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agents-skills-plugins

agents-skills-plugins 收录了来自 EricGrill 的 9 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
9
Stars
21
更新
2026-06-21
Forks
7
职业覆盖
3 个职业分类 · 已分类 100%
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这个仓库中的 skills

nft-standards
软件开发工程师

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
网络与计算机系统管理员

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
软件开发工程师

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
软件开发工程师

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
软件开发工程师

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
软件开发工程师

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
软件开发工程师

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
软件开发工程师

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
作家与作者

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