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: hygiene

Directorio en inglés

A Hermes agent memory provider for scope-aware recall with SQLite truth storage and LanceDB semantic search, enabling durable and local memory across sessions.

205
Stars
75/100
Confianza
Categoría: dataAuditoría

The cloud hygiene platform - including AI and GPU infrastructure

115
Stars
68/100
Confianza
Categoría: devopsAuditoría

Tidy Skill is an installable AI agent skill that enforces a three-layer hygiene model to keep agent artifacts intentional, scoped, and disposable, with clear documentation and validation.

20
Stars
62/100
Confianza
Categoría: utilityAuditoría

A collection of minimalistic, project-agnostic skills and rules for AI coding agents to improve documentation, context hygiene, and self-improvement.

25
Stars
66/100
Confianza
Categoría: coding-agentsAuditoría

A production-grade skills engine with 170+ reusable SKILL.md files for Claude Code and Codex agents covering web, mobile, AI, security, and more.

21
Stars
66/100
Confianza
Categoría: coding-agentsAuditoría

ValidKube combines the best open-source tools to help ensure Kubernetes YAML best practices, hygiene & security.

839
Stars
65/100
Confianza
Categoría: devopsAuditoría

Weekly dependency update workflow for Sesori Apps Monorepo. Updates every pubspec.yaml across the bridge and client workspaces plus standalone packages, regenerates all lockfiles, re-resolves iOS/macOS SwiftPM native dependencies (Package.resolved), updates Fastlane/Gemfile versions, handles conflicts, and verifies via analyze/test/codegen.

105
Stars
63/100
Confianza
Categoría: researchAuditoría

Use when grading, reviewing, rewriting, or approving a Hermes Agent SOUL.md. Uses the SOUL.md field-guide research artifacts as the only normative source for what makes a good SOUL.md.

58
Stars
67/100
Confianza
Categoría: researchAuditoría

ATS-safe + accessible resume/CV export standards (PDF/DOCX) — real ATS parsing limits, single-column rules, document-metadata accessibility (full PDF/UA-1 tagging is a future goal), country/industry CV norms (US/UK/DE), keyword hygiene. Load for changes under export/, model/, theme/, templates/, locale/, fonts, layout/.

51
Stars
60/100
Confianza
Categoría: data-analysisAuditoría

Use when the user wants to deeply learn a new topic from scratch. Runs a pre-interview (current knowledge, end-goal proficiency, depth, practice load, background, scope), researches online (articles, niche-influencer blogs, canonical docs, subtopic landscape), then produces a structured markdown course with mandatory visual diagrams, evidence-based learning-science features (retrieval practice, spaced callbacks, worked-example fading, concept ledger, jargon gate, analogy hygiene), and a self-contained interactive HTML mini-course. Triggers on /teach-me, "teach me about X", "I want to learn X", "deep dive on X", "create a course on X", "study X with me".

39
Stars
61/100
Confianza
Categoría: researchAuditoría

Use when generating, planning, authoring, or recording an Epic Web / Epic React style workshop, exercise, tip, or video. Applies Kent C. Dodds' "How to be an Epic Instructor" principles to workshop design, exercise structure, recording, and material delivery, and encodes Epic Web's exercise-comment emoji conventions. Used to generate workshops following https://www.epicweb.dev/get-started. Triggers on "create a workshop", "generate a workshop", "design an exercise", "record a workshop video", "Epic workshop", "Epic Web", "Epic React", or `/epic-workshop`.

39
Stars
57/100
Confianza
Categoría: design-creativeAuditoría

Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty.

16
Stars
65/100
Confianza
Categoría: researchAuditoría