Twilio Voice and Video Android SDK development guide. Use when building native Android calling apps, configuring FCM push notifications, integrating ConnectionService, managing Android audio devices, setting up Gradle dependencies, handling runtime permissions, or testing on Android Emulator.
Frida 单仓结构、交付补丁顺序、Android/通用编译排障、topatch 与典型魔改清单；依据 patch 与本节内嵌要点回答「改了什么」。勿依赖 doc/ 下备份文档。
Vision-driven Android device automation using Midscene. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control Android devices with natural language commands via ADB. Perform taps, swipes, text input, app launches, screenshots, and more.
Full Sentry SDK setup for Android. Use when asked to "add Sentry to Android", "install sentry-android", "setup Sentry in Android", or configure error monitoring, tracing, profiling, session replay, or logging for Android applications. Supports Kotlin and Java codebases.
Control the Android development environment: manage SDK packages, start/stop emulators, install APKs, stream device logs, take screenshots, and run Gradle builds. Use when the user wants to do anything with Android devices, emulators, or SDK tools.
Create production-quality Android applications following Google's official Android architecture guidance with Kotlin, Jetpack Compose, MVVM architecture, Hilt dependency injection, Room 3 local persistence (KSP, SQLiteDriver, Flow/suspend DAOs), and multi-module architecture. Triggers on requests to create Android projects, modules, screens, ViewModels, repositories, or when asked about Android architecture patterns and best practices.
Architecture, Jetpack Compose, Navigation3 KMP, and Koin DI rules for Android apps.
Use when adding authentication to Android applications (Kotlin/Java) with Web Auth, biometric-protected credentials, and MFA - integrates com.auth0.android:auth0 SDK for native Android apps
Comprehensive Android APK security audit with static analysis, dynamic instrumentation, source-to-sink tracing, IPC/component abuse analysis, and CVSS 4.0 reporting. Covers decompilation, manifest analysis, deep links and intent injection, secrets detection, crypto analysis, Frida/Objection integration, and APK repackaging. Use when user says "audit APK", "analyze android app", "mobile pentest", "APK security", "decompile APK", "android vulnerability assessment", "reverse engineer android", "modify APK", "intent injection", "deep link abuse", "bypass SSL pinning", "bypass root detection", or provides an APK for security review, decompiled Android sources, or decoded resources.
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
