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Import Skills

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aldefy aldefy
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
compose multiplatform data

compose-expert

Compose and Compose Multiplatform expert skill for UI development across Android, Desktop, iOS, and Web. Guides state management, view composition, animations, navigation, performance, design-to-code workflows, and production crash patterns. Backed by actual source code analysis from both androidx/androidx and JetBrains/compose-multiplatform-core. Use this skill whenever the user mentions Compose, @Composable, remember, LaunchedEffect, Scaffold, NavHost, MaterialTheme, LazyColumn, Modifier, recomposition, Style, styleable, MutableStyleState, Compose Multiplatform, CMP, KMP, commonMain, expect, actual, ComposeUIViewController, Window composable, UIKitView, ComposeViewport, Res.drawable, Res.string, or any Compose API. Also trigger when the user says "Android UI", "Kotlin UI", "compose layout", "compose navigation", "compose animation", "material3", "compose styles", "compose multiplatform", "desktop compose", "iOS compose", "compose web", "design to compose", "build this UI", "implement this design", or asks about modern Kotlin UI development patterns. Even casual mentions like "my compose screen is slow" or "how do I pass data between screens" should trigger this skill. --- # Compose Expert Skill Non-opinionated, practical guidance for writing correct, performant Compose code — across Android, Desktop, iOS, and Web. Covers Jetpack Compose and Compose Multiplatform. Backed by analysis of actual source code from `androidx/androidx` and `JetBrains/compose-multiplatform-core`. ## Workflow When helping with Compose code, follow this checklist: ### 1. Understand the request - What Compose layer is involved? (Runtime, UI, Foundation, Material3, Navigation) - Is this a state problem, layout problem, performance problem, or architecture question? - Is this Android-only or Compose Multiplatform (CMP)? ### 2. Analyze the design (if visual reference provided) - If the user shares a Figma frame, screenshot, or design spec, consult `references/design-to-compose.md` - Decompose th

⬇0 ❤317 6 days ago · Uploaded Detail →
Meet-Miyani Meet-Miyani
from GitHub Development & Coding
  • 📁 .cursor/
  • 📁 .github/
  • 📁 agents/
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
compose multiplatform jetpack

compose-skill

Build, refactor, and review apps with Jetpack Compose and Compose Multiplatform (KMP/CMP) using MVI architecture. Covers coroutines, StateFlow, SharedFlow, Channel, ViewModels, state modeling, recomposition, Navigation 3/2, Koin/Hilt DI, Ktor networking, Paging 3, Room, DataStore, animations, Coil, accessibility, multiplatform resources, iOS/Swift interop, Gradle/AGP configuration, CI/CD, and desktop distribution. Use when working with @Composable, ViewModel, StateFlow, Flow, KMP, Ktor, Koin, Hilt, DataStore, Room, PagingData, recomposition, Xcode/iOS interop, Gradle build config, performance, testing, cross-platform, or code review. --- # Jetpack Compose & Compose Multiplatform This skill covers the full Compose app development lifecycle — from architecture and state management through UI, networking, persistence, performance, accessibility, cross-platform sharing, build configuration, and distribution. Jetpack Compose and Compose Multiplatform share the same core APIs and mental model. **Not all Jetpack libraries work in `commonMain`** — many remain Android-only. A subset of AndroidX libraries now publish multiplatform artifacts (e.g., `lifecycle-viewmodel`, `lifecycle-runtime-compose`, `datastore-preferences`), but availability and API surface vary by version. **Before adding any Jetpack/AndroidX dependency to `commonMain`, verify the artifact is published for all required targets by checking Maven Central or the library's official documentation.** CMP uses `expect/actual` or interfaces for platform-specific code. MVI (Model-View-Intent) is the recommended architecture, but the skill adapts to existing project conventions. ## Existing Project Policy **Do not force migration.** If a project already follows MVI with its own conventions (different base class, different naming, different file layout), respect that. Adapt to the project's existing patterns. The architecture pattern — unidirectional data flow with Event, State, and Effect — is what matters, not a speci

⬇0 ❤113 12 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