Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
EnglishResolve Git merge, rebase, or cherry-pick conflicts by preserving intent from both sides. Use when unmerged paths or conflict markers are present, especially when you must inspect the PR title and description tied to conflicting commits before choosing a resolution.
EnglishOrchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
EnglishSuggest better variable, function, and class names based on context and conventions.
EnglishExpert guidance on Swift Concurrency best practices, patterns, and implementation. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) modern concurrency patterns or structured concurrency, (3) migrating to Swift 6 or strict concurrency checking, (4) data races or thread safety issues, (5) refactoring closures to async/await, (6) @MainActor, Sendable, or actor isolation, (7) concurrent code architecture or performance, (8) concurrency-related linter warnings, (9) AsyncSequence, AsyncStream, or task groups, (10) nonisolated, @preconcurrency, or @unchecked Sendable.
Englishvllm-mlx expert guidance — Apple Silicon native LLM inference server with MLX backend, OpenAI/Anthropic API, continuous batching, and model setup (LLM/VLM/Audio/Embeddings/Reasoning).
EnglishClaude Code のエージェントチーム構成を設計するスキルです。 品質向上(別セッションでの再鑑・多角的レビュー)を主目的としたチーム構成を対話形式で提案します。 次のような場面で積極的に使ってください: - エージェントチームやマルチエージェントの話題が出たとき - 実装・設計の品質を別の視点でチェックしたいとき - アーキテクチャレビュー、ドメインエキスパートレビュー、テストなど多角的な検証をしたいとき - 大規模・複雑なタスクを複数セッションで分担・協調したいとき - TeamCreate / SendMessage / TaskCreate の使い方を聞かれたとき…
JapaneseMLX LM (mlx-lm) expert — Apple Silicon LLM inference with generate/chat/server commands, Python API, OpenAI-compatible HTTP server, and model conversion/quantization via mlx-community.
Uncertain複雑な課題や重要な決定に対して段階的で構造化された思考プロセスを実行する。「深く考えて」「じっくり分析して」「複雑な問題を整理して」「多角的に検討して」「重要な決定を考えて」などで起動。…
Japanese
AGENT SKILLS ATLASIncludes Crafting Effective Readmes, Fix Merge Conflicts, LLM Council, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Crafting Effective Readmes
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
Fix Merge Conflicts
Resolve Git merge, rebase, or cherry-pick conflicts by preserving intent from both sides. Use when unmerged paths or conflict markers are present, especially when you must inspect the PR title and description tied to conflicting commits before choosing a resolution.
LLM Council
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Naming Analyzer
Suggest better variable, function, and class names based on context and conventions.
Swift Concurrency
Expert guidance on Swift Concurrency best practices, patterns, and implementation. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) modern concurrency patterns or structured concurrency, (3) migrating to Swift 6 or strict concurrency checking, (4) data races or thread safety issues, (5) refactoring closures to async/await, (6) @MainActor, Sendable, or actor isolation, (7) concurrent code architecture or performance, (8) concurrency-related linter warnings, (9) AsyncSequence, AsyncStream, or task groups, (10) nonisolated, @preconcurrency, or @unchecked Sendable.
Vllm Mlx Expert
vllm-mlx expert guidance — Apple Silicon native LLM inference server with MLX backend, OpenAI/Anthropic API, continuous batching, and model setup (LLM/VLM/Audio/Embeddings/Reasoning).
Agent Team Organizer
Claude Code のエージェントチーム構成を設計するスキルです。 品質向上(別セッションでの再鑑・多角的レビュー)を主目的としたチーム構成を対話形式で提案します。 次のような場面で積極的に使ってください: - エージェントチームやマルチエージェントの話題が出たとき - 実装・設計の品質を別の視点でチェックしたいとき - アーキテクチャレビュー、ドメインエキスパートレビュー、テストなど多角的な検証をしたいとき - 大規模・複雑なタスクを複数セッションで分担・協調したいとき - TeamCreate / SendMessage / TaskCreate の使い方を聞かれたとき 「エージェントチーム」と明示されなくても、品質検証や役割分担の相談があれば使ってください。
Mlx Lm
MLX LM (mlx-lm) expert — Apple Silicon LLM inference with generate/chat/server commands, Python API, OpenAI-compatible HTTP server, and model conversion/quantization via mlx-community.
Ultrathink
複雑な課題や重要な決定に対して段階的で構造化された思考プロセスを実行する。「深く考えて」「じっくり分析して」「複雑な問題を整理して」「多角的に検討して」「重要な決定を考えて」などで起動。
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Crafting Effective Readmes skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- License details are not provided in these listings. Check the author’s terms before using the skills.