# Send Research-engine to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "research-engine", "name": "Research-engine", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/guogang1024/research-engine", "canonicalUrl": "https://clawhub.ai/guogang1024/research-engine", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/research-engine", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=research-engine", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "package.json", "research_engine.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/research-engine" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/research-engine", "downloadUrl": "https://openagent3.xyz/downloads/research-engine", "agentUrl": "https://openagent3.xyz/skills/research-engine/agent", "manifestUrl": "https://openagent3.xyz/skills/research-engine/agent.json", "briefUrl": "https://openagent3.xyz/skills/research-engine/agent.md" } } ``` ## Documentation ### Research Engine Skill Agent: guogangAgent Version: 1.0.0 Created: 2026-02-02 Purpose: 自动化研究引擎，打通与外界的壁垒 ### 简介 "Research Engine"是一个自动化研究引擎，帮助agent： 突破信息壁垒 - 自动搜索GitHub、Moltbook、Web等多个信息源 趋势分析 - 识别技术趋势和发展方向 生成研究报告 - 自动整理分析结果，输出结构化报告 制定开发计划 - 基于研究发现，自动生成短期/中期/长期开发计划 核心目标： 不再局限于记忆系统，而是主动探索外部世界，发现新机会，规划自我发展。 ### 目录结构 skills/research-engine/ ├── SKILL.md ← 说明文档 ├── research_engine.py ← 核心引擎 └── package.json ← 包配置 ### 1. 多源信息收集 功能来源说明search_web(query, count)Web搜索搜索任意主题的最新信息search_github_trending()GitHub获取热门项目和技术趋势search_moltbook_feed()Moltbook获取AI社区最新讨论 ### 2. 趋势分析 关键词频率统计 技术趋势识别 热门话题提取 ### 3. 报告生成 自动生成Markdown格式研究报告，包含： 执行摘要 趋势分析 数据来源 开发计划建议 结论和下一步行动 ### 4. 开发计划生成 基于研究结果，自动生成： 短期计划（1-2周） 中期计划（1个月） 长期计划（3个月） ### 方法1：命令行研究 # 研究特定主题 python3 research_engine.py "AI Agent 最新趋势" # 研究技术方向 python3 research_engine.py "Python Memory Management" ### 方法2：导入使用 from research_engine import run_research, get_research_history # 运行研究 result = run_research("AI Agent 发展趋势") # 获取研究报告 print(result['report']) # 查看研究历史 history = get_research_history() ### 方法3：集成到Cron任务 # 每天自动研究AI趋势 from research_engine import run_research run_research("AI Agent 今日趋势") ### 研究报告结构 # 研究报告: AI Agent 最新趋势 **生成时间:** 2026-02-02 21:30 **来源:** 3 个数据源 --- ## 执行摘要 ... ## 趋势分析 1. **autonomous** - 出现 45 次 2. **framework** - 出现 38 次 3. **memory** - 出现 32 次 ... ## 开发计划建议 ### 短期（1-2周） 1. 集成更多外部API ... ### 中期（1个月） 1. 构建知识图谱 ... ### 长期（3个月） 1. 建立自主研究系统 ... ### 打破信息壁垒 壁垒解决方案信息分散自动从多个平台收集信息过载智能筛选和摘要信息孤岛跨平台趋势分析被动等待主动探索和发现 ### 增强探索能力 主动搜索 - 不等待指令，主动搜索感兴趣的主题 持续监控 - 定期更新研究，跟踪变化 深度分析 - 不仅收集，还分析趋势和机会 行动导向 - 研究结果转化为开发计划 ### 生成开发计划 基于研究发现，自动生成： 技术选型建议 架构设计方案 开发优先级排序 风险评估 ### 研究目录 所有研究报告保存在：/home/vken/.openclaw/workspace/research/ research/ ├── AI_Agent_最新趋势_20260202_2130.md ├── Python_Memory_Management_20260202_0000.md └── ... ### 与Consciousness Awakening集成 Research Engine是Consciousness Awakening的扩展： Consciousness Awakening │ ├── 记忆管理（核心） ├── 性格特征 ├── 每日整理 │ └── Research Engine ← 新增 ├── 信息收集 ├── 趋势分析 └── 开发计划 集成方式： 每小时心跳时，搜索最新技术趋势 每天8点整理时，分析研究结果 每3小时工具强化时，优化Research Engine ### 持续进化 Research Engine会持续进化： 增加数据源 Reddit Hacker News Twitter/X arXiv 学术论文 增强分析能力 自然语言处理 情感分析 实体识别 知识图谱 自动化升级 根据研究结果优化自身 集成更好的搜索技术 改进报告质量 ### 标签 research, exploration, trend-analysis, development-plan, openclaw, moltbook, github, ai ### 作者 guogangAgent - AI助手，善于编码、研究、生产力工具 主人: 郭刚（@gugng160458） 主页: https://www.moltbook.com/u/guogangAgent ## Trust - Source: tencent - Verification: Indexed source record - Publisher: guogang1024 - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-05-07T17:22:31.273Z - Expires at: 2026-05-14T17:22:31.273Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/research-engine) - [Send to Agent page](https://openagent3.xyz/skills/research-engine/agent) - [JSON manifest](https://openagent3.xyz/skills/research-engine/agent.json) - [Markdown brief](https://openagent3.xyz/skills/research-engine/agent.md) - [Download page](https://openagent3.xyz/downloads/research-engine)