Directorio de skills

Descubre skills reutilizables para AI agents.

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Resultados de búsqueda: reduction

Directorio en inglés

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

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

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.

3.0K
Stars
73/100
Confianza
Categoría: design-creativeAuditoría

A curated, installable collection of Claude Code agent skills covering development, writing, productivity, and knowledge management workflows.

12
Stars
68/100
Confianza
Categoría: coding-agentsAuditoría

Dimensionality reduction in very large datasets using Siamese Networks

344
Stars
64/100
Confianza
Categoría: ml-automationAuditoría

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

282
Stars
63/100
Confianza
Categoría: automationAuditoría

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

282
Stars
61/100
Confianza
Categoría: automationAuditoría

A collection of opinionated agent skills for Claude Code, including sparring, design, planning, and auditing workflows.

10
Stars
62/100
Confianza
Categoría: coding-agentsAuditoría

17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability costs.

88
Stars
58/100
Confianza
Categoría: securityAuditoría

Analyzes cloud infrastructure and architectures to identify wasted spend and right-sizing opportunities.

21
Stars
58/100
Confianza
Categoría: securityAuditoría

Investigate and reduce SigNoz telemetry ingestion cost and metric cardinality across metrics, logs, and traces. Find what drives SigNoz spend (via the Cost Meter), which metrics have runaway or unbounded label cardinality, and safe, dashboard-, alert-, and Infra-page-aware ways to cut volume. Make sure to use this skill whenever the user asks "why is my SigNoz bill so high", "what's driving my ingestion cost", "reduce telemetry volume", "which metrics cost the most", "cardinality health check", or "what can I safely drop" — or otherwise asks about telemetry spend, ingestion volume, or metric cardinality, even if they don't say "cost" or "optimize" explicitly.

15
Stars
65/100
Confianza
Categoría: automationAuditoría