alterlab-skill-name

<Verb-led statement of what the skill does, naming the real tools/libraries/databases/methods>. Use when <concrete trigger conditions and keywords a user's request would contain>. Part of the AlterLab Academic Skills suite.

Ir para a instalação

Repositório: AlterLab-IEU/AlterLab-Academic-Skills
Última atividade na origem: 10 de junho de 2026 às 10:29
Idioma detectado do SKILL.md: inglês
Estrelas: 62
Forks: 10

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-skill-name

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Explorador de arquivos

2 arquivos

SKILL.md

Instruções da origem · Visualização somente leitura

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alterlab-skill-finder

The AlterLab front door and multi-agent launcher — routes a task to the right AlterLab skill(s) when the user invokes the suite without naming one, and for a multi-stage goal (or on the keyword 'alterflow', aliases 'alterresearch' / 'ultralab') it CLARIFIES the goal with a few questions, SELECTS the skills the task needs, and runs a dynamic multi-agent workflow composing them (via alterlab-workflow-orchestration, alterlab-research-pipeline, or alterlab-ssci-orchestrator). Triggers on 'use AlterLab skills', 'which AlterLab skill for X', 'is there an AlterLab skill for…', a multi-stage research goal, 'alterflow …', or any generic AlterLab request where the user does not know skill names. It always asks clarifying questions before executing a multi-step run. Use when someone references AlterLab generically, describes a multi-stage goal, or fires the alterflow keyword; when the user already names a specific skill, defer to that skill directly. Part of the AlterLab Academic Skills suite.

2026-07-02

alterlab-meta-analysis

Runs quantitative meta-analysis — computes effect sizes (Hedges' g / standardized mean difference, log odds/risk ratios) with their variances, pools them under fixed-effect and random-effects models, quantifies heterogeneity (I-squared, tau-squared, Cochran's Q), draws forest and funnel plots, and tests publication bias (Egger's regression, trim-and-fill) — using statsmodels.stats.meta_analysis in Python or the field-standard R metafor via Rscript. It enforces PRISMA reporting and the random- vs fixed-effect decision. Use when pooling effect sizes across studies, running a systematic review's quantitative synthesis, or assessing heterogeneity and publication bias. For finding and screening the literature prefer alterlab-deep-research; for a single study's statistics prefer alterlab-statistical-analysis. Part of the AlterLab Academic Skills suite.

2026-07-02

alterlab-missing-data

Handles missing data with principled methods — forces an explicit MCAR / MAR / MNAR mechanism statement, then applies multiple imputation by chained equations (MICE) with Rubin's-rules pooling of estimates and standard errors, or full-information maximum likelihood (FIML) where a likelihood/SEM model applies. Uses statsmodels MICE / MICEData in Python or the field-standard R mice via Rscript, and warns that single (mean/regression) imputation and scikit-learn's IterativeImputer return one completed dataset without Rubin's-rules pooling, so they understate standard errors if used as multiple imputation. Use when a dataset has missing values, when choosing an imputation strategy, or when reporting how missingness was handled. For general modeling on complete data prefer alterlab-statistical-analysis; for latent-variable models with FIML prefer alterlab-sem-psychometrics. Part of the AlterLab Academic Skills suite.

2026-07-02

Ver todas deste repositório

name	alterlab-skill-name
description	<Verb-led statement of what the skill does, naming the real tools/libraries/databases/methods>. Use when <concrete trigger conditions and keywords a user's request would contain>. Part of the AlterLab Academic Skills suite.
license	MIT
allowed-tools	Read Write Edit Bash(python:*)
metadata	{"skill-author":"AlterLab","version":"1.0.0"}

Skill Title

One-paragraph overview: what this skill does and the value it adds. Keep the whole SKILL.md body under ~500 lines — move long detail into references/ (loaded on demand).

When to Use This Skill

Use this skill when the user wants to:

<concrete task 1>
<concrete task 2>

Does NOT Trigger

Scenario	Use Instead
	`alterlab-other-skill`

Core Capabilities

1.

Concrete, correct guidance with real APIs/commands. Cite real sources; never fabricate citations, benchmarks, or DOIs.

Resources

references/<topic>.md — detailed reference loaded on demand
scripts/<tool>.py — runnable helper (invoke as python scripts/<tool>.py)

alterlab-skill-name

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Skill Title

When to Use This Skill

Does NOT Trigger

Core Capabilities

1.

Resources

Mais deste repositório

Skill Title

When to Use This Skill

Does NOT Trigger

Core Capabilities

1.

Resources