Settings file Claude Code
Agent settings declaring 3 hook events (SessionStart, PreToolUse, SubagentStop).
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Command Cursor
Read the backend development guidelines before starting your development task.
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Command Cursor
Read the frontend development guidelines before starting your development task.
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Command Cursor
Guide AI through collaborative requirements discovery before implementation, optimized for AI coding workflows.
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Command Cursor
When debug is complete, use this command for deep analysis to break the "fix bug -> forget -> repeat" cycle.
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Check if the code you just wrote follows the backend development guidelines.
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Command Cursor
Check if your changes considered all dimensions. Most bugs come from "didn't think of it", not lack of technical skill.
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Command Cursor
Check if the code you just wrote follows the frontend development guidelines.
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Command Cursor
Create a new slash command in both .cursor/commands/ (with trellis- prefix) and .claude/commands/trellis/ directories based on user requirements.
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Command Cursor
Before submitting or committing, use this checklist to ensure work completeness.
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Adapt and integrate a Claude global skill into your project's development guidelines (not directly into project code).
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Command Cursor
You are a senior developer onboarding a new team member to this project's AI-assisted workflow system.
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Command Cursor
Command "trellis-record-session" from lie5860/openai-search-mcp, covering record work progress (simplified - only 2 steps), step 1: get context, step 2: one-click add session, method 1: simple parameters and method 2: pass detailed content via stdin.
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Command Cursor
Initialize your AI development session and begin working on tasks.
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Command Cursor
When you learn something valuable (from debugging, implementing, or discussion), use this command to update the relevant code-spec documents.
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Instructions file CodexOpenCode
Instructions for lie5860/openai-search-mcp: These instructions are for AI assistants working in this project.
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MCP server Claude CodeCodexCursor +2
MCP server for AI model search capabilities using OpenAI-compatible APIs. Runs locally from the openai-search-mcp npm package.
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