.fyi
SkillsMCPPluginsSubagents

Browse by category

DevOps & CI/CD SkillsProductivity & Workflow SkillsOther SkillsProduct & Project Management SkillsDocumentation & Knowledge SkillsCode Review & Refactor SkillsBackend & APIs SkillsAgent Meta & Communication SkillsResearch SkillsSecurity SkillsUX UI & Design SkillsTesting & QA SkillsSee all →

Every Claude Code skill, MCP server, plugin and subagent in one directory. Searchable, comparable, and one command from installed. Live stats from GitHub, npm and PyPI.

We're on Product HuntYour agent's app storeCheck it out →
Agent SkillsMCP ServersPluginsSubagentsCoding Agents
CollectionsOfficial publishersGlossaryFAQBlogSearchSavedFeedback
PrivacyTermsllms.txtSitemap

made with ♥ · © 2026 aaaa.fyi

Independent project · real data from public registries

…/light-skills/light-result-analysis
home/skills/light0305/light-skills/light-result-analysis
light0305 avatar

light-result-analysis

bylight0305· 23 skills

Installs

23

Stars

487

Forks

64

Category

Data Science & Analytics

View on GitHub

TL;DR

Light 科研主线第 7 步·结果分析:不描述好坏、解释「为什么」,把每条结论绑死到 claim + 证据强度,并防 p-hacking。 何时用:实验跑完要解读结果 / 问「这些数说明什么」/ 要做显著性检验 + 效应量 + 置信区间 + 多重比较校正 / 担心 p-hacking (多重比较不校正、选择性报告、HARKing) / 要给每条 claim 定证据强度供写作校准措辞 / 判结果支不支撑假设、可不可复现。 触发词:结果分析 / 解读数据 / 这些结果说明什么 / 显著性 / p 值 / 效应量 effect size / Cohen's d / 置信区间 CI / 多重比较 / BH-FDR / Bonferroni / 校正 / p-hacking / 选择性报告 / garden of forking paths / HARKing / 证据强度 / claim 证据绑定 / SHAP / 消融分析 / 切片分析 / 配对检验 / result analysis。 核心纪律:统计错误 / p-hacking = critical(spec §4.2,STAGE_GATES[7]=[stat_validity,evidence_strength]); 过度解读 / 效应量缺失 = warn;显著性看 q 不看 p、不显著只能报「未见显著差异」、措辞强度必须匹配证据强度; 统计检查有边界,绝不吹「证明了方法有效 / 因果成立」。本技能是 7→5(不支撑假设)/ 7→6(不可复现)回炉发起方。

How to install light-result-analysis?

light0305/light-skills/light-result-analysis
$npx -y skills add light0305/light-skills --skill light-result-analysis

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Use this skill

Run `npx skills use "https://github.com/light0305/light-skills" --skill "light0305/light-skills/light-result-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.

Use the whole pack

Use the skills in "https://github.com/light0305/light-skills" that are relevant to the current task. Run `npx skills add "https://github.com/light0305/light-skills"` and select the relevant skills, then follow their instructions.

Preview

light0305/light-skillslight0305/light-skills

$ npx -y skills add light0305/light-skills --skill light-result-analysis

▸ installing to .claude/skills…

✓ light-result-analysis ready

Repolight0305/light-skills
TypeSkills
CategoryData Science & Analytics
ForResearcherAnalyst
UpdatedJul 2026
License—
First seenJul 27, 2026

Tags

Skill

Related

6 picks
Type
  1. microsoft avatarazure-kustoQuery and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.SkillsJul 2026484k1.3k
  2. coreyhaines31 avataranalyticsWhen the user wants to set up, improve, or audit analytics tracking and measurement.SkillsJul 202641k42k
  3. firecrawl avatarfirecrawl-dashboard-reportingPull metrics from analytics dashboards and internal web tools with Firecrawl browser.SkillsJun 202630k100
  4. wshobson avatardata-storytellingTransform data into compelling narratives using visualization, context, and persuasive structure.SkillsJul 202613k38k
  5. anthropics avatardata-visualizationCreate effective data visualizations with Python (matplotlib, seaborn, plotly).SkillsJul 202610k23k
  6. caffeinelabs avatarextension-oqlMake a canister's data queryable by the Caffeine Data Intelligence agent.SkillsJul 20268.8k0