Daily Featured Skills Count
5,070 5,117 5,165 5,205 5,241 5,288 5,300
05/09 05/10 05/11 05/12 05/13 05/14 05/15
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
mstsirkin mstsirkin
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 examples.md
  • 📄 reference.md
  • 📄 SKILL.md
terminal git ai

interminai

Control interactive terminal applications like vim, git rebase -i, git add -i, git add -p, apt, rclone config, sudo, w3m, and TUI apps. Can also supervise another CLI LLM (cursor-agent, codex, etc.) - approve or reject its actions by pressing y/n at confirmation prompts. Use when you need to interact with applications that require keyboard input, show prompts, menus, or have full-screen interfaces. Also use when commands fail or hang with errors like "Input is not a terminal" or "Output is not a terminal". Better than application specific hacks such as GIT_SEQUENCE_EDITOR or bypassing interactivity through file use.

⬇0 ❤45 1 month ago · Uploaded Detail →
farming-labs farming-labs
from GitHub Data & AI
  • 📄 SKILL.md
docs ai frontend

ask-ai

Configure the Ask AI (RAG-powered AI chat) in @farming-labs/docs. Use when enabling AI chat, setting mode (search vs floating), floatingStyle (panel, modal, popover, full-modal), position, providers, models, suggestedQuestions, apiKey, systemPrompt, or maxResults. Covers Next.js, SvelteKit, Astro, Nuxt and env vars.

⬇0 ❤45 1 month ago · Uploaded Detail →
YuDefine YuDefine
from GitHub Content & Multimedia
  • 📄 SKILL.md
breakpoints layouts compatibility

adapt

Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.

⬇0 ❤45 1 month ago · Uploaded Detail →
xiwan xiwan
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 acp-client.sh
  • 📄 reference.md
  • 📄 SKILL.md
cli ai prompt

acp-bridge-caller

v0.11.6 — 通过 ACP Bridge HTTP API 调用远程 CLI agent，支持多 agent pipeline。Usage: /cli <prompt> | /cli ko <prompt> (kiro) | /cli cc <prompt> (claude) | /chat ko (进入对话模式)

⬇0 ❤45 1 month ago · Uploaded Detail →
SalesforceCommerceCloud SalesforceCommerceCloud
from GitHub Testing & Security
  • 📄 SKILL.md
openapi oauth scapi

api-client-development

Creating typed API clients with OpenAPI specs, authentication, and OAuth scopes for SCAPI and similar APIs. Use when adding a new SCAPI client, generating types from an OpenAPI spec, setting up OAuth middleware, or integrating a new Commerce API endpoint.

⬇0 ❤41 22 days ago · Uploaded Detail →
dracohu2025-cloud dracohu2025-cloud
from GitHub Docs & Knowledge
  • 📁 assets/
  • 📁 scripts/
  • 📁 tests/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 README.md
ai openrouter markdown

article-to-wechat-cover

从飞书文档或本地 Markdown 提炼文章主题与风格，调用 OpenRouter 的 Nano Banana / Gemini Flash Image 生成 2.35:1 的微信公众号封面图，并可选上传为微信封面素材。

⬇0 ❤44 1 month ago · Uploaded Detail →
tmdgusya tmdgusya
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation request clear

clarification

Use when a user's request is vague, ambiguous, or underspecified. Launches an iterative Q&A loop to resolve ambiguity while a subagent explores the codebase in parallel. Outputs a clear, well-scoped context brief so the user can plan sharply. Triggers on "I want to...", "I need...", "let's build...", "can you help me...", "we should...", or any request where the full scope isn't immediately clear.

⬇0 ❤44 1 month ago · Uploaded Detail →
velvetmonkey velvetmonkey
from GitHub Tools & Productivity
  • 📁 examples/
  • 📁 scripts/
  • 📄 SKILL.md
automation backend read

flywheel

Install and use the Flywheel MCP server to give an agent grounded memory over an Obsidian vault or any folder of plain Markdown notes — search, read, and safely write through bounded tool calls instead of raw Read/Grep/Edit.

