Use when you want your product to surface in AI-generated answers (ChatGPT, Perplexity, Gemini) — creates llms.txt, optimizes structured data, and configures AI crawler access for GEO.
Review code changes for quality, security, and correctness. Use when the user says "review this PR", "review these changes", "check my code", "look at what I changed", or after implementing a feature. Produces a severity-organized report.
Neues Projekt im aktuellen Workspace verknüpfen — nur Projekt-ID in project.json schreiben
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," or "how long should I run this test." Use this whenever someone is comparing two approaches and wants to measure which performs better. For tracking implementation, see analytics-tracking. For page-level conversion optimization, see page-cro.
This skill should be used when the user asks to \"commission a workflow\", \"create a workflow\", \"design a workflow\", \"launch a workflow\", or wants to interactively design and generate a plain text workflow with stages, entities, and a first-officer agent.
Employee agent lifecycle management system. Use when working with agents/ directory employee agents - starting, stopping, monitoring, or assigning tasks to Dev/QA agents running in tmux sessions. Completely independent of CAO, uses only tmux + Python.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of \"Word doc\", \"word document\", \".docx\", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a \"report\", \"memo\", \"letter\", \"template\", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, or general coding tasks unrelated to document generation.
Use when a user gives one or many WeChat or Xiaohongshu links and wants the parsed notes saved to a specific local path without relying on the Obsidian plugin UI. This skill wraps the repository's import capability as a direct agent tool through the bundled script, including batch import, frontmatter generation, media download, and JSON result reporting.
AI Builder の AI プロンプト（GPT Dynamic Prompt）を Dataverse API で作成し、Copilot Studio エージェントにツール（アクション）として追加する。
使用 gdb-cli 工具调试 Database core dump 文件时触发。当用户提到 core dump、coredump、崩溃分析、server 崩溃、段错误、SIGSEGV、SIGABRT、堆栈分析等关键词时使用。
Transform Chinese text into Chinglish (中式英語) — English that is heavily influenced by Chinese grammar, word order, and thought patterns, producing the characteristic "中式英文" style found on signs, menus, instructions, and everyday speech. Can also take English text and re-render it through a Chinese-thinking lens to produce Chinglish. Applies a 25-item checklist covering article errors, copula dropping, topic-comment structure, verb confusion, literal calques, tense flattening, and more. Useful for humor, creative writing, language education, or demonstrating L1 transfer patterns. Triggers on "/chinglish", "寫成中式英文", "翻成中式英語", "Chinglish化", "translate to chinglish", "make it chinglish", "chinglish this", "中式英文".
Cross-product troubleshooting of user connectivity issues spanning ZPA, ZIA, ZDX, and ZCC. Investigates end-to-end: (1) ZCC client status and enrollment, (2) ZDX digital experience scores and metrics, (3) ZPA application segment and access policy configuration, (4) ZIA URL filtering and SSL inspection policies. Use when an administrator reports 'user cannot access application', 'connectivity issues', or 'application is slow.
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:
