[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KBV1VT81QB46NB0EY2K4BA":3,"skill-same:01M6KBV1VT81QB46NB0EY2K4BA":77},{"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":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":6,"ownerHtmlUrl":44,"ownerBlogUrl":45,"ownerDescription":6,"updatedAt":46,"install":47,"resources":60},"01M6KBV1VT81QB46NB0EY2K4BA","experiment-designer",null,"Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A\u002FB outcomes with practical statistical rigor.","afaizalam2003\u002FMaster-claude-skill","afaizalam2003","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F222019359?v=4","01M6K8F2XNT0HKBPF00JQ78SV3","Faiz Alam","01M6K8F31EBXAPER0EG8R9HTR5",3,"MIT","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fproduct-team\u002Fexperiment-designer\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33],"designer","experiment designer","experiment","writing","experiments","planning","product","use","outcomes","practical","sample","tests","with","size","sample size","2026-11-10 10:12:30",false,"---\nname: experiment-designer\ndescription: Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A\u002FB outcomes with practical statistical rigor.\n---\n\n# Experiment Designer\n\nDesign, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions.\n\n## When To Use\n\nUse this skill for:\n- A\u002FB and multivariate experiment planning\n- Hypothesis writing and success criteria definition\n- Sample size and minimum detectable effect planning\n- Experiment prioritization with ICE scoring\n- Reading statistical output for product decisions\n\n## Core Workflow\n\n1. Write hypothesis in If\u002FThen\u002FBecause format\n- If we change `[intervention]`\n- Then `[metric]` will change by `[expected direction\u002Fmagnitude]`\n- Because `[behavioral mechanism]`\n\n2. Define metrics before running test\n- Primary metric: single decision metric\n- Guardrail metrics: quality\u002Frisk protection\n- Secondary metrics: diagnostics only\n\n3. Estimate sample size\n- Baseline conversion or baseline mean\n- Minimum detectable effect (MDE)\n- Significance level (alpha) and power\n\nUse:\n```bash\npython3 scripts\u002Fsample_size_calculator.py --baseline-rate 0.12 --mde 0.02 --mde-type absolute\n```\n\n4. Prioritize experiments with ICE\n- Impact: potential upside\n- Confidence: evidence quality\n- Ease: cost\u002Fspeed\u002Fcomplexity\n\nICE Score = (Impact * Confidence * Ease) \u002F 10\n\n5. Launch with stopping rules\n- Decide fixed sample size or fixed duration in advance\n- Avoid repeated peeking without proper method\n- Monitor guardrails continuously\n\n6. Interpret results\n- Statistical significance is not business significance\n- Compare point estimate + confidence interval to decision threshold\n- Investigate novelty effects and segment heterogeneity\n\n## Hypothesis Quality Checklist\n\n- [ ] Contains explicit intervention and audience\n- [ ] Specifies measurable metric change\n- [ ] States plausible causal reason\n- [ ] Includes expected minimum effect\n- [ ] Defines failure condition\n\n## Common Experiment Pitfalls\n\n- Underpowered tests leading to false negatives\n- Running too many simultaneous changes without isolation\n- Changing targeting or implementation mid-test\n- Stopping early on random spikes\n- Ignoring sample ratio mismatch and instrumentation drift\n- Declaring success from p-value without effect-size context\n\n## Statistical Interpretation Guardrails\n\n- p-value \u003C alpha indicates evidence against null, not guaranteed truth.\n- Confidence interval crossing zero\u002Fno-effect means uncertain directional claim.\n- Wide intervals imply low precision even when significant.\n- Use practical significance thresholds tied to business impact.\n\nSee:\n- `references\u002Fexperiment-playbook.md`\n- `references\u002Fstatistics-reference.md`\n\n## Tooling\n\n### `scripts\u002Fsample_size_calculator.py`\n\nComputes required sample size (per variant and total) from:\n- baseline rate\n- MDE (absolute or relative)\n- significance level (alpha)\n- statistical power\n\nExample:\n```bash\npython3 scripts\u002Fsample_size_calculator.py \\\n  --baseline-rate 0.10 \\\n  --mde 0.015 \\\n  --mde-type absolute \\\n  --alpha 0.05 \\\n  --power 0.8\n```\n","# Experiment Designer\n\nDesign, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions.\n\n## When To Use\n\nUse this skill for:\n- A\u002FB and multivariate experiment planning\n- Hypothesis writing and success criteria definition\n- Sample size and minimum detectable effect planning\n- Experiment prioritization with ICE scoring\n- Reading statistical output for product decisions\n\n## Core Workflow\n\n1. Write hypothesis in If\u002FThen\u002FBecause format\n- If we change `[intervention]`\n- Then `[metric]` will change by `[expected direction\u002Fmagnitude]`\n- Because `[behavioral mechanism]`\n\n2. Define metrics before running test\n- Primary metric: single decision metric\n- Guardrail metrics: quality\u002Frisk protection\n- Secondary metrics: diagnostics only\n\n3. Estimate sample size\n- Baseline conversion or baseline mean\n- Minimum detectable effect (MDE)\n- Significance level (alpha) and power\n\nUse:\n```bash\npython3 scripts\u002Fsample_size_calculator.py --baseline-rate 0.12 --mde 0.02 --mde-type absolute\n```\n\n4. Prioritize experiments with ICE\n- Impact: potential upside\n- Confidence: evidence quality\n- Ease: cost\u002Fspeed\u002Fcomplexity\n\nICE Score = (Impact * Confidence * Ease) \u002F 10\n\n5. Launch with stopping rules\n- Decide fixed sample size or fixed duration in advance\n- Avoid repeated peeking without proper method\n- Monitor guardrails continuously\n\n6. Interpret results\n- Statistical significance is not business significance\n- Compare point estimate + confidence interval to decision threshold\n- Investigate novelty effects and segment heterogeneity\n\n## Hypothesis Quality Checklist\n\n- [ ] Contains explicit intervention and audience\n- [ ] Specifies measurable metric change\n- [ ] States plausible causal reason\n- [ ] Includes expected minimum effect\n- [ ] Defines failure condition\n\n## Common Experiment Pitfalls\n\n- Underpowered tests leading to false negatives\n- Running too many simultaneous changes without isolation\n- Changing targeting or implementation mid-test\n- Stopping early on random spikes\n- Ignoring sample ratio mismatch and instrumentation drift\n- Declaring success from p-value without effect-size context\n\n## Statistical Interpretation Guardrails\n\n- p-value \u003C alpha indicates evidence against null, not guaranteed truth.\n- Confidence interval crossing zero\u002Fno-effect means uncertain directional claim.\n- Wide intervals imply low precision even when significant.\n- Use practical significance thresholds tied to business impact.\n\nSee:\n- `references\u002Fexperiment-playbook.md`\n- `references\u002Fstatistics-reference.md`\n\n## Tooling\n\n### `scripts\u002Fsample_size_calculator.py`\n\nComputes required sample size (per variant and total) from:\n- baseline rate\n- MDE (absolute or relative)\n- significance level (alpha)\n- statistical power\n\nExample:\n```bash\npython3 scripts\u002Fsample_size_calculator.py \\\n  --baseline-rate 0.10 \\\n  --mde 0.015 \\\n  --mde-type absolute \\\n  --alpha 0.05 \\\n  --power 0.8\n```\n",{"name":5,"description":7},"main","0b48cbb0e6d5be6ff68c0f6b28bc0c65ee21c4a1","product-team\u002Fexperiment-designer",2,"https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill","https:\u002F\u002Fgithub.com\u002Fafaizalam2003","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmdfaizalam2003\u002F","2026-04-01 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experiment-designer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fproduct-team\u002Fexperiment-designer\u002FSKILL.md",true,[61,67,71],{"path":62,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":65,"sourceHtmlUrl":66},"references\u002Fexperiment-playbook.md","REFERENCE","参考文档",1934,"https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fproduct-team\u002Fexperiment-designer\u002Freferences\u002Fexperiment-playbook.md",{"path":68,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":69,"sourceHtmlUrl":70},"references\u002Fstatistics-reference.md",1546,"https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fproduct-team\u002Fexperiment-designer\u002Freferences\u002Fstatistics-reference.md",{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"scripts\u002Fsample_size_calculator.py","SCRIPT","脚本",3024,"https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fproduct-team\u002Fexperiment-designer\u002Fscripts\u002Fsample_size_calculator.py",[78,109,133,158,190,210],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":89,"publishedAt":34},"01M6KC4E8MYR9DBAZTAXHKYMMH","soc2-compliance","Use when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fsoc2-compliance\u002FSKILL.md",[84],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[90,91,92,93,94,95,96,97,26,98,99,100,101,102,103,104,105,106,107,108],"compliance","soc2","soc2 compliance","audit evidence","audit","collect","soc","analysis","evidence","trust","build","map","control","type","gap","readiness","gap analysis","assess","for",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":34},"01M6KC461R3GKGZ1TAYHVR1MW9","risk-management-specialist","Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use when user mentions risk management, ISO 14971, risk analysis, FMEA, fault tree analysis, hazard identification, risk control, risk matrix, benefit-risk analysis, residual risk, risk acceptability, or post-market risk.