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: runbook

Directorio en inglés

A framework for gradual system automation

766
Stars
63/100
Confianza
Categoría: devopsAuditoría

Unofficial OpenClaw runbook for running agents day to day without burning money, exposing your gateway, or trusting random automation.

1.1K
Stars
84/100
Confianza
Categoría: agent-frameworksAuditoría

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

90K
Stars
80/100
Confianza
Categoría: securityAuditoría

LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.

42
Stars
67/100
Confianza
Categoría: utilityAuditoría

Practical Claude Code runbooks for clean, resource-efficient open-source development - from planning and implementation to debugging, review, release, and deployment

10
Stars
62/100
Confianza
Categoría: utilityAuditoría

Runbook automation platform with deep observability integrations for SRE & On-Call Teams

456
Stars
67/100
Confianza
Categoría: devopsAuditoría

Core Plain Language standard (ISO 24495-1:2023). Governs all user-facing responses to ensure clear, structured, findable, understandable, and actionable output.

89
Stars
67/100
Confianza
Categoría: automationAuditoría

Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz — sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package — even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly.

15
Stars
58/100
Confianza
Categoría: data-analysisAuditoría

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