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: multipeak-fitting

Directorio en inglés

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría

Library for fitting the LPPLS model to data.

462
Stars
69/100
Confianza
Categoría: financeAuditoría

distfit is a python library for probability density fitting.

416
Stars
64/100
Confianza
Categoría: document-processingAuditoría

A portable agent skill for OpenAI-compatible image generation, editing, and batch workflows with QA and delivery tools.

27
Stars
69/100
Confianza
Categoría: design-creativeAuditoría

A dart package for many helper methods fitting common situations

384
Stars
63/100
Confianza
Categoría: productivity-automationAuditoría

Select, probe, calibrate, and audit the Burger viscoelastic contact model for PFC 5.0 asphalt-mixture cases, including Maxwell-Kelvin parameter roles, units, temperature/rate dependence, PFC5 cmat assignment, timestep checks, creep/recovery validation, and PFC5-only syntax boundary checks.

17
Stars
65/100
Confianza
Categoría: securityAuditoría

Pressure-test an existing plan or design artifact until it is coherent enough for the next workflow step or plainly blocked. Use when the user wants to be grilled on a plan, design doc, PRD, ADR, rollout plan, migration runbook, rolling-wave project shape, or slice contract; when they say "grill me"; or when Codex should interrogate a source-of-truth artifact, inspect code and adjacent docs before asking, auto-answer evidence-backed questions, ask only about conflicts or low-confidence recommendations, edit the original file in place, preserve the artifact's existing format, and keep conclusions, blockers, readiness, and deferred work synchronized in the document.

13
Stars
58/100
Confianza
Categoría: researchAuditoría