Skip to main content
Manusで任意のスキルを実行
ワンクリックで
GitHub リポジトリ

agents-skills-plugins

agents-skills-plugins には EricGrill から収集した 9 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
9
Stars
21
更新
2026-06-21
Forks
7
職業カバレッジ
3 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

nft-standards
ソフトウェア開発者

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

2026-06-21
ssh-connect
ネットワーク・コンピュータシステム管理者

Use when you need to SSH into a remote machine to run commands or open an interactive shell using credentials loaded from a .env file (SSH_HOST, SSH_USER, and key or password), avoiding interactive password prompts.

2026-06-21
multi-agent-patterns
ソフトウェア開発者

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

2026-06-17
defi-protocol-templates
ソフトウェア開発者

Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.

2026-06-17
langchain-architecture
ソフトウェア開発者

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

2026-06-17
llm-evaluation
ソフトウェア開発者

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

2026-06-17
prompt-engineering-patterns
ソフトウェア開発者

This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.

2026-06-17
rag-implementation
ソフトウェア開発者

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

2026-06-17
beautiful-prose
作家・著者

A hard-edged writing style contract for timeless, forceful English prose without modern AI tics. Use when users ask for prose or rewrites that must be clean, exact, concrete, and free of AI cadence, filler, or therapeutic tone.

2026-04-14