Daily Featured Skills Count
3,966 4,007 4,057 4,100 4,138 4,176 4,215
04/10 04/11 04/12 04/13 04/14 04/15 04/16
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
microsoft microsoft
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
agent add manifest

declarative-agent-developer

Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. Trigger phrases include "create agent", "create a declarative agent", "new declarative agent", "scaffold an agent", "new agent project", "make a copilot agent", "add a capability", "add a plugin", "configure my agent", "deploy my agent", "fix my agent manifest", "edit my agent", "modify my agent", "localize this agent", "localize my agent", "add localization", "translate my agent", "add a language", "multi-language agent", "add an API plugin", "add an MCP plugin", "add OAuth to my plugin", "add logo to my agent" --- # M365 Agent Developer ## ⛔ Workspace Check — MANDATORY FIRST STEP **Before doing ANYTHING, check the workspace files to fingerprint the project:** 1. Run `npx -y --package @microsoft/m365agentstoolkit-cli atk --version` to confirm ATK CLI is installed. If not found → **Stop.** Tell the user to install ATK. 2. Check for `m365agents.yml` or `teamsApp.yml` at the project root. 3. Check for `appPackage/declarativeAgent.json`. 4. Check for non-agent indicators (`package.json` with express/react/next, `src/index.js`, `app.py`, etc.) **Then follow the decision gate:** | Condition | Gate | Action | |-----------|------|--------| | Non-agent project files, no `appPackage/` | **Reject** | Text-only response. No files, no commands. | | No manifest, user wants to edit/deploy | **Reject** | Text-only response. Explain manifest is missing. | | No manifest, user wants new project | **Scaffold** | → [Scaffolding Workflow](references/scaffolding-workflow.md) | | Manifest exists with errors | **Fix** | Detect → Inform → Ask (see below). Do NOT deploy. | | Valid agent project | **Edit** | → [Editing Workflow](references/editing-workflow.md)

⬇0 ❤644 12 days ago · Uploaded Detail →
moazbuilds moazbuilds
from GitHub Tools & Productivity
  • 📄 SKILL.md
create automation command

create-skill

Create new skills for Claude Code. Use when users ask to create a skill, add a skill, make a new command, build a skill, add a slash command, create a plugin skill, or define a new automation. Trigger phrases include "create a skill", "new skill", "add a skill", "make a command", "build a skill", "I want a skill that", "add slash command", "create automation".

⬇0 ❤670 16 days ago · Uploaded Detail →
MaxMiksa MaxMiksa
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

⬇0 ❤434 4 days ago · Uploaded Detail →
luoluoluo22 luoluoluo22
from GitHub Development & Coding
  • 📁 .github/
  • 📁 assets/
  • 📁 data/
  • 📄 .editorconfig
  • 📄 .gitignore
  • 📄 .pre-commit-config.yaml
python automation jywrapper

jianying-editor

剪映 (JianYing) AI自动化剪辑的高级封装 API (JyWrapper)。提供开箱即用的 Python 接口，支持录屏、素材导入、字幕生成、Web 动效合成及项目导出。

⬇0 ❤681 17 days ago · Uploaded Detail →
citypaul citypaul
from GitHub Development & Coding
  • 📁 resources/
  • 📄 SKILL.md
typescript-strict boundaries patterns

api-design

Stable API and interface design patterns. Use when designing REST endpoints, module boundaries, component prop interfaces, or any public contract between systems. Covers contract-first development, error semantics (RFC 9457), REST conventions, pagination, idempotency, rate limiting, and backward compatibility. For TypeScript type patterns (branded types, discriminated unions, schemas), see typescript-strict. For validation at trust boundaries, see typescript-strict.

⬇0 ❤602 11 days ago · Uploaded Detail →
caliber-ai-org caliber-ai-org
from GitHub Tools & Productivity
  • 📄 SKILL.md
command commands src

adding-a-command

Creates a new CLI command following the Commander.js pattern in src/commands/. Handles command registration in src/cli.ts, telemetry tracking via tracked() wrapper, and option parsing. Use when user says 'add command', 'new CLI command', 'create subcommand', or asks to add files to src/commands/. Do NOT use for modifying existing commands or refactoring command logic.

⬇0 ❤672 17 days ago · Uploaded Detail →
alchaincyf alchaincyf
from GitHub Research & Analysis
  • 📁 assets/
  • 📁 docs/
  • 📄 README.md
  • 📄 README_EN.md
  • 📄 showcase.html
ai effectiveness hill-climbing

darwin-skill

Autonomous skill optimizer inspired by Karpathy's autoresearch. Evaluates SKILL.md files using an 8-dimension rubric (structure + effectiveness), runs hill-climbing with git version control, and validates improvements through test prompts. Use when user mentions "优化skill", "skill评分", "自动优化", "auto optimize skills", "skill质量检查", "这个skill写得不好", "帮我改改skill", "skill怎么样", "提升skill质量", "skill review", "skill打分".

⬇0 ❤219 2 days 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