[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BZDHDRK6MPKQBAQNT6AME":3,"skill-same:01M71BZDHDRK6MPKQBAQNT6AME":83},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":6,"ownerDescription":67,"updatedAt":68,"install":69,"resources":82},"01M71BZDHDRK6MPKQBAQNT6AME","deepseek-offload",null,"Offload task to DeepSeek or other neural lanes (no Agent spawning). Primary DeepSeek entry point — use for flash extraction, pro reasoning, research, and NVIDIA lanes.","nexuslinkproductions\u002Fyuri-os","nexuslinkproductions","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F273246263?v=4","01M718YX9NZRCW50B59B8ZVDKN","Marcel Spatz","01M718YXAQ7530F4B1VKN6SFQV",2,"MIT","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F_SYSTEM\u002Farchive\u002Flegacy-purge-2026-05\u002Fskills-fanout\u002Fdeepseek-offload\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"deepseek","offload","deepseek offload","pro","reasoning","entry","research","plan","router","Neural","task","orchestration","access","forge","use","nemotron","lane","for","NVIDIA","point","2026-11-10 10:12:30",false,"---\nname: deepseek-offload\ndescription: \"Offload task to DeepSeek or other neural lanes (no Agent spawning). Primary DeepSeek entry point — use for flash extraction, pro reasoning, research, and NVIDIA lanes.\"\ntriggers:\n  - \u002Foffload\n  - \u002Fds-flash\n  - \u002Fds-pro\n  - \u002Fresearch\n  - \u002Fdeepseek\n  - \u002Fnvidia\n  - \u002Fnvidia-deepseek\nrouting_note: \"Primary lane router. For structured forge\u002Fplan\u002Fexecute orchestration use \u002Fdeepseek-workhorse. NVIDIA lanes: \u002Fnvidia-deepseek (llama-70b), \u002Fnvidia-nemotron (requires elevated NIM access).\"\n---\n\n# DeepSeek Offload Skill\n\nDirect routing to DeepSeek V4 (Flash\u002FPro) or other neural lanes via `Scripts\u002Foffload.sh`. No Anthropic Agent spawning — cost-conscious execution.\n\n## Usage\n\n### Main command: `\u002Foffload \u003Clane> \u003Cprompt>`\n\n```bash\n\u002Foffload deepseek-v4-flash \"Extract key findings from this report\"\n\u002Foffload deepseek-v4-pro \"Reason through this problem step-by-step\"\n\u002Foffload deepseek-cloud \"Complex code review with thinking enabled\"\n```\n\n### Convenience aliases\n\n```bash\n\u002Fds-flash \"Quick extraction\u002Fsummarization task\"\n\u002Fds-pro \"Deep reasoning, code review, complex analysis\"\n\u002Fresearch \"Research task routed to best available lane\"\n```\n\n## Available Lanes\n\n| Lane | Model | Thinking | Tokens | Timeout | Best For |\n|------|-------|----------|--------|---------|----------|\n| `deepseek-v4-flash` | Flash | No | 4K | 60s | Fast extraction, summaries, simple tasks |\n| `deepseek-v4-pro` | Pro | Yes | 8K | 120s | Code review, reasoning, complex analysis |\n| `deepseek-cloud` | Pro | Yes | 8K | 120s | Same as Pro (alias) |\n| `deepseek-v4-pro-lite-budget` | Pro | No | 1K | 45s | Budget-constrained work |\n\n## Implementation\n\nRoutes via `Scripts\u002Foffload.sh` → `offload-runner.mjs`. Environment:\n- `DEEPSEEK_API_KEY` must be set in `~\u002F.zshrc` (done)\n- Falls back to empty key → lane skips with SKIPPED_MISSING_KEY\n\n## Cost Notes\n\n- **Flash**: ~$0.14 \u002F 1M input, $0.28 \u002F 1M output tokens\n- **Pro**: ~$0.55 \u002F 1M input, $2.19 \u002F 1M output tokens (thinking adds cost)\n- **Pro-lite-budget**: Pro pricing, 1K token cap (cost-effective for triage)\n\nUse Flash for extraction; Pro only for reasoning that needs it.\n\n## Session Notes\n\n### 2026-05-29\n- session: 210m | peak ctx: 54% | compacts: 0\n- tools: Bash×131, Read×93, Edit×92, TodoWrite×10, Write×7, StructuredOutput×5, ToolSearch×1, Workflow×1\n- corrections: none\n- errors: none\n\n### 2026-05-17\n- session: 160m | peak ctx: 0% | compacts: 0\n- tools: Bash×119, Read×52, Edit×34, Write×5, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1\n- corrections: none\n- errors: none\n\n### 2026-05-17\n- session: 157m | peak ctx: 0% | compacts: 0\n- tools: Bash×116, Read×52, Edit×34, Write×5, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1\n- corrections: none\n- errors: none\n\n### 2026-05-05\n- Skill created, all lanes verified wired\n- DeepSeek API key in ~\u002F.zshrc confirmed present\n- Live test: `deepseek-v4-flash \"What is 2+2?