[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6RTJXKN1TRKVMWMBAA40VD8":3,"skill-same:01M6RTJXKN1TRKVMWMBAA40VD8":73},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":13,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6RTJXKN1TRKVMWMBAA40VD8","backend-patterns",null,"Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.","sakamoto-family-smile\u002Fagent_monorepo","sakamoto-family-smile","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F132812403?v=4","01M6RTAT3H8PMWX5SJ65KP3VYF","01M6RTAV321WB5RAHCWTZMX5CV",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fecc\u002Fbackend-patterns\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"patterns","backend","backend patterns","for","design","server-side","express","next","database optimization","node","js","Next.js","api","architecture patterns","Optimization","server","database","best practices","api design","architecture","2026-11-10 10:12:30",false,"---\nname: outbound-plays\ndescription: Use to craft channel-specific outreach sequences that tie directly to\n  detected intent signals.\n---\n\n# Signal-Aligned Outbound Plays Skill\n\n## When to Use\n- Launching targeted SDR\u002FAE campaigns triggered by specific topics or product usage events.\n- Coordinating multi-channel waves (email, phone, social, executive outreach) rooted in current buying triggers.\n- Ensuring messaging references the exact signals that activated the play.\n\n## Framework\n1. **Trigger Mapping** – list top signals\u002Ftopics and the matched play archetype (e.g., “security spike → exec briefing”).\n2. **Persona Customization** – define copy blocks, value props, and proof points per persona activated by the signal.\n3. **Channel Sequencing** – outline cadence (email → call → social) with timing guidelines based on signal freshness.\n4. **Measurement Plan** – capture metrics per channel (reply rate, meeting rate, pipeline impact) and feedback loops.\n5. **Escalation Paths** – specify when to escalate to exec sponsor, ABM pod, or customer marketing for references.\n\n## Templates\n- Trigger-to-play matrix (signal, persona, playbook, assets needed).\n- Outreach sequence script referencing signal language and talk tracks.\n- Retro doc capturing performance vs control cohorts.\n\n## Tips\n- Reference the exact topic or behavior detected in the first touch to prove relevance.\n- Pair with `suppression-logic` to avoid conflicting outreach when customer success or support is active.\n- Refresh playbooks quarterly to align with evolving product stories and personas.\n\n---\n","# Signal-Aligned Outbound Plays Skill\n\n## When to Use\n- Launching targeted SDR\u002FAE campaigns triggered by specific topics or product usage events.\n- Coordinating multi-channel waves (email, phone, social, executive outreach) rooted in current buying triggers.\n- Ensuring messaging references the exact signals that activated the play.\n\n## Framework\n1. **Trigger Mapping** – list top signals\u002Ftopics and the matched play archetype (e.g., “security spike → exec briefing”).\n2. **Persona Customization** – define copy blocks, value props, and proof points per persona activated by the signal.\n3. **Channel Sequencing** – outline cadence (email → call → social) with timing guidelines based on signal freshness.\n4. **Measurement Plan** – capture metrics per channel (reply rate, meeting rate, pipeline impact) and feedback loops.\n5. **Escalation Paths** – specify when to escalate to exec sponsor, ABM pod, or customer marketing for references.\n\n## Templates\n- Trigger-to-play matrix (signal, persona, playbook, assets needed).\n- Outreach sequence script referencing signal language and talk tracks.\n- Retro doc capturing performance vs control cohorts.\n\n## Tips\n- Reference the exact topic or behavior detected in the first touch to prove relevance.\n- Pair with `suppression-logic` to avoid conflicting outreach when customer success or support is active.\n- Refresh playbooks quarterly to align with evolving product stories and personas.\n\n---\n",{"name":51,"description":52},"outbound-plays","Use to craft channel-specific outreach sequences that tie directly to detected intent signals.","main","e76badf17e06864dd1f99dfd25e14335f1cfeea2",".claude\u002Fskills\u002Fecc\u002Fbackend-patterns","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile","2026-11-08 20:29:14",{"source":8,"skillName":51,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add sakamoto-family-smile\u002Fagent_monorepo --skill outbound-plays",{"tool":65,"command":66},"bunx","bunx skills add sakamoto-family-smile\u002Fagent_monorepo --skill outbound-plays",{"tool":68,"command":69},"pnpm","pnpm dlx skills add sakamoto-family-smile\u002Fagent_monorepo --skill outbound-plays","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fecc\u002Fbackend-patterns\u002FSKILL.md",true,[],[74,105,113,133,156,181],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":86,"publishedAt":46},"01M6RW50THEFSKK42YNR8XFZA1","remotion-video-creation","Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fecc\u002Fremotion-video-creation\u002FSKILL.md",[80,83],{"categoryNo":81,"categoryName":82,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":84,"categoryName":85,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[87,88,89,90,91,92,93,94,95,96,97,43,98,99,100,101,102,103,104,29],"Video","remotion video","remotion video creation","creation","Remotion","Charts","Captions","Audio","3D","Composition","Animation","more","animations","domain-specific","domain","three","Rules","Lottie",{"skillNo":106,"name":107,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":46},"01M6VCJ23NPECPSZJKGY691F75","hotcook-recipes","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002Fhotcook-agent\u002Fdata\u002Fskills\u002Fhotcook-recipes\u002FSKILL.md",[],[111,112],"hotcook recipes","recipes",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":127,"publishedAt":46},"01M6VCHHE00X5XHSDRD1KH1BW2","code-helper","Code review and assistance skill","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002Fagent-system-2\u002Fskills\u002Fcode-helper\u002Fskill.md",[119,122],{"categoryNo":120,"categoryName":121,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[128,129,130,131,132],"code helper","helper","code","code review","review",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":145,"publishedAt":46},"01M6VCH3Q31A20H6SQ1H0J7JB2","research-assistant","Web research assistant skill using Brave Search MCP","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002Fagent-system-1\u002Fskills\u002Fresearch-assistant\u002Fskill.md",[139,142],{"categoryNo":140,"categoryName":141,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":143,"categoryName":144,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[146,147,148,149,150,151,152,153,154,155],"research assistant","research","assistant","MCP","web","search","brave search","web research","brave","web research assistant",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":164,"publishedAt":46},"01M6VCGZZGPNVJSCZ1JTMNZAHY","x-api","X\u002FTwitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fecc\u002Fx-api\u002FSKILL.md",[162,163],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},[165,38,166,167,168,169,29,170,171,172,173,174,26,175,176,177,178,179,151,180],"x api","with","when","limits","rate","threads","reading","native","posting","platform","api integration","twitter","use","auth","analytics","OAuth",{"skillNo":182,"name":183,"nameZh":6,"description":184,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":185,"categories":186,"keywords":188,"publishedAt":46},"01M6VCGVX6DGB1FKTA53QBBCQB","workspace-surface-audit","Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.","https:\u002F\u002Fgithub.com\u002Fsakamoto-family-smile\u002Fagent_monorepo\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fecc\u002Fworkspace-surface-audit\u002FSKILL.md",[187],{"categoryNo":143,"categoryName":144,"taxonomyType":20,"taxonomyTypeDesc":21},[189,190,191,192,149,193,194,130,195,196,197,198,177,199,200,201,202,172,203,167],"workspace surface audit","workspace","audit","hooks","workflows","connectors","capabilities","harness","repo","environment","up","harness setup","active","env","value"]