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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
pulumi pulumi
from GitHub Ops & Delivery
  • 📁 agents/
  • 📄 SKILL.md
  • 📄 use_cases.yaml
package upgrade version

package-usage

Track which stacks use a specific Pulumi package and at what versions, or upgrade a stack to the latest version of a package. Use when users ask about package version tracking, outdated package versions across stacks, upgrade candidates, or package usage audits. Also use when users want to upgrade/update a specific package version in a stack or project. Do NOT use for general infrastructure creation, resource provisioning, or questions about how to use a package.

⬇0 ❤32 13 days ago · Uploaded Detail →
AmadeusITGroup AmadeusITGroup
from GitHub Ops & Delivery
  • 📄 SKILL.md
extension registry bundles

prompt-registry-helper

Answer questions about using Prompt Registry and authoring bundles. Use this skill whenever the user asks about bundles, collections, hubs, profiles, sources, scopes, marketplace, repository installation, deployment manifests, source scaffolding, collection schemas, validation errors, publishing, or any Prompt Registry extension feature — even if they don't name the extension explicitly.

⬇0 ❤31 12 days ago · Uploaded Detail →
dash0hq dash0hq
from GitHub Ops & Delivery
  • 📁 rules/
  • 📄 README.md
  • 📄 SKILL.md
devops collector configuring

otel-collector

Expert guidance for configuring and deploying the OpenTelemetry Collector. Use when setting up a Collector pipeline, configuring receivers, exporters, or processors, deploying a Collector to Kubernetes or Docker, or forwarding telemetry to Dash0. Triggers on requests involving collector, pipeline, OTLP receiver, exporter, or Dash0 collector setup.

⬇0 ❤26 12 days ago · Uploaded Detail →
JosiahSiegel JosiahSiegel
from GitHub Ops & Delivery
  • 📁 references/
  • 📄 SKILL.md
airflow adf data

adf-master

This skill should be used when the user asks about "Azure Data Factory CI/CD", "ADF ARM template deployment", "ADF npm build validation", "PrePostDeploymentScript", or needs guidance on ADF pipelines, triggers, GitHub Actions, or Azure DevOps integration. --- # Azure Data Factory Master Knowledge Base ## Deprecated Features ### Apache Airflow Workflow Orchestration Manager - DEPRECATED **Status:** Deprecated since early 2025. Available only for existing customers. **Retirement Date:** Not yet announced, but no new deployments permitted. **Impact:** New customers cannot provision Apache Airflow in Azure Data Factory. **Deprecation Details:** - Apache Airflow Workflow Orchestration Manager is deprecated with no retirement date set - Only existing deployments can continue using this feature - No new Airflow integrations can be created in ADF **Migration Path:** - **Recommended:** Migrate to Fabric Data Factory with native Airflow support - **Alternative:** Use standalone Apache Airflow deployments (Azure Container Instances, AKS, or VM-based) - **Alternative:** Migrate orchestration logic to native ADF pipelines with control flow activities **Why Deprecated:** - Microsoft focus shifted to Fabric Data Factory as the unified data integration platform - Fabric provides modern orchestration capabilities superseding Airflow integration - Limited adoption and maintenance burden for standalone Airflow feature in ADF **Action Required:** - If using Airflow in ADF: Migrate to Fabric Data Factory, standalone Airflow, or native ADF patterns - For new projects: Do NOT use Airflow in ADF - Monitor Microsoft announcements for official retirement timeline **Reference:** - Microsoft Roadmap: https://www.directionsonmicrosoft.com/roadmaps/ref/azure-data-factory-roadmap/ ## Feature Updates (2025-2026) ### Microsoft Fabric Integration (GA) **ADF Mounting in Fabric:** - Bring existing ADF pipelines into Fabric workspaces without rebuilding - Generally Available since June 2025 - Seamless

⬇0 ❤22 8 days ago · Uploaded Detail →
aaPanel aaPanel
from GitHub Ops & Delivery
  • 📁 bt_common/
  • 📁 icon/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
bt-panel security 提供服务器资源监

btpanel

宝塔面板(BT-Panel)运维监控技能，提供服务器资源监控、网站状态检查、服务状态检查、SSH安全审计、计划任务管理、日志读取等功能

⬇0 ❤25 12 days ago · Uploaded Detail →
fuzhengwei fuzhengwei
from GitHub Ops & Delivery
  • 📁 references/
  • 📁 scripts/
  • 📄 .DS_Store
  • 📄 .gitignore
  • 📄 README.md
devops ddd infrastructure

xfg-ddd-skills

DDD 六边形架构设计与部署技能包。提供 Domain/Case/Infrastructure 层设计模式与代码模板，以及 Docker 环境部署脚本。当用户询问 DDD 架构、设计模式或需要部署项目时调用。

⬇0 ❤22 12 days ago · Uploaded Detail →
AINYC AINYC
from GitHub Ops & Delivery
  • 📁 references/
  • 📄 SKILL.md
ai open-source monitoring

canonry

Open-source AEO monitoring CLI. Track how AI answer engines cite your domain across ChatGPT, Gemini, Claude, and Perplexity.

⬇0 ❤22 12 days ago · Uploaded Detail →
evotai evotai
from GitHub Ops & Delivery
  • 📄 SKILL.md
auto-merge babysit monitor

bendclaw

Use this skill when the user asks to monitor a PR, watch CI, auto-merge a PR, or babysit a pull request in evot-web. Trigger phrases: "babysit pr", "watch ci", "monitor pr", "auto-merge", "/babysit-pr".

⬇0 ❤22 13 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