[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EM12FXK6K77MATATTSZX46":3,"skill-same:01M6EM12FXK6K77MATATTSZX46":84},{"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":23,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6EM12FXK6K77MATATTSZX46","paper-narrative-archetypes",null,"Select a narrative archetype from the RESULTS SHAPE (null-result, heterogeneity\u002Ftargeting, methods-comparison, effect-with-implications) and structure the paper around it — papers must not all read the same.","cgpan\u002Fedm-ars-public","cgpan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F118746117?v=4","01M6EKT5TG36Q3GH340QN8RH08","Chenguang Pan","01M6EKT5YTQVRARGJF0VPA1SY7",5,"MIT","https:\u002F\u002Fgithub.com\u002Fcgpan\u002Fedm-ars-public\u002Fblob\u002Fmain\u002Fskills\u002Fwriting\u002Fpaper-narrative-archetypes\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"paper narrative archetypes","narrative","paper","archetypes","Story","it","style","structure","writer","methods","writing","shape","results","read","effect","Rules","select","2026-11-10 10:12:30",false,"---\nname: paper-narrative-archetypes\nlayer: writing\ndescription: Select a narrative archetype from the RESULTS SHAPE (null-result, heterogeneity\u002Ftargeting, methods-comparison, effect-with-implications) and structure the paper around it — papers must not all read the same.\ntrigger_keywords:\n  - narrative\n  - archetype\n  - story\n  - framing\n  - structure\napplicable_task_types: []\napplicable_datasets: []\napplicable_stages:\n  - OutlineAgent\n  - Writer\npriority: 1\nreferences_skills:\n  - paper-writing-style-rules\nresources: []\nversion: \"1.0\"\nrule_severity: mandatory\n---\n\n# Narrative Archetypes (Arc S)\n\nA paper's structure should follow its FINDINGS, not a fixed template.\nPick ONE archetype using the deterministic selection rule, name it in\nthe outline's `narrative_hook`, and let it drive section emphasis.\n\n## Selection rule (apply in order, first match wins)\n\n1. **Null-result paper** — the headline CI covers zero (prediction:\n   best model ≈ baseline; causal: effect CI spans 0; ITR: value-gain\n   CI spans 0). The null IS the story: lead with it, devote Discussion\n   to what the well-estimated null rules out and for whom.\n2. **Heterogeneity \u002F targeting paper** — subgroup gaps > 5%, CATE\n   spread is substantial, or an ITR rule with a positive gain. The\n   average is the backdrop; the WHO-differs question is the spine.\n3. **Methods-comparison paper** — estimators\u002Fmodels materially\n   disagree (beyond 2 SE) or a robustness battery is the most\n   informative output. The disagreement is the finding; explain WHY\n   the methods diverge on this data.\n4. **Effect-with-implications paper** — a clear, robust effect.\n   Classic arc, but the Discussion must earn it: concrete decisions a\n   school\u002Fpolicymaker would change.\n\n## Per-archetype emphasis\n\n| Archetype | Expand | Compress |\n|---|---|---|\n| Null-result | Discussion (what the null excludes), power\u002Fprecision framing | Related-work tour |\n| Heterogeneity\u002Ftargeting | Subgroup\u002Frule sections, fairness of targeting | Average-effect exposition |\n| Methods-comparison | Methods + the divergence anatomy | Implications |\n| Effect-with-implications | Implications, mechanisms | Methods minutiae |\n\n## Anti-sameness rules\n\n- Two papers with different archetypes must not share their opening\n  paragraph structure. Do not open every abstract with \"In this\n  study, we...\".\n- The title should signal the archetype (a null-result paper's title\n  says so — \"No Detectable...\", \"Little Evidence That...\").\n- Never force archetype 4's triumphant arc onto shapes 1–3; that is\n  the formulaic failure this skill exists to prevent.\n\n## Source provenance\n\nAuthored in V3.7 Arc S per the v4 roadmap (internal) §6; extends the\nOutlineAgent emphasis-trigger mechanism.\n","# Narrative Archetypes (Arc S)\n\nA paper's structure should follow its FINDINGS, not a fixed template.\nPick ONE archetype using the deterministic selection rule, name it in\nthe outline's `narrative_hook`, and let it drive section emphasis.\n\n## Selection rule (apply in order, first match wins)\n\n1. **Null-result paper** — the headline CI covers zero (prediction:\n   best model ≈ baseline; causal: effect CI spans 0; ITR: value-gain\n   CI spans 0). The null IS the story: lead with it, devote Discussion\n   to what the well-estimated null rules out and for whom.\n2. **Heterogeneity \u002F targeting paper** — subgroup gaps > 5%, CATE\n   spread is substantial, or an ITR rule with a positive gain. The\n   average is the backdrop; the WHO-differs question is the spine.\n3. **Methods-comparison paper** — estimators\u002Fmodels materially\n   disagree (beyond 2 SE) or a robustness battery is the most\n   informative output. The disagreement is the finding; explain WHY\n   the methods diverge on this data.\n4. **Effect-with-implications paper** — a clear, robust effect.\n   Classic arc, but the Discussion must earn it: concrete decisions a\n   school\u002Fpolicymaker would change.\n\n## Per-archetype emphasis\n\n| Archetype | Expand | Compress |\n|---|---|---|\n| Null-result | Discussion (what the null excludes), power\u002Fprecision framing | Related-work tour |\n| Heterogeneity\u002Ftargeting | Subgroup\u002Frule sections, fairness of targeting | Average-effect exposition |\n| Methods-comparison | Methods + the divergence anatomy | Implications |\n| Effect-with-implications | Implications, mechanisms | Methods minutiae |\n\n## Anti-sameness rules\n\n- Two papers with different archetypes must not share their opening\n  paragraph structure. Do not open every abstract with \"In this\n  study, we...\".\n- The title should signal the archetype (a null-result paper's title\n  says so — \"No Detectable...\", \"Little Evidence That...\").\n- Never force archetype 4's triumphant arc onto shapes 1–3; that is\n  the formulaic failure this skill exists to prevent.\n\n## Source provenance\n\nAuthored in V3.7 Arc S per the v4 roadmap (internal) §6; extends the\nOutlineAgent emphasis-trigger mechanism.\n",{"name":5,"layer":34,"version":46,"priority":47,"resources":48,"description":7,"rule_severity":49,"trigger_keywords":50,"applicable_stages":54,"references_skills":57,"applicable_datasets":59,"applicable_task_types":60},"1.0",1,[],"mandatory",[25,51,52,53,31],"archetype","story","framing",[55,56],"OutlineAgent","Writer",[58],"paper-writing-style-rules",[],[],"main","1aeaead66d2bf876109f3b101005d2eed54041d9","skills\u002Fwriting\u002Fpaper-narrative-archetypes",0,"https:\u002F\u002Fgithub.com\u002Fcgpan\u002Fedm-ars-public","https:\u002F\u002Fgithub.com\u002Fcgpan","https:\u002F\u002Fcpan.ai","Ph.D. candidate in Measurement, Evaluation, and Statistics.","2026-09-28 20:39:06",{"source":8,"skillName":5,"commands":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add cgpan\u002Fedm-ars-public --skill paper-narrative-archetypes",{"tool":76,"command":77},"bunx","bunx skills add cgpan\u002Fedm-ars-public --skill paper-narrative-archetypes",{"tool":79,"command":80},"pnpm","pnpm dlx skills add cgpan\u002Fedm-ars-public --skill paper-narrative-archetypes","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcgpan\u002Fedm-ars-public\u002Fblob\u002Fmain\u002Fskills\u002Fwriting\u002Fpaper-narrative-archetypes\u002FSKILL.md",true,[],[85,103,117,126,139,150],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":99,"publishedAt":41},"01M6EM1ZTQZVAP90DZTVBHCCFB","acm-fixture","Fixture writing skill for ACM acmart sigconf paper output.","https:\u002F\u002Fgithub.com\u002Fcgpan\u002Fedm-ars-public\u002Fblob\u002Fmain\u002Ftests\u002Ffixtures\u002Fskills\u002Fwriting\u002Facm-fixture\u002FSKILL.md",[91,94],{"categoryNo":92,"categoryName":93,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[100,101,34,102,32,26],"acm fixture","fixture","LaTeX",{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":41},"01M6EM1XNFETAZFGPHQPAXKBYN","prediction-fixture","Fixture skill for the prediction task type; 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