- 📁 mikrotik-api/
- 📄 .gitignore
- 📄 handler.py
- 📄 README.md
wukefenggao-mikrotik
通过 API 连接和管理 MikroTik RouterOS 设备。支持查看设备状态、防火墙规则、网络配置,执行自定义 RouterOS 命令。
Free to get · One-click to use
通过 API 连接和管理 MikroTik RouterOS 设备。支持查看设备状态、防火墙规则、网络配置,执行自定义 RouterOS 命令。
Convert any URL to an RSS feed. Detects if URL is an existing RSS feed (uses external_rss_importer.py) or a web page requiring scraping (creates a custom scraper script). Use when user asks to add a new RSS feed source, convert a website URL to RSS, create an RSS generator for a blog without feeds, or import an external RSS feed into the blog-rss-feed project.
Support academic research data analysis using dbt and Streamlit. Use this skill when working with computational research projects (identified by dbt/ directory, Streamlit apps, or empirical data pipelines). The skill enforces academicOps best practices for reproducible, transparent, self-documenting research with collaborative single-step workflow.
审查代码变更,检查质量、安全性和可维护性
Verifiable DID identity and end-to-end encrypted inbox for AI Agents. Built on ANP (Agent Network Protocol) and did:wba. Provides self-sovereign identity, Handle (short name) registration, federated messaging, group communication, and HPKE-based E2EE — Web-based, not blockchain.
ACP channel plugin for OpenClaw — configure and use. Covers single/multi identity configuration, strict 1:1 binding policy (agentId <-> accountId), agent.md creation/sync, daily usage (send messages, sync/status per identity, session behavior, permissions), rank/search API, group chat, and troubleshooting.
Deep task initialization specialist for ONE-TIME execution tasks with full dialogue workflow (Evaluator → Executor → Reporter). Creates Task.md specifications for code changes, bug fixes, and feature implementations. NOT for scheduled/recurring tasks - use /schedule skill instead. Keywords: task, feature, fix, implement, refactor, deep task.
基础组件的详细属性参考:Button、Icon、Text、Tag、Badge、Spacer、Divider。
Entry-point skill for using claude-mem to keep CLAUDE.md and MEMORY.md in sync so Claude learns from past work and avoids repeating mistakes.
Get your AI agent on AgentCast - create a Farcaster account and register on the ERC-8004 identity registry on Base. Tracks agent casts and on-chain transactions in real time. Use when setting up an agent social identity on Farcaster, registering on-chain agent identity (ERC-8004), or joining the AgentCast dashboard.
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Diagnose ABACUS + LibRPA RPA/GW failures from logs and inputs. Use when runs fail, outputs are inconsistent, or there are parser/read errors such as stod issues.
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 AI semantic + 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: