[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BSVWR0M0MEP9CB018THDT":3,"skill-same:01M71BSVWR0M0MEP9CB018THDT":69},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M71BSVWR0M0MEP9CB018THDT","nen-phase-detector",null,"Adaptive phase specialization that sets the work-phase mode (deep_code, design, strategy, research, admin, rest) to tune depth, verbosity, and approach to match what the current phase needs. Use when starting a new work phase, when the user says \"\u002Fnen deep_code\", \"switch to research mode\", \"I need strategy thinking\", or when the task type changes and the approach needs realignment.","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.claude\u002Fskills\u002Fnen-phase-detector\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"phase","detector","nen phase detector","type","task","code","workflow","when","use","new","strategy","design","depth","mode","switch","research mode","thinking","deep","harness","adaptive","2026-11-10 10:12:30",false,"---\nname: nen-phase-detector\ndescription: \"Adaptive phase specialization that sets the work-phase mode (deep_code, design, strategy, research, admin, rest) to tune depth, verbosity, and approach to match what the current phase needs. Use when starting a new work phase, when the user says \\\"\u002Fnen deep_code\\\", \\\"switch to research mode\\\", \\\"I need strategy thinking\\\", or when the task type changes and the approach needs realignment.\"\ntriggers:\n  - \u002Fnen\n  - \u002Fyuri-nen\nscope: harness\ninvocation: workflow\n---\n\n# Nen (念) — Adaptive Phase Specialization\n\n**Source anime:** Hunter × Hunter — Nen is personal life energy (aura) shaped by willpower into 6 categories (Enhancement, Emission, Manipulation, Conjuration, Transmutation, Specialization). Each person has a natural category; forcing the wrong one is inefficient. Mastery means knowing your type and training within it.\n\n**Cognitive translation:** Musubi detects Marcel's current work phase from session context signals and auto-configures its behavior — ensemble composition, lane priority, verbosity, depth — to match what that phase actually requires. Forcing research-mode behavior onto a deep-code session wastes energy. Forcing code-mode behavior onto a strategy session misses the point.\n\n---\n\n## Phase Map\n\n| Nen Phase | Signals | Ensemble | Depth | Lane priority | Verbosity |\n|-----------|---------|----------|-------|--------------|-----------|\n| `deep_code` | Recent commits: code; files: .ts\u002F.py\u002F.mjs; task: fix\u002Fimplement | Codex-first + DeepSeek-flash | max | gpt-5.5 → deepseek-v4-flash | low (code, not prose) |\n| `design` | Files: .html\u002F.css\u002F.tsx; keywords: UI\u002FUX\u002Flayout\u002Fvisual | design-master + DeepSeek-pro | max | deepseek-pro → codex-spark | medium |\n| `strategy` | Keywords: architecture\u002Froadmap\u002Fdecision\u002Fplan | 6-advisor ensemble + Shura | max | deepseek-pro → shura | high |\n| `research` | Keywords: research\u002Finvestigate\u002Fscan\u002Ffind out | knowledge-scout + DeepSeek-flash | medium | deepseek-flash → local | medium |\n| `admin` | Keywords: cleanup\u002Forganize\u002Fupdate\u002Fstatus | minimal (DeepSeek-flash only) | low | deepseek-flash | low |\n| `rest` | Long gaps, short prompts, casual tone | minimal | low | deepseek-flash | low |\n\n---\n\n## Detection Algorithm\n\n### Signal extraction (from session-state.json + recent commits + current prompt)\n\n```\nphase_score = {}\nfor each phase in PHASES:\n  score = 0\n  score += keyword_match(current_prompt, phase.keywords) * 3\n  score += keyword_match(recent_commits, phase.commit_signals) * 2\n  score += file_type_match(touched_files, phase.file_types) * 2\n  score += complexity_tier_match(pulse_plan.complexityTier, phase) * 1\n  phase_score[phase] = score\n\ndetected_phase = argmax(phase_score)\nconfidence = phase_score[detected_phase] \u002F sum(phase_score.values())\n```\n\n### Confidence gate\n- confidence > 0.6: auto-apply phase config, log to session-state.json\n- confidence 0.4–0.6: apply phase config but surface it briefly\n- confidence \u003C 0.4: surface top 2 as options, let Marcel choose\n\n---\n\n## Execution Steps\n\n1. Read recent git commits + current task context\n2. Run the detection heuristic (signals → phase)\n3. Adopt the phase config for the turn: depth, verbosity, approach\n\n---\n\n## Output Format (when surfaced)\n\n```\n⬡ NEN — Phase detected: deep_code [82% confidence]\n  Ensemble: Codex-first + DeepSeek-flash backup\n  Depth: max | Verbosity: low | Priority: gpt-5.5 → deepseek\n  Switching to code-execution mode.\n```\n\n---\n\n## Session Notes\n\n### 2026-06-02\n- session: 22m | peak ctx: 0% | compacts: 0\n- tools: Bash×64, Read×23, WebFetch×4, StructuredOutput×4, Workflow×1\n- corrections: im back again rick, we pull up the latest station we left off from the previous session | commit and push phase 1 then proceed, im going to rest for a bit again (currently sitting in an ICE train from vienna to frankfurt airport, arrival around 13:00.) | ai pipeline offloading as far as im aware is again another routing workaround to achieve that what opus 4.8 does natively, confirm if that is the case, then you should be able to figure out what to do\n- errors: none\n\n### 2026-06-02\n- session: 18m | peak ctx: 0% | compacts: 0\n- tools: Bash×56, Read×20, WebFetch×4, StructuredOutput×3, Workflow×1\n- corrections: im back again rick, we pull up the latest station we left off from the previous session | commit and push phase 1 then proceed, im going to rest for a bit again (currently sitting in an ICE train from vienna to frankfurt airport, arrival around 13:00.)\n- errors: none\n\n### 2026-05-16 — Created\nTools: Write. Part of Musubi Hyper-Intelligence v2 sprint.\nAnime source: Hunter × Hunter — Nen system introduced in the Yorknew City arc. Wing teaches Gon and Killua to use Ten\u002FZetsu\u002FRen\u002FHatsu.\nTranslation principle: Nen categories map to work modes — forcing Enhancement-type (direct action\u002Fpower) behavior during a Specialization-type (creative\u002Funique) task burns energy without results. Phase alignment is efficiency.\n","# Nen (念) — Adaptive Phase Specialization\n\n**Source anime:** Hunter × Hunter — Nen is personal life energy (aura) shaped by willpower into 6 categories (Enhancement, Emission, Manipulation, Conjuration, Transmutation, Specialization). Each person has a natural category; forcing the wrong one is inefficient. Mastery means knowing your type and training within it.\n\n**Cognitive translation:** Musubi detects Marcel's current work phase from session context signals and auto-configures its behavior — ensemble composition, lane priority, verbosity, depth — to match what that phase actually requires. Forcing research-mode behavior onto a deep-code session wastes energy. Forcing code-mode behavior onto a strategy session misses the point.\n\n---\n\n## Phase Map\n\n| Nen Phase | Signals | Ensemble | Depth | Lane priority | Verbosity |\n|-----------|---------|----------|-------|--------------|-----------|\n| `deep_code` | Recent commits: code; files: .ts\u002F.py\u002F.mjs; task: fix\u002Fimplement | Codex-first + DeepSeek-flash | max | gpt-5.5 → deepseek-v4-flash | low (code, not prose) |\n| `design` | Files: .html\u002F.css\u002F.tsx; keywords: UI\u002FUX\u002Flayout\u002Fvisual | design-master + DeepSeek-pro | max | deepseek-pro → codex-spark | medium |\n| `strategy` | Keywords: architecture\u002Froadmap\u002Fdecision\u002Fplan | 6-advisor ensemble + Shura | max | deepseek-pro → shura | high |\n| `research` | Keywords: research\u002Finvestigate\u002Fscan\u002Ffind out | knowledge-scout + DeepSeek-flash | medium | deepseek-flash → local | medium |\n| `admin` | Keywords: cleanup\u002Forganize\u002Fupdate\u002Fstatus | minimal (DeepSeek-flash only) | low | deepseek-flash | low |\n| `rest` | Long gaps, short prompts, casual tone | minimal | low | deepseek-flash | low |\n\n---\n\n## Detection Algorithm\n\n### Signal extraction (from session-state.json + recent commits + current prompt)\n\n```\nphase_score = {}\nfor each phase in PHASES:\n  score = 0\n  score += keyword_match(current_prompt, phase.keywords) * 3\n  score += keyword_match(recent_commits, phase.commit_signals) * 2\n  score += file_type_match(touched_files, phase.file_types) * 2\n  score += complexity_tier_match(pulse_plan.complexityTier, phase) * 1\n  phase_score[phase] = score\n\ndetected_phase = argmax(phase_score)\nconfidence = phase_score[detected_phase] \u002F sum(phase_score.values())\n```\n\n### Confidence gate\n- confidence > 0.6: auto-apply phase config, log to session-state.json\n- confidence 0.4–0.6: apply phase config but surface it briefly\n- confidence \u003C 0.4: surface top 2 as options, let Marcel choose\n\n---\n\n## Execution Steps\n\n1. Read recent git commits + current task context\n2. Run the detection heuristic (signals → phase)\n3. Adopt the phase config for the turn: depth, verbosity, approach\n\n---\n\n## Output Format (when surfaced)\n\n```\n⬡ NEN — Phase detected: deep_code [82% confidence]\n  Ensemble: Codex-first + DeepSeek-flash backup\n  Depth: max | Verbosity: low | Priority: gpt-5.5 → deepseek\n  Switching to code-execution mode.\n```\n\n---\n\n## Session Notes\n\n### 2026-06-02\n- session: 22m | peak ctx: 0% | compacts: 0\n- tools: Bash×64, Read×23, WebFetch×4, StructuredOutput×4, Workflow×1\n- corrections: im back again rick, we pull up the latest station we left off from the previous session | commit and push phase 1 then proceed, im going to rest for a bit again (currently sitting in an ICE train from vienna to frankfurt airport, arrival around 13:00.) | ai pipeline offloading as far as im aware is again another routing workaround to achieve that what opus 4.8 does natively, confirm if that is the case, then you should be able to figure out what to do\n- errors: none\n\n### 2026-06-02\n- session: 18m | peak ctx: 0% | compacts: 0\n- tools: Bash×56, Read×20, WebFetch×4, StructuredOutput×3, Workflow×1\n- corrections: im back again rick, we pull up the latest station we left off from the previous session | commit and push phase 1 then proceed, im going to rest for a bit again (currently sitting in an ICE train from vienna to frankfurt airport, arrival around 13:00.)\n- errors: none\n\n### 2026-05-16 — Created\nTools: Write. Part of Musubi Hyper-Intelligence v2 sprint.\nAnime source: Hunter × Hunter — Nen system introduced in the Yorknew City arc. Wing teaches Gon and Killua to use Ten\u002FZetsu\u002FRen\u002FHatsu.\nTranslation principle: Nen categories map to work modes — forcing Enhancement-type (direct action\u002Fpower) behavior during a Specialization-type (creative\u002Funique) task burns energy without results. Phase alignment is efficiency.\n",{"name":5,"scope":37,"triggers":44,"invocation":25,"description":7},[45,46],"\u002Fnen","\u002Fyuri-nen","main","4c6d8d65f3d6096e2fc25b0845e481dda73c2794",".claude\u002Fskills\u002Fnen-phase-detector",0,"https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions","Building deterministic AI governance and continuity systems. Workflow architect + visual storyteller","2026-11-11 16:42:59",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add nexuslinkproductions\u002Fyuri-os --skill nen-phase-detector",{"tool":61,"command":62},"bunx","bunx skills add nexuslinkproductions\u002Fyuri-os --skill nen-phase-detector",{"tool":64,"command":65},"pnpm","pnpm dlx skills add nexuslinkproductions\u002Fyuri-os --skill nen-phase-detector","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fnen-phase-detector\u002FSKILL.md",true,[],[70,89,112,142,170,189],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":39},"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",[],[77,78,79,37,80,81,82,83,84,27,85,26,86,24,87,88],"zoom out","zoom","with","how","section","re","true","understand","perspective","you","it","context",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":39},"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",[],[96,97,37,98,99,100,101,102,103,104,105,27,106,26,25,107,108,109,110,111],"yuri shura","parallel","architecture review","planning","for","deployment","vector","strategic review","decision","strategic","ops","decisions","architecture","review","perspectives","adversarial",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":123,"publishedAt":39},"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",[118],{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000005","邮件与沟通","SCENARIO","使用场景",[124,125,126,127,128,129,130,131,132,26,133,134,135,136,137,138,139,100,140,141],"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":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":156,"publishedAt":39},"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",[148,151],{"categoryNo":149,"categoryName":150,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":152,"categoryName":153,"taxonomyType":154,"taxonomyTypeDesc":155},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[157,24,158,124,37,159,160,161,100,162,163,164,165,166,167,168,169,30,27,26],"yuri code intelligence","code intelligence","reviews","code quality","feature","performance","code review","long","up","issues","clean","techniques","improve",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":39},"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",[],[177,178,179,180,181,182,183,184,185,26,186,25,187,188],"yuri adw","run","engineering loop","software factory","software","agentic engineering","factory","loop","invoke","engineering","agentic","user",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":207,"publishedAt":39},"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",[195,198,201,204],{"categoryNo":196,"categoryName":197,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":199,"categoryName":200,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":202,"categoryName":203,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":205,"categoryName":206,"taxonomyType":154,"taxonomyTypeDesc":155},"01JBSEEDCAT000000000000036","内容创作者",[208,209,28,26,25,210,37,211,101,27,212],"writing","writing skills","work","editing","Existing"]