Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: lane-finding

Directorio en inglés

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
Confianza
Categoría: design-creativeAuditoría

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

17K
Stars
87/100
Confianza
Categoría: agent-frameworksAuditoría

access to david ondrej's personal agent skills

2.7K
Stars
76/100
Confianza
Categoría: utilityAuditoría

A PHP static analysis tool for finding errors and security vulnerabilities in PHP applications

5.9K
Stars
86/100
Confianza
Categoría: developmentAuditoría

Help your coding agents (Claude Code, Codex, Qoder, Cursor, and other coding agents) get better at getting better.

1.1K
Stars
86/100
Confianza
Categoría: utilityAuditoría

A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.

2.6K
Stars
85/100
Confianza
Categoría: agent-frameworksAuditoría

JavaScript plugin for finding links in plain-text and converting them to HTML <a> tags.

2.0K
Stars
84/100
Confianza
Categoría: productivity-automationAuditoría

Property-based testing for web UIs, autonomously exploring and validating correctness properties, finding harder bugs earlier

1.3K
Stars
80/100
Confianza
Categoría: browser-automationAuditoría

A curated collection of reusable AI agent skills following the Agent Skills open format, designed to extend coding agents with specialized capabilities.

181
Stars
72/100
Confianza
Categoría: coding-agentsAuditoría

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
Confianza
Categoría: researchAuditoría

Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include "method validation", "analytical method validation", "AMV", "validation protocol", "acceptance criteria", "linearity", "reportable range", "accuracy and precision", "repeatability", "intermediate precision", "recovery", "LOD", "LOQ", "detection limit", "quantitation limit", "specificity", "robustness", "method transfer", "method comparison", "Deming", "Passing-Bablok", "Bland-Altman", "equivalence testing", "OOS investigation", "ICH Q2", "Q2(R2)", "Q14", "USP 1225", "ICH M10", "incurred sample reanalysis", "ISR", "CLSI EP", and any request to show that an assay works.

34K
Stars
67/100
Confianza
Categoría: researchAuditoría

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

25K
Stars
77/100
Confianza
Categoría: engineering / code qualityAuditoría