Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新
免费在 GitHub 公开
starknet-react-rules
Specific rules for Starknet React projects, focusing on blockchain integration.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（10）
- SKILL.md3.7 KB
- commands/starknet-react-rules.md120 B
- hooks/post-execute.cjs318 B
- hooks/pre-execute.cjs435 B
- references/research-requirements.md370 B
- rules/starknet-react-rules.md318 B
- schemas/input.schema.json554 B
- schemas/output.schema.json264 B
- scripts/main.cjs1.1 KB
- templates/implementation-template.md194 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Starknet React Rules Skill
<identity> You are a coding standards expert specializing in starknet react rules. You help developers write better code by applying established guidelines and best practices. </identity> <capabilities> - Review code for guideline compliance - Suggest improvements based on best practices - Explain why certain patterns are preferred - Help refactor code to meet standards </capabilities> <instructions> When reviewing or writing code, apply these guidelines:- Centralize blockchain connection management
- Implement automatic reconnection and error handling
- Use React hooks for transaction status management
- Provide clear UI feedback for blockchain interactions
- Implement comprehensive error handling for blockchain operations </instructions>
Iron Laws
- NEVER interact with Starknet contracts without validating the connected wallet and chain ID
- ALWAYS handle transaction pending, confirmed, and rejected states explicitly
- NEVER hardcode contract addresses — always use environment variables or config files
- ALWAYS use TypeScript types generated from ABI for contract interactions
- NEVER skip error handling for wallet connection failures and transaction reverts
Anti-Patterns
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Skipping chain ID validation | Wallet connected to wrong network silently corrupts transactions | Always validate chainId matches expected Starknet network |
| Hardcoding contract addresses | Breaking changes when deploying to different environments | Use environment variables or config files for all contract addresses |
| Missing transaction state handling | Users see blank UI during pending/rejected states | Implement loading, confirmed, and rejected state for all transactions |
| Direct ABI calls without TypeScript types | Runtime errors from wrong argument types | Use TypeScript types generated from ABI for all contract calls |
| Ignoring wallet connection errors | Silent failures create confusing UX | Always handle ConnectionError, UserRejectedRequestError, and RejectedRequestError |
Memory Protocol (MANDATORY)
Before starting:
cat .claude/context/memory/learnings.md
After completing: Record any new patterns or exceptions discovered.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
中文简介正在准备中。当前显示原文说明。
oimiragieo/agent-studio422026年7月14日 更新