review_my_prior_learning — goldseam MCP Prompt

review_my_prior_learning is one of 1 prompt on the goldseam MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke review_my_prior_learning from your client

• Claude Code goldseam Prompt/review_my_prior_learning run in your project directory
• Claude Desktop goldseam Prompt/review_my_prior_learning ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor goldseam Prompt/review_my_prior_learning ~/.cursor/mcp.json
• VS Code goldseam Prompt/review_my_prior_learning .vscode/mcp.json
• Zed goldseam Prompt/review_my_prior_learning ~/.config/zed/settings.json
• Windsurf goldseam Prompt/review_my_prior_learning ~/.codeium/windsurf/mcp_config.json
• Cline goldseam Prompt/review_my_prior_learning ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI goldseam Prompt/review_my_prior_learning ~/.gemini/settings.json
• Grok goldseam Prompt/review_my_prior_learning .mcp.json (in your project root)
• ChatGPT goldseam Prompt/review_my_prior_learning Settings → Connectors → Advanced → Developer mode
• Claude.ai goldseam Prompt/review_my_prior_learning Settings → Connectors → Add custom connector
• LangChain goldseam Prompt/review_my_prior_learning pip install langchain-mcp-adapters

goldseam also offers 7 resources — data you attach as context, where a prompt is something you run.

Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026. A listing does not declare its prompts, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each prompt's arguments.