Merges GitHub Pull Requests after validating pre-merge checklist. Use when user wants to merge PR, close PR, finalize PR, complete merge, approve and merge, or execute merge. Runs pre-merge validation (tests, lint, CI, comments), confirms with user, merges with proper format, handles post-merge cleanup.
Codebase organization for pikru. Use when you need to find where specific functionality lives.
Git command conventions for pikru. Use when running any git commands to avoid blocking on interactive pager.
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.
MST HUD statusline 래퍼를 설치합니다. 기존 statusLine.command를 백업하고 MST 래퍼로 교체합니다. 사용자가 'HUD 설치', 'statusline 설치', '/mst:hud-install'을 호출할 때 사용.
Fixes RadialGradientBrush compatibility issues in AvaloniaUI due to Issue
Implement observability solutions. Use when setting up monitoring, logging, or tracing. Covers OpenTelemetry, metrics, and alerting.
Query VictoriaMetrics metrics via curl. Use when running PromQL/MetricsQL queries, discovering metrics/labels, checking alerts and rules, inspecting TSDB status, exporting raw data, checking metric usage statistics, or debugging relabeling/downsampling/retention configs. Triggers on: metric queries, PromQL, MetricsQL, label discovery, series exploration, cardinality checks, alert status, recording rules, active/top queries, export data, metric statistics, relabel debug, downsampling debug, retention debug, flags.
ADK observability, Cloud Trace, prompt logging, agent analytics, BigQuery agent logs, ADK monitoring, ADK telemetry. Use when configuring tracing, logging, or analytics for ADK agents, debugging production agent behavior, or setting up monitoring for a deployed agent.
CloudWatch Logs の調査・分析。ログの検索、フィルタリング、Insights クエリの実行を行い、結果を要約して返す。
Design Service Level Objectives (SLOs) with SLIs, targets, alerting thresholds, and error budget calculations following Google SRE best practices. Use when defining reliability targets, designing SLOs, calculating error budgets, or establishing service level indicators.
Unified project health dashboard aggregating all quality metrics
Optimize CI/CD pipelines for speed, reliability, and efficiency. Use when improving build times, fixing pipeline failures, or enhancing deployment processes.
Autonomous decision-making engine for technical choices in technology selection, architecture patterns, and task ordering. Use when Maestro orchestrator needs to make decisions without human input for choosing libraries/frameworks based on existing codebase, selecting architectural patterns based on complexity and requirements, and optimizing task execution order based on dependency analysis. Analyzes codebase context, applies scoring rubrics, and returns structured decisions with rationale.
Configures Google Cloud Build pipelines with caching, parallel builds, and optimization. Use when setting up Cloud Build, optimizing build performance, or configuring CI/CD pipelines.
Structured logging, debugging (pdb/ipdb), profiling (cProfile/line_profiler), and performance monitoring. Use when adding logging, debugging issues, or optimizing performance. TRIGGER when: logging, debug, profiling, performance monitoring, metrics, stack trace. DO NOT TRIGGER when: feature implementation, testing, documentation, config changes.
Audit AWS security groups for overly permissive rules and security vulnerabilities. Use when reviewing AWS security, auditing security groups, or improving network security posture.
Designs CloudFormation stack structure, nested stacks, and resource organization. Use when designing CloudFormation infrastructure, organizing resources into stacks, or planning nested stack hierarchies.
Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates.
Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