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Frisk-management-specialist\u002FSKILL.md",[],[116,117,118,119,120,25,121,122,97,26,123,124,125,126,127,128,129,130,131,132],"risk","risk management specialist","management","risk management","risk evaluation","Evaluation","lifecycle","risk matrix","iso","medical","iso 14971","identification","information","post-production","tree","matrix","implementing",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":139,"publishedAt":34},"01M6KC3HF5ZFSSP2NZF68PEPFB","regulatory-affairs-head","Senior Regulatory Affairs Manager for HealthTech and MedTech companies. Prepares FDA 510(k), De Novo, and PMA submission packages; analyzes regulatory pathways for new medical devices; drafts responses to FDA deficiency letters and Notified Body queries; develops CE marking technical documentation under EU MDR 2017\u002F745; coordinates multi-market approval strategies across FDA, EU, Health Canada, PMDA, and NMPA; and maintains regulatory intelligence on evolving standards. Use when users need to plan or execute FDA submissions, navigate 510(k) or PMA approval processes, achieve CE marking, prepare pre-submission meeting materials, write regulatory strategy documents, respond to agency queries, or manage compliance documentation for medical device market access.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fregulatory-affairs-head\u002FSKILL.md",[],[140,141,142,143,144,145,146,147,148,26,149,150,151,152,153,154,155,156,157,108],"regulatory affairs head","regulatory","head","documents","devices","health","plan","write","strategy","standards","queries","manage","strategies","de","users","respond","medical devices","manager",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":172,"publishedAt":34},"01M6KC34Z8M1559EY1CXYBJB1A","quality-manager-qms-iso13485","ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-manager-qms-iso13485\u002FSKILL.md",[164,169],{"categoryNo":165,"categoryName":166,"taxonomyType":167,"taxonomyTypeDesc":168},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":170,"categoryName":171,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000032","设计师",[173,174,157,175,176,177,178,179,180,26,181,182,183,184,185,186,187,188,108,189],"quality manager qms iso13485","quality","design","workflows","validation","actions","certification","system","maintenance","document","systems","records","ISO 13485","organizations","corrective action","internal audit","preparation",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":197,"publishedAt":34},"01M6KC2FXHBHXYX2ZZ17Y3GDB4","quality-manager-qmr","Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-manager-qmr\u002FSKILL.md",[196],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[198,174,157,199,200,201,202,203,90,204,180,205,141,206,207,208,124,185,108,209],"quality manager qmr","review","policy","performance","governance","monitoring","regulatory compliance","oversight","cost","culture","leadership","person",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":223,"publishedAt":34},"01M6KC1VRR5JTDBNZANHPS6VR6","quality-documentation-manager","Document control system management for medical device QMS. Covers document numbering, version control, change management, and 21 CFR Part 11 compliance. Use for document control procedures, change control workflow, document numbering, version management, electronic signature compliance, or regulatory documentation review.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-documentation-manager\u002FSKILL.md",[216,219,222],{"categoryNo":217,"categoryName":218,"taxonomyType":167,"taxonomyTypeDesc":168},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":220,"categoryName":221,"taxonomyType":167,"taxonomyTypeDesc":168},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[224,225,174,157,199,226,227,94,180,228,229,230,231,232,125,233,234,235,236,108],"documentation","quality documentation manager","workflow","change","change management","list","master","system management","documentation review","cfr","21 cfr part 11","change control","retention"]