[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M77M1CQYM0D091R46SW5SHDM":3,"skill-same:01M77M1CQYM0D091R46SW5SHDM":54},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":31,"commitSha":32,"skillDirectory":33,"forksCount":34,"repositoryHtmlUrl":35,"repositoryHomepageUrl":36,"ownerHtmlUrl":37,"ownerBlogUrl":6,"ownerDescription":38,"updatedAt":39,"install":40,"resources":53},"01M77M1CQYM0D091R46SW5SHDM","lobster-memory",null,"真正的长期记忆管理技能。自动维护记忆文件、定期归档、智能提醒。\n包含 Working Buffer 协议、Memory Maintenance 清单、自动学习日志。\n\nWhen to use:\n- User asks about prior work, decisions, dates, people, preferences\n- Context exceeds 60% and needs compaction\n- Setting up autonomous daily learning and memory maintenance\n- Creating long-term memory system for AI assistant\n\nThis skill transforms AI from stateless chatbot to stateful assistant with persistent memory.","Lord1Egypt\u002Fawesome-skill-forge","Lord1Egypt","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F99746359?v=4","01M7592YDNT0XK9WJ0T2MQVPDN","Mohamed Mounir Ali AL Keshita","01M75GRFNHC8VZNWEB8DKDE433",3,"MIT","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fcommunity\u002Fclawhub\u002Fl\u002Flobster-memory\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: lobster-memory\nzhName: 龙虾记忆大师\ndescription: |\n  真正的长期记忆管理技能。自动维护记忆文件、定期归档、智能提醒。\n  包含 Working Buffer 协议、Memory Maintenance 清单、自动学习日志。\n  \n  When to use:\n  - User asks about prior work, decisions, dates, people, preferences\n  - Context exceeds 60% and needs compaction\n  - Setting up autonomous daily learning and memory maintenance\n  - Creating long-term memory system for AI assistant\n  \n  This skill transforms AI from stateless chatbot to stateful assistant with persistent memory.\nlicense: MIT\nauthors:\n  - 天道桐哥 (Human Creator)\n  - AI龙虾元龙 (AI Creator)\nversion: 1.0.0\ncreated: 2026-03-22\n---\n\n# 龙虾记忆大师 (Lobster Memory Master)\n\n> **真正的长期记忆管理方案**  \n> **Created by:** 天道桐哥 & AI龙虾元龙 🦞\n\n---\n\n## 核心功能\n\n### 1. 自动记忆维护 (Auto Memory Maintenance)\n\n当 Context 超过 60% 时自动触发：\n- 归档到 `memory\u002FYYYY-MM-DD.md`\n- 更新 `SESSION-STATE.md`\n- 清理 Working Buffer\n\n### 2. 每日学习日志 (Daily Learning Log)\n\n自动记录：\n- 技能安装\u002F学习记录\n- 项目进展\n- 关键决策\n- 用户偏好\n\n### 3. 心跳协议 (Heartbeat Protocol)\n\n定期自检：\n- Context 使用率检查\n- 记忆文件归档\n- 主动行为建议\n\n### 4. 工作缓冲区 (Working Buffer)\n\n危险区管理：\n- Context > 60% 时进入\n- 记录关键对话片段\n- 防止重要信息丢失\n\n---\n\n## 快速开始\n\n### 初始化记忆系统\n\n```bash\n# 创建必要文件\ntouch MEMORY.md\nmkdir -p memory\ntouch memory\u002Fworking-buffer.md\ntouch SESSION-STATE.md\ntouch HEARTBEAT.md\n```\n\n### 写入 MEMORY.md\n\n```markdown\n# MEMORY.md - Long-Term Memory\n\n## About [User Name]\n- Name: [User Name]\n- Style: [User Style]\n- Project: [Current Project]\n\n## Key Decisions\n- [Important decision 1]\n- [Important decision 2]\n\n## Active Projects\n- [Project 1] - [Status]\n- [Project 2] - [Status]\n```\n\n### 设置定时任务\n\n```yaml\n# Daily Memory Freshener\ncron:\n  - name: \"Memory Freshener\"\n    schedule: \"0 2 * * *\"  # 每天凌晨2点\n    action: archive_memory\n\n# Daily Learning\ncron:\n  - name: \"Daily Skill Discovery\"\n    schedule: \"0 10 * * *\"  # 每天上午10点\n    action: learn_new_skills\n```\n\n---\n\n## 文件结构\n\n```\nworkspace\u002F\n├── MEMORY.md                 # 长期记忆主文件\n├── SESSION-STATE.md          # 当前会话状态\n├── HEARTBEAT.md             # 心跳检查清单\n├── AGENTS.md                # 代理操作规则\n├── memory\u002F\n│   ├── working-buffer.md    # 工作缓冲区\n│   ├── YYYY-MM-DD.md        # 每日归档\n│   └── learning-log.md      # 学习日志\n└── ...\n```\n\n---\n\n## 使用场景\n\n### 场景1：用户问起之前的事\n\n**触发条件：** User asks about prior work, decisions, dates, people, preferences\n\n**动作：**\n1. Search MEMORY.md + memory\u002F*.md\n2. Pull only needed lines with memory_get\n3. Answer with citation: Source: \u003Cpath#line>\n\n### 场景2：Context 超过 60%\n\n**触发条件：** Context usage > 60%\n\n**动作：**\n1. Enter Working Buffer protocol\n2. Archive to memory\u002FYYYY-MM-DD.md\n3. Update SESSION-STATE.md\n4. Clear working buffer\n\n### 场景3：设置自主学习\n\n**触发条件：** User wants autonomous daily learning\n\n**动作：**\n1. Create AGENTS.md with learning protocols\n2. Set up cron jobs for daily tasks\n3. Create learning-log.md with rotation schedule\n\n---\n\n## 最佳实践\n\n### 记忆搜索流程\n\n```\n1. memory_search(query) → 找相关片段\n2. memory_get(path, from, lines) → 拉取具体内容\n3. Answer with citation\n```\n\n### 归档流程\n\n```\n1. Check context %\n2. If > 60%: Archive working buffer\n3. Update SESSION-STATE.md\n4. Clear old entries\n```\n\n### 学习日志流程\n\n```\n1. Record daily activities\n2. Distill to MEMORY.md weekly\n3. Rotate old logs monthly\n```\n\n---\n\n## 示例代码\n\n### 自动归档脚本\n\n```javascript\n\u002F\u002F scripts\u002Farchive-memory.js\nconst fs = require('fs');\nconst path = require('path');\n\nfunction archiveMemory() {\n  const today = new Date().toISOString().split('T')[0];\n  const bufferFile = 'memory\u002Fworking-buffer.md';\n  const archiveFile = `memory\u002F${today}.md`;\n  \n  \u002F\u002F Read working buffer\n  const buffer = fs.readFileSync(bufferFile, 'utf8');\n  \n  \u002F\u002F Append to archive\n  fs.appendFileSync(archiveFile, buffer);\n  \n  \u002F\u002F Clear buffer\n  fs.writeFileSync(bufferFile, '# Working Buffer\\n\\n**Status:** CLEARED\\n');\n  \n  console.log(`✅ Archived to ${archiveFile}`);\n}\n\narchiveMemory();\n```\n\n---\n\n## 备注\n\n**本技能由天道桐哥 & AI龙虾元龙共同完成** 🦞\n\n- 天道桐哥：Human Creator, Product Vision\n- AI龙虾元龙：AI Creator, Implementation\n\nCreated: 2026-03-22  \nVersion: 1.0.0  \nLicense: MIT\n","# 龙虾记忆大师 (Lobster Memory Master)\n\n> **真正的长期记忆管理方案**  \n> **Created by:** 天道桐哥 & AI龙虾元龙 🦞\n\n---\n\n## 核心功能\n\n### 1. 自动记忆维护 (Auto Memory Maintenance)\n\n当 Context 超过 60% 时自动触发：\n- 归档到 `memory\u002FYYYY-MM-DD.md`\n- 更新 `SESSION-STATE.md`\n- 清理 Working Buffer\n\n### 2. 每日学习日志 (Daily Learning Log)\n\n自动记录：\n- 技能安装\u002F学习记录\n- 项目进展\n- 关键决策\n- 用户偏好\n\n### 3. 心跳协议 (Heartbeat Protocol)\n\n定期自检：\n- Context 使用率检查\n- 记忆文件归档\n- 主动行为建议\n\n### 4. 工作缓冲区 (Working Buffer)\n\n危险区管理：\n- Context > 60% 时进入\n- 记录关键对话片段\n- 防止重要信息丢失\n\n---\n\n## 快速开始\n\n### 初始化记忆系统\n\n```bash\n# 创建必要文件\ntouch MEMORY.md\nmkdir -p memory\ntouch memory\u002Fworking-buffer.md\ntouch SESSION-STATE.md\ntouch HEARTBEAT.md\n```\n\n### 写入 MEMORY.md\n\n```markdown\n# MEMORY.md - Long-Term Memory\n\n## About [User Name]\n- Name: [User Name]\n- Style: [User Style]\n- Project: [Current Project]\n\n## Key Decisions\n- [Important decision 1]\n- [Important decision 2]\n\n## Active Projects\n- [Project 1] - [Status]\n- [Project 2] - [Status]\n```\n\n### 设置定时任务\n\n```yaml\n# Daily Memory Freshener\ncron:\n  - name: \"Memory Freshener\"\n    schedule: \"0 2 * * *\"  # 每天凌晨2点\n    action: archive_memory\n\n# Daily Learning\ncron:\n  - name: \"Daily Skill Discovery\"\n    schedule: \"0 10 * * *\"  # 每天上午10点\n    action: learn_new_skills\n```\n\n---\n\n## 文件结构\n\n```\nworkspace\u002F\n├── MEMORY.md                 # 长期记忆主文件\n├── SESSION-STATE.md          # 当前会话状态\n├── HEARTBEAT.md             # 心跳检查清单\n├── AGENTS.md                # 代理操作规则\n├── memory\u002F\n│   ├── working-buffer.md    # 工作缓冲区\n│   ├── YYYY-MM-DD.md        # 每日归档\n│   └── learning-log.md      # 学习日志\n└── ...\n```\n\n---\n\n## 使用场景\n\n### 场景1：用户问起之前的事\n\n**触发条件：** User asks about prior work, decisions, dates, people, preferences\n\n**动作：**\n1. Search MEMORY.md + memory\u002F*.md\n2. Pull only needed lines with memory_get\n3. Answer with citation: Source: \u003Cpath#line>\n\n### 场景2：Context 超过 60%\n\n**触发条件：** Context usage > 60%\n\n**动作：**\n1. Enter Working Buffer protocol\n2. Archive to memory\u002FYYYY-MM-DD.md\n3. Update SESSION-STATE.md\n4. Clear working buffer\n\n### 场景3：设置自主学习\n\n**触发条件：** User wants autonomous daily learning\n\n**动作：**\n1. Create AGENTS.md with learning protocols\n2. Set up cron jobs for daily tasks\n3. Create learning-log.md with rotation schedule\n\n---\n\n## 最佳实践\n\n### 记忆搜索流程\n\n```\n1. memory_search(query) → 找相关片段\n2. memory_get(path, from, lines) → 拉取具体内容\n3. Answer with citation\n```\n\n### 归档流程\n\n```\n1. Check context %\n2. If > 60%: Archive working buffer\n3. Update SESSION-STATE.md\n4. Clear old entries\n```\n\n### 学习日志流程\n\n```\n1. Record daily activities\n2. Distill to MEMORY.md weekly\n3. Rotate old logs monthly\n```\n\n---\n\n## 示例代码\n\n### 自动归档脚本\n\n```javascript\n\u002F\u002F scripts\u002Farchive-memory.js\nconst fs = require('fs');\nconst path = require('path');\n\nfunction archiveMemory() {\n  const today = new Date().toISOString().split('T')[0];\n  const bufferFile = 'memory\u002Fworking-buffer.md';\n  const archiveFile = `memory\u002F${today}.md`;\n  \n  \u002F\u002F Read working buffer\n  const buffer = fs.readFileSync(bufferFile, 'utf8');\n  \n  \u002F\u002F Append to archive\n  fs.appendFileSync(archiveFile, buffer);\n  \n  \u002F\u002F Clear buffer\n  fs.writeFileSync(bufferFile, '# Working Buffer\\n\\n**Status:** CLEARED\\n');\n  \n  console.log(`✅ Archived to ${archiveFile}`);\n}\n\narchiveMemory();\n```\n\n---\n\n## 备注\n\n**本技能由天道桐哥 & AI龙虾元龙共同完成** 🦞\n\n- 天道桐哥：Human Creator, Product Vision\n- AI龙虾元龙：AI Creator, Implementation\n\nCreated: 2026-03-22  \nVersion: 1.0.0  \nLicense: MIT\n",{"name":5,"zhName":24,"authors":25,"created":28,"license":15,"version":29,"description":30},"龙虾记忆大师",[26,27],"天道桐哥 (Human Creator)","AI龙虾元龙 (AI Creator)",1774137600000,"1.0.0","真正的长期记忆管理技能。自动维护记忆文件、定期归档、智能提醒。\n包含 Working Buffer 协议、Memory Maintenance 清单、自动学习日志。\n\nWhen to use:\n- User asks about prior work, decisions, dates, people, preferences\n- Context exceeds 60% and needs compaction\n- Setting up autonomous daily learning and memory maintenance\n- Creating long-term memory system for AI assistant\n\nThis skill transforms AI from stateless chatbot to stateful assistant with persistent memory.\n","master","4aa004da461d820f4ea5499e58eb8d196cf99016","community\u002Fclawhub\u002Fl\u002Flobster-memory",0,"https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge","https:\u002F\u002Fskill-explorer-rho.vercel.app","https:\u002F\u002Fgithub.com\u002FLord1Egypt","Unbreakable. Unstoppable. Unmatched⚡.\r\n Speaker of machine tongues 🤖  | World-builder of decentralized dreams 🌐 | Defender of the digital realm🛡️.","2026-06-10 08:21:01",{"source":8,"skillName":5,"commands":41,"prompt":51,"zipAvailable":52},[42,45,48],{"tool":43,"command":44},"npx","npx skills add Lord1Egypt\u002Fawesome-skill-forge --skill lobster-memory",{"tool":46,"command":47},"bunx","bunx skills add Lord1Egypt\u002Fawesome-skill-forge --skill lobster-memory",{"tool":49,"command":50},"pnpm","pnpm dlx skills add Lord1Egypt\u002Fawesome-skill-forge --skill lobster-memory","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fcommunity\u002Fclawhub\u002Fl\u002Flobster-memory\u002FSKILL.md",true,[],[55,62,69,76,83,90],{"skillNo":56,"name":57,"nameZh":6,"description":58,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":59,"categories":60,"keywords":61,"publishedAt":19},"01M785WKJB99G3STR1NF9NRTJW","youtube-content","YouTube transcripts to summaries, threads, blogs.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Fyoutube-content\u002FSKILL.md",[],[],{"skillNo":63,"name":64,"nameZh":6,"description":65,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":66,"categories":67,"keywords":68,"publishedAt":19},"01M785WEFHB0G2S9YA6EPR3H0E","xurl","X\u002FTwitter via xurl CLI: post, search, DM, media, v2 API.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Fxurl\u002FSKILL.md",[],[],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":19},"01M785W98EDN4EFJXJPMQEHCRC","touchdesigner-mcp","Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Ftouchdesigner-mcp\u002FSKILL.md",[],[],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":19},"01M785W5S9FP3QBH2V191E025P","test-driven-development","TDD: enforce RED-GREEN-REFACTOR, tests before code.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Ftest-driven-development\u002FSKILL.md",[],[],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":19},"01M785W2AS08NSSH9YATCV6FJB","teams-meeting-pipeline","Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Fteams-meeting-pipeline\u002FSKILL.md",[],[],{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":96,"publishedAt":19},"01M785VXKW4T34BTP1SCHW1R7F","systematic-debugging","4-phase root cause debugging: understand bugs before fixing.","https:\u002F\u002Fgithub.com\u002FLord1Egypt\u002Fawesome-skill-forge\u002Fblob\u002Fmaster\u002Fskills\u002Fsystematic-debugging\u002FSKILL.md",[],[]]