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#mcp
semanticscholar-automation
Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=openteams-lab-openteams-assets-skills-semanticscholar-automation-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name semanticscholar-automation description Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas. requires {"mcp":["rube"]} Semanticscholar Automation via Rube MCP Automate Semanticscholar operations through Composio's Semanticscholar toolkit via Rube MCP. Toolkit docs : composio.dev/toolkits/semanticscholar Prerequisites Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Semanticscholar connection via RUBE_MANAGE_CONNECTIONS with toolkit semanticscholar Always call RUBE_SEARCH_TOOLS first to get current tool schemas Setup Get Rube MCP : Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit semanticscholar If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows Tool Discovery Always discover available tools before executing workflows: RUBE_SEARCH_TOOLS queries: [{use_case: "Semanticscholar operations", known_fields: ""}] session: {generate_id: true} This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls. Core Workflow Pattern Step 1: Discover Available Tools RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Semanticscholar task"}] session: {id: "existing_session_id"} Step 2: Check Connection RUBE_MANAGE_CONNECTIONS toolkits: ["semanticscholar"] session_id: "your_session_id" Step 3: Execute Tools RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/* schema-compliant args from search results */} }] memory: {} session_id: "your_session_id" Known Pitfalls Always search first : Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection : Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance : Use exact field names and types from the search results Memory parameter : Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ( {} ) Session reuse : Reuse session IDs within a workflow. Generate new ones for new workflows Pagination : Check responses for pagination tokens and continue fetching until complete Quick Reference Operation Approach Find tools RUBE_SEARCH_TOOLS with Semanticscholar-specific use case Connect RUBE_MANAGE_CONNECTIONS with toolkit semanticscholar Execute RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs Bulk ops RUBE_REMOTE_WORKBENCH with run_composio_tool() Full schema RUBE_GET_TOOL_SCHEMAS for tools with schemaRef Powered by Composio
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
