[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MBTSPQ9F8K28SJHDF4EPYN":3,"skill-same:01M6MBTSPQ9F8K28SJHDF4EPYN":116},{"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":37,"publishedAt":59,"linkOnly":60,"markdownContent":61,"markdownBody":62,"frontMatter":63,"refName":70,"commitSha":71,"skillDirectory":72,"forksCount":73,"repositoryHtmlUrl":74,"repositoryHomepageUrl":75,"ownerHtmlUrl":76,"ownerBlogUrl":77,"ownerDescription":78,"updatedAt":79,"install":80,"resources":93},"01M6MBTSPQ9F8K28SJHDF4EPYN","ab-test-results-readout",null,"Analyze and communicate A\u002FB test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. Use when interpreting experiment results, preparing an A\u002FB test report, explaining flat or mixed results, checking guardrails, segmenting test\u002Fcontrol data, or turning experiment data into a product decision.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1554,"MIT","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002FSKILL.md",[18,23,26,29,34],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",{"categoryNo":35,"categoryName":36,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000033","数据分析师",[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58],"test","ab test results readout","ab test","ab","results","when","testing","experimentation","recommendations","data-quality","practical","test report","decision","analyze","analysis","Guardrails","data","product","code","visualization","analytics","2026-11-10 10:12:30",false,"---\nname: ab-test-results-readout\ndescription: Analyze and communicate A\u002FB test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. Use when interpreting experiment results, preparing an A\u002FB test report, explaining flat or mixed results, checking guardrails, segmenting test\u002Fcontrol data, or turning experiment data into a product decision.\nlicense: MIT\ncompatibility: Codex, Claude Code, and other Agent Skills-compatible clients.\nmetadata:\n  version: \"0.1.0\"\n  displayName: A\u002FB Test Results Readout\n  category: Product Management\n  tags: practical-ab-testing,ab-testing,experimentation,analytics,data-visualization\n---\n\n# A\u002FB Test Results Readout\n\nUse this skill to turn experiment data into a clear decision. It emphasizes\nmetric interpretation, data-quality checks, subgroup analysis, ad hoc analysis,\nvisualization, and launch recommendations.\n\n## Source Traceability\n\nPrimary source: Practical A\u002FB Testing by Leemay Nassery. Guidance is\ntransformed and paraphrased from chapter 4 lines 2950-3742 and chapter 1 lines\n572-718. Metric tradeoff context comes from chapter 2 lines 1296-1472.\n\n## Related Advanced Skills\n\n- `trustworthy-experiment-insights`: use when the readout needs false positive,\n  false negative, power, replication, meta-analysis, or suspicious-lift review.\n- `experiment-verification-monitoring`: use when result interpretation depends\n  on whether assignment, exposure, metrics, canaries, or active monitoring were\n  healthy.\n- `long-term-impact-evaluation`: use when short-term readout is not enough to\n  decide durable product or business impact.\n\n## Reference Routing\n\n| Need | Read |\n|------|------|\n| Readout concepts | `references\u002Fcore\u002Fknowledge.md` |\n| Analysis and reporting rules | `references\u002Fcore\u002Frules.md` |\n| Example readouts | `references\u002Fcore\u002Fexamples.md` |\n| Step-by-step report workflow | `workflows\u002Fprepare-results-readout.md` |\n\n## Workflow\n\n1. Reconstruct the test design: hypothesis, variants, population, and metrics.\n2. Verify data quality and whether exposure\u002Feligibility match the brief.\n3. Compare primary and guardrail metrics against baseline and decision rules.\n4. Run subgroup analysis when averages obscure meaningful differences.\n5. Investigate outliers, missing data, or surprising movement.\n6. Visualize results so stakeholders can compare control, test, and segments.\n7. Recommend ship, stop, iterate, or investigate with caveats.\n\n## Output Format\n\n```markdown\n# A\u002FB Test Results Readout\n\n## Executive Decision\n[Ship | Stop | Iterate | Investigate] because [reason].\n\n## Test Summary\n- Hypothesis:\n- Population:\n- Control:\n- Test:\n- Run window:\n\n## Metric Results\n| Metric | Role | Control | Test | Change | Interpretation |\n|--------|------|---------|------|--------|----------------|\n\n## Segment Findings\n| Segment | What changed | Decision impact |\n|---------|--------------|-----------------|\n\n## Data Quality Notes\n- Eligibility\u002Fexposure:\n- Missing data:\n- Outliers:\n- Instrumentation concerns:\n\n## Recommendation\n- Decision:\n- Rollout conditions:\n- Follow-up analysis:\n```\n\n## Quality Bar\n\n- Do not hide guardrail regressions behind a primary-metric win.