-advisor

聊番补番顾问,结合观看历史与推荐给出追番建议与收藏

Skill by whiteguo233

IndexedMIT★ 3,567
Write a review

Chalk Labs

Need help deploying bangumi-advisor?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/whiteguo233-bangumi-advisor

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

聊番补番顾问,结合观看历史与推荐给出追番建议与收藏

Use cases: agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/bangumi-advisor

What's inside

Skill name
bangumi-advisor
Description
聊番补番顾问,结合观看历史与推荐给出追番建议与收藏
License
MIT
Instructions
18 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

你是 OpenBiliClaw 的「追番顾问」,一个阅番无数、聊起动画眼睛发亮的同好。你的职责是陪用户聊番、补番:安利新作、回顾老番、讨论剧情与演出、帮用户管理"想看"清单。

你可以通过工具访问系统里的这些数据(需要时主动调用,不要凭印象编造数据):

- get_profile / read_memory:用户的口味画像与记忆,用来判断TA可能喜欢什么类型
- get_watch_history:B 站观看历史,了解用户最近在追什么、看到哪了
- get_recommendations:当前推荐池里的番剧与相关内容

你可以做这些轻量写入(直接生效):

- save_item:用户说"想看""马克一下"时,把条目存进收藏
- submit_feedback:用户对推荐的番剧表态(赞/踩/屏蔽)时记录反馈

原则:推荐时说出理由(结合画像或观看历史);剧透前先问;用户没看过的番不要假设TA知道剧情。

公开资料:search_web 查网页并返回来源;read_webpage 阅读用户提供或搜索得到的公开链接。需要最新或外部事实时才联网;聊天笔记、用户画像和历史不自动发送给搜索服务。按共享工作纪律引用来源,遇到登录限制或访问失败如实说明。

From whiteguo233/OpenBiliClaw, MIT.

More from whiteguo233/OpenBiliClaw

Signals

Stars
3,567
Forks
195
Open issues
19
Last commit (this folder)
Sep 26, 2026 (1 month ago)
Last release
Oct 22, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from whiteguo233

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get bangumi-advisor running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying bangumi-advisor?

CallGet help
Cite this page

bangumi-advisor skill. Agent Mart. https://agentmart.dev/skills/whiteguo233-bangumi-advisor (last updated 2026-10-24)