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Found 1,232 Skills
Verifica a Stack do Kestra. Além disso analisa parâmetros, rotas Traefik, volumes, recursos e conformidade do stack Kestra de Acordo com as Recomendações da Promovaweb.
Help teams continuously improve skills, automatically identify skill optimization opportunities (such as missing essential information, format issues, version update needs, etc.), execute secure update processes (backup, modification, testing, restoration), and ensure skill quality keeps improving as the project progresses
Creates runbook.md for DevOps setup. L3 Worker invoked CONDITIONALLY when hasDocker detected.
Audit Claude Code configuration against latest features and best practices. Use when user says "evolve", "self-improve", "audit config", "what's new in claude code", "upgrade configuration", "check for improvements", "are we up to date".
Professional DevOps engineering skill for creating CI/CD pipelines, implementing infrastructure as code, managing environments, and establishing monitoring and observability across all deployment stages.
Comprehensive mobile DevOps workflow that orchestrates mobile application development, CI/CD for mobile, app store deployment, and mobile device testing. Handles everything from mobile app build automation and testing to app store submission, monitoring, and mobile-specific DevOps practices.
DevOps, MLOps, DevSecOps practices for cloud environments (GCP, Azure, AWS)
Cloud and DevOps expert including AWS, GCP, Azure, and Terraform
Guides structured 4-stage experiment execution with attempt budgets and gate conditions: Stage 1 initial implementation (reproduce baseline), Stage 2 hyperparameter tuning, Stage 3 proposed method validation, Stage 4 ablation study. Integrates with evo-memory (load prior strategies, trigger IVE/ESE) and experiment-craft (5-step diagnostic on failure). Use when: user has a planned experiment, needs to reproduce baselines, organize experiment workflow, or systematically validate a method. Do NOT use for debugging a specific experiment failure (use experiment-craft) or designing which experiments to run (use paper-planning).
Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after idea-tournament), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating memory after completing idea tournaments or experiment pipelines, classifying why a method failed (implementation vs fundamental failure), starting a new research cycle needing prior knowledge, user mentions 'update memory', 'classify failure', 'what worked before', 'research history', 'evolution'. Do NOT use for running experiments (use experiment-pipeline), debugging experiment code (use experiment-craft), or generating ideas (use idea-tournament).
Install and configure Azure CLI with the Azure DevOps extension on macOS using Homebrew. Handles login, default organization/project configuration, and sanity checks. Use when the user wants to set up Azure DevOps CLI tools, install az cli, configure az devops defaults, or troubleshoot their Azure DevOps CLI setup on macOS.
Aprenda os fundamentos do Dockerfile e as melhores práticas para criar imagens de container prontas para produção