\n- Do not overstate subgroup findings; label them exploratory when not\n  pre-planned.\n- Do not show only averages when the product decision depends on user groups.\n- Use charts to clarify comparisons, not to decorate the readout.\n","# A\u002FB Test Results Readout\n\nUse this skill to turn experiment data into a clear decision. It emphasizes\nmetric interpretation, data-quality checks, subgroup analysis, ad hoc analysis,\nvisualization, and launch recommendations.\n\n## Source Traceability\n\nPrimary source: Practical A\u002FB Testing by Leemay Nassery. Guidance is\ntransformed and paraphrased from chapter 4 lines 2950-3742 and chapter 1 lines\n572-718. Metric tradeoff context comes from chapter 2 lines 1296-1472.\n\n## Related Advanced Skills\n\n- `trustworthy-experiment-insights`: use when the readout needs false positive,\n  false negative, power, replication, meta-analysis, or suspicious-lift review.\n- `experiment-verification-monitoring`: use when result interpretation depends\n  on whether assignment, exposure, metrics, canaries, or active monitoring were\n  healthy.\n- `long-term-impact-evaluation`: use when short-term readout is not enough to\n  decide durable product or business impact.\n\n## Reference Routing\n\n| Need | Read |\n|------|------|\n| Readout concepts | `references\u002Fcore\u002Fknowledge.md` |\n| Analysis and reporting rules | `references\u002Fcore\u002Frules.md` |\n| Example readouts | `references\u002Fcore\u002Fexamples.md` |\n| Step-by-step report workflow | `workflows\u002Fprepare-results-readout.md` |\n\n## Workflow\n\n1. Reconstruct the test design: hypothesis, variants, population, and metrics.\n2. Verify data quality and whether exposure\u002Feligibility match the brief.\n3. Compare primary and guardrail metrics against baseline and decision rules.\n4. Run subgroup analysis when averages obscure meaningful differences.\n5. Investigate outliers, missing data, or surprising movement.\n6. Visualize results so stakeholders can compare control, test, and segments.\n7. Recommend ship, stop, iterate, or investigate with caveats.\n\n## Output Format\n\n```markdown\n# A\u002FB Test Results Readout\n\n## Executive Decision\n[Ship | Stop | Iterate | Investigate] because [reason].\n\n## Test Summary\n- Hypothesis:\n- Population:\n- Control:\n- Test:\n- Run window:\n\n## Metric Results\n| Metric | Role | Control | Test | Change | Interpretation |\n|--------|------|---------|------|--------|----------------|\n\n## Segment Findings\n| Segment | What changed | Decision impact |\n|---------|--------------|-----------------|\n\n## Data Quality Notes\n- Eligibility\u002Fexposure:\n- Missing data:\n- Outliers:\n- Instrumentation concerns:\n\n## Recommendation\n- Decision:\n- Rollout conditions:\n- Follow-up analysis:\n```\n\n## Quality Bar\n\n- Do not hide guardrail regressions behind a primary-metric win.\n- Do not overstate subgroup findings; label them exploratory when not\n  pre-planned.\n- Do not show only averages when the product decision depends on user groups.\n- Use charts to clarify comparisons, not to decorate the readout.\n",{"name":5,"license":15,"metadata":64,"description":7,"compatibility":69},{"tags":65,"version":66,"category":67,"displayName":68},"practical-ab-testing,ab-testing,experimentation,analytics,data-visualization","0.1.0","Product Management","A\u002FB Test Results Readout","Codex, Claude Code, and other Agent Skills-compatible clients.","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout",468,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-11 02:22:54",{"source":8,"skillName":5,"commands":81,"prompt":91,"zipAvailable":92},[82,85,88],{"tool":83,"command":84},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill ab-test-results-readout",{"tool":86,"command":87},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill ab-test-results-readout",{"tool":89,"command":90},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill ab-test-results-readout","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002FSKILL.md",true,[94,100,104,108,112],{"path":95,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":98,"sourceHtmlUrl":99},"guidelines.md","REFERENCE","参考文档",1476,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002Fguidelines.md",{"path":101,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":102,"sourceHtmlUrl":103},"references\u002Fcore\u002Fexamples.md",1449,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002Freferences\u002Fcore\u002Fexamples.md",{"path":105,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":106,"sourceHtmlUrl":107},"references\u002Fcore\u002Fknowledge.md",2272,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002Freferences\u002Fcore\u002Fknowledge.md",{"path":109,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":110,"sourceHtmlUrl":111},"references\u002Fcore\u002Frules.md",1770,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002Freferences\u002Fcore\u002Frules.md",{"path":113,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":114,"sourceHtmlUrl":115},"workflows\u002Fprepare-results-readout.md",2032,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fab-test-results-readout\u002Fworkflows\u002Fprepare-results-readout.md",[117,144,169,199,220,234],{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":121,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":59},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[125,126,127,128,129,130,131,132,133,134,135,43,136,137,138,139,140,141,142,143],"search","deja search","error","ready","never","memory","re","decide","fix","design","debugging","you","done","reviewer","io","change","cli","merge","past",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":121,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":150,"publishedAt":59},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[151,152,153,154,130,155,156,157,158,159,160,161,162,139,163,164,165,166,167,168],"reflect","deja reflect","brew","remember","project rules","project","session","end","reflection","Rules","decisions","review","with","record","github","next","https","node",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":121,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":182,"publishedAt":59},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[175,178,181],{"categoryNo":176,"categoryName":177,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":179,"categoryName":180,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[171,183,184,185,186,187,156,188,131,189,190,191,192,43,193,194,195,196,197,198],"Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","URL","image","mcp server","schedule","api","publish",{"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":121,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":205,"publishedAt":59},"01M71569ZM2X3H5RBFK8PVKMK2","review-study","Review a QuestionPunk survey before launch for wording, answer choices, branching, and missing settings. Use for check my survey or review this draft before publishing.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Freview-study\u002FSKILL.md",[],[206,207,162,208,209,210,211,212,213,214,215,216,217,218,219],"study","review study","for","answer","missing","survey","publishing","use","check","draft","settings","launch","my","branching",{"skillNo":221,"name":222,"nameZh":6,"description":223,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":121,"licenseFileUrl":6,"sourceHtmlUrl":224,"categories":225,"keywords":226,"publishedAt":59},"01M71567GV0C35YQBY0DPGR86B","manage-study","Find QuestionPunk studies, check status, publish an explicitly requested draft, or retrieve its participant link. Use for find my survey, publish this study, or how many people responded.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fmanage-study\u002FSKILL.md",[],[227,206,228,208,211,213,229,214,215,198,230,231,232,233,218],"manage study","manage","people","how","find","link","status",{"skillNo":235,"name":236,"nameZh":6,"description":237,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":121,"licenseFileUrl":6,"sourceHtmlUrl":238,"categories":239,"keywords":240,"publishedAt":59},"01M71565A8TCA01AZQZRGRYMFZ","create-study","Create a saved QuestionPunk survey draft from a research brief or edit specified questions. Use for requests such as make a customer feedback survey or shorten my onboarding study.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fcreate-study\u002FSKILL.md",[],[241,206,242,243,244,245,208,246,211,247,213,248,249,215,250,251,252,253,254,218],"create study","create","brief","as","feedback","customer feedback","research brief","shorten","saved","research","requests","customer","questions","edit"]