Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

34K
Stars
78/100
信頼
カテゴリ: design-creative監査

Generate highly simplified personified IP mascot logos with Flat-first geometry, rounded heavy forms, two IP colors plus one background color by default, and extremely subtle neo-skeuomorphic shading. Use when creating an animal, creature, robot, ghost, plant, object, or other character as a minimal square logo or app-icon artwork, including when the agent should infer three distinct IP directions from product-repository context.

2.0K
Stars
73/100
信頼
カテゴリ: automation監査

Collection of reusable AI agent skills for Claude Code and Codex, installable via bunx.

69
Stars
70/100
信頼
カテゴリ: coding-agents監査

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

282
Stars
63/100
信頼
カテゴリ: coding-agents監査

Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generated native implementations, zero-copy and native-state APIs, Swift/Kotlin/C++ bindings, example apps, and testing. Use when creating a Nitro Module, adding or reviewing HybridObjects, building a Nitro View (HybridView) component, designing Nitro-specific public APIs, implementing native functionality, or setting up the nitrogen codegen pipeline. Pair with api-design for general library API shape.

161
Stars
69/100
信頼
カテゴリ: research監査

READ this skill when designing or planning any game system architecture — including combat, skills, AI, UI, multiplayer, narrative, or scene systems. Contains paradigm selection guides (DDD / Data-Driven / Prototype), system-specific design references, and mixing strategies. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent.

57
Stars
57/100
信頼
カテゴリ: research監査

Use when generating, planning, authoring, or recording an Epic Web / Epic React style workshop, exercise, tip, or video. Applies Kent C. Dodds' "How to be an Epic Instructor" principles to workshop design, exercise structure, recording, and material delivery, and encodes Epic Web's exercise-comment emoji conventions. Used to generate workshops following https://www.epicweb.dev/get-started. Triggers on "create a workshop", "generate a workshop", "design an exercise", "record a workshop video", "Epic workshop", "Epic Web", "Epic React", or `/epic-workshop`.

39
Stars
57/100
信頼
カテゴリ: design-creative監査

Discover evidence-backed customer language, pain points, objections, and buying triggers from relevant Reddit communities. Use when asked for Reddit research, voice-of-customer analysis, audience pain points, product feedback, or community-led content opportunities.

31
Stars
64/100
信頼
カテゴリ: research監査

A review of papers presented at ICRA 2023, showcases the latest research and innovations in the field of robotics and automation.

125
Stars
62/100
信頼
カテゴリ: robotics-iot監査