\"` → \"The answer is 4.\" ✓\n- No Agent() calls used; direct offload.sh routing only\n","# DeepSeek Offload Skill\n\nDirect routing to DeepSeek V4 (Flash\u002FPro) or other neural lanes via `Scripts\u002Foffload.sh`. No Anthropic Agent spawning — cost-conscious execution.\n\n## Usage\n\n### Main command: `\u002Foffload \u003Clane> \u003Cprompt>`\n\n```bash\n\u002Foffload deepseek-v4-flash \"Extract key findings from this report\"\n\u002Foffload deepseek-v4-pro \"Reason through this problem step-by-step\"\n\u002Foffload deepseek-cloud \"Complex code review with thinking enabled\"\n```\n\n### Convenience aliases\n\n```bash\n\u002Fds-flash \"Quick extraction\u002Fsummarization task\"\n\u002Fds-pro \"Deep reasoning, code review, complex analysis\"\n\u002Fresearch \"Research task routed to best available lane\"\n```\n\n## Available Lanes\n\n| Lane | Model | Thinking | Tokens | Timeout | Best For |\n|------|-------|----------|--------|---------|----------|\n| `deepseek-v4-flash` | Flash | No | 4K | 60s | Fast extraction, summaries, simple tasks |\n| `deepseek-v4-pro` | Pro | Yes | 8K | 120s | Code review, reasoning, complex analysis |\n| `deepseek-cloud` | Pro | Yes | 8K | 120s | Same as Pro (alias) |\n| `deepseek-v4-pro-lite-budget` | Pro | No | 1K | 45s | Budget-constrained work |\n\n## Implementation\n\nRoutes via `Scripts\u002Foffload.sh` → `offload-runner.mjs`. Environment:\n- `DEEPSEEK_API_KEY` must be set in `~\u002F.zshrc` (done)\n- Falls back to empty key → lane skips with SKIPPED_MISSING_KEY\n\n## Cost Notes\n\n- **Flash**: ~$0.14 \u002F 1M input, $0.28 \u002F 1M output tokens\n- **Pro**: ~$0.55 \u002F 1M input, $2.19 \u002F 1M output tokens (thinking adds cost)\n- **Pro-lite-budget**: Pro pricing, 1K token cap (cost-effective for triage)\n\nUse Flash for extraction; Pro only for reasoning that needs it.\n\n## Session Notes\n\n### 2026-05-29\n- session: 210m | peak ctx: 54% | compacts: 0\n- tools: Bash×131, Read×93, Edit×92, TodoWrite×10, Write×7, StructuredOutput×5, ToolSearch×1, Workflow×1\n- corrections: none\n- errors: none\n\n### 2026-05-17\n- session: 160m | peak ctx: 0% | compacts: 0\n- tools: Bash×119, Read×52, Edit×34, Write×5, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1\n- corrections: none\n- errors: none\n\n### 2026-05-17\n- session: 157m | peak ctx: 0% | compacts: 0\n- tools: Bash×116, Read×52, Edit×34, Write×5, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1\n- corrections: none\n- errors: none\n\n### 2026-05-05\n- Skill created, all lanes verified wired\n- DeepSeek API key in ~\u002F.zshrc confirmed present\n- Live test: `deepseek-v4-flash \"What is 2+2?\"` → \"The answer is 4.\" ✓\n- No Agent() calls used; direct offload.sh routing only\n",{"name":5,"triggers":52,"description":7,"routing_note":60},[53,54,55,56,57,58,59],"\u002Foffload","\u002Fds-flash","\u002Fds-pro","\u002Fresearch","\u002Fdeepseek","\u002Fnvidia","\u002Fnvidia-deepseek","Primary lane router. For structured forge\u002Fplan\u002Fexecute orchestration use \u002Fdeepseek-workhorse. NVIDIA lanes: \u002Fnvidia-deepseek (llama-70b), \u002Fnvidia-nemotron (requires elevated NIM access).","main","4c6d8d65f3d6096e2fc25b0845e481dda73c2794","_SYSTEM\u002Farchive\u002Flegacy-purge-2026-05\u002Fskills-fanout\u002Fdeepseek-offload",0,"https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions","Building deterministic AI governance and continuity systems. Workflow architect + visual storyteller","2026-11-14 03:05:17",{"source":8,"skillName":5,"commands":70,"prompt":80,"zipAvailable":81},[71,74,77],{"tool":72,"command":73},"npx","npx skills add nexuslinkproductions\u002Fyuri-os --skill deepseek-offload",{"tool":75,"command":76},"bunx","bunx skills add nexuslinkproductions\u002Fyuri-os --skill deepseek-offload",{"tool":78,"command":79},"pnpm","pnpm dlx skills add nexuslinkproductions\u002Fyuri-os --skill deepseek-offload","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F_SYSTEM\u002Farchive\u002Flegacy-purge-2026-05\u002Fskills-fanout\u002Fdeepseek-offload\u002FSKILL.md",true,[],[84,106,129,157,186,205],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":47},"01M71CG1AME5WC0A79AE65WT0X","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[91,92,93,94,95,96,97,98,99,41,100,101,102,103,104,105],"zoom out","zoom","with","harness","how","section","re","true","understand","perspective","when","you","code","it","context",{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":47},"01M71CFY9ATD0BAXV6B14HFG7C","yuri-shura","6-perspective adversarial review for high-stakes turns (architecture decisions, refactor planning, deployment review) — fans out architect, adversary (7-vector attack), maintainer, ops, product, and security perspectives in parallel, then consolidates. Use when user says 'review this decision', '\u002Fshura', 'adversarial review', 'what could go wrong', 'architecture review', or 'deployment review'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-shura\u002FSKILL.md",[],[113,114,94,115,116,44,117,118,119,120,121,41,122,101,123,124,125,126,127,128],"yuri shura","parallel","architecture review","planning","deployment","vector","strategic review","decision","strategic","ops","workflow","decisions","architecture","review","perspectives","adversarial",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":138,"publishedAt":47},"01M71CFTTYW1HA2MNX38EV1GJ5","yuri-sales-intelligence","Unified sales and outreach skill generating cold outreach openers, social selling sequences, objection rebuttals, and ad creative for any paid platform — multi-persona aware, adapting tone and offer frame to buyer type. Use when user says 'write a cold email', 'outreach sequence', 'objection handling', 'ad copy', or 'sales pitch'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-sales-intelligence\u002FSKILL.md",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",[139,140,141,142,143,144,145,146,147,101,148,149,150,151,152,153,154,44,155,156],"intelligence","sales intelligence","yuri sales intelligence","sales","cold","paid","social","persona","pitch","cold email","ad creative","write","sequences","sequence","platform","email","cold outreach","frame",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":171,"publishedAt":47},"01M71CFQMBFTFADJNGP0Z2WCYK","yuri-code-intelligence","Unified code quality intelligence layer that diagnoses code smells (Long Method, Feature Envy, design pattern issues), prescribes targeted Fowler refactoring techniques, and reviews code for security, performance, and clarity. Use when user says 'review this code', 'refactor this', 'what's wrong with this method', 'code smells', or 'clean this up'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-code-intelligence\u002FSKILL.md",[163,166],{"categoryNo":164,"categoryName":165,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":167,"categoryName":168,"taxonomyType":169,"taxonomyTypeDesc":170},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[172,103,173,139,94,174,175,176,44,177,178,179,180,181,182,183,184,185,41,101],"yuri code intelligence","code intelligence","reviews","code quality","feature","performance","code review","long","up","issues","clean","techniques","improve","design",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":192,"publishedAt":47},"01M71CFP32RT6GD3GKNHCJP8VP","yuri-adw","Invoke when user asks to run the ADW loop \u002F agentic engineering loop \u002F software factory workflow.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-adw\u002FSKILL.md",[],[193,194,195,196,197,198,199,200,201,101,202,123,203,204],"yuri adw","run","engineering loop","software factory","software","agentic engineering","factory","loop","invoke","engineering","agentic","user",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":221,"publishedAt":47},"01M71CFK4VPEKY6A73237P7RSN","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[211,214,217,218],{"categoryNo":212,"categoryName":213,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":215,"categoryName":216,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":219,"categoryName":220,"taxonomyType":169,"taxonomyTypeDesc":170},"01JBSEEDCAT000000000000036","内容创作者",[222,223,224,101,123,225,94,226,117,41,227],"writing","writing skills","new","work","editing","Existing"]