[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EZCAQGS91M8TPD86GEKX77":3,"skill-same:01M6EZCAQGS91M8TPD86GEKX77":93},{"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":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6EZCAQGS91M8TPD86GEKX77","narratological-algorithms",null,"Distill artist\u002Ftheorist narrative principles into formal, implementable algorithmic frameworks. Use when asked to extract, formalize, or systematize narrative techniques from any storytelling source—filmmakers, writers, theorists, game designers, showrunners. Triggers on requests involving narrative principle extraction, story structure analysis, craft methodology formalization, or creating implementable storytelling protocols.","luokai0\u002Fai-agent-skills-by-luo-kai","luokai0","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F266954973?v=4","01M6E16VNT42JB8B3X3254QWJ7","luo kai","01M6E16VTFVP6S5XJF1V1MPV90",14,"MIT","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"narratological algorithms","algorithms","frameworks","algorithmic","about","principles","narrative","triggers","storytelling","structure","protocols","craft","Story","shape","use","extract","distill","game","analysis","methodology","2026-11-10 10:12:30",false,"---\nname: narratological-algorithms\ndescription: Distill artist\u002Ftheorist narrative principles into formal, implementable algorithmic frameworks. Use when asked to extract, formalize, or systematize narrative techniques from any storytelling source—filmmakers, writers, theorists, game designers, showrunners. Triggers on requests involving narrative principle extraction, story structure analysis, craft methodology formalization, or creating implementable storytelling protocols.\nlicense: MIT\ngovernance_phases: [frame, shape]\norgan_affinity: [organ-i, organ-ii]\ntriggers: [user-asks-about-narrative, user-asks-about-story-structure, context:narrative-analysis]\n---\n\n# Narratological Algorithm Distillation\n\nTransform narrative principles from artists, theorists, and practitioners into formal, implementable algorithmic frameworks.\n\n## Workflow\n\n### 1. Source Classification\n\nIdentify source type to calibrate extraction approach:\n\n| Type | Characteristics | Extraction Focus |\n|------|-----------------|------------------|\n| **Theorist** | Prescriptive texts (McKee, Aristotle) | Direct principle extraction |\n| **Practitioner** | Interviews, commentary, production docs | Reverse-engineering from stated methods |\n| **Classical** | Ancient\u002Ffoundational texts (Poetics, Natyasastra) | Translation of archaic terminology |\n| **Analyst** | Secondary analysis of creator's work | Validation against primary sources |\n\n### 2. Primary Source Prioritization\n\nAlways prioritize **primary sources** over secondary analysis:\n- Direct quotes from the creator\n- Production documents, interviews, lectures\n- The creator's own articulated methodology\n- Documented working processes\n\nWhen using secondary sources, validate principles against primary evidence. Flag where principles are inferred vs. directly stated.\n\n### 3. Principle Extraction Protocol\n\nFor each identified principle:\n\n```\nEXTRACT:\n  1. Locate source statement (direct quote when available)\n  2. Identify underlying mechanism (why it works)\n  3. Formulate as rule or constraint\n  4. Determine scope (universal vs. context-specific)\n  5. Map to existing narrative theory where applicable\n```\n\n### 4. Document Structure\n\nGenerate output following the canonical structure. See [references\u002Foutput-template.md](references\u002Foutput-template.md) for the full template.\n\n**Required sections:**\n1. Meta-Principles (Axioms)\n2. Structural Hierarchy\n3. Core Algorithms\u002FProtocols\n4. Diagnostic Questions\u002FTests\n5. Quick Reference Card\n\n**Optional sections (as warranted):**\n- Episode\u002FScene Templates\n- Theoretical Correspondence Tables\n- Source Cross-Reference Appendix\n\n### 5. Formalization Patterns\n\nConvert principles to implementable forms:\n\n| Source Form | Target Form |\n|-------------|-------------|\n| Conceptual statement | Constraint rule |\n| Process description | Pseudocode function |\n| Best practice | Validity test |\n| Comparison | Decision table |\n| Taxonomy | Classification tree |\n\nSee [references\u002Fformalization-patterns.md](references\u002Fformalization-patterns.md) for detailed examples.\n\n### 6. Axiom Identification\n\nIdentify 3-7 meta-principles that underpin the creator's entire approach:\n\n```\nAXIOM_CRITERIA:\n  - Foundational (other principles derive from it)\n  - Non-negotiable in the creator's worldview\n  - Distinguishes this approach from alternatives\n  - Stated explicitly or demonstrated consistently\n```\n\nFormat axioms with unique identifiers: `[CREATOR_INITIALS]-A[N]`\n\n### 7. Validation Checks\n\nBefore finalizing, verify:\n\n- [ ] All principles traceable to source material\n- [ ] Pseudocode is syntactically coherent\n- [ ] Decision tables have complete coverage\n- [ ] Quick reference captures essential operations\n- [ ] Diagnostic questions are answerable yes\u002Fno\n- [ ] Theoretical correspondences are accurate\n\n### 8. Cross-Medium Adaptation Notes\n\nWhen source material is medium-specific, include adaptation guidance for:\n- Film → Television (serialization, episode structure)\n- Literature → Interactive (agency, branching)\n- Single creator → Collaborative (writers' room dynamics)\n- Western → Non-Western theoretical traditions\n\n## Reference Files\n\n- **[references\u002Foutput-template.md](references\u002Foutput-template.md)** — Full document structure template\n- **[references\u002Fformalization-patterns.md](references\u002Fformalization-patterns.md)** — Examples of converting prose to algorithms\n- **[references\u002Ftheoretical-correspondences.md](references\u002Ftheoretical-correspondences.md)** — Mapping table across narrative traditions\n","# Narratological Algorithm Distillation\n\nTransform narrative principles from artists, theorists, and practitioners into formal, implementable algorithmic frameworks.\n\n## Workflow\n\n### 1. Source Classification\n\nIdentify source type to calibrate extraction approach:\n\n| Type | Characteristics | Extraction Focus |\n|------|-----------------|------------------|\n| **Theorist** | Prescriptive texts (McKee, Aristotle) | Direct principle extraction |\n| **Practitioner** | Interviews, commentary, production docs | Reverse-engineering from stated methods |\n| **Classical** | Ancient\u002Ffoundational texts (Poetics, Natyasastra) | Translation of archaic terminology |\n| **Analyst** | Secondary analysis of creator's work | Validation against primary sources |\n\n### 2. Primary Source Prioritization\n\nAlways prioritize **primary sources** over secondary analysis:\n- Direct quotes from the creator\n- Production documents, interviews, lectures\n- The creator's own articulated methodology\n- Documented working processes\n\nWhen using secondary sources, validate principles against primary evidence. Flag where principles are inferred vs. directly stated.\n\n### 3. Principle Extraction Protocol\n\nFor each identified principle:\n\n```\nEXTRACT:\n  1. Locate source statement (direct quote when available)\n  2. Identify underlying mechanism (why it works)\n  3. Formulate as rule or constraint\n  4. Determine scope (universal vs. context-specific)\n  5. Map to existing narrative theory where applicable\n```\n\n### 4. Document Structure\n\nGenerate output following the canonical structure. See [references\u002Foutput-template.md](references\u002Foutput-template.md) for the full template.\n\n**Required sections:**\n1. Meta-Principles (Axioms)\n2. Structural Hierarchy\n3. Core Algorithms\u002FProtocols\n4. Diagnostic Questions\u002FTests\n5. Quick Reference Card\n\n**Optional sections (as warranted):**\n- Episode\u002FScene Templates\n- Theoretical Correspondence Tables\n- Source Cross-Reference Appendix\n\n### 5. Formalization Patterns\n\nConvert principles to implementable forms:\n\n| Source Form | Target Form |\n|-------------|-------------|\n| Conceptual statement | Constraint rule |\n| Process description | Pseudocode function |\n| Best practice | Validity test |\n| Comparison | Decision table |\n| Taxonomy | Classification tree |\n\nSee [references\u002Fformalization-patterns.md](references\u002Fformalization-patterns.md) for detailed examples.\n\n### 6. Axiom Identification\n\nIdentify 3-7 meta-principles that underpin the creator's entire approach:\n\n```\nAXIOM_CRITERIA:\n  - Foundational (other principles derive from it)\n  - Non-negotiable in the creator's worldview\n  - Distinguishes this approach from alternatives\n  - Stated explicitly or demonstrated consistently\n```\n\nFormat axioms with unique identifiers: `[CREATOR_INITIALS]-A[N]`\n\n### 7. Validation Checks\n\nBefore finalizing, verify:\n\n- [ ] All principles traceable to source material\n- [ ] Pseudocode is syntactically coherent\n- [ ] Decision tables have complete coverage\n- [ ] Quick reference captures essential operations\n- [ ] Diagnostic questions are answerable yes\u002Fno\n- [ ] Theoretical correspondences are accurate\n\n### 8. Cross-Medium Adaptation Notes\n\nWhen source material is medium-specific, include adaptation guidance for:\n- Film → Television (serialization, episode structure)\n- Literature → Interactive (agency, branching)\n- Single creator → Collaborative (writers' room dynamics)\n- Western → Non-Western theoretical traditions\n\n## Reference Files\n\n- **[references\u002Foutput-template.md](references\u002Foutput-template.md)** — Full document structure template\n- **[references\u002Fformalization-patterns.md](references\u002Fformalization-patterns.md)** — Examples of converting prose to algorithms\n- **[references\u002Ftheoretical-correspondences.md](references\u002Ftheoretical-correspondences.md)** — Mapping table across narrative traditions\n",{"name":5,"license":15,"triggers":44,"description":7,"organ_affinity":48,"governance_phases":51},[45,46,47],"user-asks-about-narrative","user-asks-about-story-structure","context:narrative-analysis",[49,50],"organ-i","organ-ii",[52,32],"frame","main","4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c","ai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms",2,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai","https:\u002F\u002Fgithub.com\u002Fluokai0","a solo builder.","2026-05-06 04:29:04",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill narratological-algorithms",{"tool":67,"command":68},"bunx","bunx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill narratological-algorithms",{"tool":70,"command":71},"pnpm","pnpm dlx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill narratological-algorithms","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002FSKILL.md",true,[75,81,85,89],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"references\u002Fformalization-patterns.md","REFERENCE","参考文档",8173,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002Freferences\u002Fformalization-patterns.md",{"path":82,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":83,"sourceHtmlUrl":84},"references\u002Foutput-template.md",4427,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002Freferences\u002Foutput-template.md",{"path":86,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":87,"sourceHtmlUrl":88},"references\u002Ftheoretical-correspondences.md",6236,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002Freferences\u002Ftheoretical-correspondences.md",{"path":90,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":91,"sourceHtmlUrl":92},"references\u002Fworkflow-integration.md",5814,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F18-organvm-skills\u002Fcreative\u002Fnarratological-algorithms\u002Freferences\u002Fworkflow-integration.md",[94,120,137,167,199,236],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":39},"01M6F2SKTE208174C7S7JJCZC7","write-contracts","Generates secure Aptos Move V2 smart contracts with Object model, Digital Asset integration, security patterns, and storage type guidance. Includes comprehensive storage decision framework for optimal data structure selection. Triggers on: 'write contract', 'create NFT collection', 'build marketplace', 'implement minting', 'generate Move module', 'create token contract', 'build DAO', 'implement staking'. Ask storage questions when: 'store', 'track', 'registry', 'mapping', 'list', 'collection'.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fwrite-contracts\u002FSKILL.md",[],[101,102,103,104,105,106,107,108,109,110,111,112,113,114,28,115,116,117,118,119],"write","contracts","write contracts","storage","secure","create","generate","collection","model","decision","ask","smart-contracts","selection","objects","nft","token","aptos","critical","move",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":39},"01M6F2RFXJ6T9MKW0A7N7GM45B","web-search","通用网络搜索技能，支持多引擎搜索（百度、必应、DuckDuckGo），无需API密钥即可获取实时信息","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fweb-search-ex-skill\u002FSKILL.md",[],[127,128,129,130,131,132,133,134,135,136],"web","search","web search","搜索","baidu","bing","duckduckgo","百度","多引擎","internet",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":148,"publishedAt":39},"01M6F2K968G1FZEZFPW2E6B222","solo-build","Execute implementation plan tasks with TDD workflow, auto-commit, and phase gates. Use when user says \"build it\", \"start building\", \"execute plan\", \"implement tasks\", \"ship it\", or references a track ID. Do NOT use for planning (use \u002Fplan) or scaffolding (use \u002Fscaffold).","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fsolo-build\u002FSKILL.md",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[149,150,151,152,153,154,155,156,128,157,158,159,101,160,161,162,163,164,165,166],"build","solo","solo build","MCP","workflow","commit","tasks","code","Bash","plan","read","auto","references","context7","query","scaffolding","ship it","project",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":179,"publishedAt":39},"01M6F2GKN39SGHSPWYB3662YC8","react-email","Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Freact-email-skills\u002FSKILL.md",[173,176],{"categoryNo":174,"categoryName":175,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":177,"categoryName":178,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000009","前端开发",[180,181,182,183,184,185,186,187,188,189,190,191,192,33,193,194,195,196,197,198],"react","email","react email","github","editor","components","react components","component","welcome","https","notifications","password","node","html","resend","visual","emails","rendering","with",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":217,"publishedAt":39},"01M6F2FBVGVDFSG8SSFJGXA40C","APITester Agent-Driven API Testing","Test API endpoints and document responses. Define tests in plain English, run them, get formatted results. Agent-driven Postman alternative.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fopenclaw-api-tester\u002FSKILL.md",[205,208,211,212],{"categoryNo":206,"categoryName":207,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":209,"categoryName":210,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},{"categoryNo":213,"categoryName":214,"taxonomyType":215,"taxonomyTypeDesc":216},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235],"testing","api","api testing","driven","APITester Agent Driven API Testing","test","run","postman","results","plain english","tester","endpoints","document","get","define","tests","english","api-tester",{"skillNo":237,"name":238,"nameZh":6,"description":239,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":240,"categories":241,"keywords":242,"publishedAt":39},"01M6F273Y3NGAPVJZ608BC0G9G","hubspot-implementation-plan","Generate a phased implementation plan from a HubSpot audit report. Creates prioritized, sequenced cleanup processes with effort estimates, dependencies, and automation feasibility. Use after running \u002Fhubspot-audit.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fhubspot-implementation-plan\u002FSKILL.md",[],[158,243,244,245,246,247,248,107,249,250,251,252,253,33,254,255,198,256],"implementation","hubspot","hubspot implementation plan","automation","feasibility","cleanup","planning","report","audit","audit report","phased implementation","dependencies","processes","hubspot audit"]