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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
timothywarner-org timothywarner-org
from GitHub Content & Multimedia
  • 📄 SKILL.md
microsoft exam questions

ab100-item-creator

Generate AB-100 practice questions that feel like the real exam without copying it. Every item is grounded in current Microsoft Learn content, uses modern Microsoft product names (Microsoft Foundry, Copilot Studio, Microsoft Entra ID), and follows Microsoft-style exam item rules (scenario-first, plausible distractors, no trick wording). Use when the user asks for practice questions, quiz items, or exam prep.

⬇0 ❤17 4 days ago · Uploaded Detail →
Mann1988 Mann1988
from GitHub Business & Operations
  • 📁 references/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
mckinsey data ppt

mckinsey-consultant

McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。

⬇0 ❤34 28 days ago · Uploaded Detail →
fastxyz fastxyz
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
skill-optimizer config npx

skill-optimizer

Benchmark and optimize SDK, CLI, MCP, and prompt documentation so every LLM model can reliably call the right actions with correct arguments. Use when setting up skill-optimizer for a project, running benchmarks, interpreting results, optimizing SKILL.md files, or diagnosing configuration issues. Also use when working inside the skill-optimizer repository itself — for running against mock repos, testing changes, or understanding the codebase. --- # skill-optimizer Benchmark your SDK / CLI / MCP / prompt docs against multiple LLMs, measure whether they call the right actions with the right arguments, and iteratively rewrite your guidance until a quality floor is met across every model. ## Context Detection Before doing anything, figure out where you are: 1. **Look for `skill-optimizer.json`** (in CWD or parent directories). If found, you are in a **configured target project**. Use that file path as `<config-path>` in all commands below. 2. **Look for `src/cli.ts` and a `package.json` with `"name": "skill-optimizer"`**. If found, you are in the **optimizer repo itself**. You can use dev commands directly (`npm run build`, `npm test`, `npx tsx src/cli.ts`). To benchmark a target, either use the mock repos in `mock-repos/` or point `--config` at an external project's config. 3. **Neither found** — you are in an **unconfigured target project**. Read `references/setup.md` to scaffold a config before proceeding. ## Quick Reference | Task | Command | |------|---------| | Init config | `npx skill-optimizer init cli\|sdk\|mcp\|prompt` | | Init (non-interactive) | `npx skill-optimizer init cli --yes` | | Import CLI commands | `npx skill-optimizer import-commands --from ./src/cli.ts` | | Import (binary scrape) | `npx skill-optimizer import-commands --from my-cli --scrape` | | Diagnose config | `npx skill-optimizer doctor --config <config-path>` | | Auto-fix config | `npx skill-optimizer doctor --fix --config <config-path>` | | Dry run (no LLM calls) | `npx skill-optimizer run -

⬇0 ❤31 16 days ago · Uploaded Detail →
jiji262 jiji262
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 accounts.yaml.example
  • 📄 README.md
accounts.yaml 微信公众号文章自 用户提到

wechat-publisher

微信公众号文章自动创作与发布工具。给定参考文章、文字或文档，自动搜索整理全网相关信息，使用 baoyu-infographic 生成手绘风格配图，生成图文并茂的公众号文章，并发布到微信公众号草稿箱。 触发场景（只要沾边就该使用本skill）： - 用户提到"公众号"、"微信文章"、"推文"、"公号"、"发文"、"mp"等关键词 - 用户要求写文章并发布到微信 - 用户提供参考素材并希望生成公众号内容 - 用户希望把文档/笔记转为微信公众号文章 - 用户要求搜索某个话题并写成公众号文章 - 用户提到"草稿箱"、"群发"等微信公众号相关操作 - 用户要求写一篇适合在微信上传播的文章 --- # 微信公众号文章自动创作与发布 本skill实现从素材输入到公众号草稿箱的完整自动化流程。核心价值在于：用户只需要提供一个话题或几篇参考资料，skill就能自动完成搜索调研、撰写文章、生成配图、排版美化、上传发布的全部环节。 **默认作者：飞哥**（除非用户另行指定） ## 前置条件检查 在开始任何工作之前，先检查环境是否就绪： **第一步：检查账号配置** 支持两种配置方式： **方式一：`accounts.yaml` 多账号配置（推荐）** 在工作目录下创建 `accounts.yaml`（参考 `accounts.yaml.example`）： ```yaml

⬇0 ❤34 1 month ago · Uploaded Detail →
chingswy chingswy
from GitHub Development & Coding
  • 📄 LICENSE.txt
  • 📄 SKILL.md
frontend components design

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

⬇0 ❤34 1 month ago · Uploaded Detail →
maplibre maplibre
from GitHub Testing & Security
  • 📄 AGENTS.md
  • 📄 SKILL.md
maplibre mapbox equivalents

maplibre-mapbox-migration

Migrating from Mapbox GL JS to MapLibre GL JS — package and import changes, removing the access token, choosing tile sources, plugin equivalents, and what you gain or give up. Use when moving an existing Mapbox map to MapLibre.

⬇0 ❤34 1 month ago · Uploaded Detail →
sacenox sacenox
from GitHub Tools & Productivity
  • 📄 SKILL.md
release version publish

release

Create a new tagged npm release (patch/minor/major). Use when the user asks to release, publish, bump version, or cut a new version. Triggers on: release, publish, bump, version, tag.

⬇0 ❤34 1 month ago · Uploaded Detail →
k-kohey k-kohey
from GitHub Content & Multimedia
  • 📄 SKILL.md
design image match

fix-ui

Iteratively fix a SwiftUI View to match a design image. Captures previews with axe, compares against the target design, and modifies the code until the UI matches. Use when the user provides a design image and wants the View adjusted to match it.

⬇0 ❤34 1 month ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up