- 📄 SKILL.md
Send WhatsApp messages via Kapso (outbound to third parties on owner instruction)
Send WhatsApp messages via Kapso (outbound to third parties on owner instruction)
This skill should be used when the user asks about OpenClaw configuration, troubleshooting, setup, architecture, or any OpenClaw question. Triggers on "how do I configure OpenClaw", "set up telegram in OpenClaw", "gateway configuration", "OpenClaw troubleshooting", "claw advisor", "what's the best way to set up OpenClaw", "OpenClaw docs", "help me with OpenClaw", "openclaw channel setup", "debug OpenClaw", or needs guidance on OpenClaw features, channels, gateway, automation, models, or design decisions.
Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.
下载抖音视频,用 task agent 调用 doubao 完成浏览器自动化和下载
Expert in Elixir, Phoenix Framework, and OTP. Specializes in building concurrent, fault-tolerant, and real-time applications using the BEAM. Use when building Elixir applications, working with Phoenix, implementing GenServers, or designing distributed systems on the BEAM.
Trigger Pattern Always (Aptos Move) - foundational security check - Inject Into Breadth agents, depth agents
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
使用 Python + UV 读写哔哩哔哩(B 站)数据的技能,依赖 bilibili-api-python + aiohttp, 通过 browser_use get_cookies 自动获取 Cookie 完成认证,无需手动复制。 支持视频详情/字幕/AI总结/评论、用户主页、搜索、热门/排行榜、关注动态 Feed、 收藏夹、稍后再看、观看历史、互动操作(点赞/投币/三连)、动态发布与删除等。 当用户提到"B站"、"哔哩哔哩"、"bilibili"、"B站视频"、"B站热门"、"bilibili-hub"、 "获取B站数据"、"B站字幕"、"B站评论"、"B站收藏"、"B站动态", 或任何需要以编程方式读写 B 站内容的场景,必须触发本技能。 --- # bilibili-hub > **改造来源**:[jackwener/bilibili-cli](https://github.com/jackwener/bilibili-cli)(Apache-2.0) > > 本技能在原仓库基础上做了以下简化与改造: > - 移除 `browser-cookie3` / `click` / `rich` / `PyYAML` / `qrcode` 依赖 > - Cookie 认证改为直接传入 `dict` 或从环境变量读取,不做浏览器自动提取 > - 移除 CLI 层(commands/)、QR 登录、formatter 等 > - 保留全部 API 方法,统一封装为同步接口(`asyncio.run`) > - 核心依赖 `bilibili-api-python`(逆向工程 B 站 API 的第三方 SDK) > - 在 Minis 环境中,Cookie 通过 `browser_use get_cookies` 自动获取 --- ## 文件结构 ``` /var/minis/skills/bilibili-hub/ ├── SKILL.md ├── pyproject.toml # bilibili-api-python + aiohttp └── scripts/ ├── __init__.py ├── exceptions.py # 6 种结构化异常 ├── payloads.py # 数据结构规范化(normalize_* 函数) └── client.py # BiliClient 核心类(全部 API 方法) ``` --- ## 认证方式 B 站 Web API 使用三个关键 Cookie: | Cookie | 说明 | |--------|------| | `SESSDATA` | 用户 Session(必填,读操作) | | `bili_jct` | CSRF Token(写操作必填:点赞/投币/发动态等) | | `DedeUserID` | 用户 ID(建议填写) | | `buvid3` | 设备 ID(建议填写,降低风控概率) | ### 方法一:browser_use 自动获取(Minis 环境首选) 1. `browser_use navigate` 打开 `https://www.bilibili.com`,确认已登录 2. `browser_use get_cookies` 获取 Cookie(原始值不出现在对话中) 3. 加载 offload env 文件: ```bash . /var/minis/offloads/env_cookies_www_bilibili_com_xxx.sh export BILI_SESSDATA="$COOKIE_SESSDATA" export BILI_JCT="$COOKIE_BILI_JCT" export BILI_USERID="$COOKIE_DEDEUSERID" export BILI_BUVID3="$COOKIE_BUVID3" ``` > **注意**:`get_cookies` 仅对当前页面域名生效,需先 navigate 到 `https://www.bilibili.com` 再调用。 ### 方法二:手动从浏览器 DevTools 获取 1. 登录 B 站,打开 DevTools → Application → Cookies → `https://www.bilibili.com` 2. 找到 `SESSDATA`、`bili_jct`、`DedeUserID` 的值 3. 存入 Minis 环境变量:`BILI_SESSDATA` / `BILI_JCT` / `BILI_USERID` ### Cookie 传入方式(三种) ```python # 方式一:
定义了使用浏览器开发者工具进行端到端(E2E)测试的工作流,测试用例以 Markdown 文件形式记录。
Interact with Bitget Wallet API for crypto market data, token info, swap quotes, RWA (real-world asset) stock trading, and security audits. Use when the user asks about wallet, token prices, market data, swap/trading quotes, RWA stock discovery and trading, token security checks, K-line charts, or token rankings on supported chains (ETH, SOL, BSC, Base, etc.).
Run vet immediately after ANY logical unit of code changes. Do not batch your changes, do not wait to be asked to run vet, make sure you are proactive.
Battle-tested Playwright patterns for E2E, API, component, visual, accessibility, and security testing. Covers locators, fixtures, POM, network mocking, auth flows, debugging, CI/CD (GitHub Actions, GitLab, CircleCI, Azure, Jenkins), framework recipes (React, Next.js, Vue, Angular), and migration guides from Cypress/Selenium. TypeScript and JavaScript.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: