Provides comprehensive guidance for Electron framework including main process, renderer process, IPC communication, window management, and desktop app development. Use when the user asks about Electron, needs to create desktop applications, implement Electron features, or build cross-platform desktop apps.
Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).
跨学科专家研究方法。描述如何从网上的信息去采集、分析最靠谱、最真实的数据并进行分析研究的方法论框架。
HyperDbg Rust 驱动开发完整指南。包含 C++ 代码复刻、Rust 驱动开发、类型同步、编译验证等。在需要开发或维护 HyperDbg_rust 驱动时调用。
サイト記事・設定のメンテナンス。新規ブログ記事の作成、記事の公開/非公開切替、タイトルや説明文の編集、記事削除、サイト名などの設定変更を対話的に行う。最後にユーザー確認のうえ git push でサイトに反映させる。記事管理・ブログ管理・サイト名変更・公開切替などの際に使用。
Use when asked to "review recent changes", "chunk review", "review my diff", "review this PR", "review PR #123", "review PR <url>", "review my changes", or asks for a code review using the team's review prompt. Supports GitHub PRs via `gh pr diff` and local diffs. Applies team-specific review standards from the .chunk/context/review-prompt.md file.
Core routing and troubleshooting skill for Apple Flow gateways (Mail, Reminders, Notes, Calendar). Use when deciding which `apple-flow tools` command to run, applying shared safety rules, or debugging gateway permissions/resource-name mismatches.
Build the EXE and distribution package. Use when the user wants to create a release build.
Build, validate, and manage semantic models using Sidemantic. Use when asked to create a semantic layer, define metrics/dimensions, model a database schema, generate models from SQL queries, import from Cube/dbt/LookML, or set up analytics definitions. Prioritizes CLI-first workflows, with YAML and optional Python API usage for advanced automation.
钉钉 AI 表格（多维表）操作技能。使用 mcporter CLI 连接钉钉官方新版 AI 表格 MCP server，基于 baseId / tableId / fieldId / recordId 体系执行 Base、Table、Field、Record 的查询与增删改。适用于创建 AI 表格、搜索表格、读取表结构、批量增删改记录、批量建字段、更新字段配置、按模板建表等场景。需要配置 DINGTALK_MCP_URL 或直接使用 Streamable HTTP URL。
Format and lint markdown and MDX files using markdownlint with comprehensive rule knowledge for automated and manual fixes. Use when working with .md or .mdx files, formatting documentation, linting markdown/MDX, or when user mentions markdown issues, formatting problems, or documentation standards.
Deploy and manage user applications as managed systemd services
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:
