error-investigation
AWS error investigation with multi-layer verification, CloudWatch analysis, and Lambda logging patterns. Use when debugging AWS service failures, investigating production errors, or troubleshooting Lambda funct...
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AWS error investigation with multi-layer verification, CloudWatch analysis, and Lambda logging patterns. Use when debugging AWS service failures, investigating production errors, or troubleshooting Lambda funct...
Write comprehensive tests following project conventions (tiers, patterns, anti-patterns). Use when writing tests, improving test coverage, fixing failing tests, or reviewing test quality.
Clone and customize existing templates (landing pages, dashboards, admin panels) with style extraction, config-driven content, and theme customization
Systematic investigation and root cause analysis. Use when debugging persistent issues, understanding complex systems, or before making architectural decisions.
Serverless deployment with zero-downtime, multi-environment strategies, and infrastructure validation. Use when deploying Lambda functions, managing environments, or troubleshooting deployment failures.
Database schema migration patterns for Aurora MySQL including reconciliation migrations, idempotent operations, and MySQL-specific gotchas.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Use when planning features and need current API docs, library patterns, or external knowledge - gathers well-sourced, current information from the internet to inform technical decisions
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Use when completing development phases or branches to identify and update CLAUDE.md files that may have become stale - analyzes what changed, determines affected contracts and documentation, and coordinates upd...
Use when implementing any feature or bugfix, before writing implementation code
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating or updating CLAUDE.md files for projects or subdirectories - covers top-level vs domain-level organization, capturing architectural intent and contracts, and mandatory freshness dates
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when executing implementation plans with independent tasks in the current session
Use when planning or designing features and need to understand current codebase state, find existing patterns, or verify assumptions about what exists - prevents hallucination by grounding plans in reality
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
Use when a plan is abandoned, obsolete, or superseded and should be archived
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.