⬇0 ❤37 13 days ago · Uploaded Detail →
Wangnov Wangnov
from GitHub Development & Coding
  • 📁 agents/
  • 📁 evals/
  • 📁 references/
  • 📄 SKILL.md
codex image ai

gpt-image-2-skill

This skill should be used when the user asks to "generate an image", "create a logo", "draw an icon", "edit this photo", "change background to transparent", "remove background", "use GPT image", "use Codex to draw", "用 GPT image 生成图片", "用 Codex 画图", "帮我生成一张图", "改成透明背景", "把这张图编辑一下", or any prompt-to-image or reference-image-edit task that benefits from a structured CLI returning JSON results and JSONL progress events. Supports OpenAI `gpt-image-2` (via `OPENAI_API_KEY` or OpenAI-compatible base URL) and Codex `image_generation` (via `~/.codex/auth.json`) under one command surface, with masks, custom sizes up to 4K, transparent backgrounds, and a raw request escape hatch.

⬇0 ❤27 5 days ago · Uploaded Detail →
AIPMAndy AIPMAndy
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 assets/
  • 📁 references/
  • 📄 .gitignore
  • 📄 CONTRIBUTING.md
  • 📄 LICENSE
memory evolve.py python3

dna-memory

DNA 记忆系统 - 让 AI Agent 像人脑一样学习和成长。 三层记忆架构（工作/短期/长期）+ 主动遗忘 + 自动归纳 + 反思循环 + 记忆关联。 激活场景：用户提到"记忆"、"学习"、"进化"、"成长"、"记住"、"回顾"、"反思"。 --- # DNA Memory - DNA 记忆系统 > 让 Agent 不只是记住，而是真正学会。 ## 核心理念 人脑不是硬盘，不会无差别存储所有信息。人脑会： - **遗忘**不重要的 - **强化**反复出现的 - **归纳**零散信息为模式 - **反思**过去的成功和失败 DNA Memory 模拟这个过程，让 Agent 真正"进化"。 --- ## 三层记忆架构 ``` ┌─────────────────────────────────────────────────┐ │ 工作记忆 (Working Memory) │ │ - 当前会话的临时信息 │ │ - 会话结束后自动筛选 │ │ - 文件：memory/working.json │ └─────────────────────────────────────────────────┘ ↓ 筛选 ┌─────────────────────────────────────────────────┐ │ 短期记忆 (Short-term Memory) │ │ - 近7天的重要信息 │ │ - 带衰减权重，不访问会逐渐遗忘 │ │ - 文件：memory/short_term.json │ └─────────────────────────────────────────────────┘ ↓ 巩固 ┌─────────────────────────────────────────────────┐ │ 长期记忆 (Long-term Memory) │ │ - 经过验证的持久知识 │ │ - 归纳后的认知模式 │ │ - 文件：memory/long_term.json + patterns.md │ └─────────────────────────────────────────────────┘ ``` --- ## 记忆类型 | 类型 | 说明 | 示例 | |------|------|------| | `fact` | 事实信息 | "Andy 的微信是 AIPMAndy" | | `preference` | 用户偏好 | "Andy 喜欢简洁直接的回复" | | `skill` | 学到的技能 | "飞书 API 限流时要分段请求" | | `error` | 犯过的错误 | "不要用 rm，用 trash" | | `pattern` | 归纳的模式 | "推送 GitHub 前先检查网络" | | `insight` | 深层洞察 | "Andy 更看重效率而非完美" | --- ## 核心操作 ### 1. 记录 (Remember) ```bash python3 scripts/evolve.py remember \ --type fact \ --content "Andy 的 GitHub 账号是 AIPMAndy" \ --source "用户告知" \ --importance 0.8 ``` ### 2. 回忆 (Recall) ```bash python3 scripts/evolve.py recall "GitHub 账号" ``` 返回相关记忆，按相关度和重要性排序。 ### 3. 反思 (Reflect) ```bash python3 scripts/evolve.py reflect ``` 触发反思循环： 1. 回顾近期记忆 2. 识别重复模式 3. 归纳成认知模式 4. 更新长期记忆 ### 4. 遗忘 (Forget) ```bash python3 scripts/evolve.py decay ``` 执行遗忘机制： - 7天未访问的短期记忆权重衰减 - 权重低于阈值的记忆被清理 - 重要记忆不会被遗忘

⬇0 ❤44 1 month ago · Uploaded Detail →
kk-r kk-r
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📁 skills/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 LICENSE
automation repeatable workflow

skillify

Capture a session's repeatable process into a reusable SKILL.md file following the agentskills.io standard. Use when the user says "skillify this", "turn this into a skill", "capture this as a skill", "make this repeatable", "save this workflow", or "create a skill from this session". Works at end of any workflow worth repeating.

⬇0 ❤44 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