Daily Featured Skills Count
4,138 4,176 4,215 4,256 4,301 4,343 4,377
04/14 04/15 04/16 04/17 04/18 04/19 04/20
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

6551Team 6551Team
from GitHub Tools & Productivity
  • 📄 package.json
  • 📄 SKILL.md

opennews

Real-time crypto & financial news aggregator — 72+ data sources across 5 categories (News: Bloomberg, Reuters, FT, CNBC, CoinDesk, Twitter/X + 47 more; Listing: Binance, Coinbase, OKX + 6 more; OnChain: whale & KOL trades; Meme: social sentiment; Market: price/funding/liquidation alerts). AI-analyzed with impact score, trading signals, and bilingual summaries. **Free tools available without token**.

0 727 20 days ago · Uploaded Detail →
cyberkaida cyberkaida
from GitHub Development & Coding
  • 📄 SKILL.md

binary-triage

Performs initial binary triage by surveying memory layout, strings, imports/exports, and functions to quickly understand what a binary does and identify suspicious behavior. Use when first examining a binary, when user asks to triage/survey/analyze a program, or wants an overview before deeper reverse engineering.

0 675 15 days ago · Uploaded Detail →
MadAppGang MadAppGang
from GitHub Data & AI
  • 📄 SKILL.md

claudish-usage

CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, Gemini, OpenAI, Ollama, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.

0 705 20 days ago · Uploaded Detail →
wentorai wentorai
from GitHub Data & AI
  • 📄 SKILL.md

academic-deep-research

Methodical research assistant for exhaustive investigations through systematic research cycles. Best for literature reviews, competitive analysis, trend reports, and comprehensive topic exploration.

0 695 20 days ago · Uploaded Detail →
jezweb jezweb
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md

cloudflare-api

Hit the Cloudflare REST API directly for operations that wrangler and MCP can't handle well. Bulk DNS, custom hostnames, email routing, cache purge, WAF rules, redirect rules, zone settings, Worker routes, D1 cross-database queries, R2 bulk operations, KV bulk read/write, Vectorize queries, Queues, and fleet-wide resource audits. Produces curl commands or scripts. Triggers: 'cloudflare api', 'bulk dns', 'custom hostname', 'email routing', 'cache purge', 'waf rule', 'd1 query', 'r2 bucket', 'kv bulk', 'vectorize query', 'audit resources', 'fleet operation'.

0 688 20 days ago · Uploaded Detail →
Innei Innei
from GitHub Docs & Knowledge
  • 📁 scripts/
  • 📄 config.example.yaml
  • 📄 SKILL.md

working-summary

Use when the user asks for a work summary, weekly report, 工作总结,周报,working summary, or sprint/period recap. Aggregates GitHub PR/commit/issue activity from configured repos, optionally reads Linear cycle issues via MCP, honors Chinese public holidays, and produces a markdown report. Default range is the previous Mon-Sun week.

0 14 just now · Uploaded Detail →
luoluoluo22 luoluoluo22
from GitHub Development & Coding
  • 📁 .github/
  • 📁 assets/
  • 📁 data/
  • 📄 .editorconfig
  • 📄 .gitignore
  • 📄 .pre-commit-config.yaml

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 21 days ago · Uploaded Detail →
microsoft microsoft
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

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 